Analysis of an Interview Based on Emotion Detection Using Convolutional Neural Networks
Keywords:
HR interview, Convolution Neural Network (CNN), Eye blink rate, Eye-gaze tracking, Emotion Recognition.
Abstract
Interviewing potential employees is an essential component of the employment process. Many people have difficulty progressing through the one-on-one interview sessions, despite having performed exceptionally well in the earlier rounds of the competition. The very reason for this is that people do not conduct enough self-analysis on the facial expressions and degrees of confidence they project during interviews. The candidates' technical, verbal, and logical skills are evaluated in a series of mock interviews; however, there are not enough resources available to help the candidates prepare for the actual face-to-face interviews. Using Convolution Neural Networks (CNN), the goal is to recognise and analyse the emotions that are being expressed by the candidates in order to determine the level of confidence that a person has. The computation of eye blink rate to detect anxiety and eye gaze tracking to detect distraction are both utilised in this study so that the accuracy of the results can be improved. The results are then compiled and delivered to the candidate in the form of a report. This provides the interview candidates with valuable information that can effectively assist them in preparing for their one-on-one interviews.
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References
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150. R. Regin, Steffi. R, Jerusha Angelene Christabel G, Shynu T, S. Suman Rajest (2022), “Internet of Things (IoT) System Using Interrelated Computing Devices in Billing System”, Journal of Advanced Research in Dynamical and Control Systems, Vol.14, no.1, pp. 24-40.
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153. R. Steffi, G. Jerusha Angelene Christabel, T. Shynu, S. Suman Rajest, R. Regin (2022), “ A Method for the Administration of the Work Performed by Employees”, Journal of Advanced Research in Dynamical and Control Systems, Vol.14, no.1, pp. 7-23.
154. Rajest, S. S. ., Regin, R. ., T, S. ., G, J. A. C. ., & R, S. . (2022). Production of Blockchains as Well as their Implementation. Vital Annex : International Journal of Novel Research in Advanced Sciences, 1(2), 21–44.
155. Rathi, S., Chaturvedi, S., Abdullah, S., Rajput, G., Alqahtani, N. M., Chaturvedi, M., Gurumurthy, V., Saini, R., Bavabeedu, S. S., & Minervini, G. (2023). Clinical Trial to Assess Physiology and Activity of Masticatory Muscles of Complete Denture Wearer Following Vitamin D Intervention. Medicina, 59(2), 410.
156. Ravinder M and Kulkarni V (2023), Intrusion detection in smart meters data using machine learning algorithms: A research report. Front. Energy Res. 11:1147431.
157. Regin, D. R., Rajest, D. S. S., T, S., G, J. A. C., & R, S. (2022). An Automated Conversation System Using Natural Language Processing (NLP) Chatbot in Python. Central Asian Journal Of Medical And Natural Sciences, 3(4), 314-336.
158. S. R. Sandeep, S. Ahamad, D. Saxena, K. Srivastava, S. Jaiswal, and A. Bora, ‘To understand the relationship between Machine learning and Artificial intelligence in large and diversified business organisations’, Materials Today: Proceedings, vol. 56, pp. 2082–2086, 2022.
159. S. S. Rajest, R. Regin, S. T, J. A. C. G, and S. R, “Improving Infrastructure and Transportation Systems Using Internet of Things Based Smart City”, CAJOTAS, vol. 3, no. 9, pp. 125-141, Sep. 2022.
160. S. Tripathi and A. Al -Zubaidi, “A Study within Salalah’s Higher Education Institutions on Online Learning Motivation and Engagement Challenges during Covid-19,” FMDB Transactions on Sustainable Techno Learning., vol. 1, no. 1, pp. 1–10, 2023.
161. S. Tripathi and M. Al-Shahri, “Problems and Prospects on the Evolution of Advertising and Public Relations Industries in Oman,” FMDB Transactions on Sustainable Management Letters., vol. 1, no. 1, pp. 1–11, 2023.
162. Shaikh Abdul Hannan, "Heart Disease Diagnosis by using FFBP and GRNN algorithm of Neural Network", International Journal of Computer Science and Information Security, Vol 12, Number 6, June 2014, ISSN 1945-5500, United States of America.
163. Shaikh Abdul Hannan, “A Blockchain Technology to secure electronic Health Records in Healthcare System, London Journal of Research in Computer Science and Technology, Vol 23, Issue 1, PP 1-13, London Journal Press, 10 Feb 2023.
164. Shaikh Abdul Hannan, “Application and Scope of Blockchain in Technical Research and Higher Education” Vol 20, Issue 15, page 6185-6191, NeuroQuantology, Nov 2022.
165. Shaikh Abdul Hannan, A.V. Mane, R. R. Manza and R. J. Ramteke, “Prediction of Heart Disease Medical Prescription Using Radial Basis Function", IEEE International Conference on Computational Intelligence and Computing Research at Tamilnadu College of Engineering, Coimbatore, Tamilnadu, India, ICCIC-2010, December 28-29, 2010.
166. Shaikh Abdul Hannan, An Examination of the Blockchain Technology: Challenges and Future Opportunities, International Journal Of Engineering And Computer Science, Volume11 Issue 09, 2022, Page No.25612-25619.
167. Shaikh Abdul Hannan, Bharatratna P. Gaikwad, Ramesh Manza, "Brain Tumor from MRI Images : A Review". International Journal of Scientific and Engineering Research (IJSER), Volume 5, Issue 4, April-2014 ISSN 2229-5518, France.
168. Shaikh Abdul Hannan, Jameel Ahmed, Naveed Ahmed, Rizwan Alam Thakur, “Data Mining and Natural Language Processing Methods for Extracting Opinions from Customer Reviews”, International Journal of Computational Intelligence and Information Security, pp 52-58, Vol. 3, No. 6, July 2012.
