JOURNALS

      SCI Journals


       1.Madhavi Karanam, Lipika Goel, Lakshmi Prasanna Yeluri, (July 2024), Revealing the dynamics of demand forecasting in supply chain management: a holistic investigation, Cogent Engineering, 11:1, 2368104
       2. Kathi Chandra Mouli, G. Y. Vybhavi, C.Sravani, (July 2024) An analysis on classification models for customer churn prediction, Cogent Engineering, 11:1, 2378877.
       3. G. Ramesh, "Artificial Intelligence Enabled Future Wireless Electric Vehicles with Multi-Model Learning and Decision Making Models," in Tsinghua Science and Technology, vol. 29, no. 6, pp. 1776-1784, December 2024.
       4. D.Siri, ”Enhanced Deep Learning Models for Automatic Fish Species Identification in underwater Imagery”,August 2024,Helion.
       5. Y. Krishna Bhargavi, Early identification of Schizophrenia using multi-view learning model,COGENT ENGINEERING,(ESCI) August 2024,(Open access).
       6. Bh Prashanthi, LEViT- Leaf Disease identifcation and classifcation using an enhanced Vision transformers(ViT) model,(SCIE), Springer, August 2024.
       7. G Ramesh et al., Optimizing Task Scheduling: Exploring Advanced Machine Learning in Dew-Powered Cloud Environments,Scalable Computing: Practice and Experience, Volume 25, Issues 5, pp. 3701–3714, 2024.
       8. Viswanadhapalli, Balaji & Raja, V. & Chaitanya, K. & Kannan, S.. (2025). Formability Studies on Magnesium Based AZ31B Alloy Sheet in LS Dyna Program Code. Archives of Metallurgy and Materials. 183-192.
       9. Ashlin Deepa R N (2024). Nearest quad-tree (NQT) classifier: a novel framework for handwritten character recognition. Cogent Engineering, 11(1).
       10. Ashlin Deepa, R. N (2024) Local symmetrical patterns-based feature extraction model (LSP-FEM) for efficient face recognition. Cogent Engineering, 11(1).
       11. Ashlin Deepa R N,(2024). Interactive precision medicine revolution: unleashing a deep learning framework for drug response and recommendation. Cogent Engineering, 11(1).
       12. Chinnasamy, Ponnusamy, G. Charles Babu, Ramesh Kumar Ayyasamy, S. Amutha, Keshav Sinha, and Allam Balaram. 2024. "Blockchain 6G-Based Wireless Network Security Management with Optimization Using Machine Learning Techniques" Sensors, 24, no. 18: 6143.
       13. Mr. A. Rameshbabu, Dr G.N.R. Prasad, Dr Ravi Kumar M, V. Usha, Dr. A. Azhagu Jaisudhan Pazhani, & Dr. G. Charles Babu. (2024). Integrating Genetic Algorithm and Leverage the Slap Swarm Algorithm to Optimize the LSTM Model to Predict Cardiovascular Disease. The Bioscan, 19(SpecialIssue-1),288–293.
       14. Mr. P. Gunasekaran, V Sudha, Dr. Narendra B Mustare, Ramesh Babu Pittala, Dr. A. Azhagu Jaisudhan Pazhani, & Dr. G. Charles Babu. (2024). Modified Artificial Bee Colony Optimization with SVM for Optimize the Selection and Classification of Heart Disease. The Bioscan, 19(Special Issue-1), 661–666.
       15. Ch.Mallikarjuna Rao et al.,"Performance analysis of linear and non-linear machine learning models for forecasting compressive strength of concrete" Cogent Engineering, 11:1, 2368101.
       16. Prof. G. Mallikarjuna Rao et al.,Interactive precision medicine revolution: unleashing a deep learning framework for drug response and recommendation, Cogent Engineering, 2024, 11(1), 2389317.

        SCOPUS Journals

  1. Kandukuri, P., Abdul, A., Kumar, K. P. G., Ramesh et al. Deep learning based RAGAE-SVM for Chronic kidney disease diagnosis on internet of health things platform, Multimedia Tools and Applications, 2024.
  2. Ashlin Deepa R. N. (2024), An integrated approach for intrusion detection in intelligent grid computing networks using machine learning, Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA), Volume 15, Number 4, December 2024.
