Computing, Communication and Intelligence

1. Hybrid Social Spider and Grey Wolf Optimization for Enhanced Lifetime in
Wireless Sensor Network
S. Padma Priya, S. Pavalarajan
2. A Comparative Study of Explainable Artificial Intelligence Algorithms in Local
Interpretable Model-Agnostic based Pneumonia Prediction
Niranjan Panigrahi, Suresh Jha
3. HERPEE: Hybrid Energy-Aware Routing Protocol with Energy Estimation in
IoT-Based Sensor Networks
Rabindra Kumar Shial, Premanshu Rath, Sudhir Ranjan Pattanaik and
Umashankar Ghugar
4. High-Accuracy Face Mask Detection in Nuclear Environments using Ensemble
Learning and XGBoost
Satya Ranjan Panda, Anuradha Rani Choudhury, Ashis Kumar Mishra,
Sambit Pattanaik, Rakesh Kumar Sen and Nitish Upadhyay
5. Contouring the Images of Lung Cancer Detection using CNN
Anitha S., Mohamed Ajmal M., Nithin A. B., Giridhar S.,
Pradhakshina M. and Chandrasekaran V.
6. Improving the Accuracy of Used Car Price Prediction Using Machine Learning Models
Nandhini P. S., Madhurajyothi V. K., Mahaprabhu S., Jessica S. and Malliga S.
7. Leveraging Fractal Patterns in Machine Intelligence to Classify Brain Tumor Imaging
Supriya Lenka and Sateesh Kumar Pradhan
8. An Extreme Gradient Boosting Based Automated Software Defect Prediction Model Using
Dimensionality Reduction Technique
Aryant Kumar, Akshat Singh, Amit Kumar Nayak, Samyam Prakash,
Debasish Pradhan and Jayanta Kumar Mishra
9. Optimum Rectangular Dielectric Resonator Antenna for Sub-6GHz in Rapid 5G
Communication Networks
Rudra Prasad Nanda, Hrudananda Pradhan and Rasmita Sahu
10. Load Balancing in Cloud Computing Using Modified ANT Colony Algorithm
Yogasambhuta Dash
11. A Case Study of the Application of Deep Learning to Detect Skin Cancer
Salim Amirali Jiwani, Jitendra Kumar Gadia, Jemarani Jaypuria,
Soumya Ranjan Mohapatra and Umashankar Ghugar
12. Machine Learning Approach for Image Caption Generation
Subasish Mohapatra, Jyoti Ranjan Nayak, Samita Bala Routray,
Devismita Sahoo and Subhadarshini Mohanty
13. Intelligent System for Corrosion Detection and Prediction System Using Deep Learning
S. Archie Dora, Aruna Kumar Panda, Sidhartha Sankar Dora, Shashi Bhusan Panda,
Prasanta Kumar Swain and Dattatreya Tripathy
14. Decentralized Brain Tumor Detection using Transfer Learning in Federated Frameworks
Rashmi Ranjan Maharana, Rashmi Ranjan Sahoo, Dinesh Kumar Dash and T. Mita Kumari
15. IoT based Anti-Collision Devices for Indian Railway: Insights to Implications
Amrita Dash and Abhishek Barua
16. Deep Learning Based Face Recognition System with Modified MTCNN and FaceNet
Abinash Kumar Pala, Sandipan Mallik, Manish Tripathy, Rashmi Ranjan Sahoo,
Raghunandan Swain and Dinesh Kumar Dash
17. Developing Encryption Strategies and Key Management Protocols that Ensure Security in
Dynamic Graph Networks through the Utilization of Asymmetric Cryptography
Yashmin Banu, Biplab Kumar Rath, Debasis Gountia and Naresh Kumar
18. Advanced Wearable Sensors for Early Parkinson’s Disease Tremor Detection using
Accelerometers and Gyroscopes
Mahaadevan Manasa, Dhayanidhi Prabhu, Madhavan Bharanidivya and
Samiappan Dhanalakshmi
19. Enhancing MNIST Digit Classification Through Integrated Machine Learning and XAI
Approaches
Rekha R. Nair, Deepika Nayak, A. Syed Khwaja, Pallavi K. and Mitikiri Karthik
20. Predicting Heart Disease using High Utility Itemsets Mining with an Enhanced Swarm
Intelligence Model 96
Yogesh Juyal and Sonal Sharma
21. New Era of Pre Computation for Big Data Handling with Graph and Vector Databases
Rojalin Mallick, Pranati Mishra, Meenakshi Kandpal and Jyotirmayee Rautaray
22. Harmony AI: A Web-Based ML Model for Hand Sign Language Translation
Aniket Saraf, Niyati Sahoo, Pranati Mishra, Jyotirmayee Routray and
Meenakshi Kandpal
23. Implementation of Super AI in the Automation of Examination System for Academic
Enrichment: A Complete Learning for Tomorrow