169. Shaikh Abdul Hannan, Manjusha Hivre, Lata, M., Krishna, B. H., Sathyasiva, S., & Arshad, M. W. “Brain damage detection using Machine learning approach”, International Journal of Health Sciences, Special Issue VIII, 27 Sept. 2022, PP 4910-4924, ISSN 2550-6978.
170. Shaikh Abdul Hannan, R. R. Manza and R.J. Ramteke, “Association Rules for Filtering The Medicine To Avoid Side Effects Of Heart Patients”, on 16 -19 Dec 2009, at Advances in Computer Vision and Information Technology – 09, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad.
171. Shaikh Abdul Hannan, V. D. Bhagile, R. R. Manza, R. J. Ramteke, "Development of an Expert System for Diagnosis and appropriate Medical Prescription of Heart Disease Using Support Vector Machine and Radial Basis Function", International Journal of Computer Science and Information Security, (IJCSIS) August issue (Vol. 8 No. 5), 2010, Pages/record No.: 245-254.
172. Shifat, A. Z., Stricklin, I., Chityala, R. K., Aryal, A., Esteves, G., Siddiqui, A., & Busani, T. (2023). Vertical Etching of Scandium Aluminum Nitride Thin Films Using TMAH Solution. Nanomaterials, 13(2), 274.
173. Solanki, J., Jain, R., Singh, R., Gupta, S., Arya, A., & Tomar, D. (2015). Prevalence of Osteosclerosis Among Patients Visiting Dental Institute in Rural Area of Western India. Journal of clinical and diagnostic research : JCDR, 9(8), ZC38–ZC40.
174. Srinath Venkatesan, "Utilization of Media Skills and Technology Use Among Students and Educators in The State of New York", Neuroquantology, Vol. 21, No 5, pp. 111-124, (2023).
175. Srinath Venkatesan, “Challenges of Datafication: Theoretical, Training, And Communication Aspects of Artificial Intelligence” Ion exchange and adsorption. Volume 23, Issue 1, 2023.
176. Srinath Venkatesan, “Design an Intrusion Detection System based on Feature Selection Using ML Algorithms”, MSEA, vol. 72, no. 1, pp. 702–710, Feb. 2023
177. Srinath Venkatesan, “Identification Protocol Heterogeneous Systems in Cloud Computing”, MSEA, vol. 72, no. 1, pp. 615–621, Feb. 2023.
178. Srinath Venkatesan, “Perspectives and Challenges of Artificial Intelligence Techniques in Commercial Social Networks”Volume 21, No 5 (2023).
179. Srinath Venkatesan, Sandeep Bhatnagar, Iván Mesias Hidalgo Cajo, Xavier Leopoldo Gracia Cervantes, "Efficient Public Key Cryptosystem for wireless Network", Neuroquantology, Vol. 21(5), pp. 600-606, (2023).
180. Srinath Venkatesan, Sandeep Bhatnagar, José Luis Tinajero León, "A Recommender System Based on Matrix Factorization Techniques Using Collaborative Filtering Algorithm", neuroquantology, vol. 21, no. 5, pp. 864-872, march 2023.
181. Srinath Venkatesan, Zubaida Rehman, “The Power Of 5g Networks and Emerging Technology and Innovation: Overcoming Ongoing Century Challenges” Ion exchange and adsorption, Volume 23, Issue 1, 2023.
182. Swati Saxena, Shaikh Abdul Hannan, “Women Warrior – Android Mobile Application for Women Security” International Journal of Computer Science and Information Technologies, Volume 13, Issue 3, PP 76-84, India, June 2022.
183. Syed Immamul Ansarullah, Syed Mohsin Saif, Pradeep Kumar, Mudasir Manzoor Kirmani, "Significance of Visible Non-Invasive Risk Attributes for the Initial Prediction of Heart Disease Using Different Machine Learning Techniques", Computational Intelligence and Neuroscience, vol. 2022, Article ID 9580896, 12 pages, 2022.
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195. Yogesh, Abdul Hannan, Rahul Sagar, Kishor Jave, Identification and Counting Trees from Oil Palm Plantations Using Digital Image Processing Techniques, International Journal of Engineering Research & Technology (IJERT), Vol. 6 Issue 05, May – 2017, ISSN: 2278-0181.
196. Yuvaraj. P, Vikram K, K. Venkata Lakshmi Narayana, A Review on state of art variants of LEACH protocol for Wireless Sensor Networks, Sensors & Transducers Journal, ISSN 1726-5479, U.K. vol. 186, Issue 3, pp.25-32, March 2015.
2. Gaurav Kumawat, Santosh Kumar Viswakarma, Prasun Chakrabarti , Pankaj Chittora, Tulika Chakrabarti , Jerry Chun-Wei Lin, “Prognosis of Cervical Cancer Disease by Applying Machine Learning Techniques”, Journal of Circuits, Systems, and Computers, 2022.
3. Abrar Ahmed Chhipa, Prasun Chakrabarti, Vadim Bolshev , Tulika Chakrabarti , Gennady Samarin, Alexey N. Vasiyev, Sandeep Ghosh, Alexander Kudryavtsev, “Modeling and Control Strategy of Wind Energy Conversion System with Grid-Connected Doubly Fed Induction Genenator”, Energies , 15, 6694, 2022.
4. Tulika Chakrabarti, Sibabrata Mukhopadhyay, Prasun Chakrabarti, Gholamreza Hatam, Mohammad Nami, “Phenyl Ethanoid Glycoside from the Bark of Oroxylum indicum Vent: a Potential Inhibitor of DNA Topoisomerase IB of Leishmania donovani”, Journal of Advanced Medical Sciences and Applied Technologies, 2022.
5. B Prasanalakshmi , Bui Thanh Hung, Prasun Chakrabarti, Xue-bo Jin, Tulika Chakrabarti, Ahmed Elngar, “A Novel Artificial Intelligence-Based Predictive Analytics Technique to Detect Skin Cancer”, 2022.
