Proceedings of International Conference on Computational Intelligence and Information Retrieval

ICCIIR 2025, Volume 1
Herausgegeben:Bhattacharya, Abhishek; Dutta, Soumi; Yang, Xin-She; Bose, Sanku

• Broschiertes Buch

Produktbeschreibung

This book features best selected research papers presented at International Conference on Computational Intelligence and Information Retrieval (CIIR 2025) held at Sister Nivedita University, West Bengal, India, during April 24 25, 2025. It comprises high-quality research work by academicians and industrial experts in the field of computational intelligence, pattern recognition, information retrieval, data science and data analytics, advance computing, and artificial intelligence.

Produktdetails

• Lecture Notes in Networks and Systems 1593
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 89568032, 978-3-032-02789-4
• Seitenzahl: 500
• Erscheinungstermin: 4. November 2025
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9783032027894
• ISBN-10: 3032027896
• Artikelnr.: 74950008

Autorenporträt

Dr. Abhishek Bhattacharya is an associate professor at Sister Nivedita University, India. He has completed his Ph.D. (CSE), BIT, Mesra. He is certified as Publons Academy Peer Reviewer, 2020. His research interests are Data Mining, Cyber security, and Mobile Computing. He has published 55 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. He has 3 book chapters in Taylor & Francis Group EAI. He is a peer reviewer and TPC member in different international journals. He was the editor in IEMIS 2020, IEMIS 2018, IEMIS 2022, ICIDA 2022, ICIDA 2023, CIIR 2023, and special issues in IJWLTT. He is the member of several technical functional bodies such as IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. He has published 3 patents and 15 books. Dr. Soumi Dutta is an associate professor at Sister Nivedita University (SNU) at New Town, Kolkata, India. She has completed her Ph.D. (CST), IIEST, Shibpur. She received her B.Tech. (IT) and M.Tech. (CSE) securing 1st position (Gold medallist), from MAKAUT. She is certified as Publons Academy Peer Reviewer, 2020 and Certified Microsoft Innovative Educator, 2020. Her research interests are Data Mining, Information Retrieval, Online Social Media Analysis, and Image Processing. She has published more than 40 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. She has 25 book and book chapters in Taylor & Francis Group and IGI Global. She is a peer reviewer and TPC member in different international journals. She is an active member of several technical functional bodies such as ACM, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. Xin-She Yang received the D.Phil. in applied mathematics degree from the University of Oxford, Oxford, U.K. He was with Cambridge University, Cambridge, U.K., and National Physical Laboratory Teddington, U.K., as a senior research scientist. He is currently a reader with Middlesex University London, London, U.K., and the co-editor of the Springer Tracts in Nature-Inspired Computing. He is also an elected fellow of the Institute of Mathematics and its Applications. He was the IEEE Computational Intelligence Society (CIS) chair for the Task Force on Business Intelligence and Knowledge Management from 2015 to 2020. He has published more than 300 peer-reviewed research papers with more than 82 000 citations, and has been on the prestigious list of highly-cited researchers (Web of Sciences) for seven consecutive years from 2016 to 2022. Dr. Sanku Bose is currently the group chief executive officer of Techno India Group. Past, Dr. Bose served as the president and Global CEO of JK Technosoft (JKT), a holding company of the 140+ year old prestigious US$5Bn+ JK Group, led by the Singhanias. Accomplished, visionary, resourceful, and goal-oriented professional with over twenty-eight years of management and technology consulting experience with Big 4 consulting firms and leading organizations globally. Strong transformational leadership ability, with proven expertise in leading business transformation programs for Fortune 500 clients and building and directing highly effective teams. Unique strategist, with a career track record of transforming organizations and supporting critical business operations within diverse industries. Global background, with demonstrated success in delivering multi-million dollar global business transformation programs across 40+ countries. 

Inhaltsangabe

Part 1: Computational Intelligence.- Understanding Psychological Healthcare: Importance, Causes, Effects, Prevention and Treatment.- Analyzing Cyber Threats in Banking Sector and their Effective Solution A Review.- Knowledge Representation and Insights Generation from Structured Datasets.- Leveraging Micro Services Architecture to Enhance Scalability and Resilience in E-commerce Platforms.- Design and Implementation of Micro Service Architecture in E-commerce Platforms using Docker and Kubernetes.- Feature Exchange Federated Learning (FEFL) with Hierarchical Feature Exchange Layers (H-FEL) for Enhanced Bone Marrow Cell Classification.- Design of a smart dustbin model for waste management.- Impact of Marginal Cost Lending Rate on the Indian Banking Sector: An Analysis Using Machine Learning for Cybersecurity.- Detection of Cleft and Non-Cleft Lip Features with a Multi-Task Image Processing Network.- Dual-Wavelet Based Feature Extraction for Detecting Cardiac Arrhythmia from ECG Signals.- Smart Farming with Canny Edge Detection: Automated Plant Disease Segmentation and Severity Grading.- Prime Factorization-based Mixing Algorithm for MEDA-Biochip.- Capturing significant information regarding Election result using Twitter Data.- The Function of Ensemble Methods for ISA-based disease detection.- Deep Learning Classification Techniques for Video Tampering Detection: A Review.- Part 2: Pattern Recognition.- An Enhanced and Optimised Neuro Disorder Prediction using Random Forest Classifier.- An Approach to User Profiling through Image Captioning.- Chlorella vulgaris image classification Using EfficientNetV2-S, ResNet50 and InceptionResNetV2 with Grad-CAM Analysis.- Digital biomedical image processing using advanced digital hybrid filters.- Multi-spectral images based enhanced pedestrian detection system using deep learning.- Sentiment Analysis in Social Media Using Deep Learning Approaches.- Skin Disease Classification Using Vision Transformer.- Comprehensive Music Recommendation System for Better Experience.- Enhanced Sentiments Analysis using K-means Clustering and Dimensionality Reduction for BERT Classification.- Decentralized Election Using Face Recognition.- Bangladeshi Vehicle License Plate Recognition Using Neural Network and Deep Learning.- Comparative Study of Decision Tree Algorithms Using Ensemble Methods for Classification Tasks.- SignScribe: Deep Learning Driven Seamless Translation of Sign Language.- Advanced Paradigms of Cognitive Learning in Online Ecosystems: Transformative Strategies for Indian Higher Education Institutes.- Forecasting Air Quality: A Comprehensive Survey of Air Pollution Prediction Methods and Applications.- Part - 3: Information Retrieval.- Optimizing Liver Cirrhosis Stage Prediction Using Random Forest Classifier.- Development of a Fertilizer Prediction System using Adaboost algorithm.- Comparative Analysis of Object Detection Algorithms for Pothole Detection under Environmental Constraints.- A Deep Learning Framework for Supply Chain Delivery Delay Risk Prediction Using Macroeconomic Indicators.- Precision Orthopedics with Deep Learning Models for Meniscal Injury Detection in MRI Images.- Explainable AI for Oral Cancer Detection: A Practical Approach for Early Detection of Oral Cancer.- The Future of Risk Detection: Integrating RS, GIS, and AI for Holistic Hazard Awareness.- Hybrid Intrusion Detection Model Performance Evaluations Using EGA-PSO and the Improved Random Forest Method.- Semantic Search with Large Language Models(LLMs).- An Approach through Leading Key-Pair Based Uninformed Video Steganography.- An Approach to User Profiling through Video Captioning.- Real Time Facial Emotion Recognition.- Prediction of Cotton Percentage from Fabric Image Using Deep Learning.- Facial Expression-Based Emotion Recognition Using Convolutional Neural Networks.