Guide to the De-Identification of Personal Health Information (Paperback, 2)

Chapter 1: Introduction ? Section I: The Case for De-Identifying Personal Health Information ? Chapter 2: Common Data Flows of Health Data (Data Life Cycle, Collection, Use and Disclosure of Health Data, More Complex Real-World Data Flows, Key Takeaways, References) ? Chapter 3: Privacy from the Data Subject Perspective (Health Information Privacy Concerns, Privacy Protective Behavior, Antecedents of Privacy Concerns, Key Takeaways, References) ? Chapter 4: Privacy from the Legal Perspective (Legal Definitions of Personal Health Information, Use and Disclosure of Personal Health Information, Lawful Bases for the Discretionary Use and Disclosure of PHI, The Lawful Basis of De-Identification, Key Takeaways, References) ? Chapter 5: The Need for De-Identification (Lawful Use and Disclosure of Data, Building Trust with Data Subjects, Addressing Real-World Risks, Data Breaches in the Healthcare Sector, Historical Misuse of Data, Key Takeaways, References) ? Chapter 6: Alternatives and Complementary Approaches to De-Identification (Consent as Lawful Basis for Use and Disclosure, Privacy-Enhancing Technologies, Remote or On-Site Access, Homomorphic Encryption, Secure Multiparty Computation, Trusted Execution Environments, Remote Execution, Remote Queries, Differential Privacy, Federated Learning, Key Takeaways, References) ? Section II: Understanding Disclosure Risks ? Chapter 7: Basic De-Identification Concepts (The De-Identification Process, Metrics and Measurements, Original Data and DFs, Unit of Analysis, Aggregate Data As The Unit of Analysis, Organization of Tabular Data, Relational Databases, Flat-File Databases, Types of Tabular Data, Cross-Sectional Data, Transactional Data, Sequential Data, Longitudinal Data, Trajectory Data, Types of Variables, Directly Identifying Variables, Indirectly Identifying Variables (Quasi-Identifiers), Sensitive Variables, Key Takeaways, References) ? Chapter 8: Defining Re-Identification Threats and Attacks (Types of Threats, Mo...


외국도서 > 컴퓨터 > 정보통신기술(IT)
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Guide to the De-Identification of Personal Health Information (Hardcover, 2)

Chapter 1: Introduction ? Section I: The Case for De-Identifying Personal Health Information ? Chapter 2: Common Data Flows of Health Data (Data Life Cycle, Collection, Use and Disclosure of Health Data, More Complex Real-World Data Flows, Key Takeaways, References) ? Chapter 3: Privacy from the Data Subject Perspective (Health Information Privacy Concerns, Privacy Protective Behavior, Antecedents of Privacy Concerns, Key Takeaways, References) ? Chapter 4: Privacy from the Legal Perspective (Legal Definitions of Personal Health Information, Use and Disclosure of Personal Health Information, Lawful Bases for the Discretionary Use and Disclosure of PHI, The Lawful Basis of De-Identification, Key Takeaways, References) ? Chapter 5: The Need for De-Identification (Lawful Use and Disclosure of Data, Building Trust with Data Subjects, Addressing Real-World Risks, Data Breaches in the Healthcare Sector, Historical Misuse of Data, Key Takeaways, References) ? Chapter 6: Alternatives and Complementary Approaches to De-Identification (Consent as Lawful Basis for Use and Disclosure, Privacy-Enhancing Technologies, Remote or On-Site Access, Homomorphic Encryption, Secure Multiparty Computation, Trusted Execution Environments, Remote Execution, Remote Queries, Differential Privacy, Federated Learning, Key Takeaways, References) ? Section II: Understanding Disclosure Risks ? Chapter 7: Basic De-Identification Concepts (The De-Identification Process, Metrics and Measurements, Original Data and DFs, Unit of Analysis, Aggregate Data As The Unit of Analysis, Organization of Tabular Data, Relational Databases, Flat-File Databases, Types of Tabular Data, Cross-Sectional Data, Transactional Data, Sequential Data, Longitudinal Data, Trajectory Data, Types of Variables, Directly Identifying Variables, Indirectly Identifying Variables (Quasi-Identifiers), Sensitive Variables, Key Takeaways, References) ? Chapter 8: Defining Re-Identification Threats and Attacks (Types of Threats, Mo...