6. S Ningthoujam, T Chingkheinganba, S K Chakraborty, A Elngar, Prasun Chakrabarti, Tulika Chakrabarti, Praveen, S. Phani , Amit Gupta, Margala, Martin, “Performance Analysis for Molecular Communication Under Feedback Channel Using Multipath and Single Path Technique”, Pre-print, 2022.
7. Pankaj Chittora, Tulika Chakrabarti, Papiya Debnath, Amit Gupta, Prasun Chakrabarti, S Phani Praveen, Martin Margala, Ahmed A Elngar , “Experimental analysis of earthquake prediction using machine learning classifiers, curve fitting, and neural modeling”, Pre-print, 2022.
8. Umesh Agarwal, Abrar Ahmed Chhipa, Tulika Chakrabarti, Amit Gupta, S Phani Praveen, Prasun Chakrabarti, Neha Sharma, Ahmed A Elngar , “Reliability Evaluation of Radial Distribution Network for Educational purpose using Greedy Search Approach-Distribution Network Data and Results”, Pre-print, 2022.
9. Nagendra Singh, Manish Tiwari, Tulika Chakrabarti, Prasun Chakrabarti, Om Prakash Jena, Ahmed A Elngar, Vinayakumar Ravi, Martin Margala, “Minimization of Environmental Emission and cost of generation by using economic load dispatch”, Pre-print, 2022.
10. Akhilesh Deep Arya, Sourabh Singh Verma, Prasun Chakrabarti, Tulika Chakrabarti, Ahmed A Elngar, Mohammad Nami, Ali-Mohammad Kamali, “A Systematic Review on Machine Learning and Deep Learning Techniques in the Effective Diagnosis of Alzheimer’s Disease”, Pre-print, 2022.
11. Suchismita Gupta, Bikramjit Sarkar, Subhrajyoti Saha, Indranath Sarkar, Prasun Chakrabarti, Sudipta Sahana, Tulika Chakrabarti, Ahmed A Elngar, “A Novel Approach Toward the Prevention of the Side Channel Attacks for Enhancing the Network Security”, Pre-print, 2022.
12. Naveen S Pagad, N Pradeep, Tulika Chakrabarti, Prasun Chakrabarti, Ahmed A Elngar, Martin Margala, Mohammad Nami, Neha Sharma, Samuel Frimpong, “Clinical XLNet-based End-to-End Knowledge Discovery on Clinical Text Data using Natural Language Processing”, Pre-print, 2022.
13. K Suvarna Vani, Bui Thanh Hung, Prasun Chakrabarti, Tulika Chakrabarti, Ahmed A Elngar, “Detection and Classification of Invasive Ductal Carcinoma using Artificial Intelligence”, Pre-print, 2022.
14. KS Balamurugan, Prasun Chakrabarti, Tulika Chakrabarti, Amit Gupta, Ahmed A Elngar, Mohammad Nami, Vinayakumar Ravi, Grienggrai Rajchakit, M Ali Akbar, “Improving the Performance of Diagnosing Chronic obstructive Lung Disease Using Outlier Detection with Decision Tree Algorithm”, Pre-print, 2022.
15. Ruhul Amin Hazarika, Arnab Kumar Maji, Debdatta Kandar, Prasun Chakrabarti, Tulika Chakrabarti, KS Jagannatha Rao, Jose Carvalho, Babak Kateb, Mohammad Nami, “An evaluation on changes in Hippocampus size for Cognitively Normal (CN), Mild Cognitive Impairment (MCI), and Alzheimer’s disease (AD) patients using Fuzzy Membership Function”, OSF Preprints, 2021.
16. Jitendra Shreemali, Prasun Chakrabarti, Tulika Chakrabarti, Sandeep Poddar, Daniel Sipple, Babak Kateb, Mohammad Nami, “A Machine Learning Perspective on Causes of Suicides and identification of Vulnerable Categories using Multiple Algorithms”, medRxiv, 2021.
17. Papiya Debnath, Pankaj Chittora, Tulika Chakrabarti, Prasun Chakrabarti, Zbigniew Leonowicz, Michal Jasinski , Radomir Gono, Elżbieta Jasińska, “Analysis of earthquake prediction in India using supervised machine learning classifiers”, Sustainibility ,13(2):971 , 2021.
18. 21. Pankaj Chittora, Sandeep Chaurasia, Prasun Chakrabarti, Gaurav Kumawat, Tulika Chakrabarti, Zbigniew Leonowiz, Michael Jaisinski, Lukasz Jaisinski, Radomir Gono, Elzbieta Jaisinski, Vadim Bolshev, “Prediction of Chronic Kidney Disease - A Machine Learning perspective", IEEE Access, 9 : 17312-17334,2021
19. Akhilesh Kumar Sharma, Gaurav Aggarwal, Sachit Bhardwaj, Prasun Chakrabarti, Tulika Chakrabarti, Jemal Hussain, Siddhartha Bhattarcharyya, Richa Mishra, Anirban Das, Hairulnizam Mahdin, “Classification of Indian Classical Music with Time-Series Matching using Deep Learning”, IEEE Access , 9 : 102041-102052 , 2021.
20. Abrar Ahmed Chhipa , Vinod Kumar, R. R. Joshi, Prasun Chakrabarti, Michal Jaisinski, Alessandro Burgio, Zbigniew Leonowicz, Elzbieta Jasinska, Rajkumar Soni, Tulika Chakrabarti, “Adaptive Neuro-fuzzy Inference System Based Maximum Power Tracking Controller for Variable Speed WECS”, Energies ,14(19) :6275, 2021.