  3. Gogineni, N., Sivalingam, S. M. (2024), A systematic review on recent methods of scheduling and load balancing for containers in distributed environments, International Journal of Advanced Technology and Engineering Exploration, Vol. 11, Issue 116, pp. 1030–1048.
  4. Saravanan, M. S., Gogineni, N. (2025), A Novel Methodology for Container Scheduling and Load Balancing in Distributed Environments, Indonesian Journal of Electrical Engineering and Informatics.
  5. Venkatesh, B., Sandhya, N., Gogineni, N., Mouneswari, K., Joshi, S. S., Rama Sree, S. (2024), Integrating Genetic Algorithm and Slap Swarm Algorithm to Optimize the Multi-Objective Random Forest Model to Predict Cerebrovascular Disease.
  6. Rahman, A., Hussain, S. J., Vani, M. S., Velu, C. M., Rajkumar, N., Srinivasa Rao, P. S. V., Babu, G. C., Kanakaprabha, S. (2025), Optimizing Township Government Administration with Genetic Algorithms for a Green and Sustainable Rural Future, Engineering, Technology & Applied Science Research, Vol. 15, Issue 2.
  7. Ushasree, D., Praveen Krishna, A. V., Mallikarjuna Rao, Ch. (2024), Enhanced Stroke Prediction Using Stacking Methodology (ESPESM) in Intelligent Sensors for Aiding Preemptive Clinical Diagnosis of Brain Stroke, Measurement: Sensors, Volume 33.
  8. Ushasree, D. et al. (2024), Software Defect Prediction Through Effective Weighted Optimization Model for Assured Software Quality, International Journal of Intelligent Systems and Applications in Engineering, 12(15s), pp. 619–633.
  9. Siri, D., Janardhan, M., Neelima, A., Singasani, T. R., Vatambeti, R. S. (2024), Segment-Based Unsupervised Deep Learning for Human Activity Recognition using Accelerometer Data and SBOA based Channel Attention Networks, International Research Journal of Multidisciplinary Technovation, Q4, 6(6), pp. 1–16.
  10. Prashanthi, B., Praveen Krishna, A. V., Mallikarjuna Rao, Ch. (2025), A Comparative Study, Engineering, Technology & Applied Science Research, Volume 15, Issue 1.
  11. Shobharani, B., Jyothsna, V., Prasad, D. R., Chandra Sekhar Reddy, P., Farhad, S., Gupta, A. (2023), Impact of Image Processing and Deep Learning in IoT based Industrial Automation System, International Journal of Intelligent Systems and Applications in Engineering, 12(4s), pp. 801–807.
  12. Varaprasada Rao, P. (2024), Optimization of Neural Networks Using Mathematical Algorithms: An LSTM-Based Machine Learning Approach to Lung Cancer Diagnosis.


        UGC Journals

  1. B. S. Anil Kumar, Thappiti Sasi Kumar, Ranga Adithya, Kothapelly Ajay, Areeb Ahmed, Writing on Smartboard Using Computer Vision and Hand Gestures, International Research Journal of Modernization in Engineering Technology and Science, Volume 07, Issue 03, March 2025.
  2. D. Siri (2024), Developing AI Applications for Education: A Design Thinking Approach to Enhance Learning Experiences, International Journal of Science and Social Science Research, November 2024.



        Book Chapters

  1. Bargavi, Y. K. (2025). Analysis of Virtual Reality Team Performance in Private Organizations. In R. Bansal & R. Lampou (Eds.), Optimizing Virtual Reality and Metaverse for Remote Work and Virtual Team Collaboration (pp. 31–48). IGI Global Scientific Publishing.
  2. Raju, K. B. (2025). Metaverse-Based Virtual Workspace to Support Team Collaboration in the Laboratory. In R. Bansal & R. Lampou (Eds.), Optimizing Virtual Reality and Metaverse for Remote Work and Virtual Team Collaboration (pp. 99–116). IGI Global Scientific Publishing.


        SCOPUS Conferences

  1. Bh. Prashanthi, Efficient Spectrum Sensing in Cognitive Radio Network Using Multi-Objective Improved Salp Swarm Algorithm, 2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT), September 2024.
  2. Bh. Prashanthi, An Effective Cognitive Radio Network Based Improved Differential Evolution Optimization in Energy Harvesting Scenarios, 2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT), September 2024.
