AI for Cybersecurity and Digital Forensics (Hardcover, 1)

Chapter 1 AI Requirements for Cybersecurity Practitioners Chapter 2 ML-based Attack Detection and Management Chapter 3 Deep Neural Networks for Intrusion Analysis Chapter 4 LLMs for Threat and Phishing Detection? Chapter 5 RL-based Adaptive Cyber Defence System Chapter 6 GNN-Based Social Media Forensics Chapter 7 AI-Integrated Digital Twin Forensics Chapter 8 Explainable AI and Governance Chapter 9 Post-Quantum Cryptography & Future Trends Chapter 10 Post-Quantum Cryptography and Its Implementation: Evolution, Standards, and Applications Chapter 11 AI-Driven Cyber Security for 5G/6G Networks and Multi-Tenant Telecom Platforms

Intelligent Cybersecurity in the AI-IoT Era (Hardcover, 1)

Preface. 1. Introduction to Modern Cyber Security Paradigms. 2. Understanding the AI-IoT-Cybersecurity Nexus. 3. Threat Modeling and Attack Surface Analysis. 4. AI-powered Cyber Attacks and Defense Mechanisms. 5. Federated Learning for Privacy-Preserving Security. 6. Edge Computing and Cognitive Security Frameworks. 7. Safeguarding Learning Spaces with IoT Architecture in Education: A Resilient Approach to Student Centric Smart Classrooms. 8. Blockchain for Trust Management and Identity Assurance. 9. Cybersecurity in Healthcare: Risks and Resilience. 10. Smart Cities and Autonomous Systems Security. 11. Post Quantum Cryptography and Futureproofing. 12. Analysis of Evolving Threats, Intelligent Defenses, and Strategic Imperatives. 13. Ethical, Legal and Policy Implications in Cybersecurity with Explainable AI. 14. Future Research Directions and Open Challenges.

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.

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.? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ??

AI in Agriculture for Sustainable and Economic Management (Paperback, 1)

1. Artificial Intelligence: Towards sustainable, smart, and green agriculture.? 2. Artificial Intelligence in Achieving Sustainable Development Goals: Models and Approaches.? 3. Smart Solutions for a Sustainable Future: Unlocking the Potential of AI for a Sustainable Future in Architecture, Energy, and Agriculture.? 4. AI for Optimization of Farming Resources and their Management.? 5. Democratising Intelligent Farming Solutions to Develop Sustainable Agricultural Practices.? 6. AI- driven approach for Precision Agriculture.? 7. Precision Agriculture and AI: Nurturing Sustainable Food Ecosystems.? 8. Agriculture and AI: A Subtle Conjunction of Predictive Analysis and Voice Assistant in the World of Agriculture.? 9. Machine Learning and IoT in Smart Agriculture.? 10. Empowering Agriculture: IoT for Sustainable Farming Practices.? 11. An Analysis Efficient Cloud Based Scheduling Infrastructure: Driving the Shift of Artificial Intelligence in Farming.? 12. Animal Intrusion Detection System using Semantic Segmentation and YOLO V4 Object Detector.? 13. Smart Farming for Sustainable Development ?
A Study at Sonepur District of Odisha.? 14. Analytical Approaches to Sustainable Farming Systems.? 15. Is Ethiopia Coffee Cooperatives Farmers Proficient to Predict Capital Structure with Mediation of AI Based Knowledge Systems and Asset Liquidity?.? 16. Is Marketing Intermediaries’ Mediation required for Livestock and Products Marketing to uplift the Economic Status of Pastoralist Community in Ethiopia?.??

