Chakravorty / Hussain / Kumari | Artificial Intelligence: Theory and Applications | Buch | 978-3-032-19178-6 | www.sack.de

Buch, Englisch, Band 1864, 476 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 744 g

Reihe: Lecture Notes in Networks and Systems

Chakravorty / Hussain / Kumari

Artificial Intelligence: Theory and Applications

Proceedings of AITA 2025, Volume 2
Erscheinungsjahr 2026
ISBN: 978-3-032-19178-6
Verlag: Springer

Proceedings of AITA 2025, Volume 2

Buch, Englisch, Band 1864, 476 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 744 g

Reihe: Lecture Notes in Networks and Systems

ISBN: 978-3-032-19178-6
Verlag: Springer


This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2025), held during 1–2 August 2025 in Bengaluru, India. The book is divided into three volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.

Chakravorty / Hussain / Kumari Artificial Intelligence: Theory and Applications jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


Optimizing Long-Form Text Generation using LLaMA model.- Enhancing Clinical Decision-Making through Explainable AI: Integrating Interpretability Techniques for Transparent Healthcare Models.- Deep Learning Framework for Continuous Multimodal Biometric Authentication.- AI Powered Project Intelligence: Transforming Software Development Outcomes through Strategic Implementation.- Towards a Contra-Xtual policy to enhance critical services identification in multi-tenant service-based systems.- Assessment of Transformer-Based Encoder-Decoder Model for Human-Like Summarization..- Autoencoder Approach to Speech Emotion Recognition and Intensity Estimation using Latent Audio Features.-Industry 5.0: The Impact of Artificial Intelligence in Financial Sector.- Explicit and Implicit Knowledge in Deep Learning: A Systematic Review of Cognitive-Inspired Representations.- Artificial Intelligence and Behavioral Economics as Catalysts for Next-Generation Transformative Public Management in Morocco: Integrating Explainable AI, Digital Twins, Smart Logistics, strategic power skills development, and Adaptive Policy Frameworks for Agile, Trans-parent, and Resilient Governance.- VidGyan: AI-Powered Educational Video Generation from Text Prompts.- Digital Twins and Challenges in Mushroom Farming: A Review.- Controlling AI-Produced Content: A Reinforcement Learning Strategy for GAN-Driven Text Creation.- Benchmarking Chlamydia Screening Rates: A Multilevel Regression and PostStratification Approach.- Bibliometric Analysis of Gifts in the Era of E-commerce: A Data Mining Approach.


Dr. Antorweep Chakravorty is an Associate Professor at the University of Stavanger. His current research and development work is in the field of applied Blockchains, Big Data, Large Scale Machine Learning, and Data Privacy. He has an interest in real-world problems, especially development of privacy enabled data-driven services in smart energy, healthcare, and smart city domains. Antorweep completed his PhD. in 2015 with a thesis on Privacy Preserving Big Data Analytics at the University of Stavanger, Norway. Along with having a background in applied research in data-driven solutions, he is also involved in mentoring, teaching and supervision.

Dr. Hussain is working at University of Canberra as Associate Professor of Biomedical Robotics. Prior to that he has worked as lecturer at University of Wollongong, Australia. Dr. Hussain has obtained his PhD in Mechanical Engineering from the University of Auckland, New Zealand in 2013. His research interests include assistive and rehabilitation robotics, compliant actuation of robots, robot mechanism design and optimization, non-linear dynamics and control of robotic systems, human-robot interaction, biomechanical modelling, engineering education and micro electro-mechanical systems (MEMS). Dr. Hussain has published more than 65 papers in the prestigious journals of the field.

Dr. Rajani Kumari is currently an Assistant Professor at IBS, Bangalore, Off-Campus Centre of ICFAI Foundation for Higher Education (IFHE) University, India. Previously she was an assistant professor at IIIM, Jaipur and St. Xavier's College Jaipur, CHRIST University. She received the PhD degree in computer science in 2015, the MCA and BCA from University of Rajasthan in 2010 and 2006 respectively. She has published more than forty research papers in various international journals/conferences and participated in many national and international conferences and workshops. She edited some special issue in Taylor & Francis and Inderscience journals including Journal of Information and Optimization Sciences (JIOS) and Int. J. of Intelligent Information and Database Systems (IJIIDS). Her research interests include Nature Inspired Algorithms, Swarm Intelligence, Soft Computing, and Computational Intelligence.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.