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Recent Trends in Intelligence Enabled Research: Selected Papers of Fifth Doctoral Symposium, DoSIER 2023 de Siddhartha Bhattacharyya

Recent Trends in Intelligence Enabled Research: Selected Papers of Fifth Doctoral Symposium, DoSIER 2023: Advances in Intelligent Systems and Computing, cartea 1457

Editat de Siddhartha Bhattacharyya, Gautam Das, Sourav De, Leo Mršić
en Limba Engleză Paperback – 16 mai 2024

Ecosistemul inteligenței computaționale prezentat în acest volum transcende granițele teoretice, ancorându-se în framework-uri de Machine Learning, Big Data Analytics și sisteme de tip Fuzzy. Remarcăm o tranziție clară de la algoritmi generici către aplicații industriale și ecologice de nișă. Putem afirma că lucrarea Recent Trends in Intelligence Enabled Research reprezintă o radiografie tehnică a modului în care inteligența artificială este integrată astăzi în domenii precum controlul predictiv, navigația robotică și designul senzorilor.

Pe linia practică a volumului Intelligence Enabled Research, dar cu focus pe diversificarea domeniilor de aplicare din cadrul ediției DoSIER 2023, această lucrare evidențiază progresul metodologiilor de extracție a regulilor din rețelele neuronale și managementul incertitudinii prin logică fuzzy. Comparativ cu titluri precum Computational Intelligence and Smart Communication, care se concentrează pe infrastructura de rețea, volumul de față prioritizează soluțiile software aplicate pe date reale, cum ar fi monitorizarea calității apei sau detecția speciilor terestre.

Poziționată în continuarea preocupărilor editorului Siddhartha Bhattacharyya pentru procesarea informației, reflectate în lucrări precum Intelligent Quantum Information Processing sau Intelligent Cyber-Physical Systems Security for Industry 4.0, cartea păstrează rigoarea tehnică specifică seriei Advances in Intelligent Systems and Computing. Structura este organizată progresiv, pornind de la metode fundamentale de analiză a datelor, trecând prin soluții de securitate cibernetică și culminând cu tehnici de optimizare a resurselor în Cloud Computing prin algoritmi de tip Round-robin.

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Specificații

ISBN-13: 9789819723201
ISBN-10: 9819723205
Pagini: 216
Ilustrații: XVIII, 216 p. 107 illus., 71 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.32 kg
Ediția:2024
Editura: Springer Nature Singapore
Colecția Springer
Seria Advances in Intelligent Systems and Computing

Locul publicării:Singapore, Singapore

De ce să citești această carte

Această lucrare este esențială pentru cercetătorii și practicienii din industrie care caută implementări concrete ale inteligenței artificiale în scenarii de lumea reală. Cititorul câștigă acces la studii de caz avansate despre securitatea sistemelor fizico-cibernetice și utilizarea logicii fuzzy în medii cu date incerte. Este un instrument valoros pentru cei care doresc să înțeleagă cum machine learning poate fi aplicat eficient în ingineria mediului și orașe inteligente.

Despre autor

Siddhartha Bhattacharyya este un editor și cercetător de renume internațional, specializat în sisteme inteligente, inteligență computațională și procesarea cuantică a informației. Activitatea sa editorială vastă include coordonarea unor volume de referință care explorează intersecția dintre securitatea Industry 4.0 și inteligența artificială. Prin contribuțiile sale în serii academice de prestigiu, acesta a devenit o figură centrală în promovarea cercetării doctorale interdisciplinare, facilitând dialogul între mediul academic și cel industrial în domeniul tehnologiilor emergente.

Descriere scurtă

This book gathers extended versions of papers presented at DoSIER 2023 (Fifth Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during December 20–21, 2023). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.

