Buch, Englisch, Format (B × H): 155 mm x 235 mm
DoSCI 2026, Volume 2
Buch, Englisch, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-3-032-37917-7
Verlag: Springer
This book features high-quality research papers presented at Seventh Doctoral Symposium on Computational Intelligence (DoSCI 2026), jointly organized by Institute of Engineering and Technology, Lucknow, India, and School of Open Learning, University of Delhi in association with University of Calabria, Italy, during March 20–21, 2026. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, and decision support and decision-making.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Optimizing Document Clustering using K Means and Mini-Batch K-Means.- A Dynamic Modeling Method for Student Knowledge State Based on Graph Neural Networks.- Impact of Color Normalization on Colorectal Histopathology Image Classification Using Deep Learning Models.- Identification Of Leaf Rust Disease In Wheat Using Machine Learning.- Medical Test Recommendation System Using Symptoms through Graphical User Interface.- AI-Based Emotion-Driven Virtual Customer Bot for Sales Training using BERT and BART.- AI-Embedded Adaptive Brand Design and Purchase Decisions: The Intervening Role of Brand Loyalty and the Moderating Role of Electronic Word of Mouth in Iran's Stationery Market.- Corporate Default Forecasting for Indian Firms: Integrating Distance-to-Default with Machine Learning Models.- Integrating Security and Forensics in Management: Strategies for Risk Mitigation and Organizational Resilience Using Expert Systems.- SHAP-Based Machine Learning Analysis of Hydrogen Production from Wastewater.- Federated Multi Model Deep Learning For Chronic Kidney Disease Progression Prediction.- Evolving 6G Architectures: AI Driven Frameworks for Smart Urban Environments.- Marine Insight: Microplastic Segmentation in Microscopic Imagery using Deep Learning Models.- IoT Malware Detection using Federated Learning in Cyber Physical Systems with Data-Driven Digital Twin.- Feasibility Study and Parameters Optimization on Gas Storage Reconstruction via Convolutional Neural Network.- Contextual Biasing for Improving Automatic Speech Recognition for Air Traffic Control Communications.- Personalizing Education Through Reinforcement Learning: A Systematic Review of Adaptive Learning Systems.- IRS assisted MEVD for Low SNR Scenarios.- Comparative Analysis of Feature-Extraction and Data-Balancing Techniques Emotion Classification on Twitter Reviews.- Optimizing Shor's Algorithm Using Parallel Computing Techniques.- Hybrid Intelligence for Healthcare: Metaheuristic-Enhanced Transformer Representations for Drug Review Classification.- NiyamGuru: A Multi-Agent Moot Court Simulator for Indian Consumer Law.- A Comprehensive Robust Replicable Baseline on Person Re-Identification.- Predicting Loan Default Using Borrower Demographics: A Statistical Modelling Approach.- Next-Generation Clinical Decision Support Systems for Secure Autonomous and Explainable Healthcare: A Comprehensive Review.- Deep Clustering method on COVID-19 Chest x-ray images using Convolutional Auto-Encoders.- AI Driven Smart Cap - Empowering Independence of the Visually Impaired.- Application of AI Visual Recognition and Natural Interaction Technologies in the Construction of Intelligent Environmental Spaces During Urban Renewal.- Convolutional Neural Network Based Rice Leaf Disease Detection.- Reinforcement Learning-Based Generation of Emotion-Conditioned Indian Classical Music.- Deep Learning Approaches for 3D MRI Brain Image Segmentation A Survey.- Explainable Machine Learning for Thermal Conductivity Prediction and Feature Importance.- Enhancing Social Recommendation through Sequential and Session Modeling with Transformers.- Multi-Modal Product Recommendation in E-commerce Using CLIP Embeddings and Learned Attention Fusion.- Tree-Based Stacked Ensembles for Robust Air Pollution Prediction: An Investigative Study.- Automatic Land Feature Classification and Mapping Application Based on Computer Vision Unmanned Aerial Vehicle Imagery.- Leveraging ML & IoT in Enhancing Accessibility for People with Disabilities.- Accelerating Two-Pass Z-Score Outlier Detection Using OpenMP: A Comparative Analysis of Serial and Parallel Execution.- Performance Analysis of Deep Learning Models in Agricultural Disease Prediction.- A Lightweight Convolutional Neural Network for Scalp Condition.- Cross-Site Scripting Detection and Prevention Web Application Vulnerabilities.- Surface Codes for Fault-Tolerant Quantum Computation.- Machine Learning and Explainable AI for Weather-Driven Fuel Consumption Modeling in Marine Logistics.- Performance Evaluation Of Quantum Algorithm On Hybrid Architecture.- Strengthening Business Success Prediction Using XAI: Developing a Scalable System for Financial Decision-Making.- Green Finance Resource Optimization Allocation Based on Intelligent Algorithms.- Mitigating Regional Bias in Crop Yield Prediction Using Fairness-Aware Machine Learning.- Metaheuristic Optimization of Biogas Yield using a Random Forest Surrogate.
