Career Progression as a Mediating Variables in a Context of the Development of Critical Thinking, Opportunities, and Workplace on Performance Management Using Machine Learning Approach
Keywords:
Information and Communication Technology, ICT Knowledge, Transfer ICT Application, employee engagement, factor analysis, multiple linear regression
Abstract
Perhaps one staff's responsibility is to prepare the institution's overall output to succeed and achieve its potential goals in a volatile market climate. The first step is to improve employee performance within the company; as we all recognize, employees are the most important capital to ensure high viability. This study aimed to increase employee engagement in Province. The business's results in 2019 that was not maximized will be used as a backdrop in this review. Employees with effective communication skills can finish the job correctly because work engagement can increase with motivation and a healthy working atmosphere. With job satisfaction as a mediating factor, this study aims to assess and evaluate the impact of social skills, rewards, and work climate on employee performance at P.T. State in Country. This study is an explanation study. The participants in this study are all full-time workers. Finally, we will examine the findings and explore alternative solutions enhancements to our model. The findings revealed that communication skills have the greatest effect on employee success, while the workplace environment has the least impact. Benefits that have the greatest impact on job satisfaction and communication skills have the least impact. Job satisfaction has been shown to have an important and beneficial effect on employee performance regarding communication skills, rewards, and work climate.
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References
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29. A. K. Maji and R. K. Pal, “Sudoku solver using mini grid based back-tracking,” in 2014 IEEE International Advance Computing Conference(IACC). IEEE, 2014, pp. 36–44.
30. A. K. Maji, R. K. Pal, and S. Roy, “A novel steganographic scheme using sudoku,” in2013 International Conference on Electrical Information and Communication Technology (EICT). IEEE, 2014, pp. 1–6.
31. S. Jana, A. K. Maji, and R. K. Pal, “A novel sudoku solving technique using column based permutation,” in2015 International Symposium on Advanced Computing and Communication (ISACC). IEEE, 2015, pp.71–77.
32. S. M. Hassan and A. K. Maji, “A hybridized auto-encoder and convolution neural network-based model for plant identification,” In International Conference on Innovative Computing and Communications. Springer, 2021, pp. 1027–1036.
33. D. Shrivastava, S. Sanyal, A. K. Maji, and D. Kandar, “Bone cancer detection using machine learning techniques,” In Smart Healthcare for Disease Diagnosis and Prevention. Elsevier, 2020, pp. 175–183.
34. R. K. Das, A. K. Maji, and G. Saha, “Prospect of improving internet of things by incorporating software-defined network,” in Advances in communication, devices and networking. Springer, 2019, pp. 537–544.
35. I. Wahlang, P. Sharma, S. M. Nasreen, A. K. Maji, and G. Saha, “A comparative study on segmentation techniques for brain tumor mri,” in Information and communication technology for competitive strategies. Springer, 2019, pp. 665–673.
36. A. K. Maji and R. K. Pal, “A novel biometric template encryption scheme using sudoku puzzle,” in Applied Computation and Security Systems. Springer, 2015, pp. 109–128.
37. P. Sharma, I. Wahlang, S. Sanyal, and A. K. Maji, “Classification of brain mri using deep learning techniques,” in Soft Computing: Theories and Applications, M. Pant, T. K. Sharma, O. P. Verma, R. Singla, and A. Sikander, Eds. Singapore: Springer Singapore, 2020, pp. 559–569.
38. R. K. Das, A. K. Maji, and G. Saha, “Sd-6ln: improved existing iot framework by incorporating sdn approach,” in International Conference on Innovative Computing and Communications. Springer, 2021, pp.599–606.
39. B. Rymbai, D. Kandar, and A. K. Maji, “A hybrid face recognition scheme using contour and gabor wavelet,” in Proceedings of International Conference on ICT for Sustainable Development. Springer, 2016, pp. 377–385.
40. I. Wahlang, G. Saha, and A. K. Maji, “A comparative analysis on denoising techniques in brain mri and cardiac echo,” in Proceedings of the International Conference on Computing and Communication Systems: I3CS 2020, NEHU, Shillong, India, vol. 170. Springer, 2021, p. 381.