  3. Bh. Prashanthi, Reuse and Recycling of Waste Materials for Green Nanocomposite Fabrication, SDEA-2024, E3S Web of Conferences, Volume 537, 2024.
  4. G. Ramesh et al., Optimizing Smart Grids with Advanced AI Algorithms for Real-Time Energy Management, E3S Web of Conferences, Volume 581, 2024.
  5. G. Ramesh et al., Synergistic Effect of Graphene and Boron Nitride on the Electrical Conductivity and Mechanical Properties of Hybrid Polymer Composites, E3S Web of Conferences, Volume 588, 03013, 2024.
  6. V. H. Raj, M. S. S. Reddy, H. P. Thethi, G. Ramesh, Q. Mohammad, M. Bhavana, Impact Assessment and Mitigation Strategies for Plug-in Electric Vehicles on Distribution Networks: A Probabilistic Approach, IC3I 2024, Greater Noida, India, pp. 633–637.
  7. T. Sudarshan et al., Optimizing Wind Turbine Placement for Enhanced Energy Production Using Modified Genetic Algorithm, IC3I 2024, Greater Noida, India, pp. 638–642.
  8. K. Aravind et al., Enhancing Smart Grid Efficiency Through Innovative Data Management and Analytics for Demand Energy Management, IC3I 2024, Greater Noida, India, pp. 643–649.
  9. Kodali Anuradha, Incorporating Sustainable Development Goals (SDGs) into Building Environment-Related Business Models: A Comprehensive Review, SNE2-2024, E3S Web of Conferences, Volume 588, 01005, 2024.
  10. Kodali Anuradha, Energy Efficiency in Buildings Using Internet of Things (IoT) and Big Data Analytics, E3S Web of Conferences, Volume 581, 01009, 2024.
  11. J. Sravanthi, Utilizing Artificial Intelligence for Efficient Resource Allocation and Logistics in Humanitarian Aid, ICSCAI 2024, Greater Noida, India, pp. 1–6.
  12. Y. K. Bargavi, Evaluating the Ecological Footprint: Analyzing the Environmental Impact of Battery Energy Storage Systems within Electric Grids, IC3I 2024, Greater Noida, India, pp. 604–609.
  13. Y. K. Bargavi, Assessment and Summary of Inverter and Induction Motor Efficiency in Dual Electric Vehicle Drive Systems Across Urban and Highway Driving Conditions, IC3I 2024, Greater Noida, India, pp. 610–615.
  14. B. S. Babu, Advancing Residential Energy Management: Integrating Renewable Resources and Vehicle-to-Grid Systems for Optimized Electrical Grid Performance, IC3I 2024, Greater Noida, India, pp. 616–620.
  15. B. S. Babu, Integrating Renewable Energy Sources into Smart Grids with an Aggregator-Based Energy Management System for Efficiency and Resilience, IC3I 2024, Greater Noida, India, pp. 621–626.
  16. B. S. Babu, Enhancing Microgrid Stability: Optimal BESS Sizing via Modified PSO for Frequency Control and Cost Efficiency, IC3I 2024, Greater Noida, India, pp. 627–632.
  17. K. B. Raju, Scalable Cloud-Integrated Analytics and Visualization for Real-Time Smart Grid Management, IC3I 2024, Greater Noida, India, pp. 1488–1494.
  18. K. B. Raju, Enhanced Detection of Weak Signals in Chaotic Systems Through Hybrid Neuro-Fuzzy Inference Techniques, IC3I 2024, Greater Noida, India, pp. 1515–1521.
  19. K. B. Raju, Adaptive Framework for Comprehensive Quality Assessment in Unstructured Big Data, IC3I 2024, Greater Noida, India, pp. 1522–1528.
  20. V. Keerthi, Advanced Hybrid Intelligence Framework for Scalable and Robust Big Data Analytics, IC3I 2024, Greater Noida, India, pp. 1529–1535.
  21. V. Keerthi, Advanced Framework for Quantifying and Managing Renewable Energy Variability in Power Grids, IC3I 2024, Greater Noida, India, pp. 1536–1542.
  22. V. Keerthi, Enhancing Electric Power System Reliability through Advanced Data Quality Assurance with PowerDataQ Framework, IC3I 2024, Greater Noida, India, pp. 1543–1548.
