Intelligent Computing Techniques and Applications

1 An SRR metamaterial for focusing enhancement of W-band lens antenna for microwave
imaging
Debapriya Nilakantha Padhy, Bajra Panjar Mishra, Sudhakar Sahu, Sakambari Mishra,
Subhranshu Kumar Singh and Sudhanshu Bhusan Kar
2 Development of a visitor tracking system for tourist areas to monitor crowd density, peak
hours and visitor demographics
Anshuman Sahoo, Ajay Kumar Yadav, Rana Sujeet Kumar, Jyoti Ranjan Swain,
Adyasha Panda and Saswat Gaudu
3 A study on extending IoT applications in multiprocessing agricultural systems
G. Sophia Reena, R. Jeevitha, S. Hemalatha and O. Sujitha
4 A novel approach for mask face detection using convolutional neural network
Ram Gopal Sharma, Hitendra Garg and Law Kumar Singh
5 Enhancing 5G network management through association rule mining: Uncovering network
traffic patterns 19
Sushanta Meher, Bijayini Mohanty, Bharat Jyoti Ranjan Sahu, Santilata Champati,
Swadhin Kumar Barisal and Shatarupa Dash
6 A binarization method for Odia palm leaf manuscripts by using the Odia language
accelerator model
Aloka Natha, Bichitrananda Behera and Nishanta Ranjan Nanda
7 FRMM-LSTM multimodal fusion based caption recurrent network for vision analysis
Harapriya Kar, P. Viswanathan, Bajra Panjar Mishra and K. S. Kuppusamy
8 Convolutional neural network-based classification of potato leaf diseases
Prateek Mahapatra and Madhumita Panda
9 Content-based deep neural image retrieval system for remote sensing images
Sai Bhargav Kasetty, B. Gouthami, Sravani Nalluri, Rajesh Kumar Ojha, Issac Neha Margret
and K. Rajakumar
10 Modelling non-linear time series data using deep learning techniques
Masrath Parveen, Mohammed Ali Shaik, Nanditha Boddu, Akheel Mohammad,
Udaya Kiran Mandhugula and Vupulluri Sudha Rani
11 Intelligent strategies for the techno-economic evaluation of large-scale energy storage
integrated hybrid power systems
Ashribad Pattnaik, Alpesh Kumar Dauda, Ambarish Panda and Kathleen B. Aviso
12 Revolutionizing cancer diagnosis using machine learning techniques
Amiya Kumar Sahoo, Sucharita Prusty, Ashish Kumar Swain and Suvendra Kumar Jayasingh
13 An ensemble approach for heart disease prediction
Avishek Mishra, Gopal Behera, Basanta Ku. Swain, Binayak Panda and Monalisha Sahu
14 Hierarchically vectorized algorithmic paradigm for probabilistic node localization and
pervasive threat detection in synthetically optimized WSN-assisted IoT architectures
Sudheer Nidamanuri, Balingan Sangameshwar, U. Ganesh Naidu, Balu Srinivasulu,
Syed Muqthadar Ali and Mummalaneni Rajasekar
15 A six element antenna array for 5G application
Sarmistha Satrusallya, Shaktijeet Mahapatra, Sharmila, K. P. and Mihir Narayan Mohanty
16 Experimental investigation on semantic communication system for speech signal based on
deep learning approach
S. K. Singh, J. Mehena, S. B. Kar, S. Rout, B. Behera and P. K. Mahapatra
17 Enhanced convolutional block attention decision Transnet for efficient IoT-driven patient
monitoring and heart disease detection
Dibas Kumar Hembram, Satya Narayan Tripathy and Debabrata Dansana
18 Enhancing healthcare accessibility: An AI-powered chatbot for symptom analysis and
precautionary guidance
P. Devika, Balingan Sangameshwar, V. T. Ram Pavan Kumar M., Ch. Lavanya Susanna,
Shaik Munawar and Sudheer Nidamanuri
19 Flood prediction model using LSTM and SVM
Abhipsa Mahala, Ashish Ranjan, Sayari Bhaumik, Ashmita Rani and Avantika Kumari
20 Real time face mask detection in nuclear power plants: A deep learning framework using
hybrid CNN-mobileNetV2 architecture
Satya Ranjan Panda, Anuradha Rani Choudhury, Ashis Kumar Mishra, Surajit Mohanty
and Satyajit Mishra
21 Object detection and trajectory prediction using faster RCNN and Kalman filter
Chandrangshu Sarkar, Jitendra Parmar, Gopal Behera and Manoj Dhawan
22 A genetic algorithm-optimized hybrid CNN-LSTM for robust EEG seizure detection and
