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Deep Learning and Visual Artificial Intelligence de Vishal Goar

Deep Learning and Visual Artificial Intelligence: Algorithms for Intelligent Systems

Editat de Vishal Goar, Aditi Sharma, Jungpil Shin, M. Firoz Mridha
en Limba Engleză Hardback – 18 sep 2024

Notăm cu interes apariția volumului Deep Learning and Visual Artificial Intelligence, o resursă tehnică ce sintetizează cele mai recente progrese prezentate în cadrul conferinței ICDLAI din martie 2024. Într-o eră în care viziunea artificială evoluează accelerat, această lucrare se concentrează pe arhitecturi avansate de deep learning și aplicațiile lor practice în procesarea semnalelor vizuale. Putem afirma că relevanța acestui volum rezidă în abordarea integrată a detectării obiectelor și a recunoașterii tiparelor, oferind o perspectivă riguroasă asupra modelelor computaționale care definesc prezentul domeniului.

Din punct de vedere structural, cele peste 500 de pagini sunt susținute de un aparat grafic impresionant, incluzând 140 de ilustrații care facilitează înțelegerea fluxurilor de date și a arhitecturilor de rețea. Cititorul care a aplicat deja ideile din Advanced Methods and Deep Learning in Computer Vision de E. R. Davies va găsi aici o completare necesară prin studii de caz de ultimă oră și implementări specifice anului 2024, trecând de la fundamentele teoretice la soluții aplicate în timp real. În timp ce lucrări precum AI Deep Learning in Image Processing se axează pe mecanismele de bază, volumul coordonat de Vishal Goar și colegii săi pune accent pe cercetarea experimentală și pe validarea modelelor în scenarii complexe.

Această publicație continuă direcția academică stabilită de editori prin lucrări anterioare, cum este Advances in Information Communication Technology and Computing. Dacă acea lucrare oferea o privire de ansamblu asupra tehnologiei informației la nivelul anului 2019, noul titlu din seria Algorithms for Intelligent Systems demonstrează o specializare profundă în inteligența vizuală, reflectând maturizarea algoritmilor de învățare profundă și capacitatea lor crescută de a procesa date vizuale eterogene.

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Specificații

ISBN-13: 9789819745326
ISBN-10: 9819745322
Pagini: 568
Ilustrații: Approx. 500 p. 140 illus., 70 illus. in color.
Dimensiuni: 160 x 241 x 34 mm
Greutate: 1.11 kg
Ediția:2024
Editura: Springer
Colecția Algorithms for Intelligent Systems
Seria Algorithms for Intelligent Systems

Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm această carte cercetătorilor și inginerilor care au nevoie de o documentare tehnică actualizată la nivelul anului 2024. Cititorul câștigă acces la metodologii validate de peer-review în domenii critice precum detectarea obiectelor și recunoașterea tiparelor. Este un instrument esențial pentru cei care doresc să implementeze soluții de inteligență artificială vizuală bazate pe cele mai noi arhitecturi de rețele neurale.

Despre autor

Editorii acestui volum, printre care se numără Vishal Goar și Aditi Sharma, sunt cadre didactice și cercetători cu o experiență vastă în organizarea conferințelor internaționale de profil sub egida Springer. Vishal Goar este recunoscut pentru coordonarea lucrărilor științifice la Government Engineering College Bikaner, având un istoric solid în editarea volumelor ce vizează progresele în tehnologia informației și comunicații. Expertiza colectivă a editorilor, completată de contribuțiile lui Jungpil Shin și M. Firoz Mridha, asigură o selecție riguroasă a lucrărilor, axată pe inovație algoritmică și aplicabilitate în ingineria sistemelor inteligente.

Descriere scurtă

This book features high-quality research papers presented at the International Conference on Deep Learning and Visual Artificial Intelligence (ICDLAI), held at Government Engineering College Bikaner, Bikaner, India, during March 16–17, 2024. The book presents diverse range of topics, including advanced deep learning techniques, neural networks, image processing, object detection, and pattern recognition.

Notă biografică

Dr. Vishal Goar is currently working as an Assistant Professor at Engineering College Bikaner, he is the former Dean of Research at Bikaner Technical University, Bikaner. He has wide experience of 17 years as an academician, a researcher, and in industry. He has published 46 research papers in international journals (SCI/Scopus/WoS) and presented 41 papers at national/international conferences. He has edited/authored 11 books including reference, text, and edited books of Springer, Singapore, ACM USA, and Scholars-Press, Germany. He has published two patents and 3 patent grants to his credit. He supervised 6 Ph.D. research scholars in areas of cloud computing, software development, neural networks, and deep learning. He also served as an organizing chair, the convener, and the publicity chair of various Springer/IEEE/ACM internationally renowned conferences such as AICTC and ICACCA. His research areas include Artificial Intelligence, Cloud Computing, IoT, and Deep Learning. He is a life member of Professional Bodies such as IEANG, ISTE, IACSIT, UACEE, CSTA, SDIWC, and CSI. He has served as a technical program committee (TPC) member and a reviewer in various Springer, IEEE international conferences, ICACE, ICCECT, ICCSIE, and many more. He was invited as an invited speaker/resource person in TEQIP III Faculty Development Programs and delivered keynotes at international conferences such as SmartCom-2020. He is also serving as a member of the Board of Studies for prestigious universities such as Bikaner Technical University, Bikaner, Maharaja Ganga Singh University, Bikaner, and Tantia University, Sriganganagar. He is a member of the Research Board at Bikaner Technical University, Bikaner. He is also working as an editorial board member, an advisory board member, and a reviewer of many international journals.
 