Bhabani Sankar Ratha and Kailash Chandra Nayak
24. Bio-Inspired Real-Time Facial Emotion Detection using Yolov11
Rajasmita Kar, Tapas Kumar Choudhury,
Rajendra Prasad Panigrahi and Jibitesh Misha
25. Time-Series based Drug Efficiency and Side-Effect Prediction: Leveraging Machine
Learning for Enhanced Drug Safety and Personalized Medicine
Rayaguru A. K. Das, Prasanjit Das, Kartick Swain and Tapas Kumar Choudhury
26. Intelligent Systems with Cloud IoT Integration: A Synergistic Approach for Enhanced
Decision-Making
Gyana Prakash Bhuyan and Bibhu Kalyan Mishra
27. Leveraging AI for Enhanced Credit Scoring in Financial Services
Chandan Kumar Barik, Barsha Panda and Amiya Kumar Sahoo
28. Enhanced Dermoscopic Image Analysis for Skin Cancer Detection Using Transfer Learning
Nadip Kumar Jena, Rajalaxmi Padhy and Manoj Kumar Sahu
29. Smart Intelli Secure-Based LPG and Fire Safety System with Automatic Door Control
Vijayalakshmi M., Sivaranjan P.G. and Krithick Balaji Ramesh
30. Convolutional Neural Network Approach for Grape Leaf Disease Classification
Prateek Mahapatra and Madhumita Panda
31. High-Efficiency Optical Polarizer using Silicon based 2D Device for Photonic
Integrated Circuits
Dipan Kumar Dey, Bibhu Prasad, Gopinath Palai and Partha Sarkar
32. GPT-4-Powered Medical Recommendation System using SNOMED
Satyajit Mohapatra, Jibitesh Mishra, Sanjit Kumar Dash and
Kumar Janardan Patra
33. Deep Q-Network-Based Self-Healing for Enhanced UE Experience in 5G Networks
Chittaranjan Panda, Jibitesh Mishra, Sanjit Kumar Dash and Kumar Janardan Patra
34. Machine Learning Applications in Predicting the Disease Progression in Diabetes Patients:
A Comprehensive Exploration
Subhasis Mohapatra and Sweta Samantaray
35. A Crop Recommendation System with High Accuracy Utilizing Ensemble Machine
Learning Techniques
Khirod Kumar Ghadai, Subrat Kumar Nayak and Biswa Ranjan Senapati
36. Leveraging Transfer Learning for Enhanced Handwritten Digit Recognition using
EfficientNet and Fine-Tuned CNN
Sarvesh Kumar Soni, Namrata Dhanda and Satyasundara Mahapatra
37. Efficient Task Scheduling Algorithm Based Load Balancing in Cloud Computing
Satyaranjan Mishra, Arabinda Pradhan and Prasanta Kumar Bal
38. Automation in Healthcare: A Robotic Approach for Patient Registration, Vital Sign
Tracking, and Chatbot Interaction
Sayantan Panda, Sankhadeep Dutta, Gowtham Ammanamanchi and
Samiappan Dhanalakshmi
39. Energy Optimization of LoRa Networks of Smart Building using Machine Learning
Sidhartha Sankar Dora, Dibyajyoti Praharaj, Shubhanarayan Barik, Jasabanta Jena,
Shashi Bhusan Panda and Prasanta Kumar Swain
40. Characterizing Serverless Workloads in Production
Abhish Kumar Anand and Bibhudatta Sahoo
41. SMOTETomek Enriched GWO: A Hybrid Approach for Diabetes Disease Prediction
Veeravalli Kavya Sree, Peddapally Sai Ridhi, Rajidi Likitha Reddy, Bibhuprasad Sahu,
Amrutanshu Panigrahi and Abhilash Pati
42. Utilizing Machine Learning to Enhance Agronomic Practices and Crop Yield Prediction
Laxmipriya Mallik, Durga Prasad Behera, Monalisha Sahoo, Tapas Kumar Swain,
Suvendra Kumar Jayasingh and Getachew Mekuia Habtemaiam
43. Lung Cancer Detection using Machine Learning: A Comprehensive Approach with
Logistic Boosting Model Accuracy
Tapas Kumar Swain, Sonali Priyadarshini Mohapatra, Durga Prasad Behera,
Kamalakanta Rout, Alok Ranjan Tripathy and Suvendra Kumar Jayasingh
44. IoT Assisted Novel Anti-Collision Warning System for Indian Heavy Commercial Vehicles
Amrita Dash and Abhishek Barua
45. A Systematic Review of Computational Intelligence Approaches for Improving
Communication and Security in Vehicular Adhoc Networks
Sudheer Nidamanuri and Rajesh E.
46. Harnessing LSTM Networks for Predictive Analysis in Stock Market Dynamics
Jaishree Jain, Pawan Kumar, Sharvan Kumar, Mani Dublish and Vinod Kumar
47. Harnessing Deep Learning and Transfer Learning for Gemstone Classification and
