Open Access
Issue
E3S Web Conf.
Volume 619, 2025
3rd International Conference on Sustainable Green Energy Technologies (ICSGET 2025)
Article Number 03004
Number of page(s) 17
Section Smart Electronics for Sustainable Solutions
DOI https://doi.org/10.1051/e3sconf/202561903004
Published online 12 March 2025
  1. Florencia, Rogelio, Vicente García, Julia Patricia Sánchez Solís, and Blanca Elena Cazares. “Data Augmentation Techniques for Facial Image Generation: A Brief Literature Review.” Instituto de Ingeniería y Tecnología (2023). [Google Scholar]
  2. Bashir, S., Sharma, V., Lgaz, H., Chung, I.-M., Singh, A., Kumar, A. (2018). The inhibition action of analgin on the corrosion of mild steel in acidic medium: A combined theoretical and experimental approach. *Journal of Molecular Liquids*, 263.0, 454-462. [CrossRef] [Google Scholar]
  3. Cazares, Blanca Elena, Rogelio Florencia, Vicente García, and J. Patricia Sánchez-Solís. “Data Augmentation Techniques for Facial Image Generation: A Brief Literature Review.” Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications (2023): 185-209. [Google Scholar]
  4. Hora, Simran Kaur, Rachana Poongodan, Rocio Perez De Prado, Marcin Wozniak, and Parameshachari Bidare Divakarachari. “Long short-term memory network-based metaheuristic for effective electric energy consumption prediction.” Applied Sciences 11, no. 23 (2021): 11263. [CrossRef] [Google Scholar]
  5. Vandana, C. P., and Ajeeth A. Chikkamannur. “Feature selection: An empirical study.” International Journal of Engineering Trends and Technology 69, no. 2 (2021): 165-170. [Google Scholar]
  6. Liang, Yunji, Sagar Samtani, Bin Guo, and Zhiwen Yu. “Behavioral biometrics for continuous authentication in the internet-of-things era: An artificial intelligence perspective.” IEEE Internet of Things Journal 7, no. 9 (2020): 9128-9143. [CrossRef] [Google Scholar]
  7. Pittala, C.S., Vallabhuni, R.R., Vijay, V., Anam, U.R., Chaitanya, K. (2022). Numerical analysis of various plasmonic MIM/MDM slot waveguide structures. *International Journal of System Assurance Engineering and Management*, 13.0(5.0), 2551-2558. [Google Scholar]
  8. Dalvi, Chirag, Manish Rathod, Shruti Patil, Shilpa Gite, and Ketan Kotecha. “A survey of ai- based facial emotion recognition: Features, ml & dl techniques, age-wise datasets and future directions.” Ieee Access 9 (2021): 165806-165840. [CrossRef] [Google Scholar]
  9. Jayachandran, M., Gatla, R.K., Rao, K.P., Rao, G.S., Mohammed, S., Milyani, A.H., Azhari, A.A., Kalaiarasy, C., Geetha, S. (2022). Challenges in achieving sustainable development goal 7: Affordable and clean energy in light of nascent technologies. *Sustainable Energy Technologies and Assessments*, 53.0, No Pages. https://doi.org/10.1016/j.seta.2022.102692 [Google Scholar]
  10. Karuppusamy, Loheswaran, Jayavadivel Ravi, Murali Dabbu, and Srinivasan Lakshmanan. “Chronological salp swarm algorithm based deep belief network for intrusion detection in cloud using fuzzy entropy.” International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 35, no. 1 (2022): e2948. [CrossRef] [Google Scholar]
  11. Suji Prasad, S. J., M. Thangatamilan, M. Suresh, Hitesh Panchal, Christober Asir Rajan, C. Sagana, B. Gunapriya, Aditi Sharma, Tusharkumar Panchal, and Kishor Kumar Sadasivuni. “An efficient LoRa-based smart agriculture management and monitoring system using wireless sensor networks.” International Journal of Ambient Energy 43, no. 1 (2022): 5447-5450. [CrossRef] [Google Scholar]
