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Third Congress on Intelligent Systems de Sandeep Kumar

Third Congress on Intelligent Systems: Lecture Notes in Networks and Systems, cartea 613

Editat de Sandeep Kumar, Harish Sharma, K. Balachandran, Joong Hoon Kim, Jagdish Chand Bansal
en Limba Engleză Paperback – 19 mai 2023

În acest volum masiv de 880 de pagini, publicat în prestigioasa serie Lecture Notes in Networks and Systems, găsim o radiografie tehnică a stadiului actual al inteligenței artificiale și al sistemelor computaționale complexe, așa cum au fost ele prezentate la Third Congress on Intelligent Systems (CIS 2022). Ne-a atras atenția în mod deosebit amplitudinea tehnologiilor acoperite: de la algoritmi de optimizare bio-inspirați și sisteme neuro-fuzzy, până la aplicații critice în cloud computing și securitate informațională. Importanța acestui volum rezidă în capacitatea sa de a ancora conceptele teoretice de deep learning și swarm optimization în soluții pentru probleme globale stringente.

Observăm o structură riguroasă, organizată pentru a facilita tranziția de la optimizarea hardware la analitica de date de nivel înalt. Capitolele incipiente se concentrează pe controlere ANFIS și transformare digitală, progresând rapid către implementări specifice, cum ar fi monitorizarea inteligentă a rețelelor de canalizare sau utilizarea algoritmilor de tip „Water Cycle” pentru designul filtrelor IIR. Ca și Anand J. Kulkarni în Intelligent Systems and Applications, editorii acestui volum reușesc să distileze experiența reală din mediul academic și industrial în principii acționabile, oferind o perspectivă interdisciplinară necesară oricărui specialist în date.

Poziționată în continuarea preocupărilor editoriale ale lui Sandeep Kumar, reflectate în Handbook of Research on Emerging Trends and Applications of Machine Learning, această lucrare rafinează viziunea asupra inteligenței artificiale, trecând de la tendințe generale la implementări punctuale în medicină, transporturi și finanțe. Este un instrument de lucru esențial pentru înțelegerea modului în care sistemele cyber-fizice și rețelele neuronale convoluționale redefinesc eficiența operațională în 2023.

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Specificații

ISBN-13: 9789811993787
ISBN-10: 9811993785
Pagini: 880
Ilustrații: XXIII, 853 p. 356 illus., 261 illus. in color.
Dimensiuni: 155 x 235 x 44 mm
Greutate: 1.47 kg
Ediția:1st edition 2023
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

Această carte este o resursă indispensabilă pentru cercetători și ingineri care au nevoie de studii de caz documentate despre implementarea AI în scenarii reale. Cititorul câștigă acces la metodologii verificate pentru optimizarea algoritmilor de machine learning, procesarea imaginilor medicale și securitatea rețelelor, oferind un avantaj competitiv în proiectarea sistemelor inteligente de ultimă generație.

Despre autor

Coordonată de un colectiv de experți internaționali condus de Sandeep Kumar și Harish Sharma, această lucrare reflectă expertiza vastă a editorilor în domenii de vârf. Sandeep Kumar este recunoscut pentru contribuțiile sale editoriale în zona învățării automate și a informaticii biofarmaceutice, având o capacitate distinctă de a structura cercetări complexe în formate accesibile specialiștilor. Jagdish Chand Bansal și colegii săi aduc o perspectivă globală asupra optimizării computaționale, fiind implicați activ în societăți de cercetare în soft computing, ceea ce conferă volumului o autoritate academică deosebită.

Descriere scurtă

This book is a collection of selected papers presented at the Third Congress on Intelligent Systems (CIS 2022), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 5–6, 2022. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.

Cuprins

Patch Extraction and Classifier for Abnormality Classification in Mammography Imaging.- Improving the Performance of Fuzzy Rule Based Classification Systems using Particle Swarm Optimization.- Tuning Extreme Learning Machine by Hybrid Planet Optimization Algorithm: An Application for Diabetes Classification.- Towards Computation Offloading Approaches in IoT-Fog-Cloud Environment: Survey on Concepts, Architectures, Tools and Methodologies.- Prediction of COVID-19 Pandemic spread using Graph Neural Networks.- Event Based Time-To-Contact Estimation with Depth Image Fusion.- mCD and Clipped RBM based DBN for Optimal Classification of Breast Cancer.- Digital Disruption in Major Ports with Special Reference to Chennai Port, Kamarajar Port and Tuticorin Port.- SmartTour: A Blockchain-based Smart Tourism Platform using Improvised SHA.- Detection of Starch in Turmeric using Machine Learning Methods.- A study of Crypto-Ransomware using Detection Techniques for Defence Research.- Internet of Things (IOT) Based Smart Agriculture System Implementation and Current Challenges.- Physical Unclonable Function and Smart Contract based Authentication Protocol for Medical Sensor Network.- Developing Prediction Model for Hospital Appointment No-Shows using Logistic Regression.

