Energy Efficient on Hybrid Self-Powered Mobile Towers Based on IoT
Abstract
Green radio is a form of mobile communication that is less harmful to the planet. Next-generation wireless network design is shifting its attention to environmentally friendly, energy-efficient systems in response to rising energy prices, concerns over carbon emissions, and the need to preserve natural resources. These days, the proliferation of cell phone towers is phenomenal. Power needs to determine where a facility gets its energy. The need for electricity is always higher in third-world countries. The daily diesel consumption of a diesel generator is approximately 1 MG, and the daily power consumption of a crucial mobile network is approximately 40-50 MW. Internal applications at the base station, including air conditioning, lighting, and control zone instruments, have also been upgraded to use more power. Towers with no customers may consume electricity unnecessarily, especially at night. The goal of our efforts is to generate power using more conventional means. In addition, contact is being made between the two towers, allowing the inactive tower to know whether to stay dormant or resume service as needed. By constantly monitoring the external environment, a base station can reduce its power usage for inside applications. By having the entire system monitored by computers, we can create a mobile infrastructure that is both cost-effective and environmentally friendly, one that helps lessen the effects of climate change by cutting greenhouse gas emissions. Assistance with establishing and maintaining contact.
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2. Y. Chen, S. Zhang, S. Xu, and G. Y. Li, “Fundamental trade-offs on green wireless networks,” IEEE Commun. Mag., vol. 49, no. 6, pp. 30–37, 2011.
3. “Green IT: The new industry shock wave,” Gartner. [Online]. Available: https://www.gartner.com/en/documents/559709. [Accessed: 28-Aug-2023].
4. C. Han et al., “Green radio: radio techniques to enable energy-efficient wireless networks,” IEEE Commun. Mag., vol. 49, no. 6, pp. 46–54, 2011.
5. P. Rost and G. Fettweis, “Green communications in cellular networks with fixed relay nodes,” in Cooperative Cellular Wireless Networks, E. Hossain, D. I. Kim, and V. K. Bhargava, Eds. Cambridge: Cambridge University Press, 2011, pp. 300–323.
6. L. Saker, S.-E. Elayoubi, and T. Chahed, “Minimizing energy consumption via sleep mode in green base station,” in 2010 IEEE Wireless Communication and Networking Conference, 2010.
7. S. S. Sandhu, A. Rawal, P. Kaur, and N. Gupta, “Major components associated with Green Networking in Information Communication Technology systems,” in 2012 International Conference on Computing, Communication and Applications, 2012.
8. K. Bhardwaj, S. Rangineni, L. Thamma Reddi, M. Suryadevara, and K. Sivagnanam, “Pipeline-Generated Continuous Integration and Deployment Method For Agile Software Development,” European Chemical Bulletin, vol. 12, no. Special Issue 7, pp. 5590–5603, 2023.
9. S. Rangineni, D. Marupaka, and A. K. Bhardwaj, “An examination of machine learning in the process of data integration,” International Journal of Computer Trends and Technology, vol. 71, no. 6, pp. 79–85, Jun. 2023.
10. T. K. Behera, D. Marupaka, L. Thamma Reddi, and P. Gouda, “Enhancing Customer Support Efficiency through Seamless Issue Management Integration: Issue Sync Integration System,” European Chemical Bulletin, vol. 12, no. 10, pp. 1157–1178.
11. S. Rangineni and D. Marupaka, “Analysis Of Data Engineering For Fraud Detection Using Machine Learning And Artificial Intelligence Technologies,” International Research Journal of Modernization in Engineering Technology and Science, vol. 5, no. 7, pp. 2137–2146, Jul. 2023.
12. L. Thamma Reddi, “Transforming Management Accounting: Analyzing The Impacts Of Integrated Sap Implementation,” International Research Journal of Modernization in Engineering Technology and Science, vol. 5, no. 8, pp. 1786–1793, Aug. 2023.
13. M. Suryadevera, S. Rangineni, and S. Venkata, “Optimizing Efficiency and Performance: Investigating Data Pipelines for Artificial Intelligence Model Development and Practical Applications,” International Journal of Science and Research, vol. 12, no. 7, pp. 1330–1340, Jul. 2023.