Authenticity Analysis
Swetha M. and Sangeetha J.
48. Advancing Land Use and Land Cover Classification Through Deep Learning in
Satellite Imagery
Prithiviraj Rajalingam, Akshika Singh, Dron Kaustub, Kanika Tandon and
Harisudha Kuresan
49. Deep Learning Based Classification of Bone Fracture: A Vision Transformer-CNN Approach
Hrishikesh Keraba Lohar and Sangeetha J
50. Multi-Class Disease Detection for Sugarcane Leaf using CNN and Transfer Learning Approach
Nidhi G. D. and Sangeetha J.
51. Identification of Key Environmental Factors Affecting Atmospheric Corrosion of
Mild Steel Using Machine Learning Techniques
Amulya Bihari Pattnaik, Ashutosh Patra, Sumanta Mahanta and Anwita Anushree
52. Integrating CNNs and Vision Transformers for Enhanced Pneumonia Detection in
Radiographic Images
Anusha M. and Sangeetha J
53. Enhanced Food Quality Detection using CNN Architectures
Akash Dixit, Deepak Gupta and Satyasundara Mahapatra
54. ABC-LNN: A Hybrid Task Scheduling and Load Balancing Approach Leveraging
Artificial Bee Colony with Liquid Neural Networks in Cloud Computing
Nihar Ranjan Sabat and Rashmi Ranjan Sahoo
55. Energy Efficiency in Wireless Sensor-based Internet of Things: An Experimental Analysis
Akshaya Kumar Barik, Pragyan Paramita Das, Jayashree Piri, Prasant Kumar Dash and
Biswaranjan Acharya
56. Transfer Learning based ResNet50 Model for Emotion Detection
Subhashree Bhanjadeo, Suvendra Kumar Jayasingh, Dina Darwish,
Raghunath Panigrahi and AliazarDeneke Deferisha
57. Evaluating the Performance of RCNN Variants for Multi-Object Analysis in Images
Debika Rani Sahu, Abinash Kumar Pala, Sandipan Mallik, Rashmi Ranjan Sahoo,
Raghunandan Swain and Dinesh Kumar Dash
58. Encoded Feature Fusion-Based Pneumonia Detection using Ensemble Federated Approach
Pratyush Panda and Subhalaxmi Das
59. IoT-integrated Water Quality Surveillance and Smart Feeding for High-Density Pisciculture
Sustainability
Akash S., Sampurna Sahoo and Vijayalakshmi M.
60. Enhancing Cardiovascular Risk Prediction with Optimal Performance of Random
Gradient Ensemble Model
Kartick Swain, Swagatika Sahoo, Dibyalaxmi Priyadarshini and
Suvendra Kumar Jayasingh
61. Inertia Weight Strategies with Time Variations in PSO-based Cloud Task Scheduling
Algorithm
Roshni Pradhan and Amiya Kumar Dash
62. AI-Powered Digital Signages Management System: A Revolution in Digital Marketing
Amit Kumar and Jay Mandaliya
63. A Particle Swarm Optimization Based Neural Network Model for Tourism
Machination System
Anita Mohanty, Satyabrat Sahoo, Rasmita Kumari Mohanty, Santosh Kumar Meher,
Satya Prakash Sahoo, Manas Ranjan Kabat and Basim Alhadidi
64. Neuralink Unleashed: Navigating the Intersections of Technology, Humanity, and Nature
Riya Chauhan, Kapish Goel, Shashank Sahu and Jaishree Jain
65. Predication of Solar Still Production Rate using Artificial Neural Network and Step
Regression Model
Amiya Kumar Sahoo, Prakash Kumar Dehury, Vidya Mohanty, Mesfin Abebe and
Chandan Kumar Barik
66. A Blockchain Enable Technology for IoT Based Applications for Enhancing the
Security and Transparency
Monalisa Kar, Ashish Kumar Mohanty, D. Chandrasekhar Rao and
Manas Ranjan Kabat
67. Heart Stroke Prediction Using Machine Learning Approach with Clinical and
Demographic Factors
Sonali Priyadarshini Mohapatra, Tapas Kumar Swain, Kamalakanta Rout,
Kiran Kumar Sahu, Alok Ranjan Tripathy, NikZulkarnaen Khidzir and
Suvendra Kumar Jayasingh
68. Malaria Detection from Blood Smears Using Deep Learning Frameworks
Y. C. A. Padmanabha Reddy, Koushik Reddy Anumula and Joshua Murray
69. Deep Learning-Based Stock Forecasting and Recommendation System using a Hybrid
TCN-LSTM Approach Incorporating Fundamental and Technical Analysis
Manju D., Mule Laxmidevi Ramanaiah, S. R. Anand Kumar, Vamshi Polysetty, Aravind Telugu,
Jayanand M., Guru Praneeth Tallam Chinthala, and Rasmita Kumari Mohanty

