KI-Beratung Beta

Produktbild: Proceedings of International Conference on Computational Intelligence and Information Retrieval
Band 2218 Vorbesteller

Proceedings of International Conference on Computational Intelligence and Information Retrieval ICCIIR 2026, Volume 2

307,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

24.02.2027

Abbildungen

XV, 643 p. 226 illus., 195 illus. in color.

Herausgeber

Abhishek Bhattacharya + weitere

Verlag

Springer

Seitenzahl

643

Maße (L/B)

23,5/15,5 cm

Sprache

Englisch

ISBN

978-3-032-38016-6

Beschreibung

Portrait

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.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

24.02.2027

Abbildungen

XV, 643 p. 226 illus., 195 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

643

Maße (L/B)

23,5/15,5 cm

Sprache

Englisch

ISBN

978-3-032-38016-6

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Proceedings of International Conference on Computational Intelligence and Information Retrieval
  • 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.