41. R. K. Das, F. H. Pohrmen, A. K. Maji, and G. Saha, “Fosdn: A software-defined edge computation for resource constraint network,” in Proceedings of the International Conference on Computing and Communication Systems: I3CS 2020, NEHU, Shillong, India, vol. 170.Springer, 2021, p. 463.
42. S. Warjri, P. Pakray, S. Lyngdoh, and A. K. Maji, “Adopting conditional random field (crf) for khasi part-of-speech tagging (kpost),” in Proceedings of the International Conference on Computing and Communication Systems. Springer, 2021, pp. 75–84.
43. S. K. Chakarvarti, V. Kumar and S. Kumar, “Galvanic-fabrication of CdS microstructures using nuclear track filter membranes”, Journal of materials science, vol. 40 , no.2, p. 503, 2005.
44. V. Kumar, S. Kumar and S. K. Chakarvarti, “Morphology and time resolved photoluminescence of electrochemically synthesized zinc oxide nanowires”, Journal of Materials Science: Materials in Electronics, vol. 21, no. 12, p. 1277, 2010.
45. S. Kumar, V. Kumar , M. L. Sharma and S. K. Chakarvarti, “Electrochemical synthesis of metallic micro-rose having petals in nanometer dimensions”, Superlattices and Microstructures, vol. 43, no.4, p. 324, 2008.
46. S. Kumar, V. Kumar, S. K. Sharma, and S. K. Chakarvarti, “Large scale synthesis of cadmium selenide nanowires using template synthesis technique and their characterization”, Superlattices and Microstructures, vol.48, no.1, p. 66, 2010.
47. H. Singh, V. Kumar, H. C. Jeon, T. W. Kang and S Kumar, “Structural, optical and electrical properties of Ni doped ZnO nanostructures synthesized by solution combustion method”, Journal of Materials Science: Materials in Electronics, vol. 29, no.2, p. 1327, 2018.
48. S. S. Bhogal, V. Kumar, S. S. Dhami and B. S. Pabla, “Preparation and properties of electrodeposited Ni-TiO2 composite coating”, Journal of Electrochemical Science and Engineering, vol. 5, no.1, p. 37, 2015.
49. V. Kumar, S. Kumar, S. Kumar and S. K. Chakarvarti, “Optical studies of electrochemically synthesized CdS nanowires”, Journal of Materials Science: Materials in Electronics, vol. 22, no. 4, p. 335, 2011.
50. R. Garg, V. Kumar, D. Kumar and S. K. Chakarvarti, “Electrical transport through micro porous track etch membranes of same porosity”, Modern Physics Letters B, vol. 26, no.31, p. 1250209, 2012.
51. V. Kumar and S. Kumar, “Synthesis and characterization of ZnO nanoparticles using combustion method”, AIP Conference Proceedings vol. 1393, no.1, p. 331,2011.
52. S. Kumar, S. Taneja, S. Banyal, M. Singhal, V. Kumar, S. Sahare, S. L. Lee and R K Choubey, “Bio-synthesised Silver Nanoparticle-Conjugated l-Cysteine Ceiled Mn: ZnS Quantum Dots for Eco-friendly Biosensor and Antimicrobial Applications”, Journal of Electronic Materials vol. 50 , no.7, p. 3986, 2021.
53. H. Singh and V. Kumar, “Effect of Ni doping on the photovoltaic conversion efficiency of ZnO nanostructured dye sensitized solar cells”, International Journal of Scientific Research in Physics and Applied Sciences, vol. 6, no.3, p. 50, 2018.
54. V. Kumar, S. Arora, S. Kumar, T. W. Kang and H. C. Jeon, “Annealing led conversion from polypyrrole to carbon nitride nanowires and the fabrication of highly efficient ammonia sensing device”, Journal of Materials Science: Materials in Electronics, vol. 28, no.23, p. 17791, 2017.