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외국도서 > 컴퓨터 > 보안 > 일반

Architecture Research in the Digital Age : Methods, Pedagogy, and Critical Practice (Hardcover)

Part I ? Foundations of Inquiry??1. Epistemology & Ontology in Research? 2. Inquiry as Power and Perspective??Part II ? Frameworks for Inquiry??3. Literature Review & Annotated Bibliographies? 4. Crafting Qualitative & Quantitative Methods? 5. Digital Tools & Critical Tech Awareness??Part III ? Research Design & Application??6. Building Research Proposals? 7. Spatial Inquiry & Equity? 8. From Inquiry to Publication??Part IV ? Teaching & Reflective Practice??9. Teaching Modules: Templates & Rubrics? 10. Reflective Learning Tools? 11. Future Directions in Critical Architectural Inquiry?

Architecture Research in the Digital Age : Methods, Pedagogy, and Critical Practice (Paperback)

Part I ? Foundations of Inquiry??1. Epistemology & Ontology in Research? 2. Inquiry as Power and Perspective??Part II ? Frameworks for Inquiry??3. Literature Review & Annotated Bibliographies? 4. Crafting Qualitative & Quantitative Methods? 5. Digital Tools & Critical Tech Awareness??Part III ? Research Design & Application??6. Building Research Proposals? 7. Spatial Inquiry & Equity? 8. From Inquiry to Publication??Part IV ? Teaching & Reflective Practice??9. Teaching Modules: Templates & Rubrics? 10. Reflective Learning Tools? 11. Future Directions in Critical Architectural Inquiry?

Writing for Games : Theory and Practice (Hardcover, 2 ed)

What to Know About the Second Edition

Introduction

PART 1: Theory

Chapter 1:?Craft

Chapter 2:?Vocabulary ? Games

Chapter 3:?Vocabulary ? Story Structure

Chapter 4:?Vocabulary ? Story Components

Chapter 5:?Games Writing as a Discipline

Chapter 6:?Form-Led Design

Chapter 7:?A Note on Writing Comedy, and for Genre

Chapter 8:?Further Reading

Chapter 9:?A Note on Ethics

PART 2: Case Studies

Chapter 10:?Introduction to the Case Studies

Chapter 11:?Character and Dialogue in?Life is Strange 2

Chapter 12:?Ethics and Adaptation in?80 Days

Chapter 13:?Format and the Heist in?Last Stop

Chapter 14:?Interviews with Practicing Game Writers

PART 3: A Practical Workbook

Chapter 15:?Introduction to the Workbook

Chapter 16:?Tools for Starting

Chapter 17:?Tools for Developing

Chapter 18:?Tools for Finishing

Conclusion

Select Glossary of Game Terms

Bibliography

Writing for Games : Theory and Practice (Paperback, 2 ed)

What to Know About the Second Edition

Introduction

PART 1: Theory

Chapter 1:?Craft

Chapter 2:?Vocabulary ? Games

Chapter 3:?Vocabulary ? Story Structure

Chapter 4:?Vocabulary ? Story Components

Chapter 5:?Games Writing as a Discipline

Chapter 6:?Form-Led Design

Chapter 7:?A Note on Writing Comedy, and for Genre

Chapter 8:?Further Reading

Chapter 9:?A Note on Ethics

PART 2: Case Studies

Chapter 10:?Introduction to the Case Studies

Chapter 11:?Character and Dialogue in?Life is Strange 2

Chapter 12:?Ethics and Adaptation in?80 Days

Chapter 13:?Format and the Heist in?Last Stop

Chapter 14:?Interviews with Practicing Game Writers

PART 3: A Practical Workbook

Chapter 15:?Introduction to the Workbook

Chapter 16:?Tools for Starting

Chapter 17:?Tools for Developing

Chapter 18:?Tools for Finishing

Conclusion

Select Glossary of Game Terms

Bibliography

Python Scripting in PLAXIS : Automating Geotechnical Analysis and Modelling Workflows (Paperback)

