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Intelligent Data Engineering and Analytics de Vikrant Bhateja

Intelligent Data Engineering and Analytics

Editat de Vikrant Bhateja, Fiona Carroll, João Manuel R. S. Tavares, Sandeep Singh Sengar, Peter Peer
en Limba Engleză Hardback – 26 noi 2023

Pe linia practică a volumului Evolution in Computational Intelligence, dar cu un focus distinct pe ingineria datelor și analitica aplicată, acest volum reprezintă o resursă tehnică de prim rang pentru cercetătorii din domeniul inteligenței artificiale. Considerăm că Intelligent Data Engineering and Analytics se diferențiază de ICT with Intelligent Applications prin rigoarea cu care tratează intersecția dintre teoriile de calcul inteligente și disciplinele specifice de inginerie, oferind studii de caz care merg dincolo de stadiul pur teoretic.

Remarcăm o structură organizată progresiv, începând cu optimizarea proceselor de testare software prin algoritmi inspirați din natură (Ant Bee Colony) și continuând cu aplicații complexe de Deep Learning în monitorizarea sănătății și recunoașterea activității umane. Volumul este împărțit în secțiuni ce explorează științele decizionale, procesarea semnalelor și protocoalele de rețea, oferind o viziune panoramică asupra sistemelor actuale. Această abordare este congruentă cu opera anterioară a editorilor, vizibilă în lucrări precum Cyber Security and Intelligent Systems sau Information System Design: AI and ML Applications, unde accentul cade pe integrarea sistemelor inteligente în infrastructuri critice.

Fiecare capitol este fundamentat pe date experimentale, fie că vorbim despre analiza imaginilor de măduvă osoasă folosind praguri adaptive sau despre managementul inventarului prin tehnici de mining pentru seturi de elemente cu utilitate ridicată. Tonul volumului este unul tehnic și aplicat, facilitând înțelegerea modului în care algoritmii de tip black-box sau rețelele complexe pot fi implementați în scenarii de utilizare reale, de la telemedicină la securitatea datelor.

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Specificații

ISBN-13: 9789819967056
ISBN-10: 9819967058
Pagini: 656
Ilustrații: XVIII, 635 p. 281 illus., 223 illus. in color.
Dimensiuni: 160 x 241 x 39 mm
Greutate: 1.26 kg
Ediția:1st ed. 2023
Editura: Springer
Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm această lucrare studenților la masterat și inginerilor care au nevoie de soluții concrete pentru probleme de procesare a datelor și inteligență artificială. Cititorul câștigă acces la metodologii recente de testare software, analiză de semnal și modelare predictivă, toate validate prin procesul de peer-review al conferinței FICTA 2023. Este un instrument practic pentru cei care doresc să aplice Deep Learning în domenii precum sănătatea mobilă sau rețelele de senzori.

Despre autor

Vikrant Bhateja și João Manuel R. S. Tavares sunt cercetători cu o vastă experiență în coordonarea publicațiilor academice de înalt nivel, colaborând frecvent cu editura Springer. Bhateja este recunoscut pentru expertiza sa în procesarea semnalelor și inteligență computațională, fiind implicat în numeroase comitete de program ale conferințelor internaționale. Tavares, specialist în bioinginerie și viziune computerizată, aduce o perspectivă aplicată asupra modului în care datele pot fi utilizate în științele medicale. Colectivul de editori este completat de specialiști precum Fiona Carroll și Sandeep Singh Sengar, asigurând o acoperire multidisciplinară a subiectelor abordate.

Descriere scurtă

The book presents the proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023), held at Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, Wales, UK, during April 11–12, 2023. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. This book is divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols, and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines.

Cuprins

Chapter 1: Ant Bee Colony for Automated black-box testing of RESTful API.- Chapter 2: Classifying Human Activities using Machine Learning and Deep Learning Techniques.- Chapter 3: Explainable Artificial Intelligence and Mobile Health for Treating Eating Disorders in Young Adults with Autism Spectrum Disorder Based on the Theory of Change: A mixed method protocol.- Chapter 4: Novel Deep Learning Models for Optimizing Human Activity Recognition using Wearable Sensors: An Analysis of Photoplethysmography  and Accelerometer Signals.- Chapter 5: Link Prediction in Complex networks: An Empirical Review.- Chapter 6: High Utility Itemset Mining and Inventory Management: Theory and Use Cases.- Chapter 7: Using Clustering Approach to Enhance Prioritization of Regression Test Cases.- Chapter 8: Nucleus Segmentation using Adaptive Thresholding for Analysis of Blood and Bone Marrow Smear Images.- Chapter 9: A Systematic Review on Automatic Speech Recognition for Odia language.- Chapter 10: A Study on Influence Maximization in complex networks. etc.