21. Tulika Chakrabarti, Sibabrata Mukhopadhyay, Prasun Chakrabarti, Gholamreza Hatam, Mohammad Nami, “Phenyl Ethanoid Glycoside from the bark of Oroxylum indicum vent : a potential inhibitor of DNA Topoisomerase IB of Leismania donovani”, Journal of Advanced Medical Sciences and Applied Technologies , 2021.
22. Sreemoy Kanti Das, GS Chakraborthy, Tulika Chakrabarti, Prasun Chakrabarti, Mohammad Javad Gholamzadeh, Mohammad Nami, “Evaluation of nootropic activity of standardized Epipremnum aureum extract against scopolamine-induced amnesia in experimental animals”, Journal of Advanced Medical Sciences and Applied Technologies , 6(1): 64-71,2021
23. Prasun Chakrabarti , Tulika Chakrabarti , Mayank Sharma. , D Atre D, K.Baba Pai, “Quantification of Thought Analysis of Alcohol-addicted persons and memory loss of patients suffering from stage-4 liver cancer”, Advances in Intelligent Systems and Computing, 1053, pp.1099-1105, 2020.
24. Prasun Chakrabarti, Tulika Chakrabarti , Biswajit Satpathy, I SenGupta , Jonathan Andrew Ware, “Analysis of strategic market management in the light of stochastic processes, recurrence relation, Abelian group and expectation”, Advances in Artificial Intelligence and Data Engineering, 1133 , pp.701-710, 2020
25. Prasun Chakrabarti, Siddhant Bane, Biswajit Satpathy , Mark Goh , B N Datta , Tulika Chakrabarti, “Compound Poisson Process and its Applications in Business”, Lecture Notes in Electrical Engineering, 601, pp.678-685,2020.
26. Prasun Chakrabarti , Biswajit Satpathy, Siddhant Bane, Tulika Chakrabarti, N S Chaudhuri, Pierluigi Siano , “Business forecasting in the light of statistical approaches and machine learning classifiers”, Communications in Computer and Information Science , 1045, pp.13-21, 2019.
27. Manish Tiwari, Prasun Chakrabarti, Tulika Chakrabarti , “Novel work of diagnosis in liver cancer using Tree classifier on liver cancer dataset (BUPA liver disorder )” , Communications in Computer and Information Science , 837, pp.155-160, 2018.
28. Manish Tiwari, Prasun Chakrabarti, Tulika Chakrabarti , “Performance analysis and error evaluation towards the liver cancer diagnosis using lazy classifiers for ILPD”, Communications in Computer and Information Science , 837, pp.161-168,2018.
29. Prasun Chakrabarti, Manish Tiwari, Tulika Chakrabarti, “Performance Vector analysis in context to liver cancer-A Support Vector Machine Approach with a survey on the latest Perspectives of Chemistry in liver cancer treatment”, International Journal of Computer Science and Information Security, 14(9):1238,2016.
a. Uthiramoorthy, A. Bhardwaj, J. Singh, K. Pant, M. Tiwari and J. L. A. Gonzáles, "A Comprehensive review on Data Mining Techniques in managing the Medical Data cloud and its security constraints with the maintained of the communication networks," 2023 International Conference on Artificial Intelligence and Smart Communication (AISC), Greater Noida, India, 2023, pp. 618-623.
30. D. S. Das, D. Gangodkar, R. Singh, P. Vijay, A. Bhardwaj and A. Semwal, "Comparative Analysis of Skin Cancer Prediction using Neural Networks and Transfer Learning," 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), Uttar Pradesh, India, 2022, pp. 367-371.
a. Chaturvedi, A. Bhardwaj, D. Singh, B. Pant, J. L. A. Gonzáles and F. A., "Integration of DL on Multi-Carrier Non-Orthogonal Multiple Access System with Simultaneous Wireless Information and Power Transfer," 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India, 2022, pp. 640-643.
31. Praveen Kumar Sharma, Sushil Sharma, Common fixed point for weakly compatible maps in intuitionistic fuzzy metric spaces using property (S-B)”, Journal of Non-linear Analysis Optimization and Theory, Vol 5, No.2 (2014), 105-117.
32. Praveen Kumar Sharma, Sushil Sharma, Common fixed point theorem in intuitionistic fuzzy metric space under strict contractive conditions", Journal of Non-linear Analysis Optimization and Theory Vol 3 No.2 (2012), 161-169.
33. Praveen Kumar Sharma, Common fixed points for weakly compatible maps in intuitionistic fuzzy metric spaces using the property (CLRg)”, International Knowledge Press, Asian Journal of Mathematics & Computer Research, Vol 6, No.2 (2015), 138-150.
34. Praveen Kumar Sharma, Shivram Sharma, Common Fixed Point Theorems for Six Self Maps in FM-Spaces Using Common Limit in Range Concerning Two Pairs of Products of Two Different Self-maps”, Revista Geintec-Gestao Inovacao E Tecnologias, Vol 11, No. 4 (2021), 5634-5642.
35. Shivam Sharma, Praveen Kumar Sharma,A study of SIQR model with Holling type–II incidence rate”, Malaya Journal of Matematik, Vol. 9, No. 1, 305-311.
36. J. J. Patil, Y. H. Patil, A. Ghosh, “Comprehensive and analytical review on optical fiber refractive index sensor”, 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI) (48184), IEEE, P. 169-175, June. 15, 2020.
37. H. Bohra, A. Ghosh, “Design and analysis of microstrip low pass and band stop filters”, International Journal of Recent Technology and Engineering (IJRTE), Vol. 8, Issue 3, P. 6944-6951, Sept. 2019.
38. Y. H. Patil, A. Ghosh, “Optical fiber humidity sensors: a review”, 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI) (48184), IEEE, P. 207-213, June. 15, 2020.
39. J. J. Patil, Y. H. Patil, A. Ghosh, “Fiber Optics Refractive Index Sensor based on Intensity Modulation”, 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), IEEE, P. 623-628, May. 2020.