adversarial defense
Kadamati Dileep Kumar, Sachikanta Dash, Rajendra Kumar Ganiya and
Pratap Chandra Pradhan
23 Utilization of deep learning and machine learning models to approach high glucose and
low glucose prediction with type 1 diabetes mellitus in adult patients
Aditya Prasad Pattnayak, Soumya Ranjan Mishra, Sachikanta Dash and Aparna Baboo
24 Asthma risk prediction through stacking-based ensemble learning
Kumar Janardan Patra, Sanjit Kumar Dash, Jibitesh Mishra, Rajendra Prasad Panigrahi,
Surajit Mohanty and Subhasis Mohapatra
25 Predicting diabetic patients coronary artery calcium score, deep learning using retinal images
Lingaraj Rath, Soumya Ranjan Mishra, Sachikanta Dash, Pratap Chandra Pradhan and
Aparna Baboo
26 Modelling and performance analysis of a dexterous linkage-driven three-fingered
under-actuated robotic hand
Deepak Ranjan Biswal, Alok Ranjan Biswal and Uttam Kumar Tarai
27 Intelligent agriculture system using soft computing techniques
Sidhartha Sankar Dora, Prasanta Kumar Swain and Jibendu Kumar Mantri
28 Synthesis, structural and Raman study of Zn doped CuO nanoparticles
Harchand Tudu, Bikram Keshari Das and Tanushree Das
29 Immersive Learning in Ayurveda: Revolutionizing Dhatu Poshan Nyaya education through
AR/VR technologies
Prasant Kumar Dash, Tithi Singh, Tripti Singh and Sambit Kumar Pradhan
30 Combating food insecurity through remote sensing and machine learning for enhanced
crop yield prediction
Bhumisuta Khuntuli, Sachikanta Dash, Pratap Chandra Pradhan and Soumya Ranjan Mishra
31 PQ improvement with TLBO FOPID based SHAF
Alok Kumar Mishra, Jeevan Jyoti Mahakud, Shekharesh Barik, Pratap Kumar Sahoo,
Dipansu Ranjan Mohapatra and Akshaya K. Patra
32 GWO fuzzy PID controlled cuk and SEPIC converter based PFR
Alok Kumar Mishra, Pradip Kumar Nanda, Shekharesh Barik, Dipansu Ranjan Mohapatra,
Pratap Kumar Sahoo and Akshaya Kumar Patra
33 Enhancing web application security: A machine learning approach to firewall implementation
Gollapudi Mounika, N. Sunanda, Sathar G., V. Raghavendra Sai and K. Chandra Shekar
34 Combination of transition metal oxide into carbon nanofiber matrix for enhancement in
electrochemical performance of supercapacitor
Bibhuti Bhusan Sahoo, Bidyadhar Swain, Soumyaranjan Swain and Bibekananda Sundaray
35 Experimental investigation on detection of medical image edges using radial basis
fuzzy-neural network technique: A comparative analysis
S.B. Kar, J. Mehena, S.K. Singh, S. Rout,B. Behera and P. K. Mahapatra
36 Hybrid vision transformer and CNN-based model for efficient cotton leaf disease detection
Dhana Lakshmi Metta, Bidush Kumar Sahoo, Rajendra Kumar Ganiya and Sachikanta Dash
37 Sensitivity analysis based performance assessment of a MGWO based PID control approach
for regulating frequency in an interconnected power system
Debayani Mishra, Anurekha Nayak, Manoj Kumar Kar and Nayan Ranjan Samal
38 Real time garbage detection using CNN and YOLO algorithms
Dhanushiya, S., Navaneetha, K. and Vijayalakshmi, V.
39 A novel modified SCA-PID based load frequency control
Prashanta Kumar Tripathy, Pratap Chandra Pradhan, Manoj Kumar Kar and Jeyagopi Raman
40 Challenges and innovations in EV charging infrastructure: A focus on India’s path to
electrified transportation
Sushree Madhusmita Mishra, Anurekha Nayak, Nayan Ranjan Samal and Debayani Mishra
41 Utilization of areca fibre and bottom ash on geotechnical properties of expansive soil
Tapaswini Dash, Biplab Behera, Subham Priyadarshan and Jayashree Bhuyan
42 Nature-inspired metaheuristic algorithm optimized TIDN controller for frequency
management in networked power system with storage device and HVDC link
Sushanta Kumar Sethy, Pratap Chandra Pradhan, Manoj Kumar Kar and Binod Kumar Sahu
43 Effect of compression on floating ice-floe with an irregular porous seabed
Dumesh Meher, Sagarika Khuntia and Manas Ranjan Sarangi
44 Smart hotel automation system