55. S. Neha and V. Kumar, “Microstrip Patch Antenna with cross-slot for UHF RFID Handheld Reader Applications”, International Journal of Electrical & Electronics Engineering, vol. 1, no.4, p. 30, 2014.
56. V. Kumar, R. Singh and S. K. Chakarvarti, “Novel electroless template based synthesis of silver microtubules and their characterization”, Digest Journal of Nanomaterials and Biostructures, vol. 2, no. 1, p. 163, 2007.
57. S. Tomar, S. Gupta, S. Mukherjee, A. Singh, S. Kumar, V. Kumar and R. K. Choubey, “Optical properties of Silica capped Mn doped ZnS quantum dots”, Physica Scripta, vol. 96, no. 6, p. 065802, 2021.
58. V. Kumar, D. Raj, S. K. Chakarvarti, R. K. Choubey and S. Kumar, “Solvothermal growth of ultrathin nonporous nickel oxide nanosheets for ethanol sensing”, Journal of Materials Science: Materials in Electronics, vol. 32, no.1, p. 818, 2021.
59. V. Kumar, H. Singh and S. Kumar, “Synthesis and characterization of ZnO nanostructured film for optoelectronic applications”, AIP Conference Proceedings vol. 1661, no.1, p. 080010, 2015.
60. K. Kumari, V. Kumar and K. Singh, “Non-lithographic fabrication of Ni-Se heterojunction nanowires and their electrical characterization”, Advances in Research, vol. 2, no.6, pp. 332, 2014
61. Roy, V., Shukla, P. K., Gupta, A. K., Goel, V., Shukla, P. K., & Shukla, S. (2021). Taxonomy on EEG Artifacts Removal Methods, Issues, and Healthcare Applications. Journal of Organizational and End User Computing (JOEUC), 33(1), 19-46.
62. Shukla Prashant Kumar, Sandhu Jasminder Kaur, Ahirwar Anamika, Ghai Deepika, Maheshwary Priti, Shukla Piyush Kumar (2021). Multiobjective Genetic Algorithm and Convolutional Neural Network Based COVID-19 Identification in Chest X-Ray Images, Mathematical Problems in Engineering, vol. 2021, Article ID 7804540, 9 pages.
63. Rathore, N.K., Jain, N.K., Shukla, P.K. et al (2021). Image Forgery Detection Using Singular Value Decomposition with Some Attacks. Natl. Acad. Sci. Lett. 44, 331–338.
64. Stalin Shalini, Roy Vandana, Shukla Prashant Kumar, Zaguia Atef, Khan Mohammad Monirujjaman, Shukla Piyush Kumar, Jain Anurag (2021). A Machine Learning-Based Big EEG Data Artifact Detection and Wavelet-Based Removal: An Empirical Approach, Mathematical Problems in Engineering, vol. 2021, Article ID 2942808, 11 pages.
65. Piyush Kumar Shukla, Vandana Roy, Prashant Kumar Shukla, Anoop Kumar Chaturvedi, Aumreesh Kumar Saxena, Manish Maheshwari, Parashu Ram Pal, An Advanced EEG Motion Artifacts Eradication Algorithm, The Computer Journal, 2021;, bxab170, https://doi.org/10.1093/comjnl/bxab170
66. Pandit Shraddha, Shukla Piyush Kumar, Tiwari Akhilesh, Shukla Prashant Kumar, Maheshwari Manish, Dubey Rachana (2020). Review of video compression techniques based on fractal transform function and swarm intelligence. International Journal of Modern Physics B, Vol. 34, No. 08, 2050061 (2020),
67. Joshi Shubham, Stalin Shalini,Shukla Prashant Kumar, Shukla Piyush Kumar, Bhatt Ruby, Bhadoria Rajan Singh, Tiwari Basant (2021). Unified Authentication and Access Control for Future Mobile Communication-Based Lightweight IoT Systems Using Blockchain. Wireless Communications and Mobile Computing, vol. 2021, Article ID 8621230, 12.
