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Recent Trends in Intelligence Enabled Research: Selected Papers of Fourth Doctoral Symposium, DoSIER 2022 de Siddhartha Bhattacharyya

Recent Trends in Intelligence Enabled Research: Selected Papers of Fourth Doctoral Symposium, DoSIER 2022: Advances in Intelligent Systems and Computing, cartea 1446

Editat de Siddhartha Bhattacharyya, Gautam Das, Sourav De, Leo Mršić
en Limba Engleză Paperback – 23 iun 2023

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: 9789819914715
ISBN-10: 981991471X
Pagini: 282
Ilustrații: XXVIII, 282 p. 129 illus., 102 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.34 kg
Ediția:1st ed. 2023
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 2022 (Fourth Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during 22–23 December 2022). 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.

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.

Notă biografică

Dr. Siddhartha Bhattacharyya [FRSA, FIET (UK), FIEI, FIETE, LFOSI, SMIEEE, SMACM, SMAAIA, SMIETI, LMCSI, LMISTE] is currently the Principal of Rajnagar Mahavidyalaya, Birbhum, India. Prior to this, he was a Professor at CHRIST (Deemed to be University), Bangalore, India. He also served as the Principal of RCC Institute of Information Technology, Kolkata, India. He has served VSB Technical University of Ostrava, Czech Republic as a Senior Research Scientist. He is the recipient of several coveted national and international awards. He received the Honorary Doctorate Award (D. Litt.) from The University of South America and the SEARCC International Digital Award ICT Educator of the Year in 2017. He was appointed as the ACM Distinguished Speaker for the tenure 2018-2020. He has been appointed as the IEEE Computer Society Distinguished Visitor for the tenure 2021-2023. He is a co-author of 6 books and the co-editor of 94 books and has more than 400 research publications in internationaljournals and conference proceedings to his credit.
Dr. Gautam Das is a professor of ECE department of Cooch Behar Government Engineering College, West Bengal. He completed B.Tech and M.Tech from Institute of Radio Physics and Electronics, Calcutta University and subsequently completed Ph.D from NBU. Dr. Das has more than 20 years of teaching and research experience. He has the author & co-author of many journal and conference papers and participated/organized national & international conferences. His area of interest includes System-on-Chip Testing and Design of Smart City.Dr. Sourav De did his B. E. (IT) and M. E. (IT) in 2002 and 2005, respectively. He completed PhD in Computer Science and Technology from IIEST in 2015. He is currently an Associate Professor of CSE Dept. in Cooch Behar Government Engineering College, WB, India. He is a co-author of one book and the co-editor of twelve books and has more than 59 research publications in internationally reputed journals,international edited books, and international IEEE conference proceedings and five patents and two copyright to his credit. He also served as a reviewer in different reputed international journals. He has been the member of the organizing and technical program committees of several national and international conferences. His research interests include soft computing, pattern recognition, image processing, and data mining. Dr. De is a Senior member of IEEE and also member of ACM, Institute of Engineers (IEI), CSTA, IAENG, Hong Kong. He is a life member of ISTE, India.Dr. Leo Mrsic is the Vice Dean for Science and Research, Algebra LAB SME digital incubator manager, Algebra LAB EDIH manager and Digital Transition Consultant with focus on projects of digitization and digital entrepreneurship for public and private sector clients. As part of the research team in Algebra University, he is focusing on strategy, processes, technology, and governance of activities related to digitallyempowered solutions. Leo’s experience is based on supporting ecosystem (clients and stakeholders) to select, define, implement and manage appropriate processes and methodologies to meet their goals. He specialized in providing strategic and operational advisory with a primary focus on increasing the efficiency of processes and services provided in the public or private sector and designing monitoring and reporting tools for organizations. His experience includes process and data analysis, business process redesign, organizational improvements, change management, design and implementation of monitoring and evaluation system, specification and project management. He has extensive experience in supporting public stakeholders in Croatia, where he was instrumental member in managing and coordinating teams on various projects, focusing on ensuring excellence of projects’ performance (scope, cost, schedule, quality). He is the holder of the BBA degree in the field of insurance, the MSc degree in the field of business statistics/economics, and the PhD degree in the field of data science. Permanent court expert in the fields of finance, accounting and computer science. Registered Consultant at GOPA Consulting Group Germany in the areas of business consulting, application of analytical/statistical methods, labor market analysis and support for educational policy-making and member of the ESCO Maintenance Committee of the European Commission in Brussels in the third convocation (2018-2022).

Caracteristici

Presents research works on intelligence enabled research Includes extended versions of papers presented at DoSIER 2022 Serves as a reference resource for researchers and practitioners in academia and industry