Chapter 1: Fundamentals of the Finite Element Method 1.1 Introduction 1.2 Concept of Stress and Strain and Sign conventions 1.3 Fundamentals of Constitutive Models 1.4 Principal Stresses & Strains and their transformation 1.5 Problem Domain Discretization 1.6 Mesh Elements and Shape Functions 1.7 Solution of the Differential Equation (Workflow of an FEM analysis) 1.8 Commercial software for Geotechnical FEM computations 1.9 Key Takeaways of Chapter 1 & What’s next Chapter 2: Introduction to PLAXIS 2D 2.1 PLAXIS ? An introduction 2.2 Key strengths of PLAXIS 2.3 Implementation of FEM in PLAXIS 2.4 A look at the PLAXIS GUI 2.5 PLAXIS Input and Output Programs 2.6 PLAXIS Input modes ? Soil, Structure, Mesh, Flow conditions, Stage Construction 2.7 Key Takeaways of Chapter 2 & What’s next Chapter 3: Python ? A primer 3.1 Basics of Python 3.2 Python Objects (numbers, strings, lists, dictionaries, tuples, files) 3.3 Flow Control in Python (if, ifelse) 3.4 Loops in Python (while, for) 3.5 Functions in Python 3.6 Python Modules (pandas, matplotlib, openpyxl etc) 3.7 Key Takeaways of Chapter 3 & What’s next Chapter 4: Getting started with Python Remote Scripting API 4.1 PLAXIS command line scripting 4.2 Commands and Objects in PLAXIS 4.3 Command line vs. Python 4.4 Integration of Python into PLAXIS workflow 4.5 Python Remote Scripting Server 4.6 PLAXIS Interactive Python Console ? Jupyter QtConsole 4.7 PLAXIS Python Editor ? SciTE 4.8 Jupyter notebooks for scripting in PLAXIS 4.9 Boilerplate code 4.10 Your first Python script in PLAXIS 4.11 Installing additional Python modules in PLAXIS 4.12 Key Takeaways of Chapter 4 & What’s next Chapter 5: Scripting for model creation in PLAXIS Input 5.1 Common Python commands for model creation 5.2 Creating boreholes, soil layers and model geometry 5.3 Defining and assigning materials 5.4 Adding structures, loads, anchors and other support elements 5.5 Generating mesh 5.6 Setting up boundary conditions 5.7 Sample scripts 5.8 Key Ta...


외국도서 > 컴퓨터 > 정보통신기술(IT)
외국도서 > 컴퓨터 > 컴퓨터 공학
외국도서 > 경제경영 > 산업 > 에너지
외국도서 > 기술공학 > 기술공학 > 일반
외국도서 > 과학/수학/생태 > 수학 > 논리
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외국도서 > 과학/수학/생태 > 과학 > 지구과학 > 수문학

Python Scripting in PLAXIS : Automating Geotechnical Analysis and Modelling Workflows (Hardcover)

