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Machine Intelligence for Research and Innovations de Om Prakash Verma

Machine Intelligence for Research and Innovations: Lecture Notes in Networks and Systems, cartea 832

Editat de Om Prakash Verma, Lipo Wang, Rajesh Kumar, Anupam Yadav
en Limba Engleză Paperback – 3 mar 2024

Găsim în această carte un exemplu remarcabil de aplicabilitate practică în capitolul dedicat proiectării unui senzor pe bază de cărbune pentru analiza solului în agricultura de precizie. Acest tip de abordare demonstrează că volumul nu se limitează la teorie, ci explorează implementări fizice ale inteligenței computaționale. Machine Intelligence for Research and Innovations reunește cercetări prezentate la summitul MAiTRI 2023, oferind o perspectivă tehnică asupra modului în care învățarea automată și deep learning-ul pot optimiza sisteme complexe.

Descoperim aici o structură riguroasă, organizată în jurul unor piloni tehnologici esențiali. Cartea debutează cu soluții pentru gestionarea energiei în vehiculele electrice și avansează spre studii comparative despre algoritmi de optimizare hibrizi pentru modele fotovoltaice. Această progresie de la sisteme energetice la securitate informatică — exemplificată prin analiza schemelor de autentificare bazate pe Kerberos — indică o acoperire vastă a domeniului inteligenței artificiale. Abordarea diferă de Machine Intelligence, Tools, and Applications de Satchidananda Dehuri prin faptul că este mai puțin axată pe aspecte manageriale și conceptuale, fiind mult mai ancorată în aplicații inginerești directe și realizări hardware.

În contextul operei editorilor, acest volum continuă direcția stabilită în Soft Computing: Theories and Applications, dar extinde aria de interes către tehnologii de ultimă oră precum quantum machine learning și viziunea computerizată în timp real. Dacă lucrările anterioare se concentrau pe rezolvarea problemelor din medicină sau logistică, volumul de față, publicat în seria Lecture Notes in Networks and Systems de Springer, pune un accent sporit pe infrastructura critică și sistemele autonome. Este o resursă tehnică ce documentează tranziția de la algoritmi statistici la modele complexe de inteligență artificială aplicată.

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Specificații

ISBN-13: 9789819981281
ISBN-10: 981998128X
Pagini: 372
Ilustrații: XVII, 353 p. 155 illus., 136 illus. in color.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.63 kg
Ediția:2024
Editura: Springer
Colecția Lecture Notes in Networks and Systems
Seria Lecture Notes in Networks and Systems

Locul publicării:Singapore, Singapore

De ce să citești această carte

Pentru cercetători și ingineri, această lucrare oferă acces la implementări concrete ale inteligenței artificiale în domenii industriale. Cititorul câștigă o înțelegere profundă a modului în care algoritmi precum Fuzzy C-Means sau tehnicile de „boosting” sunt aplicate în scenarii reale, de la diagnosticarea riscului cardiac la monitorizarea infrastructurii rutiere, oferind un punct de plecare solid pentru noi proiecte de cercetare aplicată.

Despre autor

Editorii acestui volum, printre care se numără Om Prakash Verma și Rajesh Kumar, sunt specialiști recunoscuți în ingineria sistemelor și inteligență computațională. Experiența lor colectivă acoperă arii diverse, de la dezvoltarea de algoritmi de soft computing pentru aplicații medicale, până la progrese în ingineria mecanică și sisteme de control. Aceștia au coordonat numeroase publicații sub egida Springer, concentrându-se pe transformarea teoriilor matematice în soluții tehnice pentru problemele lumii reale, fiind implicați activ în organizarea unor conferințe internaționale de prestigiu care definesc direcțiile de cercetare în domeniul rețelelor și sistemelor inteligente.

Descriere scurtă

The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on MAchine inTelligence for Research & Innovations (MAiTRI 2023 Summit), held at Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Panjab, India during 1 – 3 September 2023. This book focuses on recent advancement in the theory and realization of machine intelligence (MI) and their tools and growing applications such as machine learning, deep learning, quantum machine learning, real-time computer vision, pattern recognition, natural language processing, statistical modelling, autonomous vehicles, human interfaces, computational intelligence, and robotics.