Notă biografică

Dr. Sandeep Kumar is currently a professor at CHRIST (Deemed to be University), Bangalore. Before joining CHRIST, he worked with ACEIT Jaipur, Jagannath University, Jaipur, and Amity University, Rajasthan. He is an associate editor for Springer's Human-centric Computing and Information Sciences (HCIS) journal. He has published more than eighty research papers in various international journals/conferences and attended several national and international conferences and workshops. He has authored/edited six books in the area of computer science. Also, he has been serving as General Chair of the International Conference on Communication and Computational Technologies (ICCCT 2021, 22, and 23) and the Congress on Intelligent Systems (CIS 2022). His research interests include nature-inspired algorithms, swarm intelligence, soft computing, and computational intelligence.
Dr. Harish Sharma is an associate professor at Rajasthan Technical University, Kota, in the ComputerScience & Engineering Department. 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 Govt. 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 a secretary and one of the founder members of the Soft Computing Research Society of India. He is a lifetime member of the Cryptology Research Society of India, ISI, Kolkata. He is an associate editor of “The 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 contributedto more than 105 papers published in various international journals and conferences.
Dr. Balachandran K. is currently a professor and head of CSE at CHRIST (Deemed to be University), Bengaluru, India. He has 38 years of experience in research, academia, and industry. He served as a senior scientific officer in the Research and Development Unit of the Department of Atomic Energy for 20 years. His research interest includes data mining, artificial neural networks, soft computing, and artificial intelligence. He has published more than fifty articles in well-known SCI-/SCOPUS-indexed international journals and conferences and attended several national and international conferences and workshops. He has authored/edited four books in the area of computer science.
Professor Kim, a faculty of Korea University in the School of Civil, Environmental and Architectural Engineering, obtained his Ph.D. from the University of Texas at Austin in 1992 with the thesis “Optimalreplacement/rehabilitation model for water distribution systems.” His major areas of interest include optimal design and management of water distribution systems, application of optimization techniques to various engineering problems, and development and application of evolutionary algorithms. His publication includes “A New Heuristic Optimization Algorithm: Harmony Search,” Simulation, February 2001, Vol. 76, pp 60-68, which has been cited over 6,700 times by other journals of diverse research areas. His keynote speeches include "Optimization Algorithms as Tools for Hydrological Science" in the Annual Meeting of Asia Oceania Geosciences Society held in Brisbane, Australia, in June of 2013, “Recent Advances in Harmony Search Algorithm” in the 4th Global Congress on Intelligent Systems (GCIS 2013) held in Hong Kong, China, in December of 2013, and “Improving the convergence of Harmony Search Algorithm and its variants” in the 4th International Conference on Soft Computing For Problem Solving (SOCPROS 2014) held in Silchar, India, in December of 2014. He hosted the 1st, 2nd, and 6th Conference of International Conference on Harmony Search Algorithm (ICHSA) in 2013, 2014, and 2022. He also hosted the 12th International Conference on Hydroinformatics (HIC 2016). Also, he has been serving as an Honorary Chair of Congress on Intelligent Systems (CIS 2020, 2021, and 2022).
Dr. Jagdish Chand Bansal is an associate professor at South Asian University, New Delhi, and visiting faculty at Maths and Computer Science, Liverpool Hope University, UK. He obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU, New Delhi, he worked as an assistant professor at ABV—Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His primary area of interest is swarm intelligence and nature-inspired optimization techniques. Recently, he proposed a fission-fusion social structure-based optimization algorithm, spider monkey optimization (SMO), which is being applied to various problems from the engineering domain. He has published more than 70 research papers in various international journals/conferences. He is the editor-in-chief of the journal MethodsX published by Elsevier. He is the series editor of the book series Algorithms for Intelligent Systems (AIS) and Studies in Autonomic, Data-driven, and Industrial Computing (SADIC), published by Springer. He is the editor-in-chief of the International Journal of Swarm Intelligence (IJSI) published by Inderscience. He is also the associate editor of Engineering Applications of Artificial Intelligence (EAAI) and ARRAY, published by Elsevier. He is the general secretary of the Soft Computing Research Society (SCRS). He has also received gold medals at UG and PG levels.

Caracteristici

Includes novel and innovative work from experts, practitioners, scientists, and decision-makers Presents recent research in intelligent systems presented at CIS 2022, Bengaluru, India Serves as a reference resource for researchers and practitioners in academia and industry