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Artificial Intelligence and Data Science Based R&D Interventions: Proceedings of NERC 2022 de Ratnajit Bhattacharjee

Artificial Intelligence and Data Science Based R&D Interventions: Proceedings of NERC 2022

Editat de Ratnajit Bhattacharjee, Debanga Raj Neog, Konda Reddy Mopuri, Santosh Kumar Vipparthi
en Limba Engleză Hardback – 5 sep 2023

Abordarea practică a acestui volum de la Springer se concentrează pe echilibrul dintre algoritmii teoretici și implementările software concrete, oferind soluții pentru provocări reale din cercetare și dezvoltare. Reținem din cuprinsul lucrării o tranziție clară de la lingvistica computațională la aplicații industriale riguroase. Găsim în această carte exemple de utilizare a Python în ingineria petrolieră și modele de deep learning pentru detecția textului în timp real în scene naturale. Structura este organizată tematic, facilitând navigarea de la prelucrarea semnalelor la analiza predictivă pentru managementul urban. Cititorul care a aplicat ideile din Advances in Data Science and Computing Technologies de Basabi Chakraborty va găsi aici o aprofundare a intervențiilor de nișă, unde inteligența artificială pătrunde în domenii extrem de specifice, precum designul profilului de foraj sau identificarea tonală în limbi regionale. Ne-a atras atenția modul în care autorii documentează procesul de retrofitting al modelelor de machine learning pentru prognoza deșeurilor, oferind un cadru metodologic ce poate fi replicat în diverse contexte de smart city.

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Specificații

ISBN-13: 9789819926084
ISBN-10: 9819926084
Pagini: 205
Ilustrații: XXVIII, 205 p. 113 illus., 85 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.54 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore

De ce să citești această carte

Această carte este esențială pentru cercetătorii și inginerii care doresc să vadă AI-ul la lucru în scenarii tehnice complexe. Cititorul câștigă o perspectivă aplicată asupra modului în care machine learning rezolvă probleme de procesare a semnalului și inginerie civilă. Este un motiv concret de achiziție pentru cei interesați de studii de caz actuale, unde teoria este transformată rapid în aplicații funcționale de tip R&D.

Despre autor

Editorii acestui volum, Ratnajit Bhattacharjee, Debanga Raj Neog, Konda Reddy Mopuri și Santosh Kumar Vipparthi, sunt specialiști recunoscuți în domeniile inteligenței artificiale și procesării semnalelor. Activitatea lor academică și de cercetare se concentrează pe aplicarea tehnicilor de deep learning în rezolvarea unor probleme fundamentale de inginerie și lingvistică. Prin coordonarea lucrărilor conferinței NERC 2022, aceștia au reușit să sintetizeze direcții inovatoare de R&D, facilitând schimbul de cunoștințe între mediul academic și cel industrial, cu un accent deosebit pe dezvoltările tehnologice din regiunea Asiei de Sud-Est.

Descriere scurtă

This book title is a composition of multiple research efforts that are based on cutting-edge Artificial Intelligence (AI) techniques. Some of the signal processing problems are addressed with techniques from the broad areas of machine learning and deep learning.

Cuprins

Negation in A Language.- A Computational Approach for the Tonal Identification in Bodo Language.- Real-Time Detection of Natural Scene Assamese Texts using Deep Learning.- Development Of Directional Drilling Well Profile Design App Using Python.- Prediction and forecasting municipal solid waste generation of Northeastern cities by retrofitting ML models of Guwahati, India.

