Proceedings of Seventh Doctoral Symposium on Computational Intelligence

DoSCI 2026, Volume 3
Erscheinungsjahr 2026
ISBN: 978-3-032-36898-0
Verlag: Springer

Buch, Englisch, 324 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Networks and Systems

This book features high-quality research papers presented at Seventh Doctoral Symposium on Computational Intelligence (DoSCI 2026), jointly organized by Institute of Engineering & 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.

Swaroop, Abhishek

Kansal, Vineet

Hassanien, Aboul Ella

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

The Dynamics of Disparity: Linking Spatio-Temporal Nutritional Progress (NFHS) to the Burden of Disease (GBD DALYS) Across India.- The Moderating Role of Electronic Word-of-Mouth Between Brand Equity and Purchase Intention in China's New Power Electric Vehicle Brands.- AI-based Collaborative Optimization Algorithm for Parametric Building Design.- Comparative Forecasting of Typhoid in Kerala Using SARIMA and Neural Networks.- Federated Learning with CNNs and ResNet50 to Detect Polycystic Ovarian Disease.- Smart Ingredient Screening: ANN-Based Prediction of Carcinogenic Compounds for Safer Food Choices.- Sustainable Federated Learning for Collaborative Medical Diagnosis.- AI-Based Outfit Recommendation System: Integrating Multi-Modal Fusion and Ensemble Learning.- A Robust Tree-Based Stacking Ensemble Model for Capturing Nonlinear Dynamics in Air Quality Data.- Data-Driven Prediction and Explainable Analysis of Darrieus Wind Turbine Performance Using XGBoost and LIME.- Steganographic Framework: Combining Randomized LSB with Blockchain Secure Key Management.- A Comprehensive Review of Knowledge Graph-Driven Graph Neural Networks for Drug Repurposing.- Multimodal Intelligent Video Indexing for Efficient Retrieval and Navigation.- Automatic Second Language Acquisition Error Diagnosis System: Syntax Error Detection Algorithm Integrating Transformer and Confusion Matrix.- Detecting Gender and Sectional Bias in Court Decisions Using a Structured NLP-Driven Bias Identification Model.- Knowledge Graphs and Machine Learning in Sports Injury Prediction: A Conceptual Comparative Review.- A Comparative Study of The Performance of CNN, RNN, LSTM with Dynamic Window.- Towards Fair and Accurate Grading: A Critical Review of Answer Sheet Evaluation Approaches.- Deep Learning Approaches for Financial Distress Prediction and Survival Analysis in Indian Companies.- A Communication-Efficient and Privacy-Preserving Federated GRU Framework for Multi Hospital ECG Signal Classification.- Model Construction of Reinforcement Learning in Dynamic Budget Adjustment.- Investigating the Mediating Role of Transaction Circulation Efficiency and the Moderating Effect of Artificial Intelligence Development in the Relationship Between.- Digital Economy Drivers and Industrial Upgrading.- AI Model Optimization for Lower Energy During Student Assessment.- EFDL: A Neuroscience-Inspired Three-Level Cognitive Framework for Deep Learning Education.- NeuroPrune Guard: Secure Ensemble Pruning for DDoS Detection.- Assistive Proximity-Based Navigation and Emergency Alert System for Visually Impaired Individuals.- Object Detection with Relative Distance-Trend and Velocity Aware Speech Warnings.- Predictive Modeling Of Sleep Quality Using Explainable AI.- Driving Factors and Mechanisms of Smart Service Stickiness: Demonstrations from the Perspective of Digital Operations.- Agentic AI for Day Trading Using PPO and LLM Sentiment: Comparative Evaluation on UAE and Global High-Volatility Assets.- YOLOv8 Based Deep Learning Framework for Reliable Kidney Tumor Segmentation and Classification in Medical Images.- Minotaur Warfare: The Ethical Labyrinth of Autonomous Weapons and AI.- Region-Specific Crop Health Prediction in Punjab and Haryana using Machine Learning.- Ensemble meta-learning and explainability for predicting $CO_{2}$ adsorption in KOH-activated biochar.- Non-contact Hyperspectral Imaging and Intelligent Detection Model for Material Degradation of Fragile Cultural Relics.- Empirical Analysis of the Robustness of Deep Learning and Conventional Methods in the Noisy Forecasting of Time Series.- A Data-Driven Approach to Identify Undervalued Football Players from Europe's Top 5 Leagues using Machine Learning.- A Hybrid Random Forest-LSTM Framework for Proactive Crime Hotspot Prediction Using Spatio-Temporal Data Analytics.- Hybrid Feature Fusion for Multi Class Retinal Disease Detection.- Optimization of Injection Molding Process Parameters for Food Conveying Gears Based on BP Neural Network and PSO Algorithm.- A Unified Multimodal Deep Learning Framework Integrating Ultrasound Image and Clinical Data for Lesion Classification.- Federated Learning for Mental Health Screening: A Comparative Analysis of Machine Learning Classifiers Using Screen Time Data.- Hybrid CNN–RNN Architecture for Gesture Recognition in Virtual Learning Environments.- NetHybrid Deep Learning and Quantum Computing Models for Intelligent Medical Diagnosis.- Novel Ultra-Lightweight YOLOv8 Framework for Automated Diabetic Retinopathy Screening.- Deep Learning-Based Gait Anomaly Detection Algorithm.- A State-of-the-Art Review of Adaptive Prompting Techniques for Domain-Specific Agentic AI.- Assessing Compact Large Language Models for Multi-Label Attitude Polarization Detection in Arabic Social Media.- Machine Learning-Driven Anomaly Detection for Cyber-Physical Systems: A Comprehensive Evaluation on Industrial Network Traffic.- Discussion on the Application of Geological Resource Exploration Technologies in Geological Engineering Surveys.- Wearable FBG Sensor System for Real-Time Spinal Posture Monitoring and Rehabilitation Support.- Integration of Sustainable Urban Drainage Systems in Stormwater Management for Resilient Cities.

