Multi-Strategy Learning Environment

Proceedings of ICMSLE 2026
Erscheinungsjahr 2026
ISBN: 978-3-032-35420-4
Verlag: Springer Nature Switzerland AG

Buch, Englisch, 707 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Algorithms for Intelligent Systems

This book presents selected papers from International Conference on Multi-strategy Learning Environment (ICMSLE 2026), held at Graphic Era Hill University, Dehradun, India, during March 27–28, 2026. This book presents current research in machine learning techniques, deep learning theories and practices, interpretability and explainability of AI algorithms, game theory and learning, multi-strategy learning (MSL) in distributed and streaming environments, and adaptive data analysis and selective inference.

Zielgruppe

Research

Autoren/Hrsg.

Vimal, Vrince

Piuri, Vincenzo

Taherdoost, Hamed

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Natürliche Sprachen & Maschinelle Übersetzung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Cybersecurity Risks in Digital Transformation: A Multi-Dimensional Taxonomy Based on a Systematic Literature Review.- AI-Based Autonomous Drone for Smart Traffic Monitoring.- Generative AI-Enhanced Problem-Based Learning in Business and Management Education: A Review.- The Evolution of Machine Learning: Key Developments and Persistent Challenges.- Transferability of Frozen Vision Transformer Embeddings for Low-Resolution Image Classification.- Quantum Key Distribution Simulation: A Case Study of the BB84 Protocol Using Open-Source Quantum Frameworks.- Random Forest-depending Predictive Analytics for Early Identification of Heart Disease in Clinical information.- Analyzing Crisis-Related Signals in Low- Resource Transliterated Text: A Comparative Framework Using ML and Transformer Techniques.- Trisense AI: Parallel Multimodal Framework for Deepfake Detection by Using Xception, MLP, SyncNet, and Confidence Attention Fusion.- A Robust Sound Analytics Framework for Traffic Surveillance in Smart Urban Environments.- A Study of Multimedia Traffic Generation Tools for Data Flow Experiments in SDN with RYU Controller.- Hybrid Deep Learning and Reinforcement Learning Model for Agricultural Supply Chain Optimization and Crop Yield Forecasting.- Imbalance-Resilient Distributed Deep Boosting Ensemble (DDBE) for Adaptive Intrusion Detection in Fog-Enabled IoT Networks.- Navigating the Frontiers of AI-Enabled Energy Systems: Addressing Data Scarcity, Security Risks, and the Interpretability-Efficiency Trade - off.- Development of a Smart Laparoscopic Instrument Classification System for Healthcare Facilities.- Machine Learning Approach For Flood and Landslide Prediction.- A Comprehensive Study on Denial of Service Attacks Detection in Wireless Sensor Networks.- Real Time Fall Detection and Alert System for Public Gathering.- AI Powered Clinical Support System for Bone Fracture Diagnosis from X-Rays Using Deep Learning.- AutoSci: AI Scientist for Clean Energy Materials Discovery.- EV BMS with Charge Monitor and Fire Protection with Zone Speed using CAN Protocol.- LSTM-Based Anomaly Detection in Time-Series Data.- AI-Powered Risk-Adaptive DevOps Security Automation Framework.- Silhouette-Guided Optimization of DBSCAN for Swarm Behavior Clustering Using PCA, t-SNE, UMAP, and Autoencoder Embeddings.- Machine Learning Based Road Hazard Classification Using EPS Rack Forcen.- Intrusion Detection System for Deviation Recognition in Advanced Connected Mobility Infrastructures.- Detection and Classification of Leukemia Sub-types using Hybrid Ensemble of Machine Learning Framework from Routine Blood Parameters.- A Modular Industrial Vision Framework for Adaptive and Robust Presence Inspection.- A Hybrid Deep Learning Framework for Multi-Task Classification, Staging, and Visibility Estimation in Age-Related Macular Degeneration.- AI-Based Crop Pest Detection System to Improve Farm Productivity and Prevent Plant Diseases.- Super Resolution Gan With Pso-Adam Optimization For Diabetic Foot Ulcer Detection.- Survey: AR - Based Cultural Heritage Preservation Platform.- Bridging Communication : Audio to Sign Language and Sign to Text Conversion using ensemble Deep Learning approaches.- Anomaly-Based Detection of Wash Trading Behavior in Non-Fungible Token Ecosystems.- Fracture Net+: A Multi-Task Deep Learning Model for Fracture Detection and Fragility Prediction.- Robust Energy Harvesting and Aware Routing in WSN Using ADRC-Controlled Transformer-Assisted Impedance Source Inverter.- A Context-Aware And Performance-Adaptive Ai Framework For Technical Interview Preparation.- Blueprint to Reality:Realtime Construction Tracker.- Edge-Based Real-Time Medicinal Plant Recognition with Background Exclusion Using Convolutional Neural Networks.- Enhanced Stacking Ensemble Algorithm with calibration analysis, Statistical and Clinical validation for diabetes prediction.- Artificial Intelligence enabled Pediatric Respiratory Disease Screening using Cough Sounds with EMD- based Denoising and Ensemble Classification.- A Structured Video-Level Deepfake Detection Framework with Landmark-Guided Alignment and Temporal Logit Aggregation. QH-NSAP: Evaluating QPCA-SVM Based Hybrid Quantum-Classical Pipelines for Noise and Scalability Analysis.- SignalSense: Adaptive traffic light management using machine learning and IoT.- Securing the Edge: Federated Learning for IoT Intrusion Detection.- AI-Powered Accessible Communication Platform For Differently-Abled Users.- Methodological Review for Context Mining in Multimodal Contents for Variant Software Clones.- An Intelligent Thermal Imaging Framework for Automated Crop Disease Identification.- Vision Transformer Sim-to-Real Transfer for Autonomous Driving: An Empirical Study with Domain Randomization.- Hardware-Aware Optimization of YOLOv4 for Efficient Small Object Detection.- Smart Marine Pollution Detection Using CNN and Transfer Learning.- Enhancing Heart Disease Prediction with ABC Optimization and Vision Transformer Networks.- A Comprehensive Multi-View Deep Learning Architecture for Robust Cardiovascular Disease Detection.- A Distributed Deep Stacking Ensemble with Imbalance-Aware Learning for Intrusion Detection in Edge-IoT Networks.