14. D. Marupaka, S. Rangineni, and A. K. Bhardwaj, “Data Pipeline Engineering in The Insurance Industry: A Critical Analysis Of Etl Frameworks, Integration Strategies, And Scalability,” International Journal Of Creative Research Thoughts, vol. 11, no. 6, pp. c530–c539, Jun. 2023.
15. S. Rangineni, A. K. Bhardwaj, and D. Marupaka, “An Overview and Critical Analysis of Recent Advances in Challenges Faced in Building Data Engineering Pipelines for Streaming Media,” The Review of Contemporary Scientific and Academic Studies, vol. 3, no. 6, Jun. 2023.
16. A. Bodepudi, M. Reddy, S. S. Gutlapalli, and M. Mandapuram, “Voice recognition systems in the Cloud Networks,” Asian Journal of Applied Science and Engineering, vol. 8, no. 1, pp. 51–60, 2019.
17. A. Bodepudi, M. Reddy, S. S. Gutlapalli, and M. Mandapuram, “Algorithm policy for the authentication of indirect fingerprints used in cloud computing,” American Journal of Trade and Policy, vol. 8, no. 3, pp. 231–238, 2021.
18. S. S. Gutlapalli, M. Mandapuram, M. Reddy, and A. Bodepudi, “Evaluation of Hospital Information Systems (his) in terms of their suitability for tasks,” Malaysian Journal of Medical and Biological Research, vol. 6, no. 2, pp. 143–150, 2019.
19. M. Mandapuram, “Applications of Blockchain and Distributed Ledger Technology (DLT) in Commercial Settings”, Asian Accounting and Auditing Advancement (4A Journal), vol. 7, no. 1, pp. 50–57, Dec. 2016.
20. M. Mandapuram, “Application of artificial intelligence in contemporary business: An analysis for content management system optimization,” Asian Business Review, vol. 7, no. 3, pp. 117–122, 2017a.
21. M. Mandapuram, “Security risk analysis of the internet of things,” ABC Research Alert, vol. 5, no. 3, pp. 49–55, 2017b.
22. M. Mandapuram, S. R. Thodupunori, A. Bodepudi, and M. Reddy, “Investigating the prospects of Generative Artificial Intelligence,” Asian Journal of Humanity, Art and Literature, vol. 5, no. 2, pp. 167–174, 2018.
23. M. Mandapuram, S. S. Gutlapalli, M. Reddy, and A. Bodepudi, “Application of artificial intelligence (AI) technologies to accelerate market segmentation,” Global Disclosure of Economics and Business, vol. 9, no. 2, pp. 141–150, 2020.
24. M. Mandapuram and Md. F. Hosen, “The object-oriented database management system versus the Relational Database Management System: A comparison,” Global Disclosure of Economics and Business, vol. 7, no. 2, pp. 89–96, 2018.
25. M. Reddy, A. Bodepudi, M. Mandapuram, and S. S. Gutlapalli, “Face detection and recognition techniques through the Cloud Network: An Exploratory Study,” ABC Journal of Advanced Research, vol. 9, no. 2, pp. 103–114, 2020.
26. G. P. Shukla, P. Chaudhary, P. Ghosh, M. Mandapuram, S. S. Gutlapalli, M Lourens, “Human resource management: a conceptual framework for comprehending the Internet of Things (IoT) and Machine Learning,” Official Journal of the Patent Office (IN), no. 26/2023 (30/06/2023), 2023. Patent number 202321036845 A.
27. B. Nemade and D. Shah, “An IoT based efficient Air pollution prediction system using DLMNN classifier,” Phys. Chem. Earth (2002), vol. 128, no. 103242, p. 103242, 2022.
28. B. Nemade and D. Shah, “An efficient IoT based prediction system for classification of water using novel adaptive incremental learning framework,” J. King Saud Univ. - Comput. Inf. Sci., vol. 34, no. 8, pp. 5121–5131, 2022.
29. B. Nemade, “Automatic traffic surveillance using video tracking,” Procedia Comput. Sci., vol. 79, pp. 402–409, 2016.
30. Kumar, R., Joshi, S., & Dwivedi, A. (2021). CNN-SSPSO: a hybrid and optimized CNN approach for peripheral blood cell image recognition and classification. International Journal of Pattern Recognition and Artificial Intelligence, 35(05), 2157004.
31. Joshi, S., Kumar, R., & Dwivedi, A. (2020). Hybrid DSSCS and convolutional neural network for peripheral blood cell recognition system. IET Image Processing, 14(17), 4450-4460.
