N thillaiarasu (42 Ergebnisse)

Paperback. Zustand: Brand New. 171 pages. 9.00x6.00x0.43 inches. In Stock.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: Brand New. 160 pages. 9.18x6.12x9.21 inches. In Stock.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Paperback. Zustand: Brand New. 166 pages. 6.14x0.39x9.21 inches. In Stock.

Paperback. Zustand: Brand New. 358 pages. 9.18x6.12x9.21 inches. In Stock.

Zustand: New.

Zustand: New. Dr. Ahmed A. Elngar is an Associate Professor of Computer Science at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. As well as an Associate Professor of Computer Science at the College of Computer Information Te.

Zustand: New. Dr. V. Subramaniyaswamy is a professor at the School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.Dr. G Revathy is an assistant professor, Department of CSE, Srinivasa Ramanujan Centre, SASTRA .

Taschenbuch. Zustand: Neu. Neuware - This book is a quick review of machine learning methods for engineeringapplications. It provides an introduction to the principles of machine learningand common algorithms in the first section. Proceeding chapters summarize andanalyze the existing scholarly work and discuss some general issues in this field.Next, it offers some guidelines on applying machine learning methods to softwareengineering tasks. Finally, it gives an outlook into some of the futuredevelopments and possibly new research areas of machine learning and artificialintelligence in general.Techniques highlighted in the book include: Bayesian models, supportvector machines, decision tree induction, regression analysis, and recurrent andconvolutional neural network. Finally, it also intends to be a reference book. Key Features: Describes real-world problems that can be solved using machine learningExplains methods for directly applying machine learning techniques to concrete real-world problemsExplains concepts used in Industry 4.0 platforms, including the use and integration of AI, ML, Big Data, NLP, and the Internet of Things (IoT). It does not require prior knowledge of the machine learning This book is meantto be an introduction to artificial intelligence (AI), machine earning, and itsapplications in Industry 4.0. It explains the basic mathematical principlesbut is intended to be understandable for readers who do not have a backgroundin advanced mathematics.…

Taschenbuch. Zustand: Neu. Neuware - Technology Innovation Pillars for Industry 4.0: Challenges, Improvements, and Case Studies discusses the latest innovations in the application of technologies to Industry 4.0 and the nine pillars and how they relate, support, and bridge the gap between the digital and physical worlds we now live in.This book discusses each of the nine pillars and the roles they play in the rapid transformation of the design and operation, and offers applications and case studies supporting Industry 4.0 technologies. It presents the supply chain organizational activities utilizing cyber- physical systems architectures and talks about the advantages of intelligent manufacturing and the ability to proactively detect and respond to events, to improve quality and yield, reduce downtime, and lead to better overall equipment effectiveness among other advantages in smart factory operations.This reference book provides a great resource for undergraduate and graduate students, industrial and manufacturing engineers, and engineers of related disciplines along with business professionals, explaining what the nine pillars are and how they relate to Industry 4.0 and smart factories.…

Taschenbuch. Zustand: Neu. Neuware - In this digital era, a smart city can become an intelligent society by using advances in emerging technologies. Specifically, the rapid adoption of deep learning (DL) in fusion with blockchain technology has led to a new digital smart city ecosystem. A broad spectrum of DL and blockchain applications promises solutions for problems in areas ranging from risk management and financial services to cryptocurrency to public and social services. Furthermore, the convergence of artificial intelligence and blockchain technology is revolutionizing the smart city network architecture to build sustainable ecosystems. However, these advances in technology bring both opportunities and challenges in creating sustainable smart cities.To help planners and developers to meet these challenges and exploit these opportunities, Deep Learning and Blockchain Technology for Smart and Sustainable Cities takes a deep dive into the technologies and applications that enable smart and sustainable cities. It provides a comprehensive literature review of the security issues and problems that impact the deployment of blockchain systems in smart cities. It presents a detailed discussion of key factors in the convergence of blockchain and DL technologies that help form sustainable smart societies. This book also discusses blockchain security enhancement solutions and summarizes main key points necessary for developing various blockchain and DL¿based intelligent transportation systems.This book concludes with a discussion of open issues and future research direction.These include new security suggestions and guidelines for a sustainable smart city ecosystem. Also discussed is 6G¿enabled DL and blockchain in real¿time applications.…

Zustand: New.

Zustand: As New. Unread book in perfect condition.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Zustand: Neu. Neuware - AI-Driven Threat Intelligence Frameworks: Revolutionising Enterprise Cybersecurity explores the growing role of artificial intelligence in enhancing cybersecurity across modern enterprise systems. The book focuses on intelligent, adaptive, and proactive threat detection frameworks designed to address complex and evolving cyber threats while ensuring ethical compliance and resilient digital infrastructures. Beginning with foundational concepts of cybersecurity and AI, the book examines their integration in areas such as threat intelligence, Security Operations Centres (SOC), endpoint protection, and social network analysis. Additional topics include sentiment analysis for cyber risk, AI-blockchain integration for secure data sharing, cybersecurity in financial systems, and AI-enabled security in smart cities. The book concludes with emerging trends and future directions in next-generation cybersecurity solutions. Key Features: -Comprehensive coverage of AI-driven cybersecurity frameworks-Integration of theory with real-world enterprise applications-Focus on proactive, adaptive, and explainable security systems-Coverage of SOC, endpoint security, and threat intelligence models-Insights into ethical, regulatory, and future cybersecurity trends.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: New.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: NEW.

Zustand: New. In English.

Zustand: New.

Gebunden. Zustand: New. Dr. N. Thillaiarasu currently working as an Associate Professor from Jan 2021in the School of Computing and Information Technology, REVA University, Bengaluru, He has also served as an Assistant Professor at Galgotias University, Greater Noida from July .