68. Sathya M., Jeyaselvi M., Krishnasamy Lalitha, Hazzazi Mohammad Mazyad, Shukla Prashant Kumar, Shukla Piyush Kumar, Nuagah Stephen Jeswinde (2021). A Novel, Efficient, and Secure Anomaly Detection Technique Using DWU-ODBN for IoT-Enabled Multimedia Communication Systems. Wireless Communications and Mobile Computing, vol. 2021, Article ID 4989410, 12.
69. Shukla Prashant Kumar, Shukla Piyush Kumar, Bhatele Mukta, Chaturvedi Anoop Kumar, Sharma Poonam, Rizvi Murtaza Abbas, Pathak Yadunath (2021). A Novel Machine Learning Model to Predict the Staying Time of International Migrants. International Journal on Artificial Intelligence Tools, Vol. 30, No. 02, 2150002 (2021).
70. Janarthanan Ramadoss, Maheshwari Uma, Shukla Prashant Kumar, Shukla Piyush Kumar, Mirjalili Seyedali, Kumar Manoj (2021). Intelligent Detection of the PV Faults Based on Artificial Neural Network and Type 2 Fuzzy Systems. Energies 2021, 14(20), 6584,
71. Khambra Geetanjli, Shukla Prashant (2021). Novel machine learning applications on fly ash based concrete: An overview. Materials Today: Proceedings, July 2021, 2214-7853.
72. Shukla, P. K., Sharma, L., Bhatele, K. R., Sharma, P., & Shukla, P. (2015). Design, Architecture, and Security Issues in Wireless Sensor Networks. In K. Lakhtaria (Ed.), Next Generation Wireless Network Security and Privacy (pp. 211-237). IGI Global.
73. Ahirwar, D., Shukla, P. K., Bhatele, K. R., Shukla, P., & Goyal, S. (2015). Intrusion Detection and Tolerance in Next Generation Wireless Network. In K. Lakhtaria (Ed.), Next Generation Wireless Network Security and Privacy (pp. 313-335). IGI Global.
74. T. Gopalakrishnan, D Ruby, Al-Turjman, F., Gupta, D., Pustokhina, I., Pustokhin, D. and Shankar, K, “Deep Learning Enabled Data Offloading With Cyber Attack Detection Model in Mobile Edge Computing Systems”, IEEE Access, vol.8, pp.185938-185949,2020.
75. T, Gopalakrishnan. and P Sengottuvelan, “A hybrid PSO with Naïve Bayes classifier for disengagement detection in online learning”, Program, Vol 50 issue 2, pp.215-224,2016.
76. Joshi, G., Alenezi, F., Thirumoorthy, G., Dutta, A. and You, J., “Ensemble of Deep Learning-Based Multimodal Remote Sensing Image Classification Model on Unmanned Aerial Vehicle Networks” Mathematics, 9(22), p.2984., 2021.
77. Gopalakrishnan, T., Sengottuvelan, P., Bharathi, A. and Lokeshkumar, R.,” An Approach To Webpage Prediction Method Using Variable Order Markov Model In Recommendation Systems”, Journal of Internet Technology, 19(2), 415-424, 2018.
78. Gopalakrishnan, T , Sudhakaran, P., Ramya, K.C., Kumar, K.S., Al-Wesabi, F.N., Alohali, M.A. and Hilal, A.M., “An Automated Deep Learning Based Muscular Dystrophy Detection and Classification Model”, Computers, Materials &; Continua, 71(1), pp.305-320, 2022.
79. Gopalakrishnan, T., Sengottuvelan, P. and Bharathi, A.,”Dimensionality Reduction for Hybrid Medical Information Opinion Mining”, Intelligent Automation & Soft Computing, 23(2), pp.331-336, 2016.
80. Shankar, K., Mohanty, S., Yadav, K., Gopalakrishnan, T. and Elmisery, A.,”Automated COVID-19 diagnosis and classification using convolutional neural network with fusion based feature extraction model”, Cognitive Neurodynamics 2021.
81. Gopalakrishnan, T., Sengottuvelan, P., Bharathi, A. and Lokeshkumar, R., “Heterogeneous Link Prediction Technique in Personalized E-Learning System using SVM”, Asian Journal of Research in Social Sciences and Humanities, 6(11), p.760, 2016.
