Bhateja / Pham / Omar | Smart Computing Paradigms: Advanced Data Mining and Analytics | Buch | 978-3-032-39318-0 | www.sack.de

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

Reihe: Lecture Notes in Networks and Systems

Bhateja / Pham / Omar

Smart Computing Paradigms: Advanced Data Mining and Analytics

Proceedings of Eighth International Conference on Smart Computing and Informatics (SCI 2026), Volume 2
Erscheinungsjahr 2026
ISBN: 978-3-032-39318-0
Verlag: Springer

Proceedings of Eighth International Conference on Smart Computing and Informatics (SCI 2026), Volume 2

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

Reihe: Lecture Notes in Networks and Systems

ISBN: 978-3-032-39318-0
Verlag: Springer


This book presents best-selected papers presented at the 8th International Conference on Smart Computing and Informatics (SCI 2026), held at Swinburne University of Technology, Hanoi, Vietnam, during 28 – 29 April 2026. It presents advanced and multidisciplinary research towards the design of smart computing and informatics. The theme is on a broader front and focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries. The scope is also extended towards the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and healthcare. The work is published in five volumes.

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Weitere Infos & Material


On the Impact of Distance Metrics on Land Use and Land Cover Image Clustering.- QbD-driven Design and Development of Polysaccharide-Based Polymeric Nanoparticles for Targeted Lung Cancer Therapy: A Computational Statistical Approach.- Perception on Smart Government System and Organization Performance of Selected Local Government Units in Cavite.- Implementation of New Stable and Density Based Incremental Clustering Approach for Detection of Outliers.- Implementation of New Stable and Density Based Incremental Clustering Approach for Detection of Outliers.- AI-Driven Tag Generation for Media Searchability: An Exhaustive Analysis.- Smart Computing Using Machine Learning for Poverty and Education Outcome Prediction: : A Review Comparison.- Interpreting Regression Models with SHAP: Electronic Nose Sensor Data Analysis.- Decision-Centric School MIS: A Five-Stage Governance Framework for Turning Data into Administrative Action.- A Review on Sentiment Analysis of Online Delivery Applications.- LLM-Guided Semantic Feature Selection for Interpretable and Robust Carbon Price Forecasting: Evidence from the EU ETS.- Hybrid QSVM and Explainable AI for Cardiac Risk Prediction.- A Novel Taxonomical Framework  for E-Commerce Fraud:  Classification, Analysis, and a Projection for AI-Driven Mitigation.- Human-Centered Smart Computing Approach for Elderly Driver Risk Assessment Using Computer Vision Analytics and Dashboard Prototype.- Data-Centric Fine-Tuning for Robust Banana Detection Using YOLO-Based Deep Learning.- AI-assisted Analysis of Fertility Intentions in Chinese Social Media: A Human-in-the-loop Topic Modeling Study.- Detection and Mitigation of Textual Deepfakes and Misinformation: A Review of Content, Context, and Multi-modal Fusion Systems.- Etc.


Vikrant Bhateja is associate professor in Department of Electronics Engineering, Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India. He is also serving as Head: Computer Sc. Engg. & Information Technology in the same university. He holds a doctorate in ECE (Bio-Medical Imaging) with a total academic teaching experience of 21 years with around 190 publications in reputed international conferences, journals and online book chapter contributions; out of which 40 papers are published in SCIE indexed high impact factored journals. One of his papers published in Review of Scientific Instruments (RSI) Journal (under American International Publishers) has been selected as “Editor Choice Paper of the Issue'' in 2016. Among the international conference publications, five papers have received “Best Paper Award''. He has been instrumental in chairing/co-chairing around 30 international conferences in India and abroad as Publication/TPC chair and edited 55 book volumes from Springer-Nature as a corresponding/co-editor/author on date. He has delivered nearly 25 keynotes, invited talks in international conferences, ATAL, TEQIP and other AICTE sponsored FDPs and STTPs. He has been Editor-in-Chief of IGI Global--International Journal of Natural Computing and Research (IJNCR) journal from 2017-22. He is guest editor in journals like: Elsevier: Measurement, Springer: Evolutionary Intelligence. He is Senior Member of IEEE and Life Member of CSI.

Hai Van Pham received the Doctor of Engineering (Ph.D.) degree from Ritsumeikan University, Japan. He is currently an Associate Professor with the School of Information and Communication Technology, Hanoi University of Science and Technology. He has published over 150 research papers in international journals and conference proceedings in ISI/ Scopus index. He is a senior expert, conducted research projects in applied AI and industry 4.0. His current research interests include artificial intelligence, fuzzy logics, fuzzy graph, fuzzy knowledge graph, rule-based systems and fuzzy systems, soft computing, machine learning and big data analysis in the trends of digital transformation, and industry 4.0. He served as a member of program, an associate editor, technical committees for international conferences, and a reviewer for international conferences and journals: IEEE TRANSACTION, IEEE ACCESS, Soft Computing, Engineering applications of Artificial Intelligence and Neural Computing and Applications.

Zaid Omar (Senior Member, IEEE) received the master’s degree in data communications from The University of Sheffield and the Ph.D. degree in electrical engineering from the Imperial College London, in 2012. He is currently an Associate Professor with Universiti Teknologi Malaysia. His research interests include computer vision, medical imaging, and image fusion. Dr. Omar was crowned the best science communicator for FameLab Malaysia 2017-- one of the biggest science communication competitions in the world organised by British Council.



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