Notă biografică

Dr. Ratnajit Bhattacharjee joined IIT Guwahati in the year 2002 and currently is a Professor in the Department of Electronics and Electrical Engineering. His research interests include Wireless communication, Wireless networks, Microstrip antennas, Microwave Engineering and Electromagnetics. He has co-authored about one hundred and sixty research papers. Nineteen research students have completed their PhD under his supervision and at present several research scholars are working under his guidance. He has served as a General Chair for 5th edition of IEEE Applied Electromagnetic Conference, AEMC 2015 and 22nd National Conference on Communications, NCC 2016, Chair for the 18th National Power System Conference, NPSC 2014 . He has served as Head, Electronics and Electrical Engineering, IIT Guwahati, from 2011 to 2014. He has delivered invited talks in a number of conferences, symposia and workshops. He has developed a web course on Electromagnetic theory and MOOC video course on Microwave Engineering under NPTEL. He has also been involved with several research projects. He is institute coordinator for the ongoing Virtual Lab project of Ministry of Education and served as the Chief Investigator for Ministry of Electronics and Information Technology (MeitY) sponsored project for setting up of an Electronics & ICT academy at IIT Guwahati. He is a member of the Research Advisory Committee of SAMEER (Society for Applied Microwave Electronics Engineering & Research). He is presently Head for the Mehta Family School of Data Science and Artificial Intelligence, IIT Guwahati and also Head of the Computer Communication Centre, IIT Guwahati. Prior to joining IIT Guwahati, he served as a faculty member in REC (at present NIT) Silchar from 1991 to 2002.

Dr. Bhattacharjee completed his B.E. degree (with First Class Hons.) in Electronics and Telecommunication Engineering from REC (at present NIT) Silchar, the M. Tech. degree in Electronics and Electrical Communication Engineering (Specialization: Microwave Engineering) from IIT Kharagpur and the Ph.D. degree in Engineering from Jadavpur University, Kolkata, India.

Dr. Debanga Raj Neog is an Assistant Professor at Mehta Family School of Data Science and Artificial Intelligence (MFSDS&AI), IIT Guwahati. He obtained his Ph.D. in Computer Science from The University of British Columbia (UBC), Vancouver, Canada in 2018 and his B.Tech. in Electronics and Communication Engineering from IIT Guwahati, India. His research interests span across computer vision, computer graphics, machine learning, and virtual/augmented reality. He is a recipient of the Mitacs Globalink Research Award under which he collaborated with researchers in INRIA Grenoble Rhone-Alpes, France. He joined MFSDS&AI, IIT Guwahati in September 2021.

Dr. Konda Reddy Mopuri is currently an assistant professor at the Department of Artificial Intelligence, IIT Hyderabad. Before this he served onthe faculty of IIT Guwahati and IIT Tirupati. He held a post-doctoral position at the School of Informatics, University of Edinburgh, UK. He received his PhD from Dept. of Computational and Data Sciences, IISc Bengaluru. His thesis won the IUPRAI Best doctoral dissertation award and the SPCOM Best doctoral dissertation award for 2018. He publishes his research in top-tier venues such as ICLR, ICML, CVPR, ECCV, WACV, BMVC, Trans. on PAMI, Tran. on Image processing, and Frontiers in Robotics and AI. His work lies broadly in Deep learning, AI, Computer Vision, Image/Signal processing, Data Science.


Dr. Santosh Kumar Vipparthi, a senior member of IEEE, has 12+ years of experience, including teaching and industry. Currently, he is an Assistant Professor at Indian Institute of Technology Ropar (IIT Ropar), India. Before this, he served at the Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology, Guwahati (IITGuwahati) and Malaviya National Institute of Technology (MNIT), Jaipur (An Institute of National Importance and one of the top NITs fully funded by the Ministry of Education, Government of India). He received Ph.D. and MTech degrees with Honors in Systems Engineering from the Indian Institute of Technology Varanasi (IIT Varanasi), BHU, India, and a B.E. degree in Electrical and Electronics Engineering from Andhra University, Andhra Pradesh, India. Dr. Vipparthi’s research in the area of computer vision, affective computing, deep learning, etc. 

Caracteristici

Selected peer-reviewed papers presented in NERC 2022 Enriches understanding by including contributions from policy makers, industrialist and academicians Showcase the best R&D activities from all the educational and research institutions