Biography

Srinivas Sethi

Prof. Srinivas Sethi is a professor in Computer Science Engineering & Application, Indira Gandhi Institute of Technology, Sarang (IGIT, Sarang), India, and has been actively involved in teaching and research since 1997. He did his Ph.D. in the area of routing algorithms in mobile ad hoc network and is continuing his research work in the wireless sensor network, cognitive radio network, cloud computing, BCI, and Cognitive Science. He is a member of the Editorial Board for different journal and program committee members for different international conferences/ workshops. He is book editor of 4 international conference proceedings published in Springer and Taylor & Francis. He has published more than 100 research papers in international journals, edited book chapters, and conference proceedings. He also published 2 nos. of Books. He completed 8 numbers of research and consultancy projects funded by different funding agencies such as DRDO, DST, AICTE, NPIU, and local Govt. office.

Bibhudatta Sahoo

Prof. Bibhudatta Sahoo is a computer science professor at NIT Rourkela, India, specializing in Algorithmic Engineering, Distributed Systems, Cloud Computing, Fog/Edge Computing & IoT, and Software Defined Networks/NFV. With a wealth of knowledge and expertise in these areas, Prof. Sahoo is at the forefront of cutting-edge research and innovation. Their research focuses on developing efficient algorithms and designing scalable distributed systems to address the challenges posed by modern computing paradigms such as cloud computing, fog/edge computing, and IoT. Driven by a passion for advancing the field, they have significantly contributed to developing software-defined networks and network function virtualization. Through their research, publications, and mentorship, Prof. Sahoo has inspired and empowered countless students, fostering a new generation of computer scientists equipped with the skills to tackle complex problems in the rapidly evolving world of technology.