40. H. Bohra, A. Ghosh, A. Bhaskar, A. Sharma, “A miniaturized notched band microstrip wideband filter with hybrid defected ground structure technique”, 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT), IEEE, P. 745-750, Aug. 2020.
41. Y. H. Patil, J. J. Patil, A. Gaikwad, A. Ghosh, “Development of Optical Fiber Test Bench for Intensity-Modulated Optical Fiber Sensors”, 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI) (48184), IEEE, P. 176-180, June. 2020.
42. H. Bohra, A. Ghosh, “A Review on Different Optimization Techniques for Selecting Optimal Parameters in Microstrip Bandpass Filter Design”, International Journal of Advanced Science and Technology, Vo. 28, Issue 14, P. 379-394, Nov. 2019.
43. J. Terdale, A. Ghosh, “An intensity-modulated optical fiber sensor with agarose coating for measurement of refractive index”, International Journal of System Assurance Engineering and Management, Springer India, P. 1-7, Nov. 2022.
44. J. J. Patil, A. Ghosh, “Intensity Modulation based U shaped Plastic Optical Fiber Refractive Index Sensor” 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI), IEEE, P. 18-24, Apr. 2022.
45. H. Bohra, A. Ghosh, A. Bhaskar, “Design and Analysis of Spurious Harmonics Suppressed Microstrip Ultrawide Band Filter using Modified Defected Ground Structure Techniques”, Wireless Personal Communications, Springer US, Vol. 121, Issue 1, P. 361-380, Nov. 2021.
46. H. Bohra, A. Ghosh, A. Bhaskar, A. Sharma, “A Miniaturized Ultra-Wideband Low-Pass Microstrip Filter Design using Modified Defected Ground Structure Techniques”, Invertis University, Vol. 14, Issue 1, P. 25-30, 2021.
a. Ghosh, P. Chakrabarti, P. Siano, “Approach towards realizing the Security Threats for Mobile IPv6 and Solution Thereof”, International Journal of Computer Applications, Foundation of Computer Science, Vol. 90, Issue 10, Jan. 2014.
47. Ghosh, P. Chakrabarti, D. Bhatnagar, “Performance Evaluation of Optimized Mobile IP Protocol Vis-à-vis Bit Map Indexing Method”, International Journal of Computer Applications, Foundation of Computer Science, Vol. 75, Issue: 2, Jan. 2013.
48. H. Patidar, P. Chakrabarti, A. Ghosh, “Parallel Computing Aspects in Improved Edge Cover Based Graph Coloring Algorithm”, Indian Journal of Science and Technology, Vol. 10, P. 25, Jul. 2017.
49. Mathew, Sneha & Thapar, Lakhvinder. (2019). Estimation of Protein Intake on the Basis of Urinary Urea Nitrogen in Patients with Non-Alcoholic Fatty Liver. International Journal for Research in Applied Science and Engineering Technology. 7. 2321-9653.
50. V. Bansal, S. Pandey, S. K. Shukla, D. Singh, S. A. Rathod and J. L. A. Gonzáles, "A Frame Work of Security Attacks, Issues Classifications and Configuration Strategy for IoT Networks for the Successful Implementation," 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), Uttar Pradesh, India, 2022, pp. 1336-1339.
51. V. Gunturu, V. Bansal, M. Sathe, A. Kumar, A. Gehlot and B. Pant, "Wireless Communications Implementation Using Blockchain as Well as Distributed Type of IOT," 2023 International Conference on Artificial Intelligence and Smart Communication (AISC), Greater Noida, India, 2023, pp. 979-982.
52. V. Suthar, V. Bansal, C. S. Reddy, J. L. A. Gonzáles, D. Singh and D. P. Singh, "Machine Learning Adoption in Blockchain-Based Smart Applications," 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), Uttar Pradesh, India, 2022, pp. 372-378, doi: 10.1109/IC3I56241.2022.10072980.
53. D. Uike, S. Agarwalla, V. Bansal, M. K. Chakravarthi, R. Singh and P. Singh, "Investigating the Role of Block Chain to Secure Identity in IoT for Industrial Automation," 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India, 2022, pp. 837-841.
54. S. Sonnad, M. Sathe, D. K. Basha, V. Bansal, R. Singh and D. P. Singh, "The Integration of Connectivity and System Integrity Approaches using Internet of Things (IoT) for Enhancing Network Security," 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), Uttar Pradesh, India, 2022, pp. 362-366.
55. Pooja Chopra, N. Junath, Sitesh Kumar Singh, Shakir Khan, R. Sugumar, Mithun Bhowmick, "Cyclic GAN Model to Classify Breast Cancer Data for Pathological Healthcare Task", BioMed Research International, vol. 2022, Article ID 6336700, 12 pages, 2022.
56. Khan, S. (2016). How Data Mining Can Help Curb City Crime. International Journal of Control Theory and Applications (IJCTA), 9(23), 483-488.
57. AlAjmi, M., & Khan, S. (2013). Mobile Community Networks Information Investigation for Additional Significance. Paper presented at the ICERI2013 Proceedings.
58. Khan, S. (2021). Data Visualization to Explore the Countries Dataset for Pattern Creation. International Journal of Online Biomedical Engineering, 17(13), 4-19.
59. Khan, S. (2021). Study Factors for Student Performance Applying Data Mining Regression Model Approach. International Journal of Computer Science Network Security, 21(2), 188-192.
60. AlAjmi, M., & Khan, S. (2015). Part of Ajax and Openajax In Cutting Edge Rich Application Advancement For E-Learning. Paper presented at the INTED2015 Proceedings.
61. Khan, S., & Alfaifi, A. (2020). Modeling of Coronavirus Behavior to Predict It’s Spread. International Journal of Advanced Computer Science Applications, 11(5), 394-399.
62. Khan, S. (2020). Artificial Intelligence Virtual Assistants (Chatbots) are Innovative Investigators. International Journal of Computer Science Network Security, 20(2), 93-98.