  23. Y. K. Bargavi, Transfer Learning for Energy Consumption Forecasting in Smart Buildings, IC3I 2024, Greater Noida, India, pp. 1549–1555.
  24. P. Chandra Sekhar Reddy, Development of Domestic Waste Management Recycle to Finished Goods, E3S Web of Conferences, Volume 563, 2024.
  25. Javvadi Lakshmi Prasanna, Circular Economy Assessment of Recycled Concrete with Life Cycle, E3S Web of Conferences, Volume 581, 2024.
  26. Kathi Chandra Mouli, Predictive Modeling of Energy Consumption in Smart Grids using Artificial Neural Networks, E3S Web of Conferences, Volume 581, 2024.
  27. Jajimoggala Sravanthi, Enhancing Wind Turbine Performance using Computational Fluid Dynamics, E3S Web of Conferences, Volume 581, 2024.
  28. Dharmapuri Siri, Carbon Capture and Storage Optimization with Machine Learning, E3S Web of Conferences, Volume 581, 01003 (2024).
  29. Gummagatta Yajaman Vybhavi, Sustainable Waste Management in Urban Areas using Data Envelopment Analysis, E3S Web of Conferences, Volume 581, 01007 (2024).
  30. Rajireddy Soujanya, Impact of Climate Change on Agricultural Yield: A Meta-Analysis, E3S Web of Conferences, Volume 581, 01008 (2024).
  31. Kodali Anuradha, Energy Efficiency in Buildings using IoT and Big Data Analytics, E3S Web of Conferences, Volume 581, 01009 (2024).
  32. R. N. Ashlin Deepa, Evaluating the Effectiveness of Carbon Tax Policies with Econometric Modeling, E3S Web of Conferences, Volume 581, 01012 (2024).
  33. Y. KrishnaBhargavi, Sustainable Production of Hydrogen from Biomass using Pyrolysis, E3S Web of Conferences, Volume 581, 01013 (2024).
  34. Bh. Prashanthi, Climate Resilience of Coastal Cities Using Geographic Information Systems (GIS), E3S Web of Conferences, Volume 581, 01014 (2024).
  35. Gajula Ramesh, Optimizing Smart Grids with Advanced AI Algorithms for Real-Time Energy Management, E3S Web of Conferences, Volume 581, 01015 (2024).
  36. Dharmapuri Siri, Energy Harvesting from Waste Heat using Thermoelectric Generators, E3S Web of Conferences, Volume 581, 01027 (2024).
  37. Perumalla Varaprasada Rao, Solution of the Heat and Mass Transfer Problem for Soil Radiant Heating Conditions Using FIFTT, E3S Web of Conferences, Volume 581, 01041 (2024).
  38. Gundavarapu Mallikarjuna Rao, Analysis of the Thermal Regime of a Residential Building after Emergency Shutdown, E3S Web of Conferences, Volume 581, 01046 (2024).
  39. K. Butchi Raju, Non-destructive Thermal Monitoring of Temperature and Flow Rate of the Heat Carrier, E3S Web of Conferences, Volume 581, 01049 (2024).
  40. Dharmapuri Siri, Environmental Impact Assessment of Biofuel Production: A Life Cycle Analysis, E3S Web of Conferences, Volume 588, 01002 (2024).
  41. Jajimoggala Sravanthi, Carbon Capture and Storage Optimization with Machine Learning using ANN, E3S Web of Conferences, Volume 588, 01003 (2024).
  42. Javvadi Lakshmi Prasanna, Synthesis and Characterization of Ultralong Co-Doped SnO₂ Nanowires, E3S Web of Conferences, Volume 588, 01004 (2024).
  43. Kodali Anuradha, Incorporating Sustainable Development Goals (SDGs) into Building Environment-Related Business Models, E3S Web of Conferences, Volume 588, 01005 (2024).
  44. Bh. Prashanthi, Bioinspired Synthesis of Gold Nanoparticles for Enhanced Anti-Cancer Activity, E3S Web of Conferences, Volume 588, 02006 (2024).
  45. Rajireddy Soujanya, Optimizing Energy Distribution in Multi-Building Complexes Using Thermal Storage Systems, E3S Web of Conferences, Volume 588, 03009 (2024).