Chapter 1: Fundamentals of the Finite Element Method 1.1 Introduction 1.2 Concept of Stress and Strain and Sign conventions 1.3 Fundamentals of Constitutive Models 1.4 Principal Stresses & Strains and their transformation 1.5 Problem Domain Discretization 1.6 Mesh Elements and Shape Functions 1.7 Solution of the Differential Equation (Workflow of an FEM analysis) 1.8 Commercial software for Geotechnical FEM computations 1.9 Key Takeaways of Chapter 1 & What’s next Chapter 2: Introduction to PLAXIS 2D 2.1 PLAXIS ? An introduction 2.2 Key strengths of PLAXIS 2.3 Implementation of FEM in PLAXIS 2.4 A look at the PLAXIS GUI 2.5 PLAXIS Input and Output Programs 2.6 PLAXIS Input modes ? Soil, Structure, Mesh, Flow conditions, Stage Construction 2.7 Key Takeaways of Chapter 2 & What’s next Chapter 3: Python ? A primer 3.1 Basics of Python 3.2 Python Objects (numbers, strings, lists, dictionaries, tuples, files) 3.3 Flow Control in Python (if, ifelse) 3.4 Loops in Python (while, for) 3.5 Functions in Python 3.6 Python Modules (pandas, matplotlib, openpyxl etc) 3.7 Key Takeaways of Chapter 3 & What’s next Chapter 4: Getting started with Python Remote Scripting API 4.1 PLAXIS command line scripting 4.2 Commands and Objects in PLAXIS 4.3 Command line vs. Python 4.4 Integration of Python into PLAXIS workflow 4.5 Python Remote Scripting Server 4.6 PLAXIS Interactive Python Console ? Jupyter QtConsole 4.7 PLAXIS Python Editor ? SciTE 4.8 Jupyter notebooks for scripting in PLAXIS 4.9 Boilerplate code 4.10 Your first Python script in PLAXIS 4.11 Installing additional Python modules in PLAXIS 4.12 Key Takeaways of Chapter 4 & What’s next Chapter 5: Scripting for model creation in PLAXIS Input 5.1 Common Python commands for model creation 5.2 Creating boreholes, soil layers and model geometry 5.3 Defining and assigning materials 5.4 Adding structures, loads, anchors and other support elements 5.5 Generating mesh 5.6 Setting up boundary conditions 5.7 Sample scripts 5.8 Key Ta...


외국도서 > 컴퓨터 > 정보통신기술(IT)
외국도서 > 컴퓨터 > 컴퓨터 공학
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외국도서 > 기술공학 > 기술공학 > 일반
외국도서 > 과학/수학/생태 > 수학 > 논리
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외국도서 > 과학/수학/생태 > 과학 > 지구과학 > 수문학

Cyber-Physical System 2.0 : Security and Threats (Hardcover)

1. Cyber Physical System 2.0: Security and Threats. 2. Vulnerabilities and Threat Landscapes for CPS 2.0: A Smart Grid-Oriented Perspective. 3. A Bibliometric Perspective on Blockchain and AI in CPS Security: Trends, Insights, and Future Directions. 4. Proactive Supply-Chain Security for Over-the-Air Updates in Cloud-Based Cyber-Physical Systems 2.0. 5. Digital Twin-Based Security Validation for Over-the-Air Updates in Cloud-Enabled Cyber-Physical Systems. 6. Cyber-Physical Security and Resilience of Critical Infrastructures: The PRECINCT Ecosystem Platform. 7. Hierarchical Game-Theoretic Security Defense for Industrial Cyber-Physical Systems under Advanced Persistent Threats. 8. A Systems-Based Perspective on Vulnerability, Cybersecurity, and Resilience of Smart Cyber-Holonic Electric Power 2.0 Architecture. 9. Forecasting, Reliability Assessment, and Cyber-Physical Security Enhancement in Modern Power Systems Using Dynamic Line Rating and Machine Learning. 10. A Non-Parametric Statistical Technique for Anomaly Detection in Cyber-Physical Systems. 11. Resilience Management Framework for Reliable Exchange of Information in Healthcare Cyber-Physical Systems.

Integrated Business Information Systems: Linked Business Process Chain Erp, Scm, Crm, Bi, Big Data, and How Artificial Intelligence Influences Them (Hardcover, 3, Third 2026)

Mathematical Models in Financial Technologies: Decentralized Finance, Smart Contracts, Blockchain-Based Financial Systems (Hardcover)

Advances in Tourism, Technology and Systems: Selected Papers from Icotts 2025, Volume 1 (Hardcover)

Greendigit: Greening Digital Infrastructures with Sustainable Architecture and Design Principles (Hardcover)

Pervasive Computing Paradigms for Mental Health: 11th Eai International Symposium, Mindcare 2024, Milan, Italy, April 4-5, 2024, Proceedings (Paperback)

Green Artificial Intelligence in Smart Cities : Sustainable Architectures and Wearable Technology (Hardcover)