Artificial Distributed Intelligence Techniques with Applications (Hardcover, 1)

1. Security and Privacy of Distributed Artificial Intelligence. 2.?Demystifying Artificial Distributed Intelligence. 3.?Artificial Distributed Intelligence: Empowering Healthcare through Big Data and Cloud Innovations. 4. Digital Advances in Artificial Distributed Intelligence in Optimizing Potato Leaf Disease Detection. 5. Distributed Computational Intelligent Efficient Technique. 6.?Revolutionizing Healthcare with ADI. 7. Artificial Distributed Intelligence for Medical Imaging: A Novel Horizon in Healthcare. 8.?Artificial Distributed Intelligence for Personalised Education: Architectures and Applications in K?12, Higher Education, and Workforce Learning. 9.?Optimizing Manufacturing with ADI. 10.?Empowering Environmental Sustainability. 11.?Personalizing Education with Artificial Distributed Intelligence Techniques. 12.?Enhancing Entertainment and Creative Industries. 13.?Coordinating and Collaborative Agents. 14.?Ethics of AI Use in Higher Education: Balancing Innovation and Academic Integrity. 15. AI for Structural Modeling and Simulation in Urban Planning.

User Interface and User Experience : Foundational Principles for Interactive Design (Hardcover)

Preface. 1. Introduction to UI/UX. 2. From Philosophy to Practice: Integrating Human-Centered Design and Design Thinking in UX. 3. Psychology of User Behavior. 4. Information Architecture. 5. Interaction Design. 7. Designing for All: The Interplay of Accessibility, Usability, and Inclusion. References. Index.

Quantum Searching and Optimization Algorithms : A Comprehensive Guide (Hardcover)

1. Introduction. 2. Quantum Gates. 3. Quantum Circuits and Parallelism. 4. Quantum Algorithms. 5. Quantum Cryptography and Security. 6.?Quantum Error Correction and Fault Tolerance.?7. Quantum Programming and Software.?8. Quantum Hardware and Technology.?9. Quantum Machine Learning. 10. Applications of Quantum Computing.?11. The Future of Quantum Computing. 12.?Ethics, Society and Global Perspectives in Quantum Computing. 13. Conclusion.

Computing, Communication, And Sustainable Energy Technologies : Sustainable Electronics and Emerging Energy Technologies (Volume 2) (Paperback)

Track 1: Signal, Image & Multimedia Processing

1. Universal text-to-speech converter

Shubham, Mekhala, Kamini Tanwar & Mamta Narwaria

Track 2: Embedded Systems, IoT & Cyber-Physical Networks

2. Man-in-the-middle & spamming in IOT networks

Arpit Mittal, Manas Aswal, Arman Raza, Priyanshi Bhatt, Rahul Shivhare &Swati Sharma

3. Food quality monitoring system for remote monitoring

Anusha & Ayush Garg

4. Brain-machine interaction via an embedded EEG-IoT system

Vikash Kumar Jha, Vasu Pandey, Priyal Uppal & Ram Lal Yadava

5. Green BinX

Kanchan Dipu, Nimitt Srivastava, Tanisha Bhardwaj, Tanishka Gahlot & Ujjawal Singh

Track 3: Antennas, Propagation & Microwave Technologies

6. Polymer based FSS for IOT assisted 6G THz-WBAN applications

S. Sharma, M. Khan & A. K. Sharma

7. Smart agriculture: tomato leaf disease monitoring system

P.M.S.S. Chandu, R Elankavi, J Monika, V Pavani, Y Lakshmi Priya & K Mounish

?

Track 4: Cybersecurity, Blockchain & Information Technologies

8. A review on automatic detection of API security in decentralized web3 application

Rizwan Pattan, Anand Raj, Sonali Dass

9. Cryptocurrency in emerging economies: adoption factors, challenges, and policy considerations

Saurabh Pratap Singh Rathore, Sundaram Arun, Nagendar Yamsani, Babitha Lincy R, Deep Biswas & Ishit Jain

10. The transformative impact of blockchain: revolutionizing security transparency and decentralization

Ramanjeet Singh, Amandeep Kaur, Priyanshu Choudhary, Pritpal Singh, Sugandha Sharma & Inderpreet Kaur

11. Comparative analysis of iOS and android file structures for DJI drones forensics

N. Trake, M. Singh, S. Kaur & D. Bansal

12. Detection and prevention of shill bidding in ...


외국도서 > 컴퓨터 > 컴퓨터 공학
외국도서 > 컴퓨터 > 컴퓨터 엔지니어링
외국도서 > 컴퓨터 > 소프트웨어 개발/엔지니어링 > 일반

Computing, Communication, and Sustainable Energy Technologies : Communication Techniques and Intelligent Systems (Volume 1) (Paperback)

