Computing, Communication, and Sustainable Energy Technologies Communication Techniques and Intelligent Systems (Volume 1)

Track 1: Signal, Image & Multimedia Processing

1.  Scalable deep learning framework for big data-driven pattern recognition using transformer architectures and adaptive feature fusion

Aamir Khan, Nisha Chandran S. & Durgaprasad Gangodkar

2.  Image processing for ovarian cancer: from classical methods to deep learning and multimodal AI - a systematic review and comparative synthesis

Venkata Raghavendra Miriampally, Neelapala Anil Kumar, GGS Pradeep, G. Ramana Murthy & Gnane Swarnadh Satapathi

3.  SENTITRUST: a revolutionary trust paradigm for decentralized online social media

M Giri, K. Maheswari, K Kathyayani, G.D. Anusha, P. Nithin & V. Venkata Sivareddy

4.  Analysis and prediction of crime hotspots using ml with stacked generalization approach

M. Giri, Gunasekhar, B Dhanalakshmi, B Gagana, A K JayaSankar and N Gavaskar

5.  Evaluation of objective measures of optimal mask generation based enhanced speech signal

Anil Garg, Ruchi Garg, Ravi Malik, Deepak Dudeja & Sumit Kumar

6.  Adaptive multi-degradation image restoration using deep learning: a unified network

Ankit Pokhariya, Manish Gautam, Ashish Jain & Rosey Chauhan

7.  Land cover classification of satellite and drone images using EA-UNet

Nahid Malik, Shilpee Patil, Azhar Ahmad, Akshat Jain &Ayushi Verma

Track 2: Embedded Systems, IoT & Cyber-Physical Networks

8.     Image caption generator using CNN and LSTM

Monika Nagarajan, Pancheti Monisha, Mounika Ilaka, Nellepalli Prasanna, D. Manasa & T. Hari Priya

9.     Hybrid reinforcement approach for customized learning and path suggestion

J. Jerin Jose, J. Sridhar, Kamineni Likitha, P.K. Kavya, T. Likitha & K. Prakash

10.  IoT enabled smart livestock health monitoring system

Priyadharshini V, Ganeshini E, Lokeshwari C, Kovarthanaselvi R S, Parameswaran Ramesh & P T V Bhuvaneswari

11.  Density-based traffic light monitoring system using AI and ML

Pragya Pandey, Paridhi Rastogi, Yashi Jain & Vidhi Chaudhary

 Track 3: Antennas, Propagation & MicrowaveTechnologies

12.  Neuro-fuzzy hybrid network-based system for the detection of FDIA on LFC

R. M. Mallika, B. V. Arthi, A. Hemanth, M. Hemanth, P. Giri Sai & B. Bhargavi

13.  Design and analysis of phased array beam-steering antenna for UAV relays in 5G network

R. L. Yadava, Akshat Gupta, Aditya Pratap & Dev Veerani

14. A compact Fractal loaded monopole antenna with reconfigurable band rejection capability characteristics for SWB applications

Ranjana Kumari, R.L. Yadava, Aditi Kumari, Aarushi Bharadwaj, Simran Gajbhiye & Ruchi Agarwal

15. High isolation & high gain multilayered SIW based MIMO antenna for sub-THz applications

Ranjana Kumari, Shilpee Patil, Rudra Kumar Singh, Satyajeet Parmar, Shashank Kumar Chaudhary, Ruchi Agarwal

16.  Metamaterial based MIMO antenna array for 5G/6G communication with AI-powered isolation and performance prediction

Amanpreet Singh Saini, Kumari Harshita, Lavanya Ojha & Nikhil Singh

17.  A.I. assisted beamforming with beam steering butler matrix for next gen wireless system

Amanpreet Singh Saini, Midhun Karthikeyan, Nikhil Raghuvanshi & Harsh Kumar Jha

18.  Analysis of a circular slot loaded square patch antenna for 5.8GHz WLAN/WiMAX band

Alka Verma, Prasanna Kumar Singh, Shilpee Patil, Anil Kumar Pandey & Nahid Malik

Track 4: Cybersecurity, Blockchain & Information Technologies

19.  AI-Powered deepfake detection and biometric identity verifier using zk-STARKs: A zero - knowledge approach to secure digital authentication

