Blockchain Frameworks for Scalable, Secure, and Regulated Ecosystems (Hardcover, 1)

Chapter 1: Consensus Mechanisms and Performance Challenges. Chapter 2: Greening the Chain: Sustainable Protocols and Energy-Efficient Architectures for Blockchain. Chapter 3: Green Blockchain Frameworks for Resource-Constrained IoT Systems. Chapter 4: Blockchain-Enabled Cyber-Physical Systems: Architectures, Applications, and Security in Industry 4.0. Chapter 5: When TinyML Meets Blockchain: Trustworthy Intelligence at the Edge. Chapter 6: Blockchain-Enabled Privacy and Trust in Federated Learning Architectures. Chapter 7: Towards Trustworthy Misinformation Detection: Integrating Blockchain, Federated Learning, and AI Watermark Verification. Chapter 8: AI-Driven Cognitive Cyber Defence for Secure Blockchain?Cloud?IoT Healthcare Ecosystems. Chapter 9: Blockchain for Trustworthy Driver Behavior Monitoring Systems: Current Advances, Challenges, and Future Directions. Chapter 10: Blockchain-Enabled Supply Chains: Enhancing Transparency, Efficiency, and Traceability in Logistics. Chapter 11: Blockchain and the Future of Sustainable Healthcare: A Road Ahead Toward Efficiency, Trust, and Equity. Chapter 12: Financial Disruption through Blockchain: Analyzing Cryptocurrencies and Decentralized Finance. Chapter 13: Cryptocurrency and Blockchain as Enablers of White-Collar Crimes in India.

Optimal Load Management in Ev-Penetrated Networks: A Metaheuristic Approach with Facts and Dg Support: Smart Solutions for Ev-Integrated Grids (Paperback)

1. Smart Grid Foundations: EVs, DG, and FACTS Integration 2. Technological Landscape: EVs, DG, and FACTS in Smart Grids 3. Multi-objective Metaheuristic Optimization Techniques for Smart Grids 4. Optimal DG Placement with EV Load in Smart Grids 5. Co-optimization of DG and FACTS Devices for EV-integrated? Smart Grids 6. Smart Grid Futures: Challenges, Trends, and Opportunities

Cloud Computing : Concepts and Technologies (Hardcover, 2 ed)

Chapter 1 - Introduction: 1.1 Cloud Computing, 1.2 Service Delivery Models, 1.3 Characteristics and Benefits of Cloud Computing, 1.4 Cloud Computing Platforms and Technologies, Bibliography; Chapter 2 - Distributed and Parallel Computing: 2.1 Distributed Computing, 2.2 Properties of Distributed Systems, 2.3 Performance Consideration in Distributed Computing, 2.3.1 High-Level Architecture of Remoting Protocols, 2.3.2 Synchronous and Asynchronous SOAP Architecture, 2.4 Parallel Computing, 2.5 Performance Consideration in Parallel Computing, 2.6 Amdahl's Law, 2.7 Types of Parallelism, 2.8 Flynn's Classical Taxonomy, 2.9 Classes of Parallel Computers, Bibliography; Chapter 3 - Multicore Architectures: 3.1 Multicores in Cloud Computing, 3.1.1 Parallel Hardware, 3.1.2 Parallel Software, 3.2 Classes of Parallelism, 3.3 Limitations of Multicore Architectures, Bibliography; Chapter 4 - Virtualization: 4.1 Virtualization Technology, 4.2 Virtualization Platforms, 4.2.1 Xen Virtualization, 4.3 Virtualization Techniques, 4.4 Pros and Cons of Virtualization, Bibliography; Chapter 5 - Infrastructure-as-a-Service (IaaS) Delivery Model in Cloud: 5.1 IaaS in Cloud, 5.2 IaaS Benefits, 5.3 Management of VMs in IaaS, 5.4 IaaS Providers, 5.5 Keys to Successfully Moving to IaaS, 5.6 Challenges of IaaS, Bibliography; Chapter 6 - SaaS and PaaS in Cloud: 6.1 SaaS in Cloud, 6.2 SaaS Characteristics, 6.3 SaaS Implementation, 6.4 SaaS Examples, 6.5 Advantages and Disadvantages of SaaS, 6.6 PaaS in Cloud, 6.7 PaaS Characteristics, 6.8 PaaS Implementation, 6.9 PaaS Examples, 6.10 Advantages and Disadvantages of PaaS, Bibliography; Chapter 7 - Capacity Planning in Cloud: 7.1 Cloud Capacity Model, 7.2 Probabilistic Auto-scaling for Capacity Planning, 7.3 AI/ML for Predictive Capacity Planning in Cloud, 7.4 Implementation Architecture: The MAPE-K Loop, 7.5 Advantages of Capacity Planning, Bibliography; Chapter 8 - SLA Management in Cloud Computing: 8.1 Components of SLA, 8.2 Life Cycle of SLA,...