Track 1: Signal, Image & Multimedia Processing

1.? Scalable deep learning framework for big data-driven pattern recognition using transformer architectures and adaptive feature fusion

Aamir Khan, Nisha Chandran S. & Durgaprasad Gangodkar

2.? Image processing for ovarian cancer: from classical methods to deep learning and multimodal AI - a systematic review and comparative synthesis

Venkata Raghavendra Miriampally, Neelapala Anil Kumar, GGS Pradeep, G. Ramana Murthy & Gnane Swarnadh Satapathi

3.? SENTITRUST: a revolutionary trust paradigm for decentralized online social media

M Giri, K. Maheswari, K Kathyayani, G.D. Anusha, P. Nithin & V. Venkata Sivareddy

4.? Analysis and prediction of crime hotspots using ml with stacked generalization approach

M. Giri, Gunasekhar, B Dhanalakshmi, B Gagana, A K JayaSankar and N Gavaskar

5.? Evaluation of objective measures of optimal mask generation based enhanced speech signal

Anil Garg, Ruchi Garg, Ravi Malik, Deepak Dudeja & Sumit Kumar

6.? Adaptive multi-degradation image restoration using deep learning: a unified network

Ankit Pokhariya, Manish Gautam, Ashish Jain & Rosey Chauhan

7.? Land cover classification of satellite and drone images using EA-UNet

Nahid Malik, Shilpee Patil, Azhar Ahmad, Akshat Jain &Ayushi Verma

?

Track 2: Embedded Systems, IoT & Cyber-Physical Networks

8.???? Image caption generator using CNN and LSTM

Monika Nagarajan, Pancheti Monisha, Mounika Ilaka, Nellepalli Prasanna, D. Manasa & T. Hari Priya

9.???? Hybrid reinforcement approach for customized learning and path suggestion

J. Jerin Jose, J. Sridhar, Kamineni Likitha, P.K. Kavya, T. Likitha & K. Prakash

10.? IoT enabled smart livestock health monitoring system

Priyadharshini V, Ganeshini E, Lokeshwari C, Kov...


외국도서 > 컴퓨터 > 정보통신기술(IT)
외국도서 > 컴퓨터 > 컴퓨터 공학
외국도서 > 컴퓨터 > 컴퓨터 엔지니어링

Computing, Communication, And Sustainable Energy Technologies : Sustainable Electronics and Emerging Energy Technologies (Volume 2) (Hardcover)

Track 1: Signal, Image & Multimedia Processing

1. Universal text-to-speech converter

Shubham, Mekhala, Kamini Tanwar & Mamta Narwaria

Track 2: Embedded Systems, IoT & Cyber-Physical Networks

2. Man-in-the-middle & spamming in IOT networks

Arpit Mittal, Manas Aswal, Arman Raza, Priyanshi Bhatt, Rahul Shivhare &Swati Sharma

3. Food quality monitoring system for remote monitoring

Anusha & Ayush Garg

4. Brain-machine interaction via an embedded EEG-IoT system

Vikash Kumar Jha, Vasu Pandey, Priyal Uppal & Ram Lal Yadava

5. Green BinX

Kanchan Dipu, Nimitt Srivastava, Tanisha Bhardwaj, Tanishka Gahlot & Ujjawal Singh

Track 3: Antennas, Propagation & Microwave Technologies

6. Polymer based FSS for IOT assisted 6G THz-WBAN applications

S. Sharma, M. Khan & A. K. Sharma

7. Smart agriculture: tomato leaf disease monitoring system

P.M.S.S. Chandu, R Elankavi, J Monika, V Pavani, Y Lakshmi Priya & K Mounish

?