Subhalaxmi Chakraborty, Ritankar Dutta Banik, Shubhodeep Ghosh, Bikram Debnath, Aniket Singh & Aniruddha Ghosh

20.  Role of artificial intelligence in detecting and preventing phishing attacks

Madhav Bansal, Deepti Singh, Kirti Kushwah, Kanika Singhal, Harshita & Sanjay Kumar

21.  Customer churns prediction in banking using machine learning

Monika Nagarajan, P.M.S.S. Chandu, T. Sindhu, Shaik Areef, P. Shruthi & Shaik Khalid

22.  The Use of Blockchain in Blood Bank Management Systems: Blood Chain

Udai Bhan Trivedi, Vipin Dwevedi, Manish Kumar

23.  Hybrid machine learning techniques for real-time threat detection in wireless sensor networks: a cybersecurity perspective

Sunil Kumar, Navin Prakash, Nisha Pandey, Saurav Chandra & Nikhil Kumar

24.  Dual mode hybrid encrypted file sharing system

A. Kumar, A. Kumar, R. Kumar, J.R. Jha & N. Ahmad

Track 5: Artificial Intelligence, Machine Learning & Data Science

25.  Smart farming in the food industry using artificial intelli-gence and machine learning

Himani Maheshwari, Aamir Khan, Nisha Chandran S., Shalini Tiwari, Ahmad Jamal & Ashulekha Gupta

26.  A novel spatio-temporal machine learning model for high-accuracy PM2.5 Concentration Forecasting

Ravi Shanker Pathak, Vinay Pathak & Amit Rai

27.  Designing an ensemble of deep learning models for enhanced content-based image retrieval

Mohammad Khalid Imam Rahmani

28.  Ensemble-based multi-modal framework for predicting rheumatoid arthritis progression

Sharik Ahmad, Rafat Parveen & Aamir Khan

29.  A Hybrid Bi-LSTM–CNN framework for sentiment classification of E-commerce reviews

Kumar P. Hari Sainath C

30.  GAN-based data augmentation for improved brain tumor classification in medical imaging

Neeraj Panwar, Aditya Harbola, Deepti Negi, Abhishek Jain, Sushil Chandra Dimri & Navjyoti Singh Negi

31.  Automated music genre recognition using convolutional neural networks and audio feature engineering

Neeraj Panwar, Aditya Harbola, Deepti Negi, Amit Juyal, Abhishek Jain & Harendra Singh

32.  Classification of tyre health conditions using CNN based image classifier

Vishal Jain, Aryan Panwar, Vaishnavi and Raziya & Mohini Preetam Singh

33.  Quantum optimization algorithms for wheat harvest classification: a hybrid computational approach

D. Agarwal, S. Sandosh, S. Abirami,S. Sushibine, A. Garg & S. Gupta

34.  GesNova: real-time Indian sign language translation through hand gesture recognition to text and speech

Nilima Patel, Rajat Kumar Singh, Ronit, Saaim Ali Khan & Vipul Kumar Arya

35.  Role of artificial intelligence and fintech in simulating investor behavior

Kapil Saini, Rekha Narang & Poonam

36.  A machine learning predictive model to determine the binary result status of a student

Brijesh Singh, Manoj Kumar Lohumi, A. K. Sethi & Anil Kumar Shrivastava

37.  Comparative analysis of machine learning and deep learning-based approaches for pedestrian detection

A. Kaur, R. Chhabra & R. Kaur

38.  Early prediction of autism spectrum disorder in adults using supervised machine learning techniques

Bhawna Singh, Rekha Baghel, Kanika Singhal & Sandhya Umrao

39.  Advancements in human-machine integration through deep learning-based brain-computer interfaces

Priyanka Kaushik, S Saravana Kumar, R Sujitha, Anandakumar Haldorai, Bhavik Kuchipudi & Aman Joshi

40.  A study of machine learning methods for detecting sentiment in social media content

Rachna Rathore, K Kiran, Minu Balakrishnan, Anandakumar Haldorai, Avinash Kumar Namdeo & Akshara Sharma