Deepak Tosh

Prof. Deepak Tosh (Senior Member, IEEE) is an assistant professor of Computer Science at the University of Texas at El Paso. His research focuses on addressing various multi-disciplinary networking and cybersecurity challenges associated to critical national infrastructures, Industrial Internet of Things, Blockchain, and tactical battlefields. He works closely with researchers from U.S. Air Force Research Laboratory (AFRL), Sandia National Lab, and Army Research Laboratory (ARL) on developing resilient data/process provenance mechanisms for industrial operational technology environments, and military applications. His research has been funded from Department of Energy, National Science Foundation (NSF), and Department of Defense. He has authored/co-authored more than 70 peer-reviewed conference papers, book chapters, and journal papers. Two of his research works on Blockchain were also awarded as “Top 50 Blockchain Papers in 2018” at Block chain Connect Conference, 2019. He is also a recipient of prestigious NSF CAREER award, 2022.

Suvendra Kumar Jayasingh

Dr. Suvendra Kumar Jayasingh is working as Associate Professor and HOD in the Department of Computer Science & Engineering, Institute of Management and Information Technology (IMIT), Cuttack (A Constituent College of BPUT, Govt. of Odisha) after being selected by OPSC (Orissa Public Service Commission) in 2005. He has obtained his Bachelor of Engineering in the year 2003 from University College of Engineering (UCE), Burla (Now VSSUT). He got his M. Tech. in Computer Science & Engineering in 2007 from RVU, Udaipur and Ph. D. in Computer Science & Engineering in 2020 from North Orissa University, Baripada. He is having more than 20 years of teaching experience in Computer Science & Engineering and MCA. He has published several articles, book chapters in reputed National and International journals and periodicals including Springer and Taylor & Francis and has presented research papers in National and International Seminars and Conferences. He has organized many National and International Conferences and FDPs in collaboration with IITs, NITs and NITTTRs. His research interests include Artificial Intelligence, Data Mining, Soft Computing, Machine Learning, Computational Intelligence, Database Management System and Algorithm Analysis and Design. He has published book on “Introduction to Machine Learning”, by Taran Publication, New Delhi, edited books on “Computing, Communication and Intelligence”, “Intelligent Computing Techniques and Applications” by CRC Press, Taylor & Francis, UK patent on “Smart Home Air Quality Monitoring Device” and Indian Patent on “AI based Diary Products Testing Device”. He is a life member of Indian Society for Technical Education (ISTE).

Sourav Kumar

Bhoi Prof. Sourav Kumar Bhoi (Sr. Member, IEEE and Member, ACM) completed his Doctoral (2017) and M. Tech. (2013) degrees from Department of Computer Science and Engineering, National Institute of Technology (NIT), Rourkela, India respectively. He completed his B. Tech (2011) from Dept. of CSE, Veer Surendra Sai University of Technology, Burla India. He completed his PDF (2023) research work from Srinivas University, India in CS&IS programme. He is currently working as Assistant Professor since 2016 in Dept. of CSE, Parala Maharaja Engineering College (a Govt. college affiliated to BPUT), Berhampur, India. His research interest includes Vehicular Networks, Internet of Things, Edge and Fog Computing, Machine Learning, and Information Security. He has nearly 10 years of teaching and research experience. He published nearly 130+ research publications in reputed International Journals and Conferences. He published 09 books/book chapters as author/co-author and 03 Indian Patents. He received nearly 10+ State/National/ International Awards for his research works such as prestigious IET Premium Award 2016, India Book of Record Holder 2022, BPUT-University Faculty Research Award 2021, ISTE-Rajalaxmi Award for Best Engineering College Teacher Award of Odisha State 2022, Institution of Engineers (IEI)-Sadananda Memorial Award 2021, Institution of Engineers (IEI)-JN Panda Memorial Award 2024, PDF Researcher with Good performance Award 2023, etc. He also completed one MHRD, Govt. of India research project on Smart Irrigation & continuing with one Project of AICTE, Govt. of India. He also acts as reviewer for many reputed organizations such as IEEE, IET, Elsevier, Springer, MDPI, Hindawi, Wiley, Taylor and Francis, etc. He guided nearly 80+ B.Tech students, 03 PG students, 01 PhD scholar awarded with Ph.D. degree, and currently guiding 03 Ph.D. scholars in new recent areas of Computer Sci. and Engg. He also acts as Faculty In-charge/Member of many administrative level sections/committees at institute and dept.