Track 4: Cybersecurity, Blockchain & Information Technologies

8. A review on automatic detection of API security in decentralized web3 application

Rizwan Pattan, Anand Raj, Sonali Dass

9. Cryptocurrency in emerging economies: adoption factors, challenges, and policy considerations

Saurabh Pratap Singh Rathore, Sundaram Arun, Nagendar Yamsani, Babitha Lincy R, Deep Biswas & Ishit Jain

10. The transformative impact of blockchain: revolutionizing security transparency and decentralization

Ramanjeet Singh, Amandeep Kaur, Priyanshu Choudhary, Pritpal Singh, Sugandha Sharma & Inderpreet Kaur

11. Comparative analysis of iOS and android file structures for DJI drones forensics

N. Trake, M. Singh, S. Kaur & D. Bansal

12. Detection and prevention of shill bidding in ...


외국도서 > 컴퓨터 > 컴퓨터 공학
외국도서 > 컴퓨터 > 컴퓨터 엔지니어링
외국도서 > 컴퓨터 > 소프트웨어 개발/엔지니어링 > 일반

Computing, Communication, and Sustainable Energy Technologies : Communication Techniques and Intelligent Systems (Volume 1) (Hardcover)

Track 1: Signal, Image & Multimedia Processing

1.? Scalable deep learning framework for big data-driven pattern recognition using transformer architectures and adaptive feature fusion

Aamir Khan, Nisha Chandran S. & Durgaprasad Gangodkar

2.? Image processing for ovarian cancer: from classical methods to deep learning and multimodal AI - a systematic review and comparative synthesis

Venkata Raghavendra Miriampally, Neelapala Anil Kumar, GGS Pradeep, G. Ramana Murthy & Gnane Swarnadh Satapathi

3.? SENTITRUST: a revolutionary trust paradigm for decentralized online social media

M Giri, K. Maheswari, K Kathyayani, G.D. Anusha, P. Nithin & V. Venkata Sivareddy

4.? Analysis and prediction of crime hotspots using ml with stacked generalization approach

M. Giri, Gunasekhar, B Dhanalakshmi, B Gagana, A K JayaSankar and N Gavaskar

5.? Evaluation of objective measures of optimal mask generation based enhanced speech signal

Anil Garg, Ruchi Garg, Ravi Malik, Deepak Dudeja & Sumit Kumar

6.? Adaptive multi-degradation image restoration using deep learning: a unified network

Ankit Pokhariya, Manish Gautam, Ashish Jain & Rosey Chauhan

7.? Land cover classification of satellite and drone images using EA-UNet

Nahid Malik, Shilpee Patil, Azhar Ahmad, Akshat Jain &Ayushi Verma

?

Track 2: Embedded Systems, IoT & Cyber-Physical Networks

8.???? Image caption generator using CNN and LSTM

Monika Nagarajan, Pancheti Monisha, Mounika Ilaka, Nellepalli Prasanna, D. Manasa & T. Hari Priya

9.???? Hybrid reinforcement approach for customized learning and path suggestion

J. Jerin Jose, J. Sridhar, Kamineni Likitha, P.K. Kavya, T. Likitha & K. Prakash

10.? IoT enabled smart livestock health monitoring system

Priyadharshini V, Ganeshini E, Lokeshwari C, Kov...


외국도서 > 컴퓨터 > 정보통신기술(IT)
외국도서 > 컴퓨터 > 컴퓨터 공학
외국도서 > 컴퓨터 > 컴퓨터 엔지니어링

Artificial Intelligence in Healthcare : Advancements, Security, and Internet of Things (Hardcover)