  12. Akshatha, S., S. Sreenivasa, L. Parashuram, Fahad A. Alharthi, and Tadimety Madhu Chakrapani Rao. “Microwave assisted green synthesis of p-type Co3O4@ Mesoporous carbon spheres for simultaneous degradation of dyes and photocatalytic hydrogen evolution reaction.” Materials Science in Semiconductor Processing 121 (2021): 105432. [CrossRef] [Google Scholar]
  13. Patil, Seema, and R. J. Anandhi. “Diversity based self-adaptive clusters using PSO clustering for crime data.” International Journal of Information Technology 12, no. 2 (2020): 319-327. [CrossRef] [Google Scholar]
  14. Feng, Xiaoru, Kezheng Xu, Ming-Jie Luo, Haichao Chen, Yangfan Yang, Qi He, Chenxin Song et al. “Latest Developments of Generative Artificial Intelligence and Applications in Ophthalmology.” Asia-Pacific Journal of Ophthalmology (2024): 100090. [Google Scholar]
  15. Tosif, M.M., Najda, A., Bains, A., Kaushik, R., Dhull, S.B., Chawla, P., Walasek-Janusz, M. (2021). A comprehensive review on plant-derived mucilage: Characterization, functional properties, applications, and its utilization for nanocarrier fabrication. *Polymers*, 13.0(7), No Pages. https://doi.org/10.3390/polym13071066 [Google Scholar]
  16. Khursheed, R., Singh, S.K., Wadhwa, S., Kapoor, B., Gulati, M., Kumar, R., Ramanunny, A.K., Awasthi, A., Dua, K. (2019). Treatment strategies against diabetes: Success so far and challenges ahead. *European Journal of Pharmacology*, 862.0, No Pages. [Google Scholar]
  17. Shukla, P.K., Sandhu, J.K., Ahirwar, A., Ghai, D., Maheshwary, P., Shukla, P.K. (2021). Multiobjective Genetic Algorithm and Convolutional Neural Network Based COVID-19 Identification in Chest X-Ray Images. *Mathematical Problems in Engineering*, 2021.0, No Pages. https://doi.org/10.1155/2021/7804540 [Google Scholar]
  18. Verma, P.K., Agrawal, P., Amorim, I., Prodan, R. (2021). WELFake: Word Embedding over Linguistic Features for Fake News Detection. *IEEE Transactions on Computational Social Systems*, 8.0(4), 881-893. https://doi.org/10.1109/TCSS.2021.3068519 [CrossRef] [Google Scholar]
  19. Mirabet-Herranz, Nélida. “Advancing Beyond People Recognition in Facial Image Processing.” PhD diss., Sorbonne Université, 2024. [Google Scholar]
  20. Asha, V., Nagappa U. Bhajantri, and P. Nagabhushan. “Automatic detection of texture defects using texture-periodicity and Gabor wavelets.” arXiv preprint arXiv:1212.1329 (2012). [Google Scholar]
  21. Venkatesan, Murugan, Narayanamoorthi Rajamanickam, Pradeep Vishnuram, Mohit Bajaj, Vojtech Blazek, Lukas Prokop, and Stanislav Misak. “A review of compensation topologies and control techniques of bidirectional wireless power transfer systems for electric vehicle applications.” Energies 15, no. 20 (2022): 7816. [CrossRef] [Google Scholar]
  22. Meenal, R., D. Binu, K. C. Ramya, Prawin Angel Michael, K. Vinoth Kumar, E. Rajasekaran, and B. Sangeetha. “Weather forecasting for renewable energy system: a review.” Archives of Computational Methods in Engineering 29, no. 5 (2022): 2875-2891. [CrossRef] [Google Scholar]
  23. Godwin, J. Jijin, BV Santhosh Krishna, R. Rajeshwari, P. Sushmitha, and M. Yamini. “IoT based intelligent ambulance monitoring and traffic control system.” Further Advances in Internet of Things in Biomedical and Cyber Physical Systems (2021): 269-278. [Google Scholar]
  24. Khamparia, A., Bharati, S., Podder, P., Gupta, D., Khanna, A., Phung, T.K., Thanh, D.N.H. (2021). Diagnosis of breast cancer based on modern mammography using hybrid transfer learning. *Multidimensional Systems and Signal Processing*, 32.0(2), 747-765. https://doi.org/10.1007/s11045-020-00756-7 [CrossRef] [PubMed] [Google Scholar]