82. T., G., Choudhary, R. and Prasad, S., “Prediction of Sales Value in Online shopping using Linear Regression”, 4th International Conference on Computing Communication and Automation (ICCCA), 2018.
83. Periyasami, K., Venugopal, J., Thirumoorthy, G., Ramasamy, R. and Balakrishnan, N. “BlockChain Based Combinatorial Grouping Auction with Reserve Price Mechanism in Cloud Computing”, Recent Advances in Computer Science and Communications, 14(5), pp.1497-1505, 2021.
84. Gopalakrishnan, T.., Sengottvelan, P., “Discovering user profiles for web personalization using EM with Bayesian Classification”, Aust J Basic Appl Sci, 8(3), pp.53-60, 2014.
85. Gopalakrishnan, T, Gowthami, V S & Kavya, M, ”Advanced Preprocessing Techniques used in Web Mining - A Study”, International Journal of Computer Applications ,ISSN 0975 – 8887, vol. 101, no. 13, 2014.
86. Gopalakrishnan T, Ruby D, Gayathri A, Saai Mahesh & Ritesh Choudhary, “An Approach to Deep Learning for Cryptocurrency Price Prediction”, International Journal of Advanced Trends in Computer Science and Engineering, Vol 9, Issue No.4, ISSN 2278-3091, 5095-5102, 2021.
87. Sarkar, S., Menon, A.S., Gopalakrishnan, T., Kakelli, A.K.,”Convolutional Neural Network (CNN-SA) based Selective Amplification Model to Enhance Image Quality for Efficient Fire Detection”, I.J. Image, Graphics and Signal Processing, 2021, 5, 51-59, 2021.
88. Gopalakrishnan, T, Sengottuvelan, P & Bharathi, A.,”Two Level Clustering of Web Log Files to Enhance the Quality of User Data”, International Journal of Advanced Engineering Technology, E-ISSN: 0976-3945, vol. VII, no. II, 2016.
89. T Gopalakrishnan et. Al , “An Intelligent Internet of Medical Things with Deep Learning based Automated Breast Cancer Detection and Classification Model” , Springer - Book series Studies in Systems, Decision and Control, Vol.311- Cognitive Internet Of Medical Things For Smart Healthcare , Chapter No:11,2020.
90. Ritesh Choudhary, T Gopalakrishnan, “An Efficient Model for Predicting Liver Disease Using Machine Learning”, Data Analytics in Bioinformatics: A Machine Learning Perspective, Chapter No.18, Wiley Scrivener Publishing LLC , pp. 443–458, 2021.
91. Maninder Singh, Hardeep Singh Saini and Dinesh Arora, “Bit error rate minimization in OFDM-MIMO system”,2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), held on 5-7 March 2015,Coimbatore, Tamil Nadhu-India. IEEE.
92. Gagandeep, Dinesh Arora and Hardeep Singh Saini, “Design and Implementation of an Automatic Irrigation feedback control system based on monitoring of soil moisture”, IEEE International Conference on Inventive Computing and Informatics (ICICI 2017), 23-24 Nov. 2017, Coimbatore, India.
93. Hardeep Singh Saini and Dinesh Arora, “A Split Network based Routing Approach in Wireless Sensor Network to Enhance Network Stability”, International Journal of Sensors, Wireless Communications and Control, Vol.9, No.4, pp.480-87, 2019. Bentham Science Publisher.
94. Ritu, Hardeep Singh Saini, Dinesh Arora and Rajesh Kumar, “Implementation of Handoff System to Improve the Performance of a Network by Using Type-2 Fuzzy Inference System”, 4th International conference on recent advancements in computer communication and computational sciences, Aryabhatta College of Engineering & Research Center, Ajmer, India, 16-17 Aug. 2019. Published in the Springer Book Series on "Advances in Intelligent Systems and Computing", Springer.
95. Dinesh Arora, Hardeep Singh Saini and Vinay Bhatia, “Enhanced Spectrum Slicing-- Wavelength Division Multiplexing approach for Mitigating Atmospheric Attenuation in Optical Communication”, Optical and Quantum Electronics, ISSN: 1572-817X, 54, 258, 2022.
