Proceedings of Seventh Doctoral Symposium on Computational Intelligence

DoSCI 2026, Volume 1
Erscheinungsjahr 2026
ISBN: 978-3-032-35074-9
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 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.

Swaroop, Abhishek

Kansal, Vineet

Hassanien, Aboul Ella

Fachgebiete

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

Inhaltsverzeichnis

The Intervening Roles of Computational Intelligence Readiness and Employee Engagement in Malaysian Public Universities.- Neural Network-Based Performance Evaluation Framework for Administrative Staff: A Case Study at City University Malaysia.- Bottleneck Identification and Risk Assessment of Shanghai's Interprovincial AC Power Receiving Channels under the Impact of Major 50 project integration.- Aspect-Based Sentiment Analysis of Patient Reviews for Quality Assessment in Bhubaneswar Hospitals.- Explainable Machine Learning Framework for Accurate Photovoltaic Power Prediction under Real-World Climatic Variability.- Exploring the Interactive Relationship Between AI-Enabled ICT, FDI, Services Trade, and China's Economic Growth: Evidence from a VAR Approach.- The Moderating Role of AI-Powered Personalization in the Relationship Between Customer Experience and E-Commerce Platform Loyalty.- Optimizing the Parameters of GMM for a Speech-Based Marathi Dialect Classification.- Understanding E-Commerce Platform Loyalty in Ho Chi Minh City: The Mediating Role of E-Satisfaction with Contextual Control from Guangzhou, China.- An XAI-GenAI Framework for Stress Management in Working Professionals.- Silentwing-X-Development of a Noise Free Drone Using Propeller Based ANC Technology.- Bridging Accuracy and Interpretability in Syngas Yield Prediction.- Scientific analysis of human survival in diverse economic conditions - based optimization algorithm for active power loss diminution.- Review on Advanced Noise-Reduction Filters: Comparative Performance and Image Quality Enhancement in Digital Medical Imaging.- Sunlight-Ventilation-Privacy Coupling-Driven Morphology Generation for High-Density Cities.- A Cloud-Enabled Hybrid Framework for Secure Compression and Encryption of Medical Images in Healthcare Systems.- Phishing Detection and SMS Spam/Smishing Classification Using Deep Learning.- Anchor Drift: Semantic Shifts and Boundary Analysis for AI-generated Text Detection with Natural Language Inference Verification.- HalluGuard: An Uncertainty-aware Self-Evaluation Approach for Hallucination Detection.- GeneTrace: A Bio-Inspired Detection of Hallucinations in Large Language Models.- Recent Trends in Breast Cancer Detection and Classification: A Machine Learning and Deep Learning Perspective.- Fairness and Bias Detection for Societal Decision-Making: A Cross-Domain Study.- Data-Driven Structural Analysis of Product Networks Using Graph-Theoretic and Spectral Techniques.- Enhancing Clinical Risk Prediction of Liver Disease in Indian Patients Through Advanced Logistic Regression.- Flora Energy: Leveraging Photosynthesis for Sustainable Energy from Plants.- Electricity Generation from Microbial Fuel Cell using Sugarcane Waste.- Lightweight Data Synchronization Protocol for Distributed Collaborative Music Creation.- Huber-Ridge: A Robust Ridge Regression Estimator with Huber Loss and Robust Cross-Validation.- Modelling Dengue Dynamics with Zero-Inflated and Overdispersed Count Regression under Climatic Complexity.- Evaluating Imputation Techniques in Modelling Child Immunization Rates Using Beta Regression in India.- Modeling Skewed Air Quality Data With Gamlss: A Case Study of Pmid Concentra in Karnataka, India.- Impact of Color Normalization and Hyperparameter Tuning on Colon Cancer Histopathology Image Classification using ResNet-50.- A Machine Learning Approach for Crop Yield Prediction on SPAS-Dataset-BD.- Tracing the Advances in Breast Cancer Prediction: A Chronological Review of AI-Driven Techniques.- A Weighted Hybrid Model Integrating ARIMA and CNN for Enhanced Stock Market Forecasting.- Phishing within the realm of Cybersecurity: An In-Depth Examination, Recognizing Issues and Suggested Recommendations.- Machine Learning Approaches for Educational Data Mining: Enhancing Student Performance Assessment.- Quality Prediction for Multi-Stage Machining Processes: Deep Learning Model Integrating Process Parameters and Vibration Signals.- Sky High Expectations: Analysing Passenger Preferences in the Airline Industry.- Developing an Integrated Framework for Suicide Risk Prediction: Evidence from a Primary Survey.- Financial Market Forecasting: An Evaluation of Hybrid Models on the BSE Healthcare Index.- Man-in-the-Middle Attack Prevention Using STS Protocol with Elliptic Curve Cryptography.- An Interpretable Ensemble Machine Learning Approach for Emission Modeling of an Ammonia-Powered Dual-Fuel Engine.- From Design to Decision Architecture: Reframing the SOR Model with AI in Emerging Creative Markets.- A Sustainable Lightweight Data Optimisation Approach for IoT Infrastructure in Connected Cities.- Analysis of SVM and CNN Techniques for Automated Classification of Rice Blast Disease From Leaf Images.- Intelligent Traffic Organization and Dynamic Cooperative Path Planning for Ships in Complex Waters.- The Mediating Role of AI Integration Between Technology Adoption Factors and Operational Performance in the Catering Enterprises, Guizhou, China.- Early Warning System for Financial Distress in Indian Banks: A Statistical and Machine Learning Approach.- Research on High efficiency Data Storage and Exchange Technology of Industrial Control Network Based on PLC.

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, and Head of training and placements. Currently, he is serving as Professor and HoD of the 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 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. Also, he was honored in Egypt as Best Researcher at Cairo University in 2013.