1. Sustainable Al for Smart Cities. 2. Sustainable Artificial Intelligence Frameworks for Next-Generation Smart Cities. 3. Sustainable AI In Wearable Technologies and Smart Cities: Emerging Trends and Future Perspectives. 4. Optimization Of Wireless Sensor Network Fault Detection in Smart Cities Using Big Data Analysis. 5. Energy Harvesting and Green Power Solutions. 6. AI For Disaster Management and Resilience. 7. Smart Agriculture in Smart Cities: The Need for Urban Agriculture and The Role of Artificial Intelligence. 8. Green AI In Brain-Computer Interfaces for Neurorehabilitation. 9. AI For Sustainable Development in Rural and Underserved Regions. 10. Sustainable Ai in Rural and Underserved Areas. 11. Sustainable Ai in Rural and Underserved Areas. 12. AI Governance and Policy Implications for Sustainable Smart Cities. 13. Challenges And Solutions in Implementing Sustainable AI.

Emerging Trends in Smart Computing, Communication and Automation (Paperback, 1)

1. Design and implementation of a compute-in-memory sram with on chip mac for low-power edge computing? 2. Review on estimation of soc and soh parameters of battery in energy storage system??3. A fermatean fuzzy mcdm approach to select ideal plastic material for food packaging with topsis method using novel distance measure.??4. Ai-driven stress detection for enhancing student well-being and academic performance using wearable smart-watch data??5. Seeing through the noise: self-supervised reconstruction for adversarially robust perception in autonomous vehicles??6. Optimization of transactions and energy consumption in blockchain technology for future prospective??7. Sentiment analysis on social media using bert model??8. Utilizing naive bayes with fuzzy logic and wrapper feature selection to improve cyberbullying detection in terms of noisy textual data in social media context??9. A comprehensive review on handwritten medical prescription recognition using deep learning techniques??10. A hybrid ensemble framework for emotion detection using tf-idf through sentiment analysis : CoRNL??11. From fasttext to GPT-4o and deepseek: architecture-aware benchmarking for multimodal and scientific reasoning??12. Performance analysis of a CTO based-localization algorithm for smart grid??13. Enhancing interpretability in chronic kidney disease prediction: a comparative analysis of shap, lime and permutation feature importance??14. Quantum relay nodes: enhancing security and scalability in quantum key distribution networks??15. Scanning pattern optimization for wall-mounted ultrasonic sensor array in fall detection system??16. Ai based ingredient and freshness analyzer??17. Student feedback analysis using machine learning and natural language processing: a real-time web-based system??18. Integration of quantum error correction in the BB84 protocol: a comprehensive analysis and simulation using IBM quantum experience??19. A comprehensive survey on an integrated smart home sec...


외국도서 > 컴퓨터 > 정보통신기술(IT)
외국도서 > 컴퓨터 > 컴퓨터 공학
외국도서 > 컴퓨터 > 컴퓨터 엔지니어링
외국도서 > 컴퓨터 > CAD-CAM

Emerging Trends in Smart Computing, Communication and Automation (Hardcover, 1)

1. Design and implementation of a compute-in-memory sram with on chip mac for low-power edge computing? 2. Review on estimation of soc and soh parameters of battery in energy storage system??3. A fermatean fuzzy mcdm approach to select ideal plastic material for food packaging with topsis method using novel distance measure.??4. Ai-driven stress detection for enhancing student well-being and academic performance using wearable smart-watch data??5. Seeing through the noise: self-supervised reconstruction for adversarially robust perception in autonomous vehicles??6. Optimization of transactions and energy consumption in blockchain technology for future prospective??7. Sentiment analysis on social media using bert model??8. Utilizing naive bayes with fuzzy logic and wrapper feature selection to improve cyberbullying detection in terms of noisy textual data in social media context??9. A comprehensive review on handwritten medical prescription recognition using deep learning techniques??10. A hybrid ensemble framework for emotion detection using tf-idf through sentiment analysis : CoRNL??11. From fasttext to GPT-4o and deepseek: architecture-aware benchmarking for multimodal and scientific reasoning??12. Performance analysis of a CTO based-localization algorithm for smart grid??13. Enhancing interpretability in chronic kidney disease prediction: a comparative analysis of shap, lime and permutation feature importance??14. Quantum relay nodes: enhancing security and scalability in quantum key distribution networks??15. Scanning pattern optimization for wall-mounted ultrasonic sensor array in fall detection system??16. Ai based ingredient and freshness analyzer??17. Student feedback analysis using machine learning and natural language processing: a real-time web-based system??18. Integration of quantum error correction in the BB84 protocol: a comprehensive analysis and simulation using IBM quantum experience??19. A comprehensive survey on an integrated smart home sec...


