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Computing and Machine Learning de Jagdish Chand Bansal

Computing and Machine Learning: Lecture Notes in Networks and Systems, cartea 1144

Editat de Jagdish Chand Bansal, Samarjeet Borah, Shahid Hussain, Said Salhi
en Limba Engleză Paperback – 24 ian 2025

Destinat cercetătorilor avansați și inginerilor din domeniul IT, volumul Computing and Machine Learning sintetizează rezultatele prezentate la conferința CML 2024, oferind o perspectivă tehnică asupra convergenței dintre algoritmii de învățare automată și infrastructura de calcul. Merită menționat că structura cărții este organizată în jurul unor aplicații practice stringente, pornind de la securitatea stocării datelor în cloud prin tehnici criptografice hibride și avansând spre soluții complexe de viziune computerizată. Notăm cu interes capitolul dedicat identificării bolilor plantelor prin Vision Transformers, care ilustrează tranziția de la modelele liniare clasice la arhitecturi de învățare profundă mai eficiente.

Abordarea diferă de Advanced Computing, Machine Learning, Robotics and Internet Technologies de Prodipto Das prin faptul că este mai puțin axată pe bazele teoretice și mai mult aplicabilă, punând accent pe optimizarea modelelor existente, precum arhitectura U-Net pentru diagnosticarea medicală. Reținem continuitatea stilistică și rigoarea editorială impusă de Jagdish Chand Bansal, ale cărui lucrări anterioare, precum Fourth Congress on Intelligent Systems sau Power Engineering and Intelligent Systems, au stabilit deja un standard în documentarea sistemelor inteligente și a prelucrării semnalelor.

Progresia capitolelor reflectă o acoperire vastă, de la robotică și interacțiune om-robot până la implicațiile etice ale adoptării AI. Analiza datelor de tip Big Data și integrarea Internet of Things (IoT) sunt tratate nu doar ca subiecți izolați, ci ca elemente interconectate în ecosisteme moderne, precum medicina conectată sau supravegherea inteligentă. Această ediție 2025 reprezintă o resursă esențială pentru înțelegerea modului în care calculul cuantic și cel de înaltă performanță încep să redefinească limitele procesării de date.

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Specificații

ISBN-13: 9789819778386
ISBN-10: 9819778387
Pagini: 552
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.93 kg
Ediția:2024 edition
Editura: Springer
Colecția Lecture Notes in Networks and Systems
Seria Lecture Notes in Networks and Systems

De ce să citești această carte

Pentru profesioniștii care caută implementări concrete de inteligență artificială în scenarii reale de industrie și medicină. Veți câștiga acces la metodologii de ultimă oră pentru optimizarea rețelelor neuronale și securizarea datelor în cloud, trecând dincolo de concepte teoretice către soluții validate prin cercetare academică riguroasă desfășurată în cadrul conferinței CML 2024.

Despre autor

Jagdish Chand Bansal, coordonatorul principal al acestui volum, este un nume de referință în comunitatea academică internațională, fiind implicat activ în organizarea unor congrese majore dedicate sistemelor inteligente și soft computing. Expertiza sa în coordonarea publicațiilor Springer este demonstrată de numeroasele volume editate, printre care se numără Fourth Congress on Intelligent Systems și Proceedings of International Joint Conference on Advances in Computational Intelligence. Lucrările sale se concentrează pe integrarea inteligenței artificiale în domenii tehnice diverse, de la ingineria energetică la procesarea imaginilor, facilitând schimbul de idei între cercetătorii din Asia și restul lumii.

Descriere scurtă

This book features high-quality research papers presented at the International Conference on Computing and Machine Learning (CML 2024), organized by the Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India during April 29–30, 2024. The book presents diverse range of topics, including machine learning algorithms and models, deep learning and neural networks, computer vision and image processing, natural language processing, robotics and automation, reinforcement learning, big data analytics, cloud computing, Internet of things, human–robot interaction, ethical and social implications of AI, applications in healthcare, finance, and industry, computer modeling, quantum computing, high-performance computing, cognitive and parallel computing, cloud computing, distributed computing, embedded computing, human-centered computing, and mobile computing.