1. The Current State of Healthcare and the Potential of Artificial Intelligence to Transform the Industry. 2. AI-Powered Anonymization for Secure Medical Data Sharing: Future Trends and Research Directions. 3.?Harnessing the Potential of Artificial Intelligence for Transformative Healthcare Solutions. 4. Detection of Parkinson's Disease through Voice Samples. 5. Understanding Supervised and Unsupervised Learning Paradigms in Healthcare Artificial Intelligence. 6.?AI Applications in Drug Discovery and Personalized Medicine. 7. Performance Evaluation of a Multi-Layer Model of Convolutional Neural Network (CNN) to Predict COVID-19 Using X-Ray of Chest Samples. 8. Intelligent Diabetes Diagnosis Using Bio-Inspired Algorithms Integrated with Machine Learning and Deep Learning Systems. 9.?Assessing COVID-19 Transmission Patterns and Government Responses in India. 10.?Wheelchair Movements Control Model implementation with FPGA. 11. Overview of Emerging AI Technologies and their Potential Impact on Healthcare. 12. Pharmacological Frontier for Drug Discovery System: A new path towards personalized medicine. 13. Revolutionizing Neurology with AI and IoT: Predictive Analytics and Real-Time Monitoring. 14.?Deep Learning: A Transformative Force in Artificial Intelligence. 15.?Case studies on the use of AI in precision medicine and targeted therapies.

Multimodal Artificial Intelligence and Large Language Models : A Comprehensive Guide from Theory to Practice (Hardcover)

Part 1: Emerging Multimodal Artificial Intelligence and Innovations. 1. Introduction to Multimodal Large Language Models. 2. Integration of Large Language Models for Conversational Artificial Intelligence. 3. Navigating Complexity: Challenges and Limitations in Multimodal Artificial Intelligence Models. 4. Integration of Large Language Models for Conversation Artificial Intelligence, and Multimodal Conversational Artificial Intelligence. 5. Privacy and Data Security Concerns in SPAN (Self-Organizing Pervasive Ad-hoc Network) for Multimodal Artificial Intelligence. 6. The Role of Generative Artificial Intelligence in Shaping Multimodal Experiences. 7. Enhancing Privacy and Data Security in Multimodal Large Language Models through Cryptography and Blockchain Technology. Part 2: Global Case Studies and Applications. 8. Applications of Multimodal Artificial Intelligence: Bridging Modalities for Enhanced Intelligence. 9. Multimodal Emotion Recognition with Deep Learning. 10. Bridging Modalities: A Comprehensive Approach to Emotion Recognition. 11. Real-Time Sign Language Recognition and Grammatically Correct, Coherent Sentence Formation Using Deep Learning Techniques. 12. Emotion Detection Across Modalities: A Deep Dive into Multimodal Systems. 13. Multimodal Disentangled Representation Learning for Enhanced User Behavior Analysis in Recommendation Systems. 14. Generative AI in Multimodal Biological Data: Transformations, Techniques, and Future Directions.

Logic Synthesis for Multi-Core Counter-Based Control Units : Structural Decomposition in Logic Design (Hardcover)

1 Sequential Devices and Field-Programmable Gate Arrays 2 Structural Decomposition in Logic Design 3 Single-Core Optimization of CMCU 4 Multi-Core Implementation of Finite State Mashines 5 Multi-Core Implementing C-FSMs with Twofold State Assignment 6 Multi-Core Implementing C-FSMs with Composite State Assignment Conclusion

Sustainable Developments in Computer Engineering, Green Technology and Smart Systems : Volume 2 (Hardcover)

174. Machine Learning Empowered Stock Market Strategies: A Research Question?Driven Literature Survey 175. Emperical Analysis of Machine Learning Techniques for Water Quality Prediction 176. PREDICTIVE MAINTENANCE OF AIRCRAFT ENGINES USING MACHINE LEARNING APPROACHES 177. Analysis of Machine Learning based algorithm in the early detection of Parkinson's disease using Random Forest 178. Classification of Shrimp Diseases With Hybrid Extraction of CNN -VGG Function Using XG Boost 179. Ecological Sustainability for Monitoring Terrestrial Biodiversity with Artificial Intelligence 180. Federated GenAI Architecture for Privacy-Preserving Risk Scoring in Financial Institutions 181. A Hybrid CNN?LSTM Deep Learning Model for Accurate Crop Leaf Disease Classification in Complex Imaging Environments 182. Design of a DC Drive along with Grid Synchronization aspects of DC Motor fed Alternator 183. A Hybrid Edge-Native Architecture for Autonomous eCommerce Agents 184. ProPlanet: An Intelligent Gamified Sustainability Platform for Behavioural Transformation and Environmental Impact Quantification 185. Classification and Comparison of Retinal Eye Disease Detection from OCT Images 186. AI-Powered Healthcare Consultation and Doctor Matching System 187. AI-Driven Optimization of Hybrid Renewable Energy Systems: Techniques, Challenges, and Future Research Directions 188. Serverless, AI-Driven Framework for Next-Generation Learning Management Systems: A Comprehensive Review and Future Research Directions 189. Face recognition-based portable attendance system with liveness detection 190. Hindi Named Entity Recognition, Translation and Correction using Sequence to Sequence Model 191. Early Diagnosis of Autism Spectrum Disorder in Toddlers Through Machine Learning Methods 192. Performance Analysis of FTO/ZnO/RbGeI3/RbGeBr3/NiO Perovskite Solar Cell Achieving 27.98% PCE 193. A Unified Security and Recovery-Aware Scheduling Architecture for Reliable IoT?Edge?Cloud Computing 194. Intelli...