외국도서 > 컴퓨터 > 정보통신기술(IT)
외국도서 > 컴퓨터 > 컴퓨터 공학
외국도서 > 컴퓨터 > 컴퓨터 엔지니어링
외국도서 > 컴퓨터 > CAD-CAM

Artificial Intelligence : Foundations, Ethics, and Real-World Applications (Hardcover)

1.?Introduction to AI. 2. Data Preparation and Preprocessing. 3. Supervised Learning. 4. Unsupervised Learning. 5. Neural Networks and Deep Learning. 6. Advanced Deep Learning Architectures. 7.?Reinforcement Learning. 8. Advanced Reinforcement Learning: Algorithms and Systems. 9.?Natural Language Processing (NLP). 10.?Explainable and Ethical AI. 11. Optimization and Hyperparameter Tuning. 12. Real-World AI Applications Across Industries. 13. Deploying AI Models: Architectures, Optimization, and MLOps Practices. 14. Deploying EEG-to-Text AI Systems: A Scalable Architecture Featuring the NeuroClean Pipeline. 15. Future Trends in AI.

Digital Assets : Innovation, Risks, and Regulation (Hardcover)

Introduction
PART I: BLOCKCHAIN AS THE FOUNDATION OF DIGITAL ASSET
Chapter 1: Introduction to Representative Blockchains
Chapter 2: The Token Paradigm of Blockchains
Chapter 3: Blockchains’ Economic Models and Governance Mechanism
Chapter 4: The Blockchain Impossible Trinity and Its Implications
Chapter 5: Oracles: The Mechanism to Write Information into Blockchain
Chapter 6: Cross-chain: The Expansion Mechanism from Chain to Network
PART II: MAJOR TYPES OF DIGITAL ASSETS
Chapter 7: Tokenization in Theory and in Practice
Chapter 8: Digital Currencies
Chapter 9: Tokenized Securities: Case Studies of Daml and Liberty
Chapter 10: Cryptoassets
Chapter 11: Digital Renminbi: From 1.0 to 2.0
PART III: PARTICIPANTS IN THE DIGITAL ASSET MARKETS 
Chapter 12: Custodial Wallets and Custodians
Chapter 13: Digital Asset Exchanges: A Case Study of Coinbase
Chapter 14: Information Intermediaries in Digital Assets
PART IV: CONTRACTUAL ARRANGEMENTS IN DIGITAL ASSET MARKETS
Chapter 15: Overview of Decentralized Finance (DeFi)
Chapter 16: Decentralized Lending
Chapter 17: Automated Market Makers (AMMs)
PART V: PRODUCTS IN DIGITAL ASSET MARKETS
Chapter 18: Exchange-Traded Products (ETPs) for Digital Assets
Chapter 19: Digital Asset Futures and Options
PART VI: ACTIVITIES IN DIGITAL ASSET MARKETS
Chapter 20: Economic Attacks in the DeFi Ecosystem
Chapter 21: Liquidity Mining and Staking
Chapter 22: The Rise and Mechanics of the Digital Asset Treasury Model
PART VII: RISKS IN DIGITAL ASSET MARKETS 
Chapter 23: Systemic Fragility of the Cryptoasset Market
Chapter 24: The Relationship between the Cryptoassets and Mainstream Financial Markets
PART VIII: REGULATION OF DIGITAL ASSET MARKETS
Chapter 25: FATF Requirements on AML and CFT for Virtual Assets
Chapter 26: The Trump Administration’s Digital-Asset Policy
Chapter 27: The EU Markets in Crypto-Assets Regulation (MiCA)