  46. Ashlin Deepa R. N., Electronic and Structural Analysis of TMD/BP Heterostructures, E3S Web of Conferences, Volume 588, 03011 (2024).
  47. Y. KrishnaBhargavi, Incorporation of Titanium Carbide Nanoparticles into Epoxy Resin Composites, E3S Web of Conferences, Volume 588, 03012 (2024).
  48. Gajula Ramesh, Synergistic Effect of Graphene and Boron Nitride on the Electrical Conductivity and Mechanical Properties of Hybrid Polymer Composites, E3S Web of Conferences, Vol. 588, 03013 (2024), Euro-Asian Conference on Sustainable Nanotechnology, Environment, & Energy (SNE2-2024).
  49. Kathi Chandra Mouli, Effect of Recycled Concrete Aggregates, Sisal Fibres, and Carbon Nanofibres on the Mechanical Properties of Concrete, E3S Web of Conferences, Vol. 588, 03007 (2024), Euro-Asian Conference on Sustainable Nanotechnology, Environment, & Energy (SNE2-2024).
  50. B. Rajalakshmi; Seema Garg; R. S. Sengar; Manish Gupta; Mustafa Abdulhussein Al-Allak; N. Sirisha; Takkellapati Venkata Suneetha, Orbiting Innovation with the Impact of Dedicated Satellite Missions on Remote Sensing Capabilities, 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, pp. 616–623.
  51. Vijilius Helena Raj; Shubhra; Taqi Mohammed Khattab Al-Rubaye; Dharmapuri Siri; N. Sirisha; Amit Dutt, Enhancing Strategic Marketing with AI-Driven Insights into Dynamic Preferences and Decision Patterns, IC3 2025, Mathura, India, pp. 624–630.
  52. Rakesh Chandrashekar; Amandeep Nagpal; R. S. Sengar; Ali Albawi; Jajimoggala Sravanthi; N. Sirisha; Komal Agrawal, Emotion Driven Generative Systems for Enhancing Creative Expression Through Technology, IC3 2025, Mathura, India, pp. 631–636.
  53. Asha Rani Borah; Ali Abdulhussein Hameed; H. Pal Thethi; Javvadi Lakshmi Prasanna; A. Sangeetha; Desh Deepak Gautam, ViT and RNN for Temporal and Spatial Analysis in Video Sequences, IC3 2025, Mathura, India, pp. 651–656.
  54. V. S. Anusuya Devi; Prabhakar Agrawal; R. S. Sengar; Amandeep Nagpal; Tamam Ali Abd Ulabbas Abedi; Kathi Chandra Mouli; A. Sangeetha, Designing Intuitive User Interfaces in Human-Computer Interaction for Enhanced Digital Experience, IC3 2025, Mathura, India, pp. 637–643.
  55. Gurulakshmi A. B.; Gummgatta Yajaman Vybhavi; Jay Singh; Kumar Prashant; K. Srinija; Fatimah Dhari Jabbar; Lavish Kansal, Employing Machine Learning to Drive Innovative Strategies for Enhanced Organizational Performance, IC3 2025, Mathura, India, pp. 801–807.
  56. Alok Jain; Taqi Al-Rubaye; R. S. Sengar; Bhukya Balakrishna; Narendra Kumar; Rajireddy Soujanya; Gopal K., Solving Differential Equations with Advanced Algorithmic Techniques, IC3 2025, Mathura, India, pp. 644–650.
  57. G. Ramesh, Impact Assessment and Mitigation Strategies for Plug-in Electric Vehicles on Distribution Networks: A Probabilistic Approach, 2024 7th International Conference on Contemporary Computing and Informatics (IC3I), Greater Noida, India, 2024, pp. 633–637.
  58. G. Ramesh, Optimizing Wind Turbine Placement for Enhanced Energy Production Using Modified Genetic Algorithm, 2024 7th International Conference on Contemporary Computing and Informatics (IC3I), Greater Noida, India, 2024, pp. 638–642.
  59. G. Ramesh, Enhancing Smart Grid Efficiency Through Innovative Data Management and Analytics for Demand Energy Management, 2024 7th International Conference on Contemporary Computing and Informatics (IC3I), Greater Noida, India, 2024, pp. 643–649.