외국도서 > 컴퓨터 > 로직 설계
외국도서 > 컴퓨터 > 정보통신기술(IT)
외국도서 > 컴퓨터 > 컴퓨터 공학
외국도서 > 컴퓨터 > 컴퓨터 엔지니어링
외국도서 > 컴퓨터 > 컴퓨터 일반
외국도서 > 컴퓨터 > CAD-CAM
외국도서 > 기술공학 > 기술공학 > 전력자원 > 대체/재생에너지

Sustainable Developments in Computer Engineering, Green Technology and Smart Systems : Volume 1 (Hardcover)

1. Multi-Level Chaotic DNA Encryption with Big Data Analytics for Next-Generation Cyber security 2. Comparative Evaluation of Transformer and CNN?RNN Hybrid Architectures for Emotion Recognition Using EEG and Multimodal Physiological Signals 3. DC Performance Analysis of Spacer Engineered Nanosheet-FET for Low-Power and High-Speed Applications 4. Dynamic Performance Comparison of Valley and Peak-Current Mode Modulated Synchronous Buck Converters 5. Federated Reinforcement Learning Framework for Self-Healing Intent-Based SDN in Smart IoT Networks 6. AI-Based Smart Civic Issue Detection and Complaint System 7. A Digital Marketplace for Craftspeople to Repair and Restore the Broken Products using Chatbot 8. IoT?Fog Scheduling for Real-Time Healthcare Systems Privacy-Preserving 9. Intelligent Energy-Aware Live VM Migration in Cloud Computing Using Machine Learning Techniques 10. An Enhanced Approach and Sustainability: Rock Hyrax-based Live VM Migration Framework 11. Intelligent Load Balancing Using Machine Learning for Wikipedia Web Traffic in Kubernetes 12. Tuberculosis Diseases Detection in X-Ray Images 13. Using Object Detection Model YOLOv12 14. Smart Memory Assistants for Alzheimer's Patients: A Review of Offline Approaches 15. Algorithmic Time and Task Management Using Google Calendar API 16. Fog-Enabled AI Silos for Robotics Healthcare over 6G Networks: Architectures, Security, and Future Frontiers 17. Speech Emotion Recognition Enhancement Using Wav2Vec 2.0: A Comparative Study Against Conventional Feature-Based Techniques on the TESS Dataset 18. MARKET PLACE: FOR STARTUP ECOSYSTEM WITH AI IMPLEMENTATION 19. Harmonics in Thyristor Controlled Reactors: A Short Survey 20. WELORAD: A Novel Hybrid Ensemble Model for Early Lung Cancer Prediction 21. Intersectional Determinants of Cardiovascular Health 22. Hypergraph-based Anomaly Detection in Industrial Control Systems using Hyper-GCN 23. AI in Breast Cancer Detection and Diagnosis: Challenges and Future Direc...


