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Artificial Intelligence: Theory and Applications: Lecture Notes in Networks and Systems, cartea 5589

Editat de Harish Sharma, Antorweep Chakravorty, Shahid Hussain, Rajani Kumari
en Limba Engleză Paperback – 25 iun 2025

Descoperim în Artificial Intelligence: Theory and Applications o resursă tehnică de nivel avansat, destinată cercetătorilor, doctoranzilor și profesioniștilor din industria IT care dețin deja baze solide în algoritmi de învățare automată și structuri de date. Reținem că acest volum nu este un curs introductiv, ci o compilație densă de 788 de pagini care necesită o înțelegere prealabilă a modelelor matematice din spatele inteligenței artificiale.

Publicat în prestigioasa serie Lecture Notes in Networks and Systems de la Springer, volumul se concentrează pe rezultatele conferinței AITA 2023. Structura sa este una aplicată, trecând dincolo de simpla teorie pentru a explora implementări concrete în sectoare critice: de la diagnosticarea în medicină și modelarea riscului în finanțe, până la optimizarea fluxurilor de transport. Această abordare diferă de cea din Recent Advancements in Artificial Intelligence de Richi Nayak prin faptul că este mai puțin abstractă, fiind orientată spre rezolvarea unor probleme specifice de domeniu prin studii de caz și arhitecturi de sistem validate.

Considerăm că această lucrare continuă direcția editorială stabilită de Harish Sharma și colegii săi în lucrările anterioare, precum Communication and Intelligent Systems sau Third Congress on Intelligent Systems. Dacă volumele precedente puneau accent pe infrastructura de comunicare și sistemele inteligente generale, lucrarea de față rafinează aceste concepte, aplicându-le direct în mediul de producție și cercetare aplicată. Tonul este riguros, specific literaturii academice, oferind diagrame de flux, rezultate experimentale și analize comparative ale performanței algoritmilor utilizați.

Citește tot Restrânge

Din seria Lecture Notes in Networks and Systems


Specificații

ISBN-13: 9789819616862
ISBN-10: 9819616867
Pagini: 788
Dimensiuni: 155 x 235 x 40 mm
Greutate: 1.31 kg
Editura: Springer
Colecția Lecture Notes in Networks and Systems
Seria Lecture Notes in Networks and Systems


De ce să citești această carte

Pentru specialiștii care vor să vadă cum se transformă cercetarea de ultimă oră în soluții viabile, acest volum oferă o perspectivă tehnică asupra AI aplicate în sănătate sau finanțe. Cititorul câștigă acces la metodologii noi și arhitecturi de sistem prezentate la conferința AITA 2023, fiind un instrument esențial pentru actualizarea cunoștințelor într-un domeniu care evoluează rapid.


Despre autor

Harish Sharma, împreună cu echipa de editori formată din Antorweep Chakravorty, Shahid Hussain și Rajani Kumari, reprezintă o autoritate în coordonarea conferințelor internaționale dedicate tehnologiilor emergente. Cu o experiență vastă în mediul academic din India, Sharma a editat numeroase volume pentru Springer, inclusiv lucrări fundamentale prezentate la congrese de sisteme inteligente și comunicare. Expertiza sa se concentrează pe transformarea cercetării teoretice în documentație tehnică riguroasă, facilitând schimbul de idei între mediul universitar și industrie prin serii recunoscute la nivel mondial precum Lecture Notes in Networks and Systems.


Descriere scurtă

This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), held during 11–12 August 2023 in Bengaluru, India. The book is divided into two 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.


Notă biografică

Harish Sharma is an associate professor at Rajasthan Technical University, Kota, in Department of Computer Science & Engineering. He has worked at Vardhaman Mahaveer Open University, Kota, and Government Engineering College Jhalawar. He received his B.Tech. and M.Tech. degrees in Computer Engineering from Government Engineering College, Kota, and Rajasthan Technical University, Kota, in 2003 and 2009, respectively. He obtained his Ph.D. from ABV-Indian Institute of Information Technology and Management, Gwalior, India. He is the secretary and one of the founder members of Soft Computing Research Society of India. He is a lifetime member of Cryptology Research Society of India, ISI, Kolkata. He is an associate editor of International Journal of Swarm Intelligence (IJSI) published by Inderscience. He has also edited special issues of the many reputed journals like Memetic Computing, Journal of Experimental and Theoretical Artificial Intelligence, Evolutionary Intelligence, etc. His primary area of interest is nature inspired optimization techniques. He has contributed in more than 105 papers published in various international journals and conferences.
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, health care, and smart city domains. Antorweep completed his Ph.D. 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. Shahid Hussain is working at University of Canberra as an associate professor of Biomedical Robotics. Prior to that, he has worked as a lecturer at University of Wollongong, Australia. Dr. Hussain has obtained his Ph.D. 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, nonlinear dynamics and control of robotic systems, human–robot interaction, biomechanical modeling, 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 Ph.D. degree in computer science in 2015, the M.C.A. and B.C.A. 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 International Journal of Intelligent Information and Database Systems (IJIIDS). Her research interests include Nature-Inspired Algorithms, Swarm Intelligence, Soft Computing, and Computational Intelligence.


Caracteristici

Presents high-quality research in the areas of artificial intelligence and its applications Features the outcomes of AITA 2023, held in Bengaluru, India Serves as a reference resource for researchers and practitioners in academia and industry