96. Dinesh Arora, Hardeep Singh Saini and Vishal Masih, “Improved Lifetime Hierarchical Routing Protocol for Wireless Sensor Networks”, Solid State Technology, Vol.63, No.2s, 2020.
97. Varun Marwaha, Hardeep Singh Saini and Dinesh Arora, “A J-shaped Element Planar Inverted-F MIMO Antenna for 4G/5G Communication”, International Journal of Emerging Trends in Engineering Research, WARSE Publication, 8(2), 602-605, 2020.
98. Ritu, Hardeep Singh Saini and Dinesh Arora, “Handover Decision to Improve the Performance of the Communication System”, Int. J. Sc. Res. In Network Security and Communication (IJSNRSC), 7 (6), 11-15, 2019.
99. Hardeep Singh Saini, Dinesh Arora and Manisha Verma, “An effective audio watermarking approach with high data embedding”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), Vol.8, No.4S2, pp. 185-190, 2019.
100. Hardeep Singh, Jai Parkash, Dinesh Arora and Amit Wason, “Wavelength assignment Algorithms in OBS Networks”, OPTIK: International Journal for Light and Electron Optics, ISSN: 0030-4026, Paper ID-11-626, Vol.123, No. 20, 2012.
101. Jitender Sharma, Hardeep Singh and Dinesh Arora, “Analysis of Reno: A TCP Variant”, International Journal of Electronic and Communication Engineering (IJECE), International Research Publication House, ISSN: 0974-2166, 5(3), pp.267-277, 2012.
102. Varun Marwaha, Hardeep Singh Saini and Dinesh Arora, “An Edge FED Planar Inverted-F Antenna with J Shaped Element for 4G LTE/5G Devices”, International Journal of Electrical Engineering & Technology, 11(2), pp. 173- 177, 2020.
103. Alabdullah, T. T. Y., Ahmed, E. R., & Nor, M. I. (2019). Do board characteristics provide more enhancement for firm financial performance? A corporate governance perspective. New challenges in corporate governance: Theory and practice (pp. 89-91). https://doi.org/10.22495/ncpr_25.
104. Abushammala, S. N., Alabdullah, T. T. Y., & Ahmed, E. R. (2015). Causal Relationship between Market Growth and Economic Growth. Comparison Study. European Journal of Business and Management 7(33).
105. Alabdullah, T. T. Y. (2017). Compensation committee, company board attributes, and company performance: The moderating effect of leadership position. Paper presented at the 2017 Wei International Academic Conference Proceedings, July 24-27, 2017, Business and Economics.
106. Ahmed, E. R., Alabdullah, T. T. Y &Shaharudin, M. S. (2020). Approaches to Control Mechanisms and Their Implications for Companies’ Profitability: a Study in UAE. Journal of accounting Science, Vol. 4, no. 2, pp. 11-20.
107. Alabdullah, T. T. Y., Ahmed, E. R., & Ahmed, R. R. (2021). Organization features and profitability: Implications for a sample of Emerging Countries. Journal of Accounting and Business Education, 5(2), 43-52.DOI: http://dx.doi.org/10.26675/jabe.v5i2.16351.
108. Nor, M. I., Masron, T. A., &Alabdullah, T. T. Y. (2020). Macroeconomic fundamentals and the exchange rate volatility: empirical evidence from Somalia. SAGE Open, 10(1), 2158244019898841.
109. Alabdullah, T. T. Y. (2016d). Agency Theory Perspective: A Quantitative Study Of Accounting Performance Measures In Emerging Economies. ICTE Proceedings, New York.
110. Alabdullah, T. T. Y. (2021). Management accounting insight via a new perspective on the risk management - companies’ profitability relationship. International Journal of Intelligent Enterprise 7, In press.
111. Ahmed, E. R., Alabdullah, T. T. Y., Ardhani, L., &Putri, E. (2021). The Inventory Control System’s Weaknesses Based on the Accounting Postgraduate Students’ Perspectives. Journal of Accounting and Business Education, 5(2), 1-8.DOI: http://dx.doi.org/10.26675/jabe.v5i2.19312.