Notă biografică

Vikrant Bhateja is associate professor in Department of Electronics Engineering Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India. He holds a doctorate in ECE (Bio-Medical Imaging) with a total academic teaching experience of 20 years with around 190 publications in reputed international conferences, journals and online book chapter contributions; out of which 39 papers are published in SCIE indexed high impact factored journals. One of his papers published in Review of Scientific Instruments (RSI) Journal (under American International Publishers) has been selected as “Editor Choice Paper of the Issue'' in 2016. Among the international conference publications, four papers have received “Best Paper Award''.  He has been instrumental in chairing/co-chairing around 30 international conferences in India and abroad as Publication/TPC chair and edited 52 book volumes from Springer-Nature as a corresponding/co-editor/author on date. He has delivered nearly 22 keynotes, invited talks in international conferences, ATAL, TEQIP and other AICTE sponsored FDPs and STTPs. He has been Editor-in-Chief of IGI Global--International Journal of Natural Computing and Research (IJNCR) an ACM & DBLP indexed journal from 2017-22. He has guest edited Special Issues in reputed SCIE indexed journals under Springer-Nature and Elsevier. He is Senior Member of IEEE and Life Member of CSI.
Fiona Carroll is Reader (Eq—Associate Professor) with the Cardiff School of Technologies, Cardiff Metropolitan University (CMet), Wales, UK. She obtained her Ph.D. in Human Computer Interaction (HCI) from Edinburgh Napier University in 2008. Her research over the past twenty years has focused on the fast-changing relations between humans and digital technologies. She has been particularly proactive in applying aesthetics to digital graphics, visualization, and HCI. At CMet, she co-leads the Creative Computing Research Centre andis also passionate about exploring new multidisciplinary approaches to engage more girls in STEM. As an accomplished academic, she has numerous peer-reviewed publications and has partaken in cutting-edge research projects both at national and international levels.
João Manuel R. S. Tavares graduated in Mechanical Engineering at the Universidade do Porto, Portugal, in 1992. He also earned his M.Sc. degree and Ph.D. degree in Electrical and Computer Engineering from the Universidade do Porto in 1995 and 2001 and attained his Habilitation in Mechanical Engineering in 2015. He is Senior Researcher at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial (INEGI) and Full Professor at the Department of Mechanical Engineering (DEMec) of the Faculdade de Engenharia da Universidade do Porto (FEUP). He is Co-editor of more than 75 books, Co-author of more than 50 chapters, 650 articles in international and national journals and conferences, and 3 internationaland 3 national patents.. His main research areas include computational vision, medical imaging, computational mechanics, scientific visualization, human–computer interaction, and new product development.
Sandeep Singh Sengar is Lecturer in Computer Science at Cardiff Metropolitan University, UK. Before joining this position, he worked as Postdoctoral Research Fellow at the Machine Learning Section of Computer Science Department, University of Copenhagen, Denmark. He holds a Ph.D. degree in Computer Science and Engineering from Indian Institute of Technology (ISM), Dhanbad, India, and an M. Tech. degree in Information Security from Motilal Nehru National Institute of Technology, Allahabad, India. His current research interests include medical image segmentation, motion segmentation, visual object tracking, object recognition, and video compression. His broader research interests include machine/deep learning, computer vision, image/video processing, and its applications. He has published several research articles in reputed international journals and conferences in the field of computer vision and image processing. He is Reviewer of several reputed international transactions, journals, and conferences including IEEE Transactions on Systems, Man and Cybernetics: Systems, Pattern Recognition, Neural Computing and Applications, Neurocomputing.
Peter Peer is Full Professor of computer science at the University of Ljubljana, Slovenia, where he heads the Computer Vision Laboratory, coordinates the double degree study program with the Kyungpook National University, South Korea, and serves as Vice-dean for economic affairs. He received his doctoral degree in computer science from the University of Ljubljana in 2003. Within his postdoctorate, he was Invited Researcher at CEIT, San Sebastian, Spain. His research interests focus on biometrics and computer vision. He participated in several national and EU funded R&D projects and published more than 100 research papers in leading international peer-reviewed journals and conferences. He is Co-organizer of the Unconstrained Ear Recognition Challenge and Sclera Segmentation Benchmarking Competition. He serves as Associated Editor of IEEE Access and IET Biometrics. He is Member of the EAB, IAPR, and IEEE.

Caracteristici

Presents research works in intelligent data engineering and analytics Provides results of FICTA 2023 held at Cardiff Metropolitan University, UK Serves as a reference for researchers and practitioners in academia and industry

Descriere

Descriere de la o altă ediție sau format:
The book presents the proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023), held at Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, Wales, UK, during April 11–12, 2023.