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ICT: Smart Systems and Technologies de M. Shamim Kaiser

ICT: Smart Systems and Technologies: Lecture Notes in Networks and Systems, cartea 878

Editat de M. Shamim Kaiser, Juanying Xie, Vijay Singh Rathore
en Limba Engleză Paperback – 16 mar 2024

În volumul ICT: Smart Systems and Technologies, publicat sub egida prestigiosului Springer, remarcăm o integrare riguroasă a soluțiilor bazate pe inteligență artificială, IoT și Machine Learning aplicate în sectoare critice ale economiei globale. Această ediție 2024 colectează cercetări de vârf prezentate la conferința ICTCS 2023, punând accent pe modul în care strategiile competitive de digitalizare pot fi implementate practic în inginerie și management. Recomandăm acest volum pentru abordarea sa pragmatică asupra tehnologiilor emergente, de la procesarea limbajului natural în rapoarte medicale până la optimizarea lanțurilor de aprovizionare cu semiconductori.

Structura volumului este organizată pentru a facilita o progresie de la analiza impactului sectorial — cum este digitalizarea industriei de îmbrăcăminte în capitolul 1 — către soluții tehnice specifice de automatizare și securitate. Ca și Amit Joshi în ICT: Cyber Security and Applications, editorii distilează experiența reală în principii acționabile, oferind o perspectivă tehnică asupra detecției bot-urilor pe rețelele sociale și a sistemelor de monitorizare bazate pe video. Subliniem relevanța capitolelor dedicate sustenabilității, precum managementul proiectelor de construcții verzi, care demonstrează versatilitatea algoritmilor de calcul în contextul ecologic actual.

Această lucrare continuă direcția stabilită de M. Shamim Kaiser în volumele anterioare, precum Information and Communication Technology for Competitive Strategies (ICTCS 2022), consolidând expertiza cercetătorilor în domeniul sistemelor inteligente. Dacă lucrările precedente se concentrau pe fundamentele Big Data, volumul actual rafinează aceste concepte prin studii de caz punctuale, transformând teoria în instrumente de lucru pentru infrastructuri critice și mediul de afaceri.

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Specificații

ISBN-13: 9789819994885
ISBN-10: 9819994888
Pagini: 496
Ilustrații: XX, 471 p. 166 illus., 116 illus. in color.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.84 kg
Ediția:2024
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 esențială pentru inginerii și managerii IT care urmăresc implementarea unor strategii bazate pe date. Cititorul câștigă acces la metodologii verificate pentru securizarea sistemelor, automatizarea proceselor prin IoT și utilizarea AI în domenii variate precum sănătatea sau agricultura. Este un ghid tehnic actualizat care transformă tendințele tehnologice din 2024 în soluții de business sustenabile și competitive.

Despre autor

M. Shamim Kaiser, alături de Juanying Xie și Vijay Singh Rathore, coordonează acest volum în calitate de editori cu o vastă experiență în cercetarea academică internațională. M. Shamim Kaiser este recunoscut pentru contribuțiile sale editoriale în seria Lecture Notes in Networks and Systems, având la activ coordonarea unor lucrări de referință precum Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning. Expertiza sa reunește arii complexe de la modelarea cognitivă la infrastructuri de rețea, facilitând un dialog interdisciplinar între mediul academic și cel industrial prin intermediul conferințelor ICTCS.

Descriere scurtă

This book contains best selected research papers presented at ICTCS 2023: Eighth International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held in Jaipur, India during 8 – 9 December 2023. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics and IT security. The work is presented in five volumes.