  25. Byeon, Haewon, Vikas Raina, Mukta Sandhu, Mohammad Shabaz, Ismail Keshta, Mukesh Soni, Khaled Matrouk, Pavitar Parkash Singh, and TR Vijaya Lakshmi. “Artificial intelligence-Enabled deep learning model for multimodal biometric fusion.” Multimedia Tools and Applications (2024): 1-24. [Google Scholar]
  26. Rahulkumar, J., R. Narayanamoorthi, Pradeep Vishnuram, Mohit Bajaj, Vojtech Blazek, Lukas Prokop, and Stanislav Misak. “An empirical survey on wireless inductive power pad and resonant magnetic field coupling for in-motion EV charging system.” IEEE Access 11 (2022): 4660-4693. [Google Scholar]
  27. Kumar, H., Bhardwaj, K., Nepovimova, E., Kuča, K., Dhanjal, D.S., Bhardwaj, S., Bhatia, S.K., Verma, R., Kumar, D. (2020). Antioxidant functionalized nanoparticles: A combat against oxidative stress. *Nanomaterials*, 10.0(7), 1-31. https://doi.org/10.3390/nano10071334 [Google Scholar]
  28. Kumar, H., Bhardwaj, K., Nepovimova, E., Kuča, K., Dhanjal, D.S., Bhardwaj, S., Bhatia, S.K., Verma, R., Kumar, D. (2020). Antioxidant functionalized nanoparticles: A combat against oxidative stress. *Nanomaterials*, 10.0(7), 1-31. https://doi.org/10.3390/nano10071334 [Google Scholar]
  29. Singh, G., Pruncu, C.I., Gupta, M.K., Mia, M., Khan, A.M., Jamil, M., Pimenov, D.Y., Sen, B., Sharma, V.S. (2019). Investigations of machining characteristics in the upgraded MQL- assisted turning of pure titanium alloys using evolutionary algorithms. *Materials*, 12.0(6), No Pages. [Google Scholar]
  30. Hariharan, Shanmugasundaram, D. Anandan, Murugaperumal Krishnamoorthy, Vinay Kukreja, Nitin Goyal, and Shih-Yu Chen. “Advancements in Liver Tumor Detection: A Comprehensive Review of Various Deep Learning Models.” CMES-Computer Modeling in Engineering & Sciences 142, no. 1 (2025). [Google Scholar]
  31. Sai, Siva, Aanchal Gaur, Revant Sai, Vinay Chamola, Mohsen Guizani, and Joel JPC Rodrigues. “Generative ai for transformative healthcare: A comprehensive study of emerging models, applications, case studies and limitations.” IEEE Access (2024). [Google Scholar]
  32. Janakiramaiah, B., Kalyani, G., Karuna, A., Prasad, L.V.N., Krishna, M. (2023). Military object detection in defense using multi-level capsule networks. *Soft Computing*, 27.0(2.0), 1045-1059. https://doi.org/10.1007/s00500-021-05912-0 [Google Scholar]
  33. Singh, Varun Pratap, Siddharth Jain, Ashish Karn, Gaurav Dwivedi, Ashwani Kumar, Sachin Mishra, Naveen Kumar Sharma, Mohit Bajaj, Hossam M. Zawbaa, and Salah Kamel. “Heat transfer and friction factor correlations development for double pass solar air heater artificially roughened with perforated multi-V ribs.” Case Studies in Thermal Engineering 39 (2022): 102461. [CrossRef] [Google Scholar]
  34. Martos, Rubén, Oscar Ibáñez, and Pablo Mesejo. “Artificial intelligence in forensic anthropology: State of the art and Skeleton-ID project.” Methodological and Technological Advances in Death Investigations (2024): 83-153. [Google Scholar]
  35. Gupta, M.K., Mia, M., Singh, G.R., Pimenov, D.Y., Sarikaya, M., Sharma, V.S. (2019). Hybrid cooling-lubrication strategies to improve surface topography and tool wear in sustainable turning of Al 7075-T6 alloy. *International Journal of Advanced Manufacturing Technology*, 101.0(2024-04-01 00:00:00), 55-69. https://doi.org/10.1007/s00170-018- 2870-4 [CrossRef] [Google Scholar]
  36. Jena, M.K., Nayak, N., Chen, K., Nayak, N.R. (2019). Role of Macrophages in Pregnancy and Related Complications. *Archivum Immunologiae et Therapiae Experimentalis*, 67.0(5), 295-309. [CrossRef] [PubMed] [Google Scholar]
  37. Gupta, Priyanka, Bosheng Ding, Chong Guan, and Ding Ding. “Generative AI: A systematic review using topic modelling techniques.” Data and Information Management (2024): 100066. [Google Scholar]