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외국도서 > 언어학 > 문헌정보학 > 일반

Computational Intelligence in Epigenetics, Cellular and Mitochondrial Functions (Hardcover, 1)

1. Biomedical Image Processing Meets Deep Learning: A Review of Current Trends in Cancer Stage Detection. 2. Transforming Cancer Detection: The Impact of Deep Learning on Biomedical Imaging. 3. Decoding Morphological Cues in MRI for Brain Lesion Delineation. 4. AI-Driven Classification and Biomarker Discovery in Alzheimer's Disease: Toward Early Detection and Therapeutic Insight. 5. Machine Learning-Driven DNA Mutation Detection and CRISPR Gene Editing Visualization Techniques. 6. Deciphering the methylome landscape using AI for Cancer precision medicine. 7. Integrative Multi-omics for Cancer Diagnosis and Therapy: Computational Approaches to Epigenetics, Cellular Dynamics and Mitochondrial Function. 8. Advancing Gene Regulatory Network Inference: Hybrid Modeling, Scalability, and Network-Level Insights. 9. Biomarker Discovery and Differential Expression Analysis In Single Cell Sequencing Data Through the Integrated Model of Data Imputation, Feature Selection, Cell Clustering. 10. Business Analytics?Driven Insights into Epigenetics, Cellular Dynamics, and Mitochondrial Function Using Computational Intelligence. 11. Revolutionizing Biometric Systems with Multi-Agent AI: LLMs, MoNE Optimization, and Cloud Integration. 12. Integrating Multiple Views with HMMs and Neural Nets for Accurate Protein Secondary Structure Prediction. 13. Integrative Computational Models for Predicting Crop Traits Using Multi-OMICs Data.14. Application of Nanotechnology in Cancer Diagnosis, Biomarker Discovery and Drug Discovery. 15. Targeting Electro-Chemical Signaling Pathways for Cancer Therapy.

Wireless Ad-hoc and Sensor Networks : Architecture, Protocols, and Applications (Paperback)

1.?Orthogonal Time Frequency Space Modulation and its Application to VANETs. 2.?Semantic Representation and Communication in Ad Hoc Networks Enabling Intelligent Information Exchange and Collaboration. 3. The Diverse Technology of Flying Ad-hoc Networks (FANETs): An Extensive Survey. 4.?Radio Frequency Based Drone Detection and Identification: Challenges and Opportunities. 5.?Learning Processes for Internet of Autonomous Vehicles, Intelligent Transportation Systems. 6.?Future Envision of UAVs Elevating Human Life: ITS in Smart Cities Lensing Wireless Applications. 7.?An Analysis of Clustering Algorithms for Wireless Sensor Network Applications. 8.?Hybrid Metaheuristic Optimization for Energy-Efficient Routing, Clustering, and Sleep Scheduling in WSNs. 9.?Selection of Relay Node using Multi-Criteria Decision Making in Wireless Body Area Network. 10.?Artificial Intelligence in Wireless Communication. 11.?Leveraging AI-Enabled WSNs for Environmental Monitoring: An In-depth Analysis with RF-Pose Technology. 12.?Cybersecurity Challenges for Social, Ad-Hoc, and Sensor Networks in IoT. 13. Detection of DDoS Attacks Using Machine Learning in Network Environments. 14. Predictive Malware Detection in SDN-enabled Wireless Networks: A Machine Learning Approach. 15. Enhancing Healthcare Wireless Communication Security with Deep Learning-Driven IDS. 16.?Blockchain-Powered Defense: Securing WSN Against DDoS Attacks with Decentralized Authentication. 17.? An Analytical Study of Classification Techniques on Car Evaluation Data using Machine Learning Algorithms in IoT. 18.?Deep Dive into Underwater Sensor Networks (UWSNs): Architecture, Protocols, Challenges, Applications, and Security.??