  60. Priyanka Shukla; Rajesh Gundlapalle; Ashlin Deepa R N; K. Srinija; Baydaa Fathil Mohammed; Manish Gupta, Transforming Multinational Enterprises in a Fragmented World: The Intersection of Industry 4.0 Technologies and Geopolitical Dynamics in Finance and Operations, 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, 2025, pp. 670–676.
  61. Karthiyayini J; Y. Krishna Bhargavi; Sorabh Lakhanpal; Amit Kumar Sharma; Ali Saeed; E.N. Vijaya Kumari, Optimizing Security Protocols for IoT in Healthcare to Ensure Privacy in Smart Patient Monitoring Systems, 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, 2025, pp. 677–683.
  62. Rusul Najm; Neeta Awasthy; E.N. Vijaya Kumari; Sorabh Lakhanpal; Tarunika Sharma; Anurag Singh; Bh. Prashanthi, Pioneering Privacy-First Approaches in IoT Healthcare with Secure Wearable Monitoring Systems, 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, 2025, pp. 684–690.
  63. Avneesh Kumar; Neeta Awasthy; A. Sujin Jose; Gajula Ramesh; Manish Gupta; K. Srinija; Rusul Najm, The Intersection of Algorithms, Automata Theory, and Formal Languages in Computational Theory, 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, 2025, pp. 691–697.
  64. Jayasheel Kumar; Deepak Kumar Soni; Ginni Nijhawan; Krishna Chythanya Nagaraju; Tamam Ali Abd Ulabbas Abedi; P. Subhashini, Hybrid Machine Learning and Deep Learning Models for Mental State Classification Using EEG and ECG Signals, 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, 2025, pp. 698–704.
  65. Pragya Agarwal; B. Ravali Reddy; Sarah Abbas Shakir; Hemanth Raju; B. Geetha Kumari; Lavish Kansal, Semantic Attribute Mapping for Zero-Shot Object Classification in Deep Learning Networks, 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, 2025, pp. 757–762.
  66. Uma Reddy; Sorabh Lakhanpal; Jay Singh; Talari Meena; Sarah Abbas Shakir; G. Sakthi; Lohitha Mallireddy, Advanced Comparative Analysis of Time-Frequency Signal Processing Techniques and Machine Learning Models for Optimized Biomedical Classification, 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, 2025, pp. 719–724.
  67. Swathi B; Manish Gupta; Nemala Jayasri; Rusul Najm; R. Radhika; Perumalla Varaprasada Rao, Adaptive Independent Component Analysis for Blind Source Separation in Multi-Speaker Acoustic Environments with Enhanced Noise Resilience, 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, 2025, pp. 783–788.
  68. Anandhi R J; Lavish Kansal; Jay Singh; P. Subhashini; Fatimah Dhari Jabbar; R. Sathiya Priya; J. Lakshmi Prasanna, Enhancing Emotion Recognition from Speech Signals Using Deep Learning and Open-Source Datasets, 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, 2025, pp. 789–794.
  69. Manjunatha; Ginni Nijhawan; B. Veerasekhar Reddy; Rusul Najm; Maneesh Upadhya; Karibandi Venkata Sai Lakshmi Harika, Detecting Deceptive Narratives in Social Media Using Advanced Natural Language and Signal Processing Techniques, 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, 2025, pp. 795–800.
  70. Nemala Jayasri; Santosh Kumar B; Navdeep Singh; Ajeet Singh; Taqi Mohammed Khattab Al-Rubaye; Mallikarjuna Rao, A Hybrid Swarm Intelligence Model for Efficient Query Optimization in Distributed Databases Using Genetic and Ant Colony Algorithms, 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, 2025, pp. 1–6.
  71. P. Subhashini; Veeresh G; Sorabh Lakhanpal; Nidhi Sharma; Hazim Y. Saeed; Rajireddy Soujanya, Dynamic Knowledge Graph Construction for Real-Time Natural Language Understanding in Autonomous Systems, 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, 2025, pp. 843–848.
  72. Gundavarapu M. R.; Reddy A. S.; Bhavani K. D.; Divya B.; Sreeja L.; Dyuti M., A Synthesis of Approaches in Sign Language Communication Research: Trends and Future Directions, Advanced Network Technologies and Computational Intelligence (ICANTCI 2024), CCIS, vol. 2382, Springer, Cham, 2025.
