Proceedings of Fifth Emerging Trends and Technologies on Intelligent Systems

This book presents best-selected papers presented at the 5th International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2025) held from 19 - 21 March 2025 in hybrid mode at C-DAC, Noida, India. The book includes current research works in the areas of artificial intelligence, big data, cyber-physical systems, and security in industrial/real-world settings. The book illustrates on-going research results, projects, surveying works, and industrial experiences that describe significant advances in all of the related areas.

Presents research works in the field of intelligent systems Discusses results of ETTIS 2025 held at C-DAC, Noida, India Serves as a reference for researchers and practitioners in academia and industry

Autorentext

Kalpana Johari is currently serving as the Associate Director & Scientist 'F at C-DAC, Noida. Dr. Kalpana Johari brings over 20 years of extensive experience in research, academics, and training. In the realm of funded projects, Dr. Kalpana Johari has been instrumental in leading and coordinating several key initiatives. She has also supervised 15 postgraduate theses in areas such as Artificial Neural Networks, Software Engineering, and Machine Learning.

Kriti Saroha is presently working as Scientist 'E' at C-DAC, Noida. She holds a Ph.D. from GGSIPU, Delhi and M.S. degree from BITS, Pilani. She has more than 24 years of teaching and research experience. She has supervised 24 postgraduate theses in areas such as AI, ML. Her research interest includes Data Warehousing and Data Mining, AI and Machine Learning, Computer Architecture. She has published a book on Computer Organization, Wiley India Pvt. Ltd. and several research papers in National/ International Conferences and Journals.

Emil Pricop is an Associate Professor and the Head of the Automatic Control, Computers, and Electronics Department of the Petroleum-Gas University of Ploiesti, Romania. Dr. Pricop teaches computer networking, software engineering, human-computer interaction, and critical infrastructure protection courses. He received his Ph.D. in Systems Engineering from the Petroleum-Gas University of Ploiesti, where he defended the thesis Research regarding the security of control systems in May 2017. His research interest is in cybersecurity, focusing primarily on industrial control systems (ICS) security. Currently, he is leading a research project aiming at emerging and disruptive technologies that can be used to increase ICS resilience and security.

Abhijit Sen is currently Professor of Computing Science and Information Technology at Kwantlen Polytechnic University, BC, Canada. He holds a PhD. from McMaster University, Hamilton, Ontario, Canada and Master of Science degree from University of California, Berkeley, USA, and B.Tech in Electrical Engineering from Indian Institute of Technology, Kharagpur, India. He has over 30 years of academic and administrative experience having worked in organizations such as Canadian Aviation Electronics, Montreal, Canada, Microtel Pacific Research, Burnaby, Canada. His current research interests are in the areas of Wireless Networking and Security, Radio Frequency Identification (RFID), Computing Education and Teaching Methodologies, Distributed Systems and Databases, DevOps, and Artificial Intelligence. He is the recipient of Distinguished Teaching Award of Kwantlen Polytechnic University, BC, Canada. He is a Life Member of Institute of Electrical and Electronics Engineer (IEEE). He served in the Executive committee of IEEE, Vancouver Chapter. Gaurav Trivedi holds a PhD. and M.Tech degree from IIT, Bombay, Bachelor of Engineering from Shri Govindram Seksaria Institute of Technology and Science (SGSITS), Devi Ahilya University, Indore, Madhya Pradesh. He has taught wide range of courses in Undergraduate and Postgraduate courses: Semiconductor Devices and Circuits, Introduction to VLSI Design, Basic Electrical Science, Embedded Systems, Digital IC Design, VLSI System Design, VLSI IC Technology, Algorithms and Data Structures, Introduction to Parallel Computing, Fundamentals of VLSI CAD. His Research interests include: Circuit Simulation (Analog, RF & Digital) and VLSI CAD, Electronics System Design, Computer Architecture, Semiconductor Devices, Hardware Security, Embedded Systems and IoT, High Performance Computing, Large Scale Optimization and Machine Learning.

Inhalt

Quantifying Security Events in IoT.- Integrating Evolutionary Computing for Enhanced Earthquake Risk Assessment.- Cyber Resilience for Containerized Workloads A NIST Based Approach to Incident Management and Recovery.- The Rotary Feeding Hopper for the Fresh Chili Destemming System.- An Efficient Ensemble Strategy for Acute Lymphoblastic Leukemia Classification.- Virtual Sensing for Crop Safety from Animals.- Radiology Images to Text Synthesis Using Multimodal Large Language Models for Generating Clinical Summaries.- A Machine Learning Approach to Detecting Phishing Attacks Using LLM Based Embeddings.- SECCODEPLT A Unified Evaluation Platform for Code GenAI Security Risks.- Methods for Reconnaissance and Elimination of Malicious Worms in Multiple Unobservable Regions Using Path Specified Worms.- Deepfake Detection for Images.- Deep Learning Driven MRI Stratification for Intracranial Tumor Subtype Resolution.- Balancing Positivity Predicting the Influence of Toxic Positivity in Communication.- Leveraging Large Language Models for Mental Health Diagnostics.- Disaster Management in the Digital Era: A Survey on the Integration of AI and UAVs in Disaster Response and Recovery.- Advances in Medical Image Classification Using Quantum Machine Learning: A Survey.- A Dual Model Approach Utilizing Convolutional Autoencoders and Deep Neural Networks for Lung Cancer Detection.- Flying High on Sustainability: A Global Analysis of Airport SDG Alignment and AI-Driven Innovations.- Boosting Breast Cancer Classification in Histopathological Images Through Federated Learning Techniques.- Boosting Breast Cancer Classification in Histopathological Images Through Federated Learning Techniques.- Statistical Analysis Based Performance Evaluation of Secured Workflow Allocation Model in Cloud Environment.- Exploring Security Vulnerabilities in Leading Large Language Models: A Comparative Study.- Enhancing Visual Simultaneous Localization and Mapping (VSLAM) Robustness in Dynamic Environments.- Dynamic Query Vision Transformers and Hierarchical Latent Compression: Advancing Real Time Surveillance systems.- Quishing a review of QR code attacks and a framework design for safe scanning.- Integrating XAI with Optimized CNNs: A Novel Approach for Imbalanced Alzheimer's Disease Classification.- Boosting Job Matching Accuracy Implementing Content-Based Filtering in Job Applicant Recommendation Systems.- Quantum Computing for Graph Optimization: An Approach to the Shortest Path Problem.