외국도서 > 컴퓨터 > 로직 설계
외국도서 > 컴퓨터 > 인공지능(AI)
외국도서 > 컴퓨터 > 정보통신기술(IT)
외국도서 > 컴퓨터 > 컴퓨터 일반
외국도서 > 기술공학 > 기술공학 > 모바일/무선통신
외국도서 > 컴퓨터 > 네트워킹 > 일반
외국도서 > 컴퓨터 > 시스템 구조 > 분산 시스템/컴퓨팅
외국도서 > 컴퓨터 > 인터넷 > 일반
외국도서 > 기술공학 > 기술공학 > 전력자원 > 전기 에너지

Cloud Computing : Concepts and Technologies (Paperback, 2 ed)

Chapter 1 - Introduction: 1.1 Cloud Computing, 1.2 Service Delivery Models, 1.3 Characteristics and Benefits of Cloud Computing, 1.4 Cloud Computing Platforms and Technologies, Bibliography; Chapter 2 - Distributed and Parallel Computing: 2.1 Distributed Computing, 2.2 Properties of Distributed Systems, 2.3 Performance Consideration in Distributed Computing, 2.3.1 High-Level Architecture of Remoting Protocols, 2.3.2 Synchronous and Asynchronous SOAP Architecture, 2.4 Parallel Computing, 2.5 Performance Consideration in Parallel Computing, 2.6 Amdahl's Law, 2.7 Types of Parallelism, 2.8 Flynn's Classical Taxonomy, 2.9 Classes of Parallel Computers, Bibliography; Chapter 3 - Multicore Architectures: 3.1 Multicores in Cloud Computing, 3.1.1 Parallel Hardware, 3.1.2 Parallel Software, 3.2 Classes of Parallelism, 3.3 Limitations of Multicore Architectures, Bibliography; Chapter 4 - Virtualization: 4.1 Virtualization Technology, 4.2 Virtualization Platforms, 4.2.1 Xen Virtualization, 4.3 Virtualization Techniques, 4.4 Pros and Cons of Virtualization, Bibliography; Chapter 5 - Infrastructure-as-a-Service (IaaS) Delivery Model in Cloud: 5.1 IaaS in Cloud, 5.2 IaaS Benefits, 5.3 Management of VMs in IaaS, 5.4 IaaS Providers, 5.5 Keys to Successfully Moving to IaaS, 5.6 Challenges of IaaS, Bibliography; Chapter 6 - SaaS and PaaS in Cloud: 6.1 SaaS in Cloud, 6.2 SaaS Characteristics, 6.3 SaaS Implementation, 6.4 SaaS Examples, 6.5 Advantages and Disadvantages of SaaS, 6.6 PaaS in Cloud, 6.7 PaaS Characteristics, 6.8 PaaS Implementation, 6.9 PaaS Examples, 6.10 Advantages and Disadvantages of PaaS, Bibliography; Chapter 7 - Capacity Planning in Cloud: 7.1 Cloud Capacity Model, 7.2 Probabilistic Auto-scaling for Capacity Planning, 7.3 AI/ML for Predictive Capacity Planning in Cloud, 7.4 Implementation Architecture: The MAPE-K Loop, 7.5 Advantages of Capacity Planning, Bibliography; Chapter 8 - SLA Management in Cloud Computing: 8.1 Components of SLA, 8.2 Life Cycle of SLA,...