Artificial Intelligence in Healthcare : Emphasis on Diabetes, Hypertension, and Depression Management (Paperback)

1.?Artificial Intelligence and Digital Health Twin Applications in Healthcare ? A Systematic Review. 2. Early Detection of Diabetic Foot Ulcers Using Optical Flow Based Ensemble Learning CNN Framework. 3. Identification of potential biomarkers for diabetes mellitus using Gene expression datasets, Machine learning, and R packages to predict the risk for diabetes.?4.?Machine learning for chronic diseases. 5. AI Chatbot For Diabetes Self-Help. 6.?Future of Diabetic Management Using Artificial Intelligence. 7. Detection of Generalized Anxiety Disorder.?8. Machine learning techniques for prediction of hypertension. 9.?Food recommendation for hypertensive persons.?10. Optimized Support Vector Machines for Detection of Mental Disorders.?11. Artificial Intelligence Applications in depression management. 12.?Depression Prediction Using Machine Learning Techniques.?13. Future of depression management using Artificial Intelligence. 14.?AI chatbot for depression self-help. 15. Artificial Intelligence in Healthcare: Futuristic Opportunities.

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Risk Management Framework for Fourth Industrial Revolution Technologies (Paperback, 1)

PART I. Introduction and Background. Chapter 1. Introduction Chapter 2. The Fourth Industrial Revolution. Chapter 3. Introduction to Risk Management and Current Risk Management Framework. PART II. Risks of the Fourth Industrial Revolution Technologies. Chapter 4. Artificial Intelligence. Chapter 5. The Internet of Things. Chapter 6. Blockchain Technology. Chapter 7. Cloud Computing. Chapter 8. Robotic Technology. Chapter 9. Augmented/ Virtual Reality. PART III. Risk Management Framework for Fourth Industrial Revolution Technologies. Chapter 10. Risks Management Framework.

Sustainable Farming through Machine Learning : Enhancing Productivity and Efficiency (Paperback)

1. Exploring AI and ML Strategies for Crop Health Monitoring and Management. 2. Enhancing Crop Productivity by Suitable Crop Prediction Using Cutting-Edge Technologies. 3. Crop Yield Prediction Using Machine Learning Random Forest Algorithm. 4. A multi-objective based genetic approach for increasing crop yield on sustainable farming. 5. Drones For Crop Monitoring And Analysis. 6. Decision Support System For Sustainable Farming. 7.?Empowering Agriculture: Harnessing the Potential of AI-Driven Virtual Tutors for Farmer Education and Investment Strategies. 8.?Enhancing Agricultural Ecosystem Surveillance through Autonomous Sensor Networks. 9.?Crop Disease Detection Using Image Analysis. 10.?Automated Detection of Plant Diseases Utilizing Convolutional Neural Networks. 11.?Apple Leaves Diseases Detection Using Deep Learning. 12.Optimizing Agricultural Yield: Comprehensive Approaches for Recommendation System in Precision Agriculture. 13.?Advancements in Precision Agriculture: A Machine Learning-based Approach for Crop Management Optimization. 14.?Precision Agriculture with Remote Sensing: Integrating Deep Learning for Crop Monitoring. 15.?Farmers Guide: Data-Driven Crop Recommendations for Precision and Sustainable Agriculture Using IoT and ML. 16.?Application of Machine Learning in the Analysis and Prediction of Animal Disease. 17. Transforming Indian Agriculture: A Machine Learning Approach for Informed Decision-Making and Sustainable Crop Recommendations. 18.?Automated Detection of Water Quality for Smart Systems using Various Sampling Techniques - An Agricultural Perspective. 19.?Scope of Artificial Intelligence (A.I.) in “Agriculture Sector and its applicability in Farm Mechanization in Odisha. 20.?Ethical Considerations and Social Implications.? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ??

Continuous-Time Signals and Systems : A MATLAB-Integrated Approach, Second Edition (Paperback, 2 ed)

Continuous-Time Signals and Systems. State-Space Analysis of Continuous-Time Systems. 6. Analysis and Design of Continuous-Time Filters. 7. Communications Application: Amplitude Modulation. Problems. MATLAB Problems, MATLAB Projects. Appendices. Index.