63. Gupta, G., Khan, S., Guleria, V., Almjally, A., Alabduallah, B. I., Siddiqui, T., Albahlal, B. M., et al. (2023). DDPM: A Dengue Disease Prediction and Diagnosis Model Using Sentiment Analysis and Machine Learning Algorithms. Diagnostics, 13(6), 1093.
64. Khan, S., & Alshara, M. (2019). Development of Arabic evaluations in information retrieval. International Journal of Advanced Applied Sciences, 6(12), 92-98.
65. Fazil, M., Khan, S., Albahlal, B. M., Alotaibi, R. M., Siddiqui, T., & Shah, M. A. (2023). Attentional Multi-Channel Convolution With Bidirectional LSTM Cell Toward Hate Speech Prediction. IEEE Access, 11, 16801-16811.
66. Khan, S., AlAjmi, M., & Sharma, A. (2012). Safety Measures Investigation in Moodle LMS. Special Issue of International Journal of Computer Applications, ICNICT(4), 41-44.
67. AlAjmi, M., & Shakir, K. (2013). Data Mining in Learning Management System utilizing Moodle. Paper presented at the INTED2013 Proceedings.
68. AlAjmi, M., & Khan, S. (2012). The Utility of New Technologies in Enhancing Learning Vigilance in Educationally Poor Populations. Paper presented at the EDULEARN12 Proceedings.
69. Khan, S., AlAjmi, D. M., Sarwar, A., & Akhtar, A. (2013). Keeping Data on Clouds: Cloud Computing Significance. International Journal of Engineering Science Research IJESR, 3(3).
70. AlAjmi, M., & Khan, S. (2012). Data Mining–Based, Service Oriented Architecture (SOA) In E-Learning. Paper presented at the Iceri2012 Proceedings.
71. Alajmi, M., & Khan, S. (2011). Effective Use of Web 2.0 Tools In Pharmacy Students'clinical Skills Practice During Field Training. Paper presented at the iceri2011 proceedings.
72. Khan, S. (2017). An Inter-Operability and Open Source Problem for Integrated Library System (Koha) and Digital Library (Dspace) As Single System. Paper presented at the Edulearn17 Proceedings.
73. Khan, S. (2018). Modern Internet of Things as a Challenge for Higher Education. International Journal of Computer Science Network Security, 18(12), 34-41.
74. Salehi, A. W., Khan, S., Gupta, G., Alabduallah, B. I., Almjally, A., Alsolai, H., Siddiqui, T., et al. (2023). A Study of CNN and Transfer Learning in Medical Imaging: Advantages, Challenges, Future Scope. Sustainability, 15(7), 5930.
75. Shaikh Abdul Hannan, “Development of Digital Transformation in Higher Education Institutions”, Journal of Computer Science & Computational Mathematics, Volume 13, Issue 01, pp 1-8, March 2023.
76. Shaikh Abdul Hannan, Pushparaj Pal, “Detection and classification of kidney disease using convolutional neural networks”, Journal of Neurology and Neurorehabilitation Research, Vol 8, Issue 2, pp 1-7, 2023.
77. Shaikh Abdul Hannan; Ms. Preeti Gupta; P. Vanitha; Rajesh Singh; Dimple Saini; Mohit Tiwari, “Analysis of blockchain technology based on digital management systems and data mining technology”, IEEE Xplore, 22 March 2023.
78. A, V. V. ., T, S. ., S, S. N. ., & Rajest, D. S. S. . (2022). IoT-Based Automated Oxygen Pumping System for Acute Asthma Patients. European Journal of Life Safety and Stability (2660-9630), 19 (7), 8-34.
79. Zannah, S. Rachakonda, A. M. Abubakar, S. Devkota, and E. C. Nneka, “Control for Hydrogen Recovery in Pressuring Swing Adsorption System Modeling,” FMDB Transactions on Sustainable Energy Sequence, vol. 1, no. 1, pp. 1–10, 2023.
80. Khelifi and A. Abran, "Design steps for developing software measurement standard etalons for iso 19761 (cosmic-ffp)," in WSEAS International Conference on COMPUTERS, 2007.
81. Khelifi and K. H. Hyari, "A mobile device software to improve construction sites communications" MoSIC"," International Journal of Advanced Computer Science and Applications, vol. 7, no. 11, pp. n/a, 2016.
82. Khelifi, A. Abran, and L. Buglione, "2.4 a system of reference for software measurements with ISO 19761 (COSMIC FFP)," in COSMIC Function Points: Theory and Advanced Practices, vol. 142, 2016.
83. Khelifi, M. Aburrous, M. A. Talib, and P. V. S. Shastry, "Enhancing protection techniques of e-banking security services using open source cryptographic algorithms," in 2013 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, pp. 89-95, 2013.
84. Khelifi, Y. Grisi, D. Soufi, D. Mohanad, and P. V. S. Shastry, "M-Vote: a reliable and highly secure mobile voting system," in 2013 Palestinian International Conference on information and communication technology, pp. 90-98, 2013.
85. R. Yeruva and V. B. Ramu, “Optimising AIOps system performance for e-commerce and online retail businesses with the ACF model,” Int. J. Intellect. Prop. Manag., vol. 1, no. 1, p. 1, 2022.
86. Thakur and S. K. Mishra, “Review on vision-based control using artificial intelligence in autonomous ground vehicle,” in Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences, Singapore: Springer Nature Singapore, 2023, pp. 617–626.
87. Alshadidi, A. A. F., Alshahrani, A. A., Aldosari, L. I. N., Chaturvedi, S., Saini, R. S., Hassan, S. A. B., Cicciù, M., & Minervini, G. (2023). Investigation on the Application of Artificial Intelligence in Prosthodontics. Applied Sciences, 13(8), 5004.