112. Alabdullah, T. T. Y. (2021). Ownership Structure and the Failure or Success of Firm Performance: Evidence from Emerging Market; Cross-sectional Analysis. International Journal of Business and Management Invention, Volume 10, Issue 8 Ser. I, PP 17-20.
113. S. Venkatasubramanian, D. A. Suhasini, and D. C.Vennila, “An Energy Efficient Clustering Algorithm in Mobile Adhoc Network Using Ticket Id Based Clustering Manager,” International Journal of Computer Science and Network Security, vol. 21, no. 7, pp. 341–349, Jul. 2021.
114. Venkatasubramanian, S., Suhasini, A. and Vennila, C., “An Efficient Route Optimization Using Ticket-ID Based Routing Management System (T-ID BRM)”. Wireless Personal Communications, pp.1-20, 2021
115. S. Venkatasubramanian, A. Suhasini, C. Vennila, “Efficient Multipath Zone-Based Routing in MANET Using (TID-ZMGR) Ticked-ID Based Zone Manager”, International Journal of Computer Networks and Applications (IJCNA), 8(4), PP: 435- 443, 2021.
116. Venkatasubramanian, S.. “Optimized Gaming based Multipath Routing Protocol with QoS Support for High-Speed MANET”, International Journal of Advanced Research in Science, Communication and Technology. vol. 9, No. 1, ,pp.62-73, September , 2021.
117. Venkatasubramanian.S., “A Chaotic Salp Swarm Feature Selection Algorithm for Apple and Tomato Plant Leaf Disease Detection”, International Journal of Advanced Trends in Computer Science and Engineering, 10(5), pp.3037–3045,2021.
118. S.venkatasubramanian, “Multistage Optimized Fuzzy Based Intrusion Detection protocol for NIDS in MANET”, International Journal Of Innovative Research In Technology, Volume 8 Issue 6, November, pp.301-311, 2021.
119. S.Venkatasubramanian,K., Senthil Kumar & J, Gnana & M, Ayeesha. “IoT and AI Based Recognition and Classification of Covid 19 Persons in Public Place”, Turkish Online Journal of Qualitative Inquiry. 12. pp.7098-7110, 2021.
120. M. Raja and G. G. Lakshmi Priya, “Using virtual reality and augmented reality with ICT tools for enhancing quality in the changing academic environment in COVID-19 pandemic: An empirical study,” in Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19, Cham: Springer International Publishing, 2022, pp. 467–482.
121. M. Raja and G. G. L. Priya, “An analysis of Virtual Reality usage through a descriptive research analysis on school students’ experiences: A study from India,” Int. j. early child. spec. educ., vol. 13, no. 2, pp. 990–1005, 2021.
122. M. Raja, K. Srinivasan, and S. Syed-Abdul, “Preoperative virtual reality based intelligent approach for minimizing patient anxiety levels,” in 2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), 2019.
123. M. Raja and G. G. Lakshmi Priya, “Sentiment and emotions extraction on teaching–learning from home (TLFH) and impact of online academic activities in India,” Mater. Today, 2021.
124. M. Raja and G. G. L. Priya, “Conceptual origins, technological advancements, and impacts of using Virtual Reality technology in education,” Webology, vol. 18, no. 2, pp. 116–134, 2021.
125. E. Murugan, D.P.G. Rani and V. Yogaraj, “Drug delivery investigations of quaternised poly (propylene imine) dendrimerusing nimesulide as a model drug Colloids and Surfaces B: Biointerfaces,” vol. 114, p. 121, 2014.
126. A. Siva and E. Murugan, “Synthesis and characterization of novel multi-site phase transfer catalyst andits catalytic efficiency for dichlorocarbene addition to citral,” Journal of Molecular Catalysis A: Chemical, vol. 241, no.1-2, p.101, 2005.