32. Dwivedi, A., Rai, V., Amrita, Joshi, S., Kumar, R., & Pippal, S. K. (2022). Peripheral blood cell classification using modified local-information weighted fuzzy C-means clustering-based golden eagle optimization model. Soft Computing, 26(24), 13829-13841.
33. Amrita, Joshi, S., Kumar, R., Dwivedi, A., Rai, V., & Chauhan, S. S. (2023). Water wave optimized nonsubsampled shearlet transformation technique for multimodal medical image fusion. Concurrency and Computation: Practice and Experience, 35(7), e7591.
34. Kumar, R., Joshi, S., Rai, V., Dwivedi, A., & Jha, N. (2022, May). Identification of Pneumonia in Corona Virus Patient. In 2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) (pp. 419-423). IEEE.
35. Rai, V., Gupta, G., Joshi, S., Kumar, R., & Dwivedi, A. (2023). LSTM-based adaptive whale optimization model for classification of fused multimodality medical image. Signal, Image and Video Processing, 1-10.
36. Joshi, S., & Dwivedi, A. (2020, March). RFID SYSTEM-used for monitoring and tracking patient (MTP). In 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA) (pp. 1-10). IEEE.
37. Amrita, Joshi, S., Kumar, R., Dwivedi, A., Rai, V., & Chauhan, S. S. (2023). Water wave optimized nonsubsampled shearlet transformation technique for multimodal medical image fusion. Concurrency and Computation: Practice and Experience, 35(7), e7591.
38. Khatiwada, P., Joshi, S., Mohan, K. M., Chouhan, K., Gangodkar, D., & Khan, Z. Z. (2022, April). Design A Wireless Network Data Security System for Medical Records Using Cryptography. In 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 207-211). IEEE.
39. Joshi, S., Rai, P. K., Kumar, R., & Dwivedi, A. (2022, May). Optical Text Translator from Images using Machine Learning. In 2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) (pp. 95-100). IEEE.
40. A. R. Kunduru, "Security Concerns and Solutions for Enterprise Cloud Computing Applications," Asian Journal of Research in Computer Science, vol. 15, no. 4, pp. 24-33, 2023. doi: 10.9734/ajrcos/2023/v15i4327
41. A. R. Kunduru, "Industry Best Practices on Implementing Oracle Cloud ERP Security," International Journal of Computer Trends and Technology, vol. 71, no. 6, pp. 1-8, 2023. doi: 10.14445/22312803/IJCTT-V71I6P101
42. A. R. Kunduru, "Cloud Appian BPM (Business Process Management) Usage In health care Industry," IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 6, pp. 339-343, 2023.
43. A. R. Kunduru, "Effective Usage of Artificial Intelligence in Enterprise Resource Planning Applications," International Journal of Computer Trends and Technology, vol. 71, no. 4, pp. 73-80, 2023.
44. A. R. Kunduru, "Recommendations to Advance the Cloud Data Analytics and Chatbots by Using Machine Learning Technology," International Journal of Engineering and Scientific Research, vol. 11, no. 3, pp. 8-20, 2023.
45. Alawneh,Y.(2022). Role of Kindergarten Curriculum in Instilling Ethical Values among Children in Governorates of Northern West Bank, Palestine, Dirasat: Educational Sciences,49(3),360-375
46. Al Khawaldeh,S., Alawneh,Y., Alzboun,M.(2022)., the availability of quality standards for the construction of science achievement tests from the point of view of the examination committees, Journal of Hunan University(Natural Sciences),49(9),1233-1247.
47. Alawneh,Y., Ashamali,M., Abdel-Hassan,R., Al-khawaldeh,S., Engestroom,y.(2022) Degree Of Use Of E-Learning Science Teachers In Public High Schools In During The Corona-Covid 19 Pandemic, Journal of Positive School Psychology,6(2), 1060-1070.
48. Alawneh,Y., Al-Shara'h,N. (2022) Evaluation of the e-learning experience in Palestinian universities during the Corona pandemic "in light of some quality standards of the Jordanian Higher Education, Journal of the College of Education (Assiut),38(2.2) 181-204
49. Alawneh,Y., Abualrub,D., Jbara,L.,(2021)Behavioral Phenomena Common Among Kindergarten Students In Nablus Governorate From The Point Of View Of Principals And Teachers, Turkish Journal of Physiotherapy and Rehabilitation, 32, (3)231-247.
