Proceedings of Seventh Doctoral Symposium on Computational Intelligence

DoSCI 2026, Volume 4
Erscheinungsjahr 2026
ISBN: 978-3-032-37100-3
Verlag: Springer

Buch, Englisch, 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

Hassanien, Aboul Ella

Kansal, Vineet

Fachgebiete

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

Inhaltsverzeichnis

Designing of Skip Lot Sampling Plan of type SKSP-2 under the conditions of Energy Consumptions.- Fault Diagnosis and Life Prediction of Bearing Vibration Signals Based on Improved Deep Learning Algorithm.- Comparison of Frequentist and Bayesian Estimation Procedures for Dagum Distribution Parameters Under Adaptive Progressive Type-II Censoring.- Enhancing Offline Gurmukhi Handwritten Text Recognition using Dimensionality Reduction Techniques.- Improved Heart Disease Prediction Through a Multi-Model Voting Ensemble.- Cross Domain Benchmarking of Vision-Language Pre-trained Models for Natural and Medical Imaging.- Integrating Fuzzy Emotion Modeling Into Smart Pet Care : A Data - Driven Approach To Welfare Optimization.- A Novel Approach for Robust Person Re-Identification using Vision Transformers.- Integrating Deep Learning and Statistical Models for Predictive Crime Analysis in India.- DreamLLM: Comparative Analysis of Multilingual LLMs for Symbolic and Cultural Reasoning in Dream Interpretation.- Graph Neural Network-Based Cancer Diagnosis Using Patient Similarity Networks.- IoT-Enabled ECG Heart Disease Prediction Using Stacking Ensemble Learning.- Dynamic Optimization System for PPASBR Composite Modified Asphalt Mixture Mix Proportion Based on Reinforcement Learning.- Federated and Quantum-Enhanced Deep Learning Models for Secure Medical Image Analysis.- Video Forgery Detection Using Multiple Statistical Approach.- Life Cycle Environmental Assessment of Syngas Production from Biomass Gasification.- Deep CNN Framework for Tomato Leaf Disease Detection.- A Review on Deepfake Forgery Detection with Advanced Deep Learning Technologies.- Ultra-High Performance Cervical Cancer Detection Using Ensemble Optimisation-Guided Learning.- ResQMate: An Intelligent Disaster Response Robot with Live Video and GPS Feedback.- Construction and Validation of Computer Big Data Intelligent Algorithm Adaptability for Multi-Scenario Mathematical Modeling.- S-EduNet: Implementing Adaptive Zero Trust Principles for Strengthening Educational Cyber Resilience in Vietnam's Developing Context.- Intelligent Forecasting of Infectious Diseases Using Deep Neural Networks.- An Energy Efficient and Congestion Resilient Routing Algorithm for Wireless Sensor Networks.- Predicting Patient Adaptation to Progressive Addition Lenses: A Machine Learning Framework for Personalized Dispensing.- AI Framework for Automated and Explainable Hiring.- Construction and Verification of Fault Diagnosis Model Based on Artificial Intelligence in Electrical Engineering Automation.- Interpretable Data-Driven Digital Twin for Predicting Battery States in Electric Vehicles.- A Hybrid Deep Learning and Graph-Based Model for Real-time Financial Fraud Detection and Compliance Risk Analysis.- Impact of Sleep Duration on Memory Recall Score.- An Embedded IoT Architecture for Real-Time ICU Patient Monitoring and Emergency Alert Generation.- Continual Learning Algorithms for Lifelong Adaptive Intelligent Systems.- Decision Tree-Based Prediction of Water Extraction in a Hybrid Humidification-Dehumidification Cooling System.- AI-Driven Algorithmic Trading on FPGA-Accelerated Hardware for Real-Time Equity Market Execution.- Dynamic Monitoring and Control of Highway Engineering Construction Quality Empowered by Computer Big Data Intelligent Algorithms.- Biomechanical Design Optimization of an Assistive Motorized Pedaling Mechanism for Geriatric Rehabilitation.- Stage-Aware Self-Supervised Learning for Robust Detection of Plant Stress and Disease from Crop Images.- Collaborative Risk Assessment Framework for Cross-Regional Engineering Project Financing Based on Federated Learning.- Monitoring of Heart Condition Using Phonocardiogram and the Analysis of its Murmur's sounds.- Gesture Recognition of Sign Language using Advanced Feature Engineering Method with Machine Learning and Deep Learning.- Macroeconomic Drivers of U.S. GDP: An ARDL Perspective.- AI-assisted Cross-border Logistics Cost Prediction Mechanism in Trade Digital Transformation.- A hybrid VMD-XGBoost-LSTM Framework to Forecast Short-Term Electricity Demand in India.- Intelligent Operation and Maintenance of Transportation Infrastructure and Path to Carbon Neutrality.- Improved Data Transformation and Ensemble ML Techniques for Early Diabetes Disease Prediction.- Plant Disease Classification for Mobile devices using Transfer learning.- Design and Empirical Analysis of Financial Fraud Detection Algorithms Based on Blockchain and Artificial Intelligence.- Effective Data Preprocessing Combined With Ensemble Ml Methods For Early Cardiac Disease Prediction.

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. 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. He has authored 3 books and 5 book chapters. He was Convener of recently organized national conference NCCIN 2K18.

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 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 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 Founder and Head of the Egyptian Scientific Research Group (SRGE) and Professor of information technology at the Faculty of Computer and Artificial Intelligence, Cairo University. Professor Hassanien is 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). Also, he was honored in Egypt as Best Researcher at Cairo University in 2013.