Cuprins

1. A Simple Algorithm to Secure Data Dissemination in Wireless Sensor Network.- 2. Analysis of Pollard Rho attacks over ECDLP.- 3. Modelling Networks with Attached Storage using Perfect Italian Domination.- 4. Application of Varieties of Learning Rules in Intuitionistic Fuzzy Artificial Neural Network.- 5. Automated tool for toxic comments on YouTube.- 7. Directional Edge Coding for Facial Expression Recognition System.- 6. A Cascaded 2DOF-PID control technique for drug scheduling of chemotherapy system.

Notă biografică

Dr. Om Prakash Verma is currently serving as Assistant Professor in the Department of Instrumentation and Control Engineering, Dr B R Ambedkar NIT Jalandhar. His research interests includes: Machine Vision, Machine, Deep and Quantum Learning, Applied Soft-Computing and UAV Autonomous System. He has credit for publishing more than 90+ research publications including international peer-reviewed SCI journals, patent applications, edited books, conferences and book chapters. He has associated with 06 research projects as PI and Co-PI funded by various funding agencies such as ISRO, MeitY, CSIR, etc. He has supervised 2 Ph.D and currently supervising 3 Ph.D students. He is a Senior Member of IEEE, and Member of IEEE Computational Intelligence Society, IEEE Control Systems Society, Automatic Control and Dynamic Optimization Society and life time member of Instrument Society of India and STEM Research Society. He is an associate editor of the International Journal of Security and Privacy in Pervasive Computing.
Dr. Lipo Wang is presently on the faculty of the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interest is artificial intelligence with applications to image/video processing, biomedical engineering, communications, control, and power systems. He has 350+ publications, a U.S. patent in neural networks and a patent in systems. He has co-authored 2 monographs and (co-)edited 15 books. He is/was Associate Editor/Editorial Board Member of 30 international journals, including 4 IEEE Transactions, and guest editor for 15 journal special issues. He was a member of the Board of Governors of the International Neural Network Society, IEEE Computational Intelligence Society (CIS), and the IEEE Biometrics Council. He served as CIS Vice President for Technical Activities and Chair of Emergent Technologies Technical Committee, as well as Chair of Education Committee of the IEEE Engineering in Medicine and Biology Society (EMBS). He was President of the Asia-Pacific Neural Network Assembly (APNNA) and received the APNNA Excellent Service Award. He was founding Chair of both the EMBS Singapore Chapter and CIS Singapore Chapter.
Dr. Rajesh Kumar is working as a Professor in the Department of Electrical Engineering, MNIT, Jaipur. His research interests focus on Intelligent Systems, Machine Intelligence, Power Management, Smart Grid and Robotics. He has published over 550 research articles, has supervised 25 PhD and more than 35 M.Tech thesis. He has 14 patents to his name. He received 03 academic awards, 12 best paper awards, 06 best thesis award, 04 professional awards and 25- student award. He has received the Career Award for Young Teachers in 2002 from Govt. of India. He has been Associate Editor of IEEE Access, IEEE ITeN, Swarm and Evolutionary Computation, Elsevier, IET Renewable and Power Generation, IET Power Electronics, International Journal of Bio Inspired Computing and CAAI Transactions on Intelligence Technology, IET. He is a Senior Member IEEE (USA), Fellow IET (UK), Fellow IE (INDIA), Fellow IETE, Life Member CSI, Senior Member IEANG and Life Member IST.
Dr Anupam Yadav is an Associate Professor at the Department of Mathematics, Dr B R Ambedkar National Institute of Technology Jalandhar, India. His research area includes numerical optimization, soft computing, and artificial intelligence, he has more than ten years of research experience in the areas of soft computing and optimization. Dr. Yadav has done Ph.D. in soft computing from the Indian Institute of Technology Roorkee and he worked as a research professor at Korea University. He has published several research articles in journals of international repute. Dr Yadav has authored a textbook entitled “An Introduction to neural network methods for differential equations. He has edited several books which are published by AISC, LNDECT Springer Series. Dr Yadav was the General Chair, Convener and member of the steering committee of several international conferences. He is a member of various research societies.

Caracteristici

Presents research works in the field of machine intelligence Provides original works presented at MAiTRI 2023 held at Dr B R Ambedkar National Institute of Technology Jalandhar Serves as a reference for researchers and practitioners in academia and industry