50. A. R. Kunduru and R. Kandepu, "Data Archival Methodology in Enterprise Resource Planning Applications (Oracle ERP, Peoplesoft)," Journal of Advances in Mathematics and Computer Science, vol. 38, no. 9, pp. 115-127, 2023. doi: 10.9734/jamcs/2023/v38i91809
51. A. R. Kunduru, "Artificial Intelligence Usage in Cloud Application Performance Improvement," Central Asian Journal of Mathematical Theory and Computer Sciences, vol. 4, no. 8, pp. 42-47, 2023.
52. A. R. Kunduru, "Artificial Intelligence Advantages in Cloud Fintech Application Security," Central Asian Journal of Mathematical Theory and Computer Sciences, vol. 4, no. 8, pp. 48-53, 2023.
53. A. R. Kunduru, "Cloud BPM Application (Appian) Robotic Process Automation Capabilities," Asian Journal of Research in Computer Science, vol. 16, no. 3, pp. 267-280, Aug. 2023.
54. A. R. Kunduru, “Machine Learning in Drug Discovery: A Comprehensive Analysis of Applications, Challenges, and Future Directions”, IJOT, vol. 5, no. 8, pp. 29-37, Aug. 2023.
55. Upadhyay, S., Kumar, M., Kumar, A., Ghafoor, K. Z., & Manoharan, S. (2022). SmHeSol (IoT-BC): smart healthcare solution for future development using speech feature extraction integration approach with IoT and blockchain. Journal of Sensors, 2022.
56. Kumar, M., Mukherjee, P., Verma, S., Kavita, Shafi, J., Wozniak, M., & Ijaz, M. F. (2023). A smart privacy preserving framework for industrial IoT using hybrid meta-heuristic algorithm. Scientific Reports, 13(1), 5372.
57. Upadhyay, S., Kumar, M., Upadhyay, A., Verma, S., Kavita, Kaur, M., ... & Castillo, P. A. (2023). Challenges and Limitation Analysis of an IoT-Dependent System for Deployment in Smart Healthcare Using Communication Standards Features. Sensors, 23(11), 5155.
58. Kumar, A., Kumar, M., Verma, S., Jhanjhi, N. Z., & Ghoniem, R. M. (2022). Vbswp-CeaH: Vigorous Buyer-Seller Watermarking Protocol without Trusted Certificate Authority for Copyright Protection in Cloud Environment through Additive Homomorphism. Symmetry, 14(11), 2441.
59. Pratap, A., Kumar, A., & Kumar, M. (2021, May). Analyzing the need of edge computing for Internet of Things (IoT). In Proceedings of Second International Conference on Computing, Communications, and Cyber-Security: IC4S 2020 (pp. 203-212). Singapore: Springer Singapore.
60. Kumar, A., Kumar, M., Mahapatra, R. P., Bhattacharya, P., Le, T. T. H., Verma, S., & Mohiuddin, K. (2023). Flamingo-Optimization-Based Deep Convolutional Neural Network for IoT-Based Arrhythmia Classification. Sensors, 23(9), 4353.
61. Kumar, M., Mukherjee, P., Verma, S., Kaur, M., Singh, S., Kobielnik, M., ... & Ijaz, M. F. (2022). BBNSF: Blockchain-Based Novel Secure Framework Using RP2-RSA and ASR-ANN Technique for IoT Enabled Healthcare Systems. Sensors, 22(23), 9448.
62. Kumar, M., Kumar, A., Verma, S., Bhattacharya, P., Ghimire, D., Kim, S. H., & Hosen, A. S. (2023). Healthcare Internet of Things (H-IoT): Current Trends, Future Prospects, Applications, Challenges, and Security Issues. Electronics, 12(9), 2050.
63. Kumar, M., Kumar, D., & Akhtar, M. A. K. (2021). A modified GA-based load balanced clustering algorithm for WSN: MGALBC. International Journal of Embedded and Real-Time Communication Systems, 12(1), 44-63
64. Kumar, M., Kumar, D., & Akhtar, M. A. K. (2018, October). Mathematical model for sink mobility (MMSM) in wireless sensor networks to improve network lifetime. In Communication, Networks and Computing: First International Conference, CNC 2018, Gwalior, India, March 22-24, 2018, Revised Selected Papers (pp. 133-141). Singapore: Springer Singapore
65. K. Gaurav, A. S. Ray, and A. Pradhan, “Investment Behavior of Corporate Professionals Towards Mutual Funds in India,” International Journal of Accounting & Finance Review, vol. 14, no. 1, pp. 30–39, 2023.