127. E. Murugan and P. Gopinath, Synthesis and characterization of novel bead-shaped insoluble polymer-supported tri-site phase transfer catalyst and its efficiency in N-alkylation of pyrrole, Applied Catalysis A: General, vol. 319, p. 72, 2007.
128. E. Murugan, D. P. Geetha Rani, K. Srinivasan, and J. Muthumary, “New surface hydroxylated and internally quaternised poly (propylene imine)dendrimers as efficient biocompatible drug carriers of norfloxacin,” Expert Opinion on Drug Delivery, vol. 10 no.10, p. 1319, 2013.
129. E. Murugan, P. Gopinath, V. Shanmugayya, and N. Mathivanan, “Antibacterial activity of novel insoluble bead‐shaped polymer‐supportedmultiquaternary ammonium salts,” Journal of applied polymer science, vol. 117, no.6, p. 3673, 2010.
130. E. Murugan, and A. Siva, “Synthesis of asymmetric n-arylaziridine derivatives using a new chiral phase-transfer catalyst,” Synthesis, vol. 2005 no.12, p. 2022, 2005.
131. T. Balakrishnan and E. Murugan, “Preparation and spectroscopic characterization of surface‐enriched (with active sites) polymer‐supported phase‐transfer catalysts and their efficiency in organic addition reactions: A kinetic study,” Journal of Polymer Science Part A: Polymer Chemistry, vol. 41, no.2, p. 347, 2003.
132. E. Murugan, and A. Siva, “Preparation of a novel soluble multi-site phase transfer catalyst and the kineticstudy for the C-alkylation of α-pinene,” Journal of Molecular Catalysis A: Chemical, vol. 235, no. 1-2, p. 220, 2005.
133. S. Santhoshkumar and E. Murugan, “Rationally designed SERS AgNPs/GO/g-CN nanohybrids to detect methyleneblue and Hg2+ ions in aqueous solution,” Applied Surface Science, vol. 553, p. 149544, 2021.
134. E. Murugan, S. Santhoshkumar, S. Govindaraju and M. Palanichamy, “Silver nanoparticles decorated g-C3N4: An efficient SERS substrate formonitoring catalytic reduction and selective Hg2+ ions detection,” Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, vol. 246, 119036, 2021.
135. E. Murugan, S. Santhosh Kumar, K. M. Reshna and S. Govindaraju, “Highly sensitive, stable g-CN decorated with AgNPs for SERS sensing of toluidine blue and catalytic reduction of crystal violet,” Journal of materials science, vol. 54, no.7, p. 5294, 2019.
136. E. Murugan, J. N. Jebaranjitham and A. Usha, “Synthesis of polymer-supported dendritic palladium nanoparticle catalysts forSuzuki coupling reaction,” Applied Nanoscience, vol. 2, no.3, p. 211, 2012.
137. E. Murugan, S. Arumugam and P. Panneerselvam, “New nanohybrids from poly (propylene imine) dendrimer stabilized silvernanoparticles on multiwalled carbon nanotubes for effective catalytic andantimicrobial applications,” International Journal of Polymeric Materials and Polymeric Biomaterials, vol. 65 no. 3, p. 111, 2016.
138. E. Murugan and I. Pakrudheen, “Efficient amphiphilic poly (propylene imine) dendrimer encapsulated rutheniumnanoparticles for sensing and catalysis applications,” Science of Advanced Materials, vol. 7, no. 5, p. 891, 2015.
139. E. Murugan, and G. Tamizharasu, “Synthesis and characterization of new soluble multisite phase transfercatalysts and their catalysis in free radical polymerization of methylmethacrylate aided by ultrasound-A kinetic study,” Journal of applied polymer science, vol. 125, no. 1, p. 263, 2012.
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Published
2022-05-11
How to Cite
D.K. Sharma. (2022). Career Progression as a Mediating Variables in a Context of the Development of Critical Thinking, Opportunities, and Workplace on Performance Management Using Machine Learning Approach. Central Asian Journal of Theoretical and Applied Science, 3(5), 111-129. https://doi.org/10.17605/OSF.IO/2HP8S
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Copyright (c) 2022 D.K. Sharma
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