41.  AI-driven personalization and its influence on the e-commerce customer journey

Shailendra Singh Sikarwar, Sundaram Arun, R Archana Reddy, Anandakumar Haldorai, Yogesh Choudhary & Aditi Sharma

42.  Adaptive multimodal fusion for stable emotion recognition in the presence of modality failure

Rachna Rathore, V Sumalatha, Babitha Lincy R, Anandakumar Haldorai, Rizwan Arif & Himanshu

43.  AI-based symptom interpretation for disease detection and personalized treatment recommendations

Saurabh Pratap Singh Rathore, Sripelli Jagadish, Priya L, Minu Balakrishnan, Preeti Jangra & Ketki patel

44.  A contextual approach to privacy risk and adaptive epsilon allocation in Privaware-AI using an LLM-powered RAG pipeline

A. Vishwam Rao, Swaraj Upreti, Hemant Kumar & Kamini

45.  Comparative analysis of custom CNN architectures and pretrained models for pneumonia detection using chest x-rays

Yash Manav, Saurav Suman, Gunjan Aggarwal, Ashish Jain & Amit Kumar Rai

46.  A comprehensive review on cotton plant growth monitoring using mobile imagery and deep learning

Om Amit Mishra, Harsh Mistry, Tanishq Tayal & Nitin Choubey

47.  Continuous health monitoring through wearable devices and machine learning

Lavanya S, Gobi P, Charan G T, Kishor S & Faizul Ahamed M F

48.  Stacking ensemble based automated detection of wine quality

Garima Chandel, Anagha Nair, Chesta Devi, Harsh Vardhan Singh, Pranav Kumar & Bishnu Deo Kumar

49.  Predicting the market: a critical review of machine and deep learning approaches for housing price prediction

Uday Mishra, Abhinav Mishra, Asit Kumar Gahalaut, Ratan Rajan Srivastava

50.  Deep generative models for synthetic medical image augmentation to improve rare disease diagnosis

Shivi Srivastava, Pratap Kumar, Rolly Gupta, Atul Kumar & Shriniwas Singh

51.  SOULENCE – An AI-powered emotional well-being support system

Kumar P & Hari Sainath C

52.  A comprehensive review on intelligent legal insight systems using artificial intelligence and natural language processing

Manya Singhal, Kushagra Saxena, Richa Sharma & Samiksha Singh

53.  Prognosis of liver cirrhosis by way of machine and deep learning techniques: a methodical review

Pooja Dubey, Amit Bhatnagar & Dimpal Pandey

54.  dlib-CNN powered automated attendance system

Pranay Meshram, Priya Meshram & Sundeep Raj

55.  Conversational AI in a New Era: a comprehensive review of models, applications, and evaluation in an AI-driven world

Isaac Massey, Kritika Singh, Sameer Ahmed & Preeti Dubey

56.  An integrative review of deep learning-based approaches for Indian sign language to speech translation

Nitya Singh, Sahil Singh & Aanchal Vij

57.  MailGen: LLM powered framework for automated job candidate matching and intelligent email outreach in recruitment

Kartikey Shukla, Rosey Jadon, Muqtar Ali, Shikha Chadha & Rajiv Kumar Nath

58.  The impact of AI-powered chatbots on lead conversion in Instagram direct messaging

Aryan Verma, Vishal Suryan, Shourya Sharma & Jitendra Singh

59.  Leaf disease detection using efficient NetV2

Aayush Kumar Singh, Shivika Dhama, Jitendra Bansal, Mansi Tyagi & Renuka Sharma

60.  Enhanced parking space detection system using CNN and python: a cost-effective scalable approach

Anshul Sharma, Ramanjeet Singh, Premprakash Motwani, Amandeep Kaur & Kiran Jot Singh

61.  An LLM-based system for technical interview practice for software engineers

Gaurav Kumar pal, Mohammad Zubair & Rashmi Rathi Upadhyay

62.  A comparative performance review of YOLOvN architectures with a special focus on pothole detection for YOLOv8 -YOLOv12