Dr. Aditi Sharma holds a degree of B.Tech. from Mody Institute of Technology and Science, Lakshmangarh, and a Ph.D. degree from MBM Engineering College, JNVU, India. She is working as an associate professor at Symbiosis Institute of Technology, Symbiosis International University, Pune. She has 15 years of teaching experience and also worked as a post-doctoral fellow at the School of Engineering and Digital Sciences at Nazarbayev University, Kazakhstan, in the area of Intelligent Cryptosystems, IoT, and cloud in Robotics. She is the visiting faculty at Astana IT University, Kazakhstan, and the University of Uyo Nigeria. Dr. Aditi Sharma has published 65 research papers in international journals SCI, ESCI, Scopus, and national/international conferences and authored four books and 19 patents. She is an active member of the IEEE 5G security group and is the IEEE senior member and a life member of Professional Bodies such as the Cryptology Society of India, IEANG, and N2women Society. Her research area includes cryptography, blockchaining, VLSI, cellular automata, machine learning, AI chatbots, IoT, and artificial intelligence. Dr. Aditi Sharma organized various workshops, industrial visits, and conferences during her career. She achieved many awards and scholarships including the Nav Shakti Award from the North Eastern Council, Ministry of DoNER, and the Government of India; Parvati-Chanda Devi and Gargi scholarships and Awards from Madan Lal Khurana, Sunil Dutt, and APJ Abdul Kalam. She also got the Best Teacher Award by the Rajasthan Patrika Group.
 
Jungpil Shin (Senior Member, IEEE) received a B.Sc. in Computer Science and Statistics and an M.Sc. in Computer Science from Pusan National University, Korea, in 1990 and 1994, respectively. He received his Ph.D. in computer science and communication engineering from Kyushu University, Japan, in 1999, under a scholarship from the Japanese government (MEXT). He was an Associate Professor, a Senior Associate Professor, and a Full Professor at the School of Computer Science and Engineering, The University of Aizu, Japan in 1999, 2004, and 2019, respectively. His research interests include pattern recognition, image processing, computer vision, machine learning, human-computer interaction, nontouch interfaces, human gesture recognition, automatic control, Parkinson’s disease diagnosis, ADHD diagnosis, user authentication, machine intelligence, bioinformatics, as well as handwriting analysis, recognition, and synthesis. He is a member of ACM, IEICE, IPSJ, KISS, and KIPS. He served as general chair, program chair, and committee for numerous international conferences. He serves as an Editor of IEEE journals, Springer, Sage, Taylor & Francis, MDPI Sensors and Electronics, and Tech Science. He serves as an Editorial Board Member of Scientific Reports. He serves as a reviewer for several major IEEE and SCI journals. He has co-authored more than 400 published papers for widely cited journals and conferences.
 
Dr. M. F. Mridha (the senior member, IEEE) is currently working as an associate professor in the Department of Computer Science at American International University-Bangladesh (AIUB). Before that he worked as an associate professor and the chairman in the department of CSE of Bangladesh University of Business and Technology. He also worked as a CSE department faculty member at the University of Asia Pacific and as a graduate head from 2012 to 2019. He received his Ph.D. in AI/ML from Jahangirnagar University in the year 2017. His research experience, within both academia and industry, results in over 120 journal and conference publications. His research work contributed to the reputed Journal of Scientific Reports–Nature, Knowledge-Based Systems, Artificial Intelligence Review, IEEE Access, Sensors, Cancers and Applied Sciences, etc. His research interests include artificial intelligence (AI), machine learning, deep learning, and natural language processing (NLP). For more than 10 (Ten) years, he has been with the master’s and undergraduate students as a supervisor of their thesis work. His research interests include artificial intelligence (AI), machine learning, natural language processing (NLP), big data analysis, etc. He has served as a program committee member in several international conferences/workshops. He served as an associate editor of several journals including PLOS ONE Journal. He has served as a reviewer of reputed journals and many conferences.

Caracteristici

Presents recent research in artificial intelligence Discusses the outcomes of ICDLAI 2024, held in Bikaner, India during March 2024 Serves as a reference resource for researchers and practitioners in academia and industry