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Fourth Congress on Intelligent Systems: CIS 2023, Volume 2 de Sandeep Kumar

Fourth Congress on Intelligent Systems: CIS 2023, Volume 2: Lecture Notes in Networks and Systems, cartea 869

Editat de Sandeep Kumar, K. Balachandran, Joong Hoon Kim, Jagdish Chand Bansal
en Limba Engleză Paperback – 31 mar 2024

Adresat cercetătorilor avansați, practicienilor din industrie și arhitecților de sisteme, acest volum colectiv oferă o perspectivă tehnică riguroasă asupra evoluțiilor recente din inteligența artificială. Suntem de părere că forța acestui volum rezidă în diversitatea aplicațiilor practice prezentate, care transcend simpla teorie algoritmică pentru a aborda probleme critice de securitate și sănătate. Descoperim aici o structură organizată tematic, unde primele capitole se concentrează pe diagnosticarea medicală prin tehnici de învățare automată (Machine Learning), urmate de soluții inovatoare pentru securitatea transferului de date prin blockchain și steganografie.

Dacă lucrarea Communication and Intelligent Systems v-a oferit cadrul teoretic al rețelelor inteligente, acest volum, Fourth Congress on Intelligent Systems, oferă instrumentele practice și studiile de caz necesare implementării acestora. Apreciem în mod deosebit modul în care autorii integrează tehnologii hibride, cum ar fi utilizarea rețelelor neuronale convoluționale (CNN) împreună cu infrastructura blockchain pentru securizarea fișierelor. În contextul operei editorului Sandeep Kumar, această apariție continuă direcția aplicativă stabilită în Handbook of Research on Emerging Trends and Applications of Machine Learning, însă cu un accent mult mai pronunțat pe sistemele cibernetico-fizice și procesarea datelor în timp real. Progresia capitolelor, de la detectarea afecțiunilor neurodegenerative la monitorizarea poluării prin senzori satelitari, indică o acoperire exhaustivă a domeniului sistemelor inteligente contemporane.

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Specificații

ISBN-13: 9789819990399
ISBN-10: 9819990394
Pagini: 481
Ilustrații: XVIII, 481 p. 215 illus., 156 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.84 kg
Ediția:2024
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Networks and Systems

Locul publicării:Singapore, Singapore

De ce să citești această carte

Pentru inginerii și cercetătorii care caută implementări concrete de Deep Learning și IoT, acest volum este o resursă tehnică de neprețuit. Cititorul câștigă acces la metodologii verificate pentru securitatea datelor și diagnostic medical asistat de AI. Este un instrument esențial pentru a înțelege cum algoritmi precum YOLO sau Inception Time sunt utilizați astăzi în scenarii reale de producție și cercetare academică.

Despre autor

Echipa editorială este condusă de experți recunoscuți în domeniul computației inteligente. Sandeep Kumar și colegii săi au o vastă experiență în documentarea tendințelor emergente din Machine Learning și sustenabilitate tehnologică. Contribuțiile lor anterioare includ lucrări de referință despre informatica biofarmaceutică și politici agricole bazate pe date, demonstrând o capacitate interdisciplinară de a aplica inteligența artificială în diverse ramuri ale științei. Prin selecția riguroasă a lucrărilor pentru CIS 2023, acești editori asigură un standard academic ridicat, specific publicațiilor din seria Lecture Notes in Networks and Systems.

Descriere scurtă

This book is a collection of selected papers presented at the Fourth Congress on Intelligent Systems (CIS 2023), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 4–5, 2023. 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

1. Comparative study of various machine learning techniques for Parkinson disease detection based on handwriting.- 2. A Systematic Review of Air Pollution and Weather Parameters Detection Methods in Satellite Remote Sensing.- 3. Fingerprint Based Asymmetric Bio-Cryptographic Key Generation Using Convolution Network.- 4. Comparison of Brain Tumor Detection Techniques by Using Different Machine Learning YOLO Algorithms.- 5. Media Steganography Using CNN With Blockchain Enabled Secure File Transfer.- 6. Diagnosing ADHD and Personality Disorders as per DSM-5 using Novel APK, PDPK and DDPK Machine Learning Algorithms.- 7. Inception Time Model for Structural Damage Detection using Vibration Measurements.- 8. Exploring Challenges and Innovations in E-commerce Recommendation Systems: A Comprehensive Review.- 9. Enhanced Ensemble Classifiers for Heart Disease Prediction.- 10. Study of RNN with its CNN based hybridization for temporal remote sensing data processing to map rabi crops.

Notă biografică

Dr. Sandeep Kumar is currently an associate 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 Human-centric Computing and Information Sciences (HCIS) journal published by Springer. He has published more than seventy 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. His research interests include nature-inspired algorithms, swarm intelligence, soft computing, and computational intelligence.
Dr. Balachandran 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 Energyfor 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.
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. Dr. Bansal has obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi, he has 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 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.  
Professor Kim, a faculty of Korea University in the School of Civil, Environmental and Architectural Engineering, obtained his Ph.D. degree from the University of Texas at Austin in 1992 with the thesis title “Optimal replacement/rehabilitation model for water distribution systems.”  Prof. Kim’s 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 2,300 times by other journals of diverse research areas.

Caracteristici

Includes novel and innovative work from experts, practitioners, scientists, and decision-makers Presents recent research in intelligent systems presented at CIS 2023, Bengaluru, India Serves as a reference resource for researchers and practitioners in academia and industry