66. M. Rajanikanth and K. Gaurav, “Influence of Reference Group on Tractor Purchasing Decision of Farmers In Telangana,” Academy of Marketing Studies Journal, vol. 27, no. 5, pp. 1–12, 2023.
67. K. Gaurav, A. S. Ray, and N. K. Sahu, “Factors Determining the Role of Brand in Purchase Decision of Sportswear,” PalArch’s Journal of Archaeology of Egypt / Egyptology, vol. 17, no. 7, pp. 2168–2186, 2020.
68. K. Gaurav and V. Raju, “Factors influencing Highway Retailer Satisfaction in FMCG industry,” Mukt Shabd Journal, vol. 9, no. 4, pp. 1297–1316, 2020.
69. K. Gaurav and A. Suraj Ray, “Impact of Social Media Advertising on Consumer Buying Behavior in Indian E-commerce Industry,” Sumedha Journal of Management, vol. 9, no. 1, pp. 41–51, Jun. 2020, doi: 10.46454/sumedha/9.1.2020.3.
70. Lisha, L., Mousa, S., Arnone, G., Muda, I., Huerta-Soto, R., & Shiming, Z. (2023). Natural resources, green innovation, fintech, and sustainability: A fresh insight from BRICS. Resources Policy, 80, 103119.
71. Ye, W., Wong, W. K., Arnone, G., Nassani, A. A., Haffar, M., & Faiz, M. F. (2023). Crypto currency and green investment impact on global environment: A time series analysis. International Review of Economics & Finance, 86, 155-169.
72. Tauda, G. A., Omara, A., & Arnone, G. (2023). Cryptocurrency: Highlighting the Approach, Regulations, and Protection in Indonesia and European Union. BESTUUR, 11(1), 1-25.
73. Arnone, G., Kumar, A., & Mathure, Y. M. (2022). Application of Fintech in the Modern Banking Industry. Journal of Algebraic Statistics, 13(3), 4244-4249.
74. Panduro-Ramirez, J., Anusha, K., ARNONE, G., Maggavi, R. R., Ruiz-Salazar, J. M., & Almashaqbeh, H. A. (2022, April). An Empirical Investigation in Understanding the Recent Advancements in the Blockchain and Artificial Intelligence for Better Application in the Future. In 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 2473-2477). IEEE.
75. Wang, C., Ahmad, S. F., Ayassrah, A. Y. B. A., Awwad, E. M., Irshad, M., Ali, Y. A., & Han, H. (2023). An empirical evaluation of technology acceptance model for Artificial Intelligence in E-commerce. Heliyon, e18349.
76. Khan, Y., Su’ud, M. B. M., Alam, M. M., Ahmad, S. F., Ahmad, A. Y. B., & Khan, N. (2022). Application of Internet of Things (IoT) in Sustainable Supply Chain Management. Sustainability, 15(1), 694.
77. A. Y. A. B. Ahmad, S. S. Kumari, M. S, S. K. Guha, A. Gehlot and B. Pant, "Blockchain Implementation in Financial Sector and Cyber Security System," 2023 International Conference on Artificial Intelligence and Smart Communication (AISC), Greater Noida, India, 2023, pp. 586-590.
78. A. Y. B. Ahmad, A. A. B. Atta, M. Shehadeh, H. M. A. Baniata, and L. Y. B. Hani, “Fund family performance: Evidence from emerging countries,” WSEAS Trans. Bus. Econ., vol. 20, pp. 951–964, 2023.
79. Fraihat, B. A. M., Ahmad, A. Y. B., Alaa, A. A., Alhawamdeh, A. M., Soumadi, M. M., Aln'emi, E. A. S., & Alkhawaldeh, B. Y. S. (2023). Evaluating Technology Improvement in Sustainable Development Goals by Analysing Financial Development and Energy Consumption in Jordan. International Journal of Energy Economics and Policy, 13(4), 348.