88. Amit Kumar Jain, “Hybrid Cloud Computing: A Perspective,” International Journal of Engineering Research & Technology, vol. 11, no. 10, p. 1, 2022.
89. Amit Kumar Jain, “Multi-Cloud Computing & Why do we need to Embrace it,” International Journal Of Engineering Research & Technology, vol. 11, no. 09, p. 1, 2022.
90. Amit Kumar Jain, “Overview of Serverless Architecture,” International Journal of Engineering Research & Technology, vol. 11, no. 09, p. 3, 2022.
91. Arun Prasad, Shaikh Abdul Hannan, Kavita Panjwani, Muthe Ramu, Kawaender Singh Sidhu, Nagabhusanam Tida, “Detailed Investigation of the role of Artificial Intelligence in stock market predictions, British Journal of Administrative Management, Vol 58, Issue 06, 6th Sept 2022, UK.
92. Aryal, A., Stricklin, I., Behzadirad, M., Branch, D. W., Siddiqui, A., & Busani, T. (2022). High-Quality Dry Etching of LiNbO3 Assisted by Proton Substitution through H2-Plasma Surface Treatment. Nanomaterials, 12(16), 2836.
93. Adgaonkar, D. R. Patil, and B. S. Borkar, ‘Availability-Aware Multi-Objective Cluster Allocation Optimization in Energy-Efficient Datacenters’, in 2022 2nd Asian Conference on Innovation in Technology (ASIANCON), 2022, pp. 1–6.
94. S. Borkar, D. R. Patil, A. V. Markad, and M. Sharma, ‘Real or Fake Identity Deception of Social Media Accounts using Recurrent Neural Network’, in 2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP), 2022, pp. 80–84.
95. Cristian Laverde Albarracín, Srinath Venkatesan, Arnaldo Yana Torres, Patricio Yánez-Moretta, Juan Carlos Juarez Vargas, “Exploration on Cloud Computing Techniques and Its Energy Concern”, MSEA, vol. 72, no. 1, pp. 749–758, Feb. 2023.
96. R. Patil and M. Sharma, ‘Dynamic Resource Allocation and Memory Management Using Machine Learning for Cloud Environments’, International Journal of Advanced Trends in Computer Science and Engineering, vol. 9, no. 04, pp. 5921–5927, 2020.
97. R. Patil and R. Purohit, ‘Dynamic Resource Allocation and Memory Management using Deep Convolutional Neural Network’, IJEAT, vol. 9, no. 02, pp. 608–612, 2019.
98. D. R. Patil, B. Borkar, A. Markad, S. Kadlag, M. Kumbhkar, and A. Jamal, ‘Delay Tolerant and Energy Reduced Task Allocation in Internet of Things with Cloud Systems’, in 2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC), 2022, pp. 1579–1583.
99. D. R. Patil, B. S. Borkar, A. V. Markad, and H. P. Singh, ‘Applications of Artificial Intelligence using Baye’s Theorem: Survey’, Universal Review, vol. 8, no. 02, pp. 198–203, 2019.
100. D. R. Patil, G. Mukesh, S. Manish, and B. Malay, ‘Memory and Resource Management for Mobile Platform in High Performance Computation Using Deep Learning’, ICIC Express Letters:Part B: Applications, vol. 13, no. 9, pp. 991–1000, 2022.
101. D. Saxena, S. Khandare and S. Chaudhary, “An Overview of ChatGPT: Impact on Academic Learning,” FMDB Transactions on Sustainable Techno Learning., vol. 1, no. 1, pp. 11–20, 2023.
102. Dubey, A., Mujoo, Shaikh Abdul Hannan., Satpathy, G., Arshad, M. W., & Manikandan, E., “Cancer detection using RNA sequencing and deep learning”, International Journal of Health Sciences, Special Issue VIII, 27 Sept. 2022, PP 4925-4939.
103. Vashishtha and G. Dhawan, “Comparison of Baldrige Criteria of Strategy Planning and Harrison Text,” FMDB Transactions on Sustainable Management Letters., vol. 1, no. 1, pp. 22-31, 2023.
104. E. Vashishtha, Effects of Maternal Smoking on Fetus and Child Development: a literature review, International Research Journal of Natural and Applied Sciences, Volume 6, Issue 1, Pages 92-107, 2019.
105. E. Vashishtha, L. Sherman, Socioeconomic Status and Childhood Obesity, International Journal of Physical and Social Sciences, Volume 8, Issue 11, Pages, 184-194, 2018.
106. E. Vashishtha, L. Sherman, T. Sajjad, N. Mehmood, Use of anti-viral therapy in treatment of Covid 19, Journal of Advanced Medical and Dental Sciences Research, Volume 8, Issue 11, Pages 273-276, 2020.
107. E. Vashishtha, Reducing Patient wait time in outpatient settings: A lean six sigma approach, International Journal of Research in Medical and Basic Sciences, Volume 6, Issue 1, Pages 15-35, 2020.
108. Giovanny Haro-Sosa , Srinath Venkatesan, “Personified Health Care Transitions With Automated Doctor Appointment System: Logistics”, Journal of Pharmaceutical Negative Results, pp. 2832–2839, Feb. 2023
109. Haq, M. A., & Baral, P. (2019). Study of permafrost distribution in Sikkim Himalayas using Sentinel-2 satellite images and logistic regression modelling. Geomorphology, 333, 123–136.
110. Haq, M. A., Ahmed, A., Khan, I., Gyani, J., Mohamed, A., Attia, E.-A., Mangan, P., & Pandi, D. (2022). Analysis of environmental factors using AI and ML methods. Scientific Reports, 12(1), 13267.
111. Haq, M. A., Alshehri, M., Rahaman, G., Ghosh, A., Baral, P., & Shekhar, C. (2021). Snow and glacial feature identification using Hyperion dataset and machine learning algorithms. Arabian Journal of Geosciences, 14(15).