Über Autor(innen)

Prof. Abhishek Swaroop has served in reputed educational institutions such as Jaypee Institute of Information Technology, Noida, Sharda University Greater Noida and Galgotias University Greater Noida. He has served at various administrative positions such as Head of the Department, Division Chair, NBA coordinator for the university, Head Training and Placements. Currently, he is serving as a professor and HoD department of Information Technology in Bhagwan Parshuram Institute of Technology, Rohini, Delhi. He is actively engaged in research. He has more than 50 quality publications out of which 6 are SCI and 16 Scopus. One of his Ph.D. Scholars has completed his Ph.D. from NIT Kurukshetra, and he is currently supervising one Ph.D. student from IIT Dhanbad, two Ph.D. students from Uttarakhand Technical University, Dehradun, and one student from APJ Abdul Kalam Technical University, Lucknow. He has guided 10 M.Tech. dissertations and numerous B.Tech. projects.

Prof. Vineet Kansal has graduated in Computer Engineering from the GB Pant University of Agriculture and Technology, Pantnagar, and earned his M.Tech. and Ph.D. from IIT Delhi. He has been in academics for more than 28 years. Currently, he is a professor in the Computer Science and Engineering Department, Institute of Engineering Technology, Lucknow, and pro vice-chancellor of Dr. APJ Abdul Kalam Technical University, Lucknow, Uttar Pradesh. He has been the dean (UGSE) at Dr. APJ Abdul Kalam Technical University, Lucknow. His area of research interest includes Data Analytics, Machine Learning, Artificial Intelligence, Networking, Cloud Computing, Big Data Analytics, and Optimization.

Prof. Aboul Ella Hassanein is the founder and head of the Egyptian Scientific Research Group (SRGE) and a professor of Information Technology at the Faculty of Computer and Artificial Intelligence, Cairo University. Professor Hassanien is an ex-dean of the faculty of computers and information, Beni Suef University. Professor Hassanien has more than 800 scientific research papers published in prestigious international journals and over 40 books covering such diverse topics as data mining, medical images, intelligent systems, social networks, and smart environment. Prof. Hassanien won several awards, including the Best Researcher of the Youth Award of Astronomy and Geophysics of the National Research Institute, Academy of Scientific Research (Egypt, 1990). He was also granted a scientific excellence award in humanities from the University of Kuwait for the 2004 Award and received the scientific—University Award (Cairo University, 2013).