Cuprins

Chapter 1: Digitalization of the Apparel Industry – The Impact of COVID-19 .- Chapter 2:EFFICIENT FIRE DETECTION AND AUTOMATION USING HAARCASCADE .-Chapter 3:Evolutionary Patterns in Modern-Era Cloud-Based Healthcare Technologies .-Chapter 4 :The Development of the Semiconductor Supply Chain in India: Challenges and Opportunities .-Chapter 5 :Water quality analysis of major rivers of India using Machine Learning .- Chapter 6: Enhancing Trust in AI-Generated Medical Narratives: A Transparent Approach for Simplifying Radiology Reports .- Chapter 7 : Green Construction Project Management: A Bibliometric Analysis .- Chapter 8: Illuminating Agriculture: Crafting a Strategy IoT-Based Architectural Design for Future Growth .- Chapter 9 :Video Based COVID-19 Monitoring System .- Chapter 10 :Analyzing User Profiles for Bot Account Detection on Twitter Via Machine Learning Approach .- Chapter 11 : Artificial Intelligence in Trucking Business Operations – A Systematic Review .- Chapter 12 :Deep Learning Approach for Early Diagnosis of Alzheimer's Disease .- Chapter 13 : Study of key Agreement Protocol implementation in Constraint Environment .- Chapter 14 :Covid-19 Disease Predication System from X-Ray Images Using Convolutional Neural Network .-Chapter 15: Liquidity Regulation and Bank Performance: The Industry Perspective .- Chapter 16 :Enhancing Medical Education through Augmented Reality.- Chapter17 :A Comprehensive Study on Plant Classification using Machine Learning Models .- Chapter 18 : Critical Analysis of the Utilization of Machine Learning Techniques in the Context of Software Effort Estimation .- Chapter 19 : Review of Recent Research and Future Scope of Explainable Artificial Intelligence in Wireless Communication Networks.- Chapter 20 :Multicore System Classification Algorithms for Scheduling in Real-Time Systems .- Chapter 21 :Transfer Learning Techniques in Medical Image Classification .- Chapter 22 : Integrating AI Tools Into HRM to Promote Green HRM Practices .- Chapter 23 :Archival of Rangabati song through Technology : An attempt to Conservation of Culture .- Chapter 24 :Voice based Virtual assistant for windows using ASR .- Chapter 25 :Music Recommendation Systems: Techniques, Use Cases and Challenges .- Chapter 26 :Obstacle Detection Using Arduino Board and Bluetooth control .- Chapter 27 :GREEN ICT: EXPLORING THE ROLE OF IoT-ENABLED TECHNOLOGIES IN SMALL-SCALE BUSINESSES .- Chapter 28 :Unravelling Obfuscated Malware through Memory Feature Engineering and Ensemble Learning .- Chapter 29 :Quad-Port MIMO Antenna System for n79-5G and WLAN Wireless Communication Applications .- Chapter 30 : Socio-Technical Approaches to Solid Waste Management in Rural India: A Case Study of Smart Pipe Composting in Raichur District, Karnataka .- Chapter 31 :Attendance System Using Face Detection and Face Recognition .- Chapter 32 :Smart Health with Medi2Home: Redefining Medicine Delivery for a Safer Tomorrow .- Chapter 33 : Sentiment Analysis of Product Reviews from Amazon, Flipkart, and Twitter .- Chapter 34 :
Arithmetic Optimization Algorithm: A Review of Variants and Applications .- Chapter 35 :Dark Channel Prior Based Single Image Dehazing Using Type-2 Fuzzy sets for edge enhancement in dehazed images .- Chapter 36 :ECO-Guard: An Integrated AISensor System for Monitoring Wildlife and Sustainable Forest Management .- Chapter 37 :Machine-Learning-Based Diagnosis of Mental Health Issues .- Chapter 38 :Hybrid CPU Scheduling Algorithm For Operating System To Improve User Experience .- Chapter 39 :AI-Enable Heart Sound Analysis: PASCAL Approach for Precision-Driven Cardiopulmonary Assessment .- Chapter 40 :Sentiment Analysis in Social Media Marketing: Leveraging Natural Language Processing for Customer Insights.

Notă biografică

Dr. M  Shamim Kaiser is currently working as a Professor at the Institute of Information Technology of Jahangirnagar University, Savar, Dhaka-1342,\Bangladesh. He received his Bachelor's and Master's degrees in Applied Physics Electronics and Communication Engineering from the University of Dhaka, Bangladesh in 2002 and 2004 respectively, and the Ph. D. degree in Telecommunication Engineering from the Asian Institute of Technology (AIT) Pathumthani, Thailand, in 2010. His current research interests include Data Analytics, Machine Learning, Wireless Network & Signal processing, Cognitive Radio Network, Big data and Cyber Security, Renewable Energy. He has authored more than 100 papers in different peer-reviewed journals and conferences. He is an Associate Editor of the IEEE Access Journal, Guest Editor of Brain Informatics Journal, and Cognitive Computation Journal. Dr. Kaiser is a Life Member of Bangladesh Electronic Society; Bangladesh Physical Society. He is also a senior member of IEEE, USA and IEICE, Japan, and an active volunteer of the IEEE Bangladesh Section. He is the founding Chapter Chair of the IEEE Bangladesh Section Computer Society Chapter.


Dr. JUANYING XIE Currently a Professor with Shaanxi Normal University, Xi'an, China. I have been a full professor at the School of Computer Science of Shaanxi Normal University in PR China. My research interests include machine learning, data mining, and biomedical data analysis. I have published around 50 research papers, and published 2 monograph books. I have been an associate editor of Health Information Science and Systems. I have been a program committee member of several international conferences, such as the International conference on Health Information Science, etc. I have been a senior member of China Computer Federation (CCF), and a member of Chinese Association for Artificial Intelligence (CAAI), and a member of Artificial Intelligence and Pattern Recognition Committee of CCF, and a member of Machine Learning Committee of CAAI, etc. I have been a peer reviewer for many journals, such as "Information Sciences", and "IEEE trans. on cybernetics", etc. I was awarded my Ph.D. in signal and information processing from Xidian University. I cooperated with Prof. Xiaohui Liu at Brunel University in UK from 2010 to 2011 in machine learning and gene selection research. I received an engineering master degree in the application technology of computers at Xidian University and a bachelor degree of science in computer science at Shanxi Normal University.  
Dr. Vijay Singh Rathore is presently working as a Professor in the Department of CS & IT, JECRC University, Jaipur, He was previously with IIS (Deemed to be) University, Jaipur (India). He received Ph.D. from the University of Rajasthan and has teaching experience of 20 years.  He is Secretary, ACM Jaipur Chapter, Past Chairman, CSI Jaipur Chapter, got two patents published, Ph.D. Supervised (Awarded: 16, Under Supervision: 07), 80+ research papers, and 10+ books got published.  He is handling international affairs of The IIS University, Jaipur. His research areas are internet security, cloud computing, big data, and IoT.

Caracteristici

Presents high-quality research in the field of information and communication technology Features the outcomes of ICTCS 2023, held in Jaipur, India Serves as a reference resource for researchers and practitioners in academia and industry