Aman Goel, Jayanth Nair, Rishaan Yadav, Dhruv Veragiwala and Jeyasekar, A.
45 A novel hybridized method for moving object detection based on optical flow and edge
detection technique in a dynamic scene environment 206
Maheswar Mishra, Tusharkanta Samal, Manas Ranjan Mishra, Jnanaranjan Mohanty and
Kamalakanta Muduli
46 YOLO & ML based crack detection and strength prediction for structural health monitoring
of bridges
Surajit Mohanthy, Niva Tripathy, Shekharesh Barik, Rojalin Dash, Rajeev Agrawal and
Prabhu Prasad Nanda
47 Real-time vehicle accident detection using computer vision and deep learning
Rasmita Kumari Mohanty, Satyabrat Sahoo, Manas Ranjan Kabat, Satya Prakash Sahoo,
Piyush Mohapatra and Basim Alhadidi
48 Heuristic traffic management and load balancing techniques for wireless body area networks
Aishwarya Nayak, Tusharkanta Samal, Sunayana Das and Bhabendu Kumar Mohanta
49 Deep learning based optimized diagnostic model for diabetic retinopathy detection
Shekharesh Barik, Ramesh Kumar Mohapatra and Ratnakar Dash
50 Analyzing PM2.5 levels across diverse zones in Cuttack, Odisha
Jayashree Bhuyan, Aditya Prasad Das, Tapaswini Das and Subham Priyadarshan
51 Smart fitness tracker for exercise monitoring integrated with voice assistant
Karmajit Patra, Shekharesh Barik, Maheswar Mishra, Surajit Mohanty, Niva Tripathy and
Deepankar Rout
52 A systematic literature review of public sentiments on health initiatives: A case study of
COVID-19
Subhasis Mohapatra, Sudhir Kumar Mohapatra and Sweta Samantaray
53 High-quality image generation from text descriptions using stable diffusion: A machine
learning approach
Rasmita Kumari Mohanty, Maheswar Mishra, Satyabrat Sahoo, Satya Prakash Sahoo and
Manas Ranjan Kabat
54 Test scenario generation and optimization from UML behavioural diagrams
Kulshan Pattanaik and Prateeva Mahali
55 Hybrid CNN-LSTM approach for sentiment analysis on IMDB movie reviews
Rahul Kumar Gupta, Binayak Ojha, Surya Prasad Yadav, Abhinav Kumar Singh,
Prasant Kumar Dash and Aadarsh Kumar Singh
56 An Internet of Things system application for monitoring and control of underground
mine environment
Raghunath Rout, Prateeva Mahali and Subhendu Kumar Pani
57 A novel U-Net with fine tuned VGG16 backbone model for ulcer detection and classification
using 2-D endoscopy images
Debayush Behera, Satyaprakash Gharei, Vatsal Raj, Satyajit Singh and Ram Chandra Barik
58 A literature review of mental health assessment using social media post for depression
Chiranjeeb Das, Dibakar Pradhan, Rakesh Patel, Sohan Kumar Pande and Satyabrat Sahoo
59 Convolutional neural network approach to emotion recognition in speech
Mousumi Acharya, Shiba Charan Barik and Sudhir Kumar Mohapatra
60 Review of solar power generation forecasting using deep learning techniques
Somdev Behera, Gourav Kumar, Mahaveer Prasad Panigrahi, Sohan Kumar Pande and
Satyabrat Sahoo
61 A comparative analysis of breast cancer predictive intelligent model using machine learning
techniques
Ria Satapathy, Bhupinder Singh, Sohan Kumar Pande and Satyabrat Sahoo
62 An efficient CNN based hybrid model for cataract classification on ODIR dataset
Rahul Ray, Sudarson Jena, Laxminarayan Dash and Sangita Kumari Biswal
63 An assessment of vibration in non-prismatic Timoshenko beams with multiple transverse
splits
Abinash Bibek Dash, Alok Ranjan Biswal, Deepak Ranjan Biswal, Rasmi Ranjan Senapati
and Satyakam Acharya
64 Predictive analytics in healthcare systems
Subasish Mohapatra, Subhadarshini Mohanty, Jyoti Ranjan Nayak and
Sanjeeb Kumar Nayak
65 Electromagnetic interference shielding of Zn-50%-Al alloy-coated polypropylene flexible
conducting film
Rajendrakumar Sharma, Dibyaranjan Das, Prafulla K. Dash, Asutosh Acharya,
Kajal Parashar and SKS Parashar
66 Robust digital image watermarking using hybrid optimization technique
Alina Dash, Kshiramani Naik and Priyanka Priyadarshini