80. Khan, S. (2021). Data Visualization to Explore the Countries Dataset for Pattern Creation. International Journal of Online Biomedical Engineering, 17(13), 4-19.
81. Khan, S. (2021). Visual Data Analysis and Simulation Prediction for COVID-19 in Saudi Arabia Using SEIR Prediction Model. International Journal of Online Biomedical Engineering, 17(8).
82. Khan, S. (2022). Business Intelligence Aspect for Emotions and Sentiments Analysis. Paper presented at the 2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT).
83. 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.
84. Khan, S., & Alshara, M. (2019). Development of Arabic evaluations in information retrieval. International Journal of Advanced Applied Sciences, 6(12), 92-98.
85. Tadiboina, S. N., & Chase, G. C. (2022). The importance and leverage of modern information technology infrastructure in the healthcare industry. Int J Res Trends Innov, 7(11), 340-344.
86. Chaudhary, J. K., Sharma, H., Tadiboina, S. N., Singh, R., Khan, M. S., & Garg, A. (2023). Applications of Machine Learning in Viral Disease Diagnosis. In 2023 10th International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 1167-1172). IEEE.
87. Jain, A., Krishna, M. M., Tadiboina, S. N., Joshi, K., Chanti, Y., & Krishna, K. S. (2023). An analysis of medical images using deep learning. In 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 1440-1445). IEEE.
88. Manikandan, N., Tadiboina, S. N., Khan, M. S., Singh, R., & Gupta, K. K. (2023). Automation of Smart Home for the Wellbeing of Elders Using Empirical Big Data Analysis. In 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 1164-1168). IEEE.
89. Mahendran, R., Tadiboina, S. N., Thrinath, B. S., Gadgil, A., Madem, S., & Srivastava, Y. (2022). Application of Machine Learning and Internet of Things for Identification of Nutrient Deficiencies in Oil Palm. In 2022 5th International Conference on Contemporary Computing and Informatics (IC3I) (pp. 2024-2028). IEEE.
90. H. Gupta, D. Patel, A. Makade, K. Gupta, O. P. Vyas, and A. Puliafito, “Risk Prediction in the Life Insurance Industry Using Federated Learning Approach,” in 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 2022, pp. 948–953.
91. S. Dave, S. Degadwala, and D. Vyas, “DDoS Detection at Fog Layer in Internet of Things,” in 2022 International Conference on Edge Computing and Applications (ICECAA), 2022, pp. 610–617.
92. D. D. Pandya, A. Jadeja, S. Degadwala, and D. Vyas, “Ensemble Learning based Enzyme Family Classification using n-gram Feature,” in 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS), 2022, pp. 1386–1392.
93. V. B. Gadhavi, S. Degadwala, and D. Vyas, “Transfer Learning Approach For Recognizing Natural Disasters Video,” in 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2022, pp. 793–798.
94. J. Mahale, S. Degadwala, and D. Vyas, “Crop Prediction System based on Soil and Weather Characteristics,” in 2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC), 2022, pp. 340–345.
95. L. Mohanty, S. K. Panigrahi, and M. Patnaik, “Assessment of water quality of Mahanadi basin using statistical and wavelet techniques,” Materials Today: Proceedings, vol. 62, pp. 6371–6378, 2022.
96. J. Pradhan, S. Panda, R. K. Mandal, and S. K. Panigrahi, “Influence of GGBFS-based blended precursor on fresh properties of self-compacting geopolymer concrete under ambient temperature,” Materials Today: Proceedings, p. S221478532303732X, Jul. 2023, doi: 10.1016/j.matpr.2023.06.338.
97. R. Das, S. Panda, A. S. Sahoo, and S. K. Panigrahi, “Effect of superplasticizer types and dosage on the flow characteristics of GGBFS based self-compacting geopolymer concrete,” Materials Today: Proceedings, p. S2214785323037331, Jul. 2023.
98. S. K. Parhi and S. K. Panigrahi, “Alkali–silica reaction expansion prediction in concrete using hybrid metaheuristic optimized machine learning algorithms,” Asian Journal of Civil Engineering, pp. 1–23, 2023.
99. S. K. Parhi, S. Dwibedy, S. Panda, and S. K. Panigrahi, “A comprehensive study on Controlled Low Strength Material,” Journal of Building Engineering, p. 107086, 2023.