  38. Pittala, C.S., Vallabhuni, R.R., Vijay, V., Anam, U.R., Chaitanya, K. (2022). Numerical analysis of various plasmonic MIM/MDM slot waveguide structures. *International Journal of System Assurance Engineering and Management*, 13.0(5.0), 2551-2558. [Google Scholar]
  39. Nixon, Seth, Pietro Ruiu, Claudia Trignano, and Massimo Tistarelli. “Forensic Biometrics: Challenges, Innovation and Opportunities.” In Driving Forensic Innovation in the 21st Century: Crossing the Valley of Death, pp. 165-194. Cham: Springer International Publishing, 2024. [Google Scholar]
  40. Prashar, D., Jha, N., Jha, S., Lee, Y., Joshi, G.P. (2020). Blockchain-based traceability and visibility for agricultural products: A decentralizedway of ensuring food safety in India. *Sustainability (Switzerland)*, 12.0(8), No Pages. https://doi.org/10.3390/SU12083497 [Google Scholar]
  41. Khamparia, A., Bharati, S., Podder, P., Gupta, D., Khanna, A., Phung, T.K., Thanh, D.N.H. (2021). Diagnosis of breast cancer based on modern mammography using hybrid transfer learning. *Multidimensional Systems and Signal Processing*, 32.0(2), 747-765. https://doi.org/10.1007/s11045-020-00756-7 [CrossRef] [PubMed] [Google Scholar]
  42. Srilatha, P., Gowda, R.J.P., Madhu, J., Nagaraja, K.V., Gamaoun, F., Kumar, R.S.V., Karthik, K. (2024). Designing a solid–fluid interface layer and artificial neural network in a nanofluid flow due to rotating rough and porous disk. *Journal of Thermal Analysis and Calorimetry*, 149.0(2.0), 867-878. https://doi.org/10.1007/s10973-023-12706-z [CrossRef] [Google Scholar]
  43. Masud, M., Gaba, G.S., Choudhary, K., Hossain, M.S., Alhamid, M.F., Muhammad, G. (2022). Lightweight and Anonymity-Preserving User Authentication Scheme for IoT-Based Healthcare. *IEEE Internet of Things Journal*, 9.0(4), 2649-2656. [CrossRef] [Google Scholar]
  44. Harris, Elsa J., I. Khoo, and Emel Demircan. “A survey of human gait-based artificial intelligence applications.” Frontiers in Robotics and AI 8 (2022): 749274. [CrossRef] [PubMed] [Google Scholar]
  45. Farooq, Muhammad Ali, Wang Yao, Gabriel Costache, and Peter Corcoran. “Childgan: large scale synthetic child facial data using domain adaptation in stylegan.” IEEE Access (2023). [Google Scholar]
  46. Jayachandran, M., Gatla, R.K., Rao, K.P., Rao, G.S., Mohammed, S., Milyani, A.H., Azhari, A.A., Kalaiarasy, C., Geetha, S. (2022). Challenges in achieving sustainable development goal 7: Affordable and clean energy in light of nascent technologies. *Sustainable Energy Technologies and Assessments*, 53.0, No Pages. https://doi.org/10.1016/j.seta.2022.102692 [Google Scholar]
  47. Janakiramaiah, B., Kalyani, G., Karuna, A., Prasad, L.V.N., Krishna, M. (2023). Military object detection in defense using multi-level capsule networks. *Soft Computing*, 27.0(2.0), 1045-1059. [Google Scholar]
  48. Tucci, Cesare, Attilio Della Greca, Genoveffa Tortora, and Rita Francese. “Explainable biometrics: a systematic literature review.” Journal of Ambient Intelligence and Humanized Computing (2024): 1-20. [Google Scholar]
  49. Kumar, V., S. Dahiya, Nisha Deopa, R. Punia, and A. S. Rao. “Judd-Ofelt itemization and influence of energy transfer on Sm3+ ions activated B2O3–ZnF2–SrO–SiO2 glasses for orange-red emitting devices.” Journal of Luminescence 229 (2021): 117651. [CrossRef] [Google Scholar]
  50. Jin, Lianchao, Fuxiao Tan, and Shengming Jiang. “Generative adversarial network technologies and applications in computer vision.” Computational intelligence and neuroscience 2020, no. 1 (2020): 1459107. [PubMed] [Google Scholar]

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