Biography

Dr. Tusharkanta Samal

holds a Bachelor of Technology in In received MTech and Ph.D. degree in Computer Science and engineering from Veer Surendra Sai University of Technology, Burla, Odisha, India. Currently he is working as an associate Professor in Department of Computer Science and engineering, DRIEMS University, Odisha, India. He has more than 12 years of teaching and research experience in different Engineering colleges and Universities. Dr. Samal has authored over 30 scientific papers published in SCI, Scopus Indexed Journals and Conferences.

Dr. Ambarish Panda

holds a Bachelor of Engineering in Electrical Engineering and Master of Technology in Power System Engineering from Sambalpur University and V.S.S University of Technology. He completed his Ph.D. in Electrical Engineering from V.S.S University of Technology since April, 2016. He has more than 14 years of teaching and research experience in different Engineering colleges and Universities. To his credit, he has published multiple research articles in SCI/SCIE indexed journals with high repute. Besides his research activities he serves as reviewer and Editor in SCI/SCIE Indexed Journal.

Manas Ranjan Kabat

is currently working as the principal of IMIT, a constituent college of BPUT. He has received his M.E. degree in Information Technology and Computer Engineering from Bengal Engineering College, India, and the Ph.D. degree in Computer Science and Engineering from Sambalpur University He has more than two decade of teaching experience both at undergraduate and postgraduate level. He has published more than 75 research paper in various referred international journals and conferences. He has guided more than 20 M.Tech and 9 Ph.D. students. Chaired and organized many international and national conferences. Contributed as editor and reviewer of many peer-reviewed international journals His research interests include QoS in internet, Wireless Sensor Network, Body Area Network, Cloud Computing etc

Ali Ismail Awad

(Ph.D., SMIEEE, MACM) is an Associate Professor at the College of Information Technology, United Arab Emirates University (UAEU), Al Ain, United Arab Emirates, where he has been coordinating the master’s program in Information Security since 2022. He is also an Honorary Associate Professor at the University of Nottingham, Nottingham, U.K. From 2018 to 2023, he served as a Visiting Researcher at the University of Plymouth, Plymouth, U.K. Dr. Awad joined the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology (LTU), Luleå, Sweden, in 2013. In 2017, he was promoted to Associate Professor (Docent) and served as the coordinator of the master’s program in Information Security from 2017 to 2020. In recognition of his teaching merits and pedagogical achievements, he was promoted to the rank of Recognized University Teacher at LTU in 2021. His research interests include cybersecurity, network security, Internet of Things (IoT) security, and image analysis with biometrics and medical imaging applications. He has edited or co-edited several books and authored or co-authored numerous journal articles and conference papers in these areas of interest. From 2021 to 2024, he was recognized among the top 2% of influential scientists worldwide. Dr. Awad serves on the Editorial Boards of Future Generation Computer Systems, Computers & Security, Internet of Things; Engineering Cyber-Physical Human Systems, Health Information Science and Systems, and Security, Privacy and Authentication (Frontiers). Dr. Awad is an IEEE Senior Member and an ACM Professional Member.

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 in OPSC (Orissa Public Service Commission) in 2005. He has obtained his Bachelor of Engineering 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 (Now Maharaja Sriram Chandra Bhanja Deo University). He is having 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 also participated in many National and International Workshops, FDPs, Industrial Training Programs organized by 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 a book on “Introduction to Machine Learning” and a UK patent on “Smart Home Air Quality Monitoring Device”.He is a life member of Indian Society for Technical Education (ISTE).

Dr. Deepak K Tosh

is an assistant professor in Computer Science at the University of Texas at El Paso. Before that he was a Cybersecurity Researcher at the DoD Sponsored Center of Excellence in Cybersecurity, Norfolk State University (NSU), Norfolk, Virginia. During that time, he has closely collaborated with researchers from Air Force Research Lab and Army Research Lab to establish data provenance mechanisms in cloud computing in addition to addressing research challenges in the arena of distributed system security, Blockchain, cyber□threat information sharing, cyber-insurance, and Internet of Battlefield Things (IoBT). He was appointed shortly as a postdoctoral researcher at the Tennessee State Univerity, where he worked with Dr. Sachin Shetty in the CyberViz Laboratory. He has been collaborating with Dr. Shetty since then focusing on research topics such as: distributed consensus models in Blockchain technology, cyber-resiliency in battlefield environment, and various practical issues in cloud computing security. He has received my Ph.D. in Computer Science and Engineering from University of Nevada, Reno, under the supervision of Dr. Shamik Sengupta. His dissertation was focused on designing market based models to enable cybersecurity information sharing among organizations. He received my masters in Computer Science from University of Hyderabad, India in 2012. His master thesis addressed the issue of cognitive radio transmission parameter adaptation problem using multi-objective optimization techniques.