Abhinav Mangalore, Jyoti Tripathi & Rochak Bajpai

63.  A quality analysis on open-source data

T. Adhikari, S. S. Chandel, S. Gupta, S. Jindal, L. Banda & D. Gautam

64.  Reality at risk: an analysis of deepfake video detection approaches

Anupriya Gupta, Aneesh Kumar, Ashish Jain & Amit Kumar Rai

65.  AI creditworthiness evaluator using agentic AI

Aastha Madhwal, K S Shreya, Manvi, Shagun Khurana & Suvidha Agarwal

66.  Cerebo Shield: adversarially robust ai for brain tumor MRI analysis.

K. Bhatt, R. Malhotra, A. Singh, T. Seth, L. Banda & N. Ahmad

67.  A review of AI-driven interview preparation systems using generative AI

Ravishankar Singh, Rishabh Singh, Himanshi Singh & Ratan Rajan Srivastava

68.  Cryptocurrency price prediction using bi-LSTM and GRU

G. Shukla, S. Diwakar, K. Pandey, Prachi, L. Banda & D. Gautam

69.  Olympic data analyzer: a comprehensive tool for data-driven insights into olympic history and performance trends

Garima Shukla, Dipak Raskar, Saranya A, Jeyavel Janardhanan, Rajeev Kishore & Shriniwas Singh

70.  A review of lungs cancer detection using deep learning

Atul Kumar, Cheshta Bhardwaj & Ashish Jain

71.  An optimised classification framework for employee attrition prediction

G. Jakhmola, A. Singh & L.K. Sagar

72.  Robust attendance system using machine learning

Saurabh Raj, Akhtar Raza, Gulshan Baghel & Laxmi Kant Sagar

73.  A deep learning framework for real-time facial emotion recognition using CNN

V. Sharma, R. Verma, C. Hattar, A. R. Bharti & N. Ahmed

74.  Rainfall-induced landslide prediction using machine learning methods

Keshav Kumar, Nehal Kumar, Harshvardhan Singh & Brajesh Kumar Singh

75.  Forecasting financial futures: a LSTM framework for stock market prediction

P. Mishra, A. Dalmia, K. Shrivastva, V. Gupta & G. Singh

76.  CLEAN: cyberbullying language evaluation AI network

A.    Goplani, N. Bisht, P. Mishra, A. Mali & L. Banda

77.  Quantitative feedback mapping for enhanced accuracy in self-mixing interferometry

Amit Kumar Chauhan, Alka Verma & Vibhor Kumar Bhardwaj

78.  AIQA: agentic intelligent quality analyst

P. Sharma, V. Thakur, P. Mishra, A. Shrivastava & S. Singh

79.  Enhanced heart disease prediction using an optimized lightGBM framework with adaptive winsorization

Syed Varish, Sudha Rani V & Dinesh Kumar Anguraj

80.  An optimized LightGBM framework for enhanced heart disease prediction using SMOTE–ENN and optuna optimization

Syed Varish, Sudha Rani V & Dinesh Kumar Anguraj

81.  Automatic liver cirrhosis detection using support vector machines

Garima Chandel, Shreya Pandey, Naman Singh Gaharwar, Lalit Kumar, Kritika Gupta & Bishnu Deo Kumar

Track 6: Electronic Design, VLSI & Digital Circuits

82.  Accident detection on roads and tunnels using deep learning technique

N. Babu, R. Sandhya, N.G. Saikiran, Saravanan Meghana, V. Maheswara Reddy & P. Sarathkumar

83.  Standard cell library based processor design using MGDI technique

Amit Gupta, Shivam Yadav, Ujjawal Singh & Shreyansh Shrivastava

Track 7: Cloud, Quantum & Advanced Computing Paradigms

84.  Quantum data security and transmission – classical approach for QKD

Aniruddha Ghosh, Diya Roy, Raul Akhuli, Subhalakshmi Sarkar, Sibam Das & Suparna Nath

Track 8: Biomedical Systems, Bioelectronics & Oceanic Engineering

85.  Hybrid deep learning and handcrafted feature approach for diabetic dry eye diagnosis via tear ferning analysis

Kosuri Srinivasa Rao, Neelapala Anil Kumar, GGS Pradeep, G. Ramana Murthy & Siva Rama Krishna Madeti

86.  Efficient multimodal biometric authentication in healthcare using optimized fully homomorphic encryption and GPU acceleration

Marumbo Golda Sibande, Shiv Kumar Verma, Yogesh Singh Rathore & Khushboo Tripathi