외국도서 > 컴퓨터 > 로직 설계
외국도서 > 컴퓨터 > 인공지능(AI)
외국도서 > 컴퓨터 > 정보통신기술(IT)
외국도서 > 컴퓨터 > 컴퓨터 일반
외국도서 > 기술공학 > 기술공학 > 모바일/무선통신
외국도서 > 컴퓨터 > 네트워킹 > 일반
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외국도서 > 컴퓨터 > 인터넷 > 일반
외국도서 > 기술공학 > 기술공학 > 전력자원 > 전기 에너지

Smart and Distributed Computing (Paperback, 1)

1.???? Impact of Environmental and Host Factors on Mustard Plant Diseases: A DenseNet-Based Deep Learning Framework for Early Detection of Alternaria Blight

2.???? Vision-Based Techniques for Structural Damage Assessment: Opportunities and Challenges

3.???? Edge AI and Computer Vision for Real Time Surgical Guidance

4.???? Agent AI Framework for Intelligent Talent Acquisition and Employee Retention in Smart Organizations

5.???? AI Powered Customer Behavior Prediction in E Commerce Using Hybrid Deep Learning and IoT Analytics

6.???? Agent-Based AI for Corporate Social Responsibility (CSR): Towards Data-Driven Sustainability

7.???? A Hybrid IoT?ML Framework for Forecasting, Anomaly Detection, and Economic Control in Urban Supply Chains

8.???? AI-Augmented Workforce Analytics: A Deep Learning Framework for Talent Optimization

9.???? Explainable AI Framework for Predicting Socio-Economic Indicators in Emerging Markets

10.? AI-Driven Adaptive Learning Systems Using Reinforcement Learning for Personalized Student Modeling and Instructional Adaptation

11.? Attention Enhanced Deep Learning Framework for Multi-Crop Disease Classification Using Real-Time UAV Imagery

12.? Intelligent Agent?Driven AI Framework for Talent Acquisition and Workforce Retention in Smart Organizations

13.? A 5G-Integrated IoT Framework for Real-Time Crop Disease Detection and Farmer Advisory Services

14.? Augmented Human Resource Analytics: A Deep Learning Approach for Talent Optimization

15.? Blockchain IoT Integration for Transparent and Secure Financial Transactions

16.? Hybrid Deep Learning and Bioelectrical Signal Analysis for Accurate Prediction of Kidney Function Anomalies

17.? IoT and AI Driven Smart Agriculture: Predictive Models for Crop Yield and Resource Efficiency

18.? Explainable AI-Driven Edge IoT System for Continuous Cardiovascular Health Monitoring

19.?...


외국도서 > 컴퓨터 > 영상처리
외국도서 > 컴퓨터 > 인공지능(AI)
외국도서 > 컴퓨터 > 자연 언어 처리(NPL)
외국도서 > 컴퓨터 > 전문가 시스템
외국도서 > 컴퓨터 > 컴퓨터 일반
외국도서 > 컴퓨터 > CAD-CAM
외국도서 > 기술공학 > 기술공학 > 공학일반
외국도서 > 컴퓨터 > 보안 > 일반
외국도서 > 컴퓨터 > 시스템 구조 > 분산 시스템/컴퓨팅
외국도서 > 컴퓨터 > 하드웨어 > 일반
외국도서 > 기술공학 > 기술공학 > 전력자원 > 전기 에너지

Smart and Distributed Computing (Hardcover, 1)

1.???? Impact of Environmental and Host Factors on Mustard Plant Diseases: A DenseNet-Based Deep Learning Framework for Early Detection of Alternaria Blight

2.???? Vision-Based Techniques for Structural Damage Assessment: Opportunities and Challenges

3.???? Edge AI and Computer Vision for Real Time Surgical Guidance

4.???? Agent AI Framework for Intelligent Talent Acquisition and Employee Retention in Smart Organizations

5.???? AI Powered Customer Behavior Prediction in E Commerce Using Hybrid Deep Learning and IoT Analytics

