Smart Computing Paradigms: Artificial Intelligence and Network Applications

Proceedings of Eighth International Conference on Smart Computing and Informatics (SCI 2026), Volume 1
Erscheinungsjahr 2027
ISBN: 978-3-032-39296-1
Verlag: Springer

Buch, Englisch, 530 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Networks and Systems

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.

Zielgruppe

Research

Autoren/Hrsg.

Bhateja, Vikrant

Ngoc, Le Anh

Hoong, Angela Lee Siew

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

LLM-based sentiment analysis of travel reviews: a case study of Kobe, Japan.- Blood Cell Classification based on Semi-supervised Learning with Cross-Dilated Spatial Attention and KAN architecture.- Applying DevSecOps for Secure Software Deployment in Cloud Computing Environments.- Detecting Abnormal Behaviour on University Campuses.- Enhancing Underwater Object Detection via GAN- Synthesized Data.- Can Virtual Agents Care? Designing an Empathetic and Personalized LLM-driven Conversational Agent.- Securing Payloads in Modern Cyber Systems: A Comprehensive Survey of Challenges, Techniques, and Emerging Solutions.- EEG-Based Cognitive Authentication: A Scalable and Privacy-Preserving Neurosecurity Framework.- Comparative Analysis of Deep Learning Models on Lightweight Token-Based Graphs for Source Code Vulnerability Detection.- LawPilot: An Intelligent Legal Research Platform Using Semantic Embeddings and Retrieval Augmented Generation.- LLM Evaluation of Few-Shot Prompting and LlamaIndex- Enhanced Text-to-SQL Generation.- Crack Detection Using Deep Learning Models.- PRIVACY-PRESERVING BIG DATA ANALYTICS USING HOMOMORPHIC ENCRYPTION FOR SMART COMPUTING.- Emotion Detection from Speech Using Hybrid Classical-Quantum Neural Networks.- Deepfake Video Detection Techniques Using Pre- Trained Xception, EfficientNetB0, Mobile NetV2, ResNet50, and DenseNet 121 Neural Networks.- Etc.

Über Autor(innen)

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.

Le Anh Ngoc (Jimmy) is a Professor of Information Technology and the Director of the Swinburne Innovation Space at Swinburne University of Technology, Vietnam. With nearly 30 years of experience spanning both academia and the technology industry, he is a leading expert in innovation management and technology transfer. Dr. Le holds a Ph.D. in Information and Communication Engineering from Kyungpook National University in South Korea, where he was a recipient of the prestigious Brain Korea 21 Scholarship.His extensive research portfolio includes over 150 published works focusing on Artificial Intelligence, the Internet of Things (IoT), smart networks, and 5G communication systems. Beyond his role at Swinburne, he has served as the Dean of the Faculty of Semiconductor & Artificial Intelligence at Asia University, Vietnam, since 2025. He is deeply involved in the global academic community as the Chair of the International Conference on Intelligent Systems and Networks (ICISN) and as an associate editor for journals such as IET Smart Cities. Dr. Le also provides strategic consultancy as a mentor for various international innovation networks, including the Vietnam–Korea Businessmen and Investment Association.

Angela Lee Siew Hoong is Deputy Dean (Employability & Alumni) at the School of Engineering and Technology, Sunway University, Malaysia. Prof Angela Lee has been developing data science curriculum more than 10 years and she is the key person to introduce Data Science degree at Sunway University. She was recently awarded the National Outstanding Educator Award and SAS Global Forum Distinguished Educator Award for Asia Pacific Category. She regularly speaks at data science conferences. Angela has developed many innovative ways to use analytics and data science tools from the most elementary level to advanced analytics. She teaches Social Media Analytics, Visual Analytics, Advanced Analytics and Business Intelligence and has authored many published international journals in the area of churn analytics, sentiment analysis and predictive analytics.