Proceedings of International Conference on Computational Intelligence and Information Retrieval

ICCIIR 2026, Volume 2
Erscheinungsjahr 2026
ISBN: 978-3-032-38016-6
Verlag: Springer

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

Reihe: Lecture Notes in Networks and Systems

This book features best selected research papers presented at International Conference on Computational Intelligence and Information Retrieval (CIIR 2026) held at Sister Nivedita University, West Bengal, India, during May 6–7, 2026. It comprises high-quality research work by academicians and industrial experts in the field of computational intelligence, pattern recognition, information retrieval, data science and data analytics, advance computing, and artificial intelligence.

Zielgruppe

Research

Autoren/Hrsg.

Bhattacharya, Abhishek

Dutta, Soumi

Yang, Xin-She

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Information Retrieval
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

KG-Augmented RAG: Leveraging Knowledge Graphs in Retrieval-Augmented Generation for Hallucination Mitigation in Large Language Models.- Computational Analysis of Cultural Cognition in Uzbek Folk Songs Using Cognitive Linguistic Modeling.- A Hybrid Vision-Language Framework for Key Information Extraction from Visually Rich Invoices and Receipts.- A Transformer-Driven Cross-Lingual Multimodal Framework for Identifying Hateful Narratives and Harmful Memetic Content in Digital Communication Ecosystems.- Analyzing Emotion Semantics in Social Messaging: A Performance Comparison of GPT and LLaMA.- Sentence Length Sensitivity in Low-Resource Maithili–English Neural Machine Translation.- Improving Rubik’s Cube Solving with Neural-Guided Move Ordering in IDA.- FUSE-FN: Hybrid Fake News Detection with Style-Based Classification and Evidence Verification.- Adaptive Hybrid Search for Legal Information Retrieval.- Hybrid Agentic Recommender Systems for Enhanced Personalization in Modern E-Commerce and Entertainment Systems.- CLASSIC: Comparative LSTM and CNN for Advanced Sentiment Study with Interactive Computing.- Code2Paper: Automated Research Manuscript Generation from Machine Learning Notebooks Using Large Language Models and Retrieval-Augmented Generation.- AI HealthMate: A Multilingual and Vision-Enabled AI Medical Assistant for Accessible Healthcare.- Explainable AI for Trust-Centered Personalized Healthcare: A Lightweight Framework and Empirical Evaluation.- Digital Identity and Self-Concept Formation in Virtual Learning Environments: A Psychological–Computational Perspective.- Modeling Unconscious Cognitive Components in Intelligent Decision-Making Systems.- Multilingual Smartphone-Integrated Artificial Intelligence for Phytopathological Diagnostics and Probabilistic Geo-Spatial Risk Modeling of Crop Diseases.- Identification of Gender Bias in Audio Language Models.- Q-Sentry: A Semantic-Quantum Ensemble for Ethical Classification on Large-Scale Census Benchmarks.

Über Autor(innen)

Dr. Abhishek Bhattacharya is a professor at Sister Nivedita University, India. He has completed his Ph.D. (CSE), BIT, Mesra. He is certified as Publons Academy Peer Reviewer, 2020. His research interests are Data Mining, Cyber security and Mobile Computing. He has published 55 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. He has 3 Book Chapters in Taylor & Francis Group EAI. He is a peer reviewer and TPC member in different international journals. He was the editor in IEMIS 2020, IEMIS 2018, IEMIS 2022, ICIDA 2022, ICIDA 2023, CIIR 2023 and special issues in IJWLTT. He is the member of several technical functional bodies such as IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. He has published 3 patents and 15 books.

Dr. Soumi Dutta is a professor at Sister Nivedita University (SNU) at New Town, Kolkata, India. She has completed her Ph.D. (CST), IIEST, Shibpur. She received her B.Tech. (IT) and M.Tech. (CSE) securing 1st position (Gold medalist), from MAKAUT. She is certified as Publons Academy Peer Reviewer, 2020 and Certified Microsoft Innovative Educator, 2020. Her research interests are Data Mining, Information Retrieval, Online Social Media Analysis and Image Processing. She has published more than 40 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis etc. She has 25 books and book chapters in Taylor & Francis Group and IGI Global. She serves as peer reviewer and TPC member in different international journals. She is an active member of several technical functional bodies such as ACM, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. She has published 8 patents and 1 copyright. 

Dr. Xin-She Yang received the D.Phil. in applied mathematics degree from the University of Oxford, Oxford, UK He was with Cambridge University, Cambridge, UK and National Physical Laboratory Teddington, UK, as a senior research Scientist. He is currently a Reader with Middlesex University London, UK and the Co-Editor of the Springer Tracts in Nature-Inspired Computing. He is also an Elected Fellow of the Institute of Mathematics and its Applications. He was the IEEE Computational Intelligence Society (CIS) Chair for the Task Force on Business Intelligence and Knowledge Management from 2015 to 2020. He has published more than 300 peer-reviewed research papers with more than 82 000 citations and has been on the prestigious list of highly cited researchers (Web of Sciences) for seven consecutive years from 2016 to 2022.