Notă biografică

Dr. Siddhartha Bhattacharyya [FRSA, FIET (UK), FIEI, FIETE, LFOSI, SMIEEE, SMACM, SMAAIA, SMIETI] is currently Senior Researcher at VSB Technical University of Ostrava, Czech Republic. He is Acclaimed Author with over 400 publications, including 100 plus authored/edited volumes with reputed publishers. Bhattacharyya’s honors include receiving the South East Asian Regional Computing Confederation International Digital Award ICT Educator of the Year (2017), the Distinguished HoD Award, the Distinguished Professor Award conferred by the Computer Society of India, Mumbai Chapter (2017), ACM Distinguished Speaker (2018-2020), and IEEE Computer Society Distinguished Visitor (2021-2024). He was inducted into the ACM Hall of Fame in 2020 as a mark of appreciation for his contributions to hybrid computational intelligence and quantum computing research. His research interests include soft computing, pattern recognition, multimedia data processing, hybrid intelligence, and quantum computing.
Dr. Gautam Das is a professor of the ECE department of Cooch Behar Government Engineering College, West Bengal. He completed B.Tech. and M.Tech. from the Institute of Radio Physics and Electronics, Calcutta University, and subsequently completed Ph.D. from NBU. Dr. Das has more than 19 years of teaching and research experience. He has been the author and co-author of many journals and conference papers and participated in/organized national and international conferences. His area of interest includes system-on-chip testing and design of smart city.
Dr. Sourav De [SMIEEE, MACM, MIEI, LISTE, MCSTA, MIAENG] is currently Associate Professor of Computer Science and Engineering at Cooch Behar Government Engineering College, West Bengal. With over 18 years of academic experience, he has authored one book, edited 12 books, contributed to more than 54 research publications in internationally reputed journals, edited books, and international IEEE conference proceedings, and has five patents to his credit. His research interests include soft computing, pattern recognition, image processing, and data mining.
Leo Mršić is Vice Rector for science and research at Algebra University and Vice President for Technological Development at National Council for Higher Education, Science and Technological Development, Head of BDV i-Silver Data Center Algebra LAB, Zagreb, Croatia, Permanent Court Expert in the fields of finance, accounting, bookkeeping, and informatics (12+ years) with a large number (150+) of successfully completed complex expertise procedures, and IPMA A Certified Project Director with 100+ successfully completed complex projects.

Caracteristici

Presents research works on intelligence enabled research Includes research papers presented at DoSIER 2023 Serves as a reference resource for researchers and practitioners in academia and industry

Cuprins

Rules Extraction Methods from Neural Networks.- Quality Analysis of the Ganges River Water Utilizing Machine Learning Technologies.- Eye-Tracking Movements – A Comparative Study.- Cybersecurity Imminent Threats with  Solutions in Higher Education.- A two-level fuzzy model for filtering signals of the automatic dependent surveillance-broadcast.- Towards More Robust Multiclass Aerial Solar Panel Detection and Classification.- PlantML: Some Aspects of Investigation on Deployment of Machine Learning Algorithm for Detection and Classification of Plants.- Big Data Analytics Based Recommendation System Using Ensemble Model.- Uncertainty Management in Brain Data for Olfactory Perceptual-Ability Assessment of Human Subjects by General Type-2 Fuzzy Reasoning.- Checkpoint based Round-robin Scheduling Technique towards Fault Tolerant Resource Management in Cloud Computing.- Cost Optimised Community-Based Influence Maximization.- A Novel Model for Automated Identification of Terrestrial Species.- Fish Detection from Underwater images using YOLO and its Challenges.- Design and Realization of an IoT Based System for Real-Time Monitoring Of Embryo Culture Conditions in IVF CO2 Incubators.- FPGA Implementations and Performance Analysis of Different routing Algorithms for the 2D-Mesh Network-on-Chip.- A Comparative Analysis of Non-Gradient Methods of Class Activation Mapping.- Deep Learning based Weight Initialization on Multi-layer Perceptron for Image Recognition.- Assessment of Air Quality as a Positive Impact of COVID-19 Lockdown with reference to an Industrial City and a Populated City of India.- Applications of Big Data in Various Fields: A Survey.- Performance Analysis of Healthcare Information in Big Data NoSql platform.- IoT Based Smart Internet Protocol Camera for Examination Monitoring.- Efficient Low Complexity Message Passing Algorithm for Massive MIMO Detection.- An Effective Community-Based Greedy Approach over Selected Communities for Influence Maximization.