112. Haq, M. A., Ghosh, A., Rahaman, G., & Baral, P. (2019). Artificial neural network-based modeling of snow properties using field data and hyperspectral imagery. Natural Resource Modeling, 32(4).
113. Heena Vig, Shaikh Abdul Hannan, Asok Kumar, Rajshree Singh, Juhi Juwairiyaah, Neen Kuriakose, “Gender and Age Classification Enabled Blockchain Security Mechanism for assisting Mobile Application, IEEE Xplore, 22nd March 2023, ISBN: 979-8-3503-9827-4.
114. Jerusha Angelene Christabel G, Shynu T, S. Suman Rajest, R. Regin, & Steffi. R. (2022). The use of Internet of Things (Iot) Technology in the Context of “Smart Gardens” is Becoming Increasingly Popular. International Journal of Biological Engineering and Agriculture, 1(2), 1–13.
115. K. Srinivas, P. R. Velmurugan, and N. Andiyappillai, “Digital Human Resources and Management Support Improve Human Resources Effectiveness,” FMDB Transactions on Sustainable Management Letters., vol. 1, no. 1, pp. 32-45, 2023.
116. K. Venkitaraman and V. S. R. Kosuru, “Hybrid Deep Learning Mechanism for Charging Control and Management of Electric Vehicles”, EJECE, vol. 7, no. 1, pp. 38–46, Jan. 2023.
117. K.S. Nisar, A. Aqeel, M. Inc, M. Farman, H. Rezazadeh, L. Akinyemi, M.M. Mannan, “Analysis of dengue transmission using fractional order scheme”, Aims Math, vol. 7 no. 5, pp. 8408–8429, May 2022.
118. Kaur, K., Suneja, B., Jodhka, S., Saini, R. S., Chaturvedi, S., Bavabeedu, S. S., Alhamoudi, F. H., Cicciù, M., & Minervini, G. (2023). Comparison between Restorative Materials for Pulpotomised Deciduous Molars: A Randomized Clinical Study. Children, 10(2), 284.
119. Kumar A, Saini RS, Sharma V , Rai R U , Gupta P, Sabharwal P ( 2021) , Assessment of Pattern of Oral Prosthetic Treatment and Prevalence of Oral Diseases in Edentulous Patients in North Indian Population: A Cross-sectional Study. J Pharm Bioallied Sci. 2021 Jun; 13(Suppl 1): S187–S189.
120. M. A. Talib, A. Khelifi, A. Abran, and O. Ormandjieva, "Techniques for quantitative analysis of software quality throughout the sdlc: The swebok guide coverage," in 2010 Eighth ACIS International Conference on Software Engineering Research, Management and Applications, pp. 321-328, 2010.
121. M. A. Talib, A. Khelifi, and L. Jololian, "Secure software engineering: A new teaching perspective based on the SWEBOK," in Interdisciplinary Journal of Information, Knowledge, and Management, vol. 5, pp. 83-99, 2010.
122. M. A. Talib, A. Khelifi, and T. Ugurlu, "Using ISO 27001 in teaching information security," in IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society, pp. 3149-3153, 2012.
123. M. A. Talib, O. Ormandjieva, A. Abran, A. Khelifi, and L. Buglione, "Scenario-based Black Box Testing in COSMIC-FFP: a case study," in Software Quality Professional, vol. 8, no. 3, pp. 22, 2006.
124. M. A. Veronin, R. P. Schumaker, and R. Dixit, ‘The irony of MedWatch and the FAERS database: an assessment of data input errors and potential consequences’, Journal of Pharmacy Technology, vol. 36, no. 4, pp. 164–167, 2020.
125. M. A. Veronin, R. P. Schumaker, R. Dixit, and M. Ogwo, ‘Irony of the FAERS Database: An Analysis of Data Input Errors and Potential Consequences’, in IIMA/ICITED Joint Conference, 2018, pp. 101–116.
126. M. A. Veronin, R. P. Schumaker, R. R. Dixit, and H. Elath, ‘Opioids and frequency counts in the US Food and Drug Administration Adverse Event Reporting System (FAERS) database: A quantitative view of the epidemic’, Drug, Healthcare and Patient Safety, pp. 65–70, 2019.
127. M. A. Veronin, R. P. Schumaker, R. R. Dixit, and H. Elath, ‘Opioids and Frequency Counts in the US Food and Drug Administration Adverse Event Reporting System (FAERS) Database’, Current Aspects in Pharmaceutical Research and Development Vol. 8, pp. 35–43, 2022.
128. M. A. Veronin, R. P. Schumaker, R. R. Dixit, P. Dhake, and M. Ogwo, ‘A systematic approach to’cleaning’of drug name records data in the FAERS database: a case report’, International Journal of Big Data Management, vol. 1, no. 2, pp. 105–118, 2020.
129. M. Aburrous and A. Khelifi, "Phishing detection plug-in toolbar using intelligent Fuzzy-classification mining techniques," in The international conference on soft computing and software engineering [SCSE’13], San Francisco State University, San Francisco, California, USA, 2013.
130. M. Farman, A. Akgül, M.T. Tekin, M. M. Akram, A. Aqeel , E. E. Mahmoud, I. S. Yahia, “Fractal fractional-order derivative for HIV/AIDS model with Mittag-Leffler kernel”, Alex. Eng. J, vol. 61, no. 12,pp. 10965-10980, April 2022.
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Published
2023-06-02
How to Cite
Steffi. R, S. Suman Rajest, R. Regin, Shynu T, & S. Silvia Priscila. (2023). Analysis of an Interview Based on Emotion Detection Using Convolutional Neural Networks. Central Asian Journal of Theoretical and Applied Science, 4(6), 78-102. Retrieved from https://cajotas.centralasianstudies.org/index.php/CAJOTAS/article/view/1209
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Articles