  73. Prashanth Ragam; Bhavitha Gorantla; Sonakshi; Yasaswini Eshtamsetti; Sayanatika Maji; Danaveni Pavithra, Determination of Brain Tumors with Neural Networks and CT Scan Imagery, 2024 2nd International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC), Hyderabad, India, 2024, pp. 93–97.
  74. H. Chilupuri, G. Ramesh, J. Praveen and V. Gude, “AI-Powered Advertisement Design: A PIL-Based Approach for Quality and Performance Analysis,” 2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), Bangalore, India, 2025.
  75. S. M. Naveen Raja, K. Maithili, C. Sravani, K. Sanjeev Kumar Shah, “Rice Plant Disease Identification Using Deep Learning Models – A Survey,” 15th International Conference on Materials Processing and Characterization, 2023, Newcastle, England.
  76. Ashlin Deepa R. N., “A Review on Automated Annotation System for Document Text Images,” 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU), 2024.
  77. Ashlin Deepa R. N., “Synthetic Data Generation for Document Text Recognition,” 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU), 2024.
  78. Ashlin Deepa R. N., “An Intelligent Invoice Processing System Using Tesseract OCR,” International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS), 2024.
  79. Harika Venkata Sai Lakshmi Karibandi et al., “Gesture Prognosis: Interactive Sign Language Learning Using Real-Time Gesture Recognition,” 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS), 2024.
  80. Virlapally Jyothi et al., “Decoding Tumor Gene Expression for Multiclass Cancer Classification,” International Conference on Electronics and Renewable Systems (ICEARS), 2025.
  81. Neelima Gogineni; M. S. Saravanan, Ecological Development of a Novel Machine Learning Technique for Electricity Consumption and Cost Prediction in Cloud Computing, Electronic Governance with Emerging Technologies (EGETC 2024), Communications in Computer and Information Science, vol. 2245, Springer, Cham.
  82. K. Swetha; Neelima Gogineni; G. Srinivas, Cyclone Intensity Estimation Based on Deep Learning Using INSAT-3D IR Image, 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud).
  83. M. Devi; A. K. Rai; A. R. Reddy; Neelima Gogineni, Deep Learning Techniques for Overcoming Interoperability Challenges in Smart Grid Systems, 2024 International Conference on IoT, Communication and Automation Technology (ICICAT).
  84. Mukul Mishra; Aman Mittal; Gaurav Singh Negi; Preetjot Singh; Savinder Kaur; Srinivas V, Green Synthesis of Nanocomposite Membranes for Sustainable Water Filtration, E3S Web of Conferences, vol. 547, 01022 (2024).
  85. Aman Mittal; Rajesh Deorari; Sakshi Pandey; Ravi Kumar; Srinivas V, Characterization of Advanced Nanomaterials for Sustainable Energy Applications, E3S Web of Conferences, vol. 537, 07012 (2024).
  86. D. Kumar; K. Punnam Chandar; N. Malik; K. Balasubramanian; D. Suganthi; G. Charles Babu, Enhanced Detection of Kidney Stones Using Level Set Segmentation and Kernel-ELM, 2024 International Conference on Data Science and Network Security (ICDSNS), Tiptur, India, pp. 1–6.
  87. M. S. Manavadaria; S. D.; R. Rajamohanan; N. P. S.; V. M. Agone; G. Charles Babu, Automated Detection and Alerting System for Wheat Leaf Diseases Using the VGG16 Deep Learning Model, 2024 International Conference on Data Science and Network Security (ICDSNS), Tiptur, India, pp. 1–5.
  88. K. Arunkumar; S. S. Kumar; S. R. Vulapula; M. Inayathulla; N. Venkatesh; G. Charles Babu, Enhancing the Security and Integrity of Intrusion Detection Systems Based on CNN and LSTM Approach for Cloud Computing, 2024 5th International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, pp. 1967–1972.
  89. U. R.; S. Raha; A. Thangam; A. S. Bhongade; S. Kundu; G. Charles Babu, A Novel Approach to Predict Flight Fares in India Using SOM-LSSVM Model, 2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC), Bengaluru, India, pp. 1–6.
  90. B. Maram; A. Mandale-Jadhav; R. Pilli; N. Sharma; J. K. Gutla; G. Charles Babu, Enhancing Cryptographic Security through Recurrent Neural Networks, 2024 5th International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, pp. 468–474.
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