Über Autor(innen)

Dr. Vrince Vimal is qualified with a Ph.D. (Communication Systems) I.I.T. Roorkee, backed by M.Tech. (Electronics & Communications) and B.E. (Electronics & Telecommunications) with the distinction of clearing GATE and innovative experience of 16+ years across Education/Research. He has published 19 Indian National Patent, 7 S.C.I. articles, and SCOPUS indexed articles with a total of 17 publications. He has an experimental attitude towards teaching methodologies, including curriculum design and development of student-centered, congenial learning techniques to instill enthusiasm towards learning in students. He is an innovative conceptualist with a sharp eye for fresh approaches and details; expert layout skills with a flair for analyzing functionalities and harmonizing the art with the environment with a strong sense of aesthetics. Overall, Dr. Vimal is an academics-oriented, competent, and highly organized individual committed to professional development and continual knowledge acquisition. 
 
Dr. Vincenzo Piuri has received his Ph.D. in computer engineering at Polytechnic of Milan, Italy (1989). He is a full professor in computer engineering at the University of Milan, Italy (since 2000). He has been an associate professor at Polytechnic of Milan, Italy, visiting professor at the University of Texas at Austin, USA, and visiting researcher at George Mason University, USA. His main research interests are: artificial intelligence, computational intelligence, intelligent systems, machine learning, pattern analysis and recognition, signal and image processing, biometrics, intelligent measurement systems, industrial applications, digital processing architectures, fault tolerance, cloud computing infrastructures, and internet-of-things. Original results have been published in 400+ papers in international journals, proceedings of international conferences, books, and book chapters. He is a fellow of the IEEE, distinguished scientist of ACM, and senior member of INNS. 
Dr. Hamed Taherdoost is an award-winning leader and research and development professional. He is the founder of Hamta Group | Hamta Business Solution and associate professor and chair of Research and Scholarly Activities Committee at University Canada West. He has over 20 years of experience in both industry and academic sectors. Hamed has been an active multidisciplinary researcher and R&D specialist involved in several academic and industrial research projects. He has been working with researchers from various disciplines and has been actively engaged in different research studies. His views on science and technology have been published in top-ranked scientific publishers such as Elsevier, Springer, Emerald, IEEE, IGI Global, Inderscience, Taylor and Francis.