Cuprins

Secure Private Data Storage and File Sharing Using Homomorphic and Hybrid Hash-Based Cryptographic Technique in Cloud.- Revolutionizing Healthcare: The Impact of Artificial Intelligence in Connected Medicine – Unleashing the Power of Real-time Diagnostics, Personalized Treatment and Ethical AI Adoption.- ViTaL: An Advanced Framework for Automated Plant Disease Identification in Leaf Images Using Vision Transformers and Linear Projection for Feature Reduction.- Enhancing Path Planning with Obstacles via a Combined Dijkstra-LbCS Methodology.- Revitalising Volunteerism: The Transformative Influence of Artificial Intelligence in Volunteer Management.- Optimizing The U-Net Model For Segmenting The Lung Opacity Regions InChest Radiographs.- Intelligent Surveillance Camera System Based on Object Tracking.- Data-Efficient Training for Effective Paraphrase Retrieval Techniques Using Language Models to Identify Research Gaps.- Enhancing IoT Anomaly Detection with DBSCAN - A Data-Driven Approach.- Enhancing Efficiency and Functionality of Voice-Controlled Cars through NLP Techniques and Additional Features.- Ensembling of Performance Metrics in Credit Risk Assessment Using Machine Learning Analytics.- GUARDING THE GATE: Innovative Solutions for Third-Party App Vulnerabilities.- Prediction of Compressive Strength of Geopolymer Concrete via Machine Learning Techniques.- Personalized Stress Mitigation through EEG Based Stress Classification and Music Recommendation.

Notă biografică

Dr. Jagdish Chand Bansal is an associate professor (Senior Grade) at South Asian University, New Delhi, and a visiting faculty at Maths and Computer Science, Liverpool Hope University, UK. He also holds visiting professorship at NIT Goa, India. Dr. Bansal obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi, he worked as an assistant professor at ABV-Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His primary areas of interest are 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 in the engineering domain. He has published over 70 research papers in various international journals/conferences.
Dr. Samarjeet Borah is currently working as a professor and the head of the Department of Computer Applications, SMIT, Sikkim Manipal University (SMU), Sikkim, India. Dr. Borah has carried out various funded projects from AICTE (GoI), DST-CSRI (GoI), etc. He has published around 90 research papers in various journals and conferences. He has organized various workshops and conferences in national and international levels. Dr. Borah is involved with various book volumes and journals of repute from Springer, IEEE, Inderscience, and IGI Global as a editor or guest editor. He is the editor-in-chief of the book and proceedings series—Research Notes on Computing and Communication Sciences, Apple Academic Press, USA. Dr. Borah has served as a keynote as well as invited speaker in several international conferences. His areas of research are data mining, information security, data science, and machine learning.
Professor Said Salhi has been an emeritus professor in Operational Research/Management Science at the Kent Business School (UK) since January 2021. Prior to his appointment as a full professor to Kent in 2005, he was at the University of Birmingham in the School of Mathematics for 15 years (lecturer, senior lecturer, and reader), and in his later three years, he acted as the head of the Management Mathematics Group. In Kent, he was also the head of the Management Science Group for over 8 years (2008–May 2017), founder and designer of the M.Sc. in Logistics and Supply Chain Management, and founder of the Centre of Logistics and Heuristic Optimisation (CLHO) in 2008 which he was director till January 2021. Dr. Hussain is working at the University of Canberra as an associate professor of Biomedical Robotics. Prior to that, he has worked as a lecturer at the University of Wollongong, Australia. Dr. Hussain has obtained his Ph.D. in Mechanical Engineering from the University of Auckland, New Zealand. in 2013. His research interests include assistive and rehabilitation robotics, compliant actuation of robots, robot mechanism design and optimization, nonlinear dynamics and control of robotic systems, human–robot interaction, biomechanical modeling, engineering education, and micro-electro-mechanical systems (MEMS). Dr. Hussain has published more than 65 papers in the prestigious journals of the field.

Caracteristici

Presents recent research in computing and machine learning Discusses the outcomes of CML 2024, held in Sikkim, India, during March 2024 Serves as a reference resource for researchers and practitioners in academia and industry