100. S. K. Panigrahi and A. K. Sahoo, “Possible use of T-section columns in RC frame,” Indian concrete journal, vol. 77, no. 12, pp. 1518–1522, 2003.
101. S. K. Panigrahi, A. Deb, and S. K. Bhattacharyya, “Effect of laminate stiffness on failure mode in FRP wrapped T beams,” IJRET, vol. 4, no. 13, pp. 510–520, 2015.
102. Kumar, J. (2016). Evaluating Superiority of Modern Vis-A-Vis Traditional Financial Performance Measures: Evidences from Indian Pharmaceutical Industry. JIMS8M: The Journal of Indian Management & Strategy, 21(1), 21-30.
103. Kumar, J. (2016). Synoptic View on Economic Value Added (EVA)-Literature Review Summary. Wealth: International Journal of Money, Banking & Finance, 5(2), 34-57.
104. Kumar, J. & Anjali (2022). Role of the Internet of Things (IoT) in Digital Financial Inclusion. In IoT Based Smart Applications (pp. 363-373). Cham: Springer International Publishing.
105. Kumar, J., & Prince, N. (2022). Overconfidence bias in the Indian stock market in diverse market situations: an empirical study. International Journal of System Assurance Engineering and Management, 1-17.
106. Kumar, J., & Rani, V. (2022). Journey of Financial Technology (FinTech): A Systematic Literature Review and Future Research Agenda. Exploring the Latest Trends in Management Literature, 1, 89-108.
107. S. S. Banait, S. S. Sane, D. D. Bage and A. R. Ugale, “Reinforcement mSVM: An Efficient Clustering and Classification Approach using reinforcement and supervised Technique, ”International Journal of Intelligent Systems and Applications in Engineering (IJISAE), Vol.35, no.1S, p .78-89. 2022.
108. S. S. Banait, S. S. Sane and S. A. Talekar, “An efficient Clustering Technique for Big Data Mining” , International Journal of Next Generation Computing (IJNGC) , Vol.13, no.3, pp.702-717. 2022.
109. S. A. Talekar , S. S. Banait and M. Patil.. “Improved Q- Reinforcement Learning Based Optimal Channel Selection in CognitiveRadio Networks,” International Journal of Computer Networks & Communications (IJCNC), Vol.15, no.3, pp.1-14, 2023.
110. S. S. Banait and Dr. S. S. Sane, “Novel Data Dimensionality Reduction Approach Using Static Threshold, Minimum Projection Error and Minimum Redundancy, “ Asian Journal of Organic & Medicinal Chemistry (AJOMC) , Vol.17, no.2, pp.696-705, 2022.
111. S. S. Banait and S. S. Sane, “Result Analysis for Instance and Feature Selection in Big Data Environment, “International Journal for Research in Engineering Application & Management (IJREAM), Vol.8, no.2, pp.210-215, 2022.
112. G. K. Bhamre and S. S. Banait, “Parallelization of Multipattern Matching on GPU, “International Journal of Electronics, Communication & Soft Computing Science and Engineering, Vol.3, no.3, pp.24-28, 2014.
113. Ramesh, S., Rama Rao, T., “Indoor channel characterization studies for V-band gigabit wireless communications using dielectric-loaded exponentially tapered slot antenna,” International Journal of Microwave and Wireless Technologies, vol. 8, no. 8, pp. 1243-1251, 2016.
114. Ramesh, S., Rama Rao, T., “Millimeter wave dielectric loaded exponentially tapered slot antenna array using substrate integrated waveguide for gigabit wireless communications,” Journal of Infrared and Millimeter Waves, vol. 34, no. 5, pp. 513-519, 2015.
115. S.Chitra, N.Kumaratharan, S.Ramesh, “A novel subspace method for precise carrier frequency offset estimation in multicarrier modulation scheme under multiuser environment,” International Journal of Communication Systems, vol. 33, no. 17, pp. e4608, 1-16, 2020.
116. V. Satheesh Kumar, S. Ramesh, “Implementation of High-Q Embedded Band Pass Filter in Wireless Communication,” Intelligent Automation & Soft Computing, vol. 36, no. 2, pp. 2191-2200, 2023.
117. V. Satheesh Kumar, S. Ramesh, “LCP Based Planar High Q Embedded Band Pass Filter for Wireless Applications,” Journal of Mobile Multimedia, vol. 14, no. 3, pp. 307-318, 2018.