Track 9: Miscellaneous and Interdisciplinary Topics

87.  Genetic pattern recognition for disease prediction using machine learning and fuzzy logic

Shagufta Praveen, Aamir Khan, Shaweta Sachdeva, Mohit Kumar Sharma, Nirmaljeet kaur & Aashdeep Singh

88.  Hand motion recognition system: an experimental comparative analysis of classical, deep learning, and hybrid models

Arun Kumar Rana, Shilpee Patil, Abhinav Singh, Abhinu Yadav, Divyansh & Amit Kumar Kesarwani

89.  Compact hexa-band nested microstrip antenna for X/Ku/K-band and radar applications

Manish Kumar, Sandeep Kumar Singh & Anupam Kumar Yadav

90.  Optimizing soil nutrient prediction with SMOTE and stacking of machine learning models

Varun Sapra, Luxmi Sapra & Ankit Vishnoi

91.  AI-enhanced ultrasound diagnostics for detecting fetal abnormalities

Priyanka Kaushik, S Saravana Kumar, Md Ankushavali, Minu Balakrishnan, R. Chinnaiyan & Aryan Mekde

92.  Early identification of PCOD through artificial intelligence leveraging lifestyle and clinical indicators

Priyanka Kaushik, S Saravana Kumar, G Sunil, Babitha Lincy R, Riya Kapoor & Anshika Tyagi

93.  Machine learning and AI frameworks for accurate diabetes risk assessment

Shailendra Singh Sikarwar, S Saravana Kumar, Jaypal Lande, Minu Balakrishnan, Ankur Goyal & Chirag Choudhary

94.  Spatial attention driven CNN for breast cancer image classification with Grad-CAM visualization

Anil Kumar Pandey, Vishal Jaiswal, Vishal Kumar Pandey, Shilpee Patil, Maheshwari Prasad Singh & Ankit Titoriya

95.  True News: a comparative study of tripartite political bias classification models for news headlines

Yuvraj Singh, Ayush Khati, Rishav Raj, Anubhav Upreti, Rajiv Kumar Nath & Nidhi Malhotra

96.  Innovative pedagogy and transformative practices of teaching learning for STEM facilitators

E. Sujatha, R. Asmitha Shree, D. Pavai, K. Saranya & R. Balamurugan

Biography

Ram Lal Yadava, Ph.D., is a Professor in the Department of Electronics and Communication Engineering, Galgotias College of Engineering and Technology (GCET), Gr. Noida, U.P, INDIA. He received his doctorate in Electronics Engineering from the IIT-BHU University. He joined VIT University, Vellore, in 2001 and served as Head of the Microwave Division, Coordinator (R&D), and Coordinator (UG) of Electrical Sciences. During his service at VIT University, he was deputed as visiting faculty to Kigali Institute of Science and Technology (KIST), Kigali, Rwanda, Central Africa. He has served as coordinator of M.Tech, HOD, and Head Exams at GCET. Dr. Yadava has organized several guest lectures, short-term training programs, and conferences sponsored by DST and AICTE, Govt. of India, in the field of microwave antennas and wireless & optical communications. His research areas include: microwave antennas and communications. He has guided five Ph.D. scholars, 30 M.Tech students, and several B. Tech projects, and he has 150 publications to his credit.

Anil Kumar Sethi is a Professor in the Department of Mechanical Engineering at Galgotias College of Engineering & Technology, Greater Noida, with over 25 years of teaching and academic experience. He holds a Ph.D. in Mechanical Engineering and an M.E. in Welding Engineering from IIT Roorkee. His academic and research interests include thermal engineering, renewable energy, advanced materials, artificial intelligence applications in engineering, and manufacturing processes. Dr. Sethi has published extensively in reputed international journals and is a German patent holder. He has actively participated in numerous FDPs, workshops, and international conferences. His career reflects strong contributions to teaching, research, and academic leadership.

Amanpreet Singh Saini is an academic professional and researcher with interests in intelligent systems, computing technologies, and applied communication solutions. He has actively contributed to research, technical training, and academic coordination. His involvement in conference organization, editorial support, and scholarly activities reflects his commitment to promoting quality research and innovation in emerging technological domains.