6.???? Agent-Based AI for Corporate Social Responsibility (CSR): Towards Data-Driven Sustainability

7.???? A Hybrid IoT?ML Framework for Forecasting, Anomaly Detection, and Economic Control in Urban Supply Chains

8.???? AI-Augmented Workforce Analytics: A Deep Learning Framework for Talent Optimization

9.???? Explainable AI Framework for Predicting Socio-Economic Indicators in Emerging Markets

10.? AI-Driven Adaptive Learning Systems Using Reinforcement Learning for Personalized Student Modeling and Instructional Adaptation

11.? Attention Enhanced Deep Learning Framework for Multi-Crop Disease Classification Using Real-Time UAV Imagery

12.? Intelligent Agent?Driven AI Framework for Talent Acquisition and Workforce Retention in Smart Organizations

13.? A 5G-Integrated IoT Framework for Real-Time Crop Disease Detection and Farmer Advisory Services

14.? Augmented Human Resource Analytics: A Deep Learning Approach for Talent Optimization

15.? Blockchain IoT Integration for Transparent and Secure Financial Transactions

16.? Hybrid Deep Learning and Bioelectrical Signal Analysis for Accurate Prediction of Kidney Function Anomalies

17.? IoT and AI Driven Smart Agriculture: Predictive Models for Crop Yield and Resource Efficiency

18.? Explainable AI-Driven Edge IoT System for Continuous Cardiovascular Health Monitoring

19.?...


외국도서 > 컴퓨터 > 영상처리
외국도서 > 컴퓨터 > 인공지능(AI)
외국도서 > 컴퓨터 > 자연 언어 처리(NPL)
외국도서 > 컴퓨터 > 전문가 시스템
외국도서 > 컴퓨터 > 컴퓨터 일반
외국도서 > 컴퓨터 > CAD-CAM
외국도서 > 기술공학 > 기술공학 > 공학일반
외국도서 > 컴퓨터 > 보안 > 일반
외국도서 > 컴퓨터 > 시스템 구조 > 분산 시스템/컴퓨팅
외국도서 > 컴퓨터 > 하드웨어 > 일반
외국도서 > 기술공학 > 기술공학 > 전력자원 > 전기 에너지

Distributed Computer and Communication Networks: 28th International Conference, Dccn 2025, Moscow, Russia, September 22-26, 2025, Revised Selected Pap (Paperback)

Scheduling Tasks in Distributed Cloud and Edge Computing Systems with Evolutionary Optimizers (Hardcover)

Nonlinear Analysis for Human Movement Variability (Hardcover, 2 ed)

1. Introduction. 2.? Time Series. 3.? State Space Reconstruction. 4.? Lyapunov Exponent. 5.? An Introduction to Recurrence Quantification Analysis for Movement Scientists. 6.? Surrogation. 7.? Autocorrelation Function, Mutual Information, and Correlation Dimension. 8.? Movement is Rough and Irregular: An Introduction to Fractal Analysis. 9.? Multifractal analysis: A window on the nonlinear release/constraint of degrees of freedom. 10.? Multiscale probability density function analysis. 11.? Fractal Methods of Association. 12.? Measuring Complexity: A Guided Tour of Information Focused Univariate Time Series Methods. 13.? Time-Frequency Analysis of Human Movement. 14.? Symbolic Regression: A Tool for Discovering Equations of Human Movement Dynamics.?

Distributed AI in the Modern World: Technical and Social Aspects of Interacting Intelligent Agents (Paperback)

Part 1. Models and applications of distributed machine learning
1. Federated learning solutions and applications
2. Distributed multi-agent learning
3. Models for machine learning on the edge of the network
4. Sharing knowledge about machine learning models in a community of agents

Part 2. Infrastructures for distributed AI
5. Integration of machine learning models in agent-based applications
6. Frameworks for organizing heterogeneous entities and resources in complex scenarios
7. Adaptive interaction across heterogeneous electronic environments

Part 3. Agents in the real-world
8. Interaction in swarms of physically deployed robots
9. Interaction in social humanoid robots
10. Socio-technical networks and hyperagents
11. Web of things and autonomous agents