118. D. K. Sharma, B. Singh, R. Regin, R. Steffi and M. K. Chakravarthi, "Efficient Classification for Neural Machines Interpretations based on Mathematical models," 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, pp. 2015-2020.
119. F. Arslan, B. Singh, D. K. Sharma, R. Regin, R. Steffi and S. Suman Rajest, "Optimization Technique Approach to Resolve Food Sustainability Problems," 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 2021, pp. 25-30.
120. G. A. Ogunmola, B. Singh, D. K. Sharma, R. Regin, S. S. Rajest and N. Singh, "Involvement of Distance Measure in Assessing and Resolving Efficiency Environmental Obstacles," 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 2021, pp. 13-18.
121. D. K. Sharma, B. Singh, M. Raja, R. Regin and S. S. Rajest, "An Efficient Python Approach for Simulation of Poisson Distribution," 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, pp. 2011-2014.
122. Batool, Kiran; Zhao, Zhen-Yu; Irfan, Muhammad; Żywiołek, Justyna (2023): Assessing the role of sustainable strategies in alleviating energy poverty: an environmental sustainability paradigm. w: Environ Sci Pollut Res, s. 1–22.
123. Khan, Muhammad Asghar; Kumar, Neeraj; Mohsan, Syed Agha Hassnain; Khan, Wali Ullah; Nasralla, Moustafa M.; Alsharif, Mohammed H. i wsp. (2023): Swarm of UAVs for Network Management in 6G: A Technical Review. w: IEEE Trans. Netw. Serv. Manage. 20 (1), s. 741–761.
124. Mohsan, Syed Agha Hassnain; Othman, Nawaf Qasem Hamood; Khan, Muhammad Asghar; Amjad, Hussain; Żywiołek, Justyna (2022): A Comprehensive Review of Micro UAV Charging Techniques. w: Micromachines 13 (6).
125. Tucmeanu, Elena Roxana; Tucmeanu, Alin Iulian; Iliescu, Madalina Gabriela; Żywiołek, Justyna; Yousaf, Zahid (2022): Successful Management of IT Projects in Healthcare Institutions after COVID-19: Role of Digital Orientation and Innovation Adaption. w: Healthcare (Basel, Switzerland) 10 (10).
126. Żywiołek, Justyna; Tucmeanu, Elena Roxana; Tucmeanu, Alin Iulian; Isac, Nicoleta; Yousaf, Zahid (2022): Nexus of Transformational Leadership, Employee Adaptiveness, Knowledge Sharing, and Employee Creativity. w: Sustainability 14 (18), s. 11607..
127. 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.
128. 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.
129. 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.
130. 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.
131. 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.
132. Srinath Venkatesan, “Design an Intrusion Detection System based on Feature Selection Using ML Algorithms”, MSEA, vol. 72, no. 1, pp. 702–710, Feb. 2023
133. Srinath Venkatesan, “Identification Protocol Heterogeneous Systems in Cloud Computing”, MSEA, vol. 72, no. 1, pp. 615–621, Feb. 2023.
134. 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.
135. Srinath Venkatesan, “Perspectives and Challenges of Artificial Intelligence Techniques in Commercial Social Networks” Volume 21, No 5 (2023).
136. Srinath Venkatesan, Zubaida Rehman, “The Power Of 5g Networks and Emerging Technology and Innovation: Overcoming Ongoing Century Challenges” Ion exchange and adsorption, Vol. 23 (1), 2023.
137. Srinath Venkatesan, “Challenges of Datafication: Theoretical, Training, And Communication Aspects of Artificial Intelligence” Ion exchange and adsorption. Volume 23, Issue 1, 2023.
138. 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
139. 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, doi: 10.48047/nq.2023.21.5.NQ222079
140. 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).
141. Srinath Venkatesan, Sandeep Bhatnagar, Iván Mesias Hidalgo Cajo, Xavier Leopoldo Gracia Cervantes, "Efficient Public Key Cryptosystem for wireless Network", Neuroquantology, Vol. 21, No 5, pp. 600-606, (2023).
142. “Higher 2.6.4. Applications of capacitors - PGS physics,” Google.com. [Online]. Available: https://sites.google.com/a/perthgrammar.co.uk/physics/courses/higher/electricity/higher-26-capacitors/higher-264-applications-of-capacitors. [Accessed: 28-Aug-2023].