외국도서 > 컴퓨터 > 로직 설계
외국도서 > 컴퓨터 > 정보통신기술(IT)
외국도서 > 컴퓨터 > 컴퓨터 공학
외국도서 > 컴퓨터 > 컴퓨터 엔지니어링
외국도서 > 컴퓨터 > 컴퓨터 일반
외국도서 > 컴퓨터 > CAD-CAM
외국도서 > 기술공학 > 기술공학 > 전력자원 > 대체/재생에너지

Edge Artificial Intelligence : Transforming Computing from Cloud to Edge (Hardcover)

Part 1: Foundations

Theme 1: Introduction ? The Rise of Edge AI
Chapter 1: Edge AI: Transforming Computing from Cloud to Edge

Theme 2: Fundamentals of Edge Computing
Chapter 2: Edge Computing Fundamentals

Part 2: Applications

Theme 3: Smart Cities and Edge AI: Applications and Case Studies
Chapter 3: Smart Cities and Edge AI: Applications and Case Studies

Chapter 4: The Rise of Smart Cities: AI?Driven Urban Evolution

Chapter 5: Edge AI in Smart Cities: A Conceptual Framework for Intelligent Urban Infrastructure

Theme 4: Industrial Applications of Edge AI: Transforming Manufacturing
Chapter 6: Innovating Industry 4.0: A Deep Dive into Technological Trends, Cyber?Security Solutions, and Their Industrial Effects

Theme 5: Beyond Industry and Cities ? Exploring Edge AI Applications in Diverse Fields
Chapter 7: Healthcare on the Edge: Innovations with Cloud and Edge Computing

Chapter 8: COVID?19 Pandemic Prediction Model in India: Data Analysis and Forecasting

Chapter 9: Leveraging Machine Learning for Proactive Credit Card Fraud Detection

Chapter 10: Systematic Study of Machine Learning Algorithms for Botnet Detection

Chapter 11: Integrating DEA with Edge Computing for Evaluating Healthcare System Efficiency

Chapter 12: Big Data Sentiment Analysis of Twitter Data Using Hadoop & Python

Part 3: The Future and Its Applications with Case Studies

Theme 6: Emerging Trends in Cloud?to?Edge Computing for AI
Chapter 13: Deep Transfer Learning in Edge Computing: Enhancing Intelligence at the Network Edge

Chapter 14: A Unified Framework for Trustworthy and Explainable Edge AI (TE2AI): Enhancing Transparency, Security, and Reliability in Decentralized Intelligence

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Unmanned Aircraft Systems : Concepts, Simulation, Communication, and Applications (Hardcover)

Part 1: Foundations of Unmanned Aerial Vehicles. 1. Setting the Stage: Introduction to Unmanned Aerial Vehicles Technology. 2. Seeing Beyond Sensor Technologies in Unmanned Aerial Vehicles Operations. 3. Regulatory Landscape and Ethical Considerations. Part 2: Unmanned Aerial Vehicles Simulation and Modeling. 4. Virtual Skies: An Introduction to Unmanned Aerial Vehicles Simulation. 5. Brain Behind the Wings: Introduction to Flight Controllers. 6. Making Components Communicate: Introduction to Robot Operating System. 7. Unmanned Aerial Vehicles in Action: Application Programming for Unmanned Aerial Vehicles. Part 3: Communication and Security. 8. Communication Protocols: Challenges and Solutions. 9. Secure Flight Paths: Securing Command and Control Links of Unmanned Aerial Vehicles Communication. 10. Secure Horizons: Future Trends in Unmanned Aerial Vehicles Communication and Security. Part 4: Application and Allied Technologies for Unmanned Aerial Vehicles. 11. Global Awareness and Adoption of UAVs in Agriculture: A Case Study of Rurban India?12.?Sensor-Driven UAV Technologies for Disaster Management: A Comprehensive Framework for Real-Time Response and Recovery 13.?Drones in Real Estate: Applications, challenges and opportunities 14.?Application of UAVs in Industrial Manufacturing and Transportation

Industry 4.0 and Machine Learning : Concepts, Strategies, and Innovations for Modern Manufacturing (Hardcover)

Part 1: Fundamental Concepts and Key Technologies. 1. The Evolution of Industrial Revolutions. 2. Basics of Industry 4.0 and Machine Learning. Part 2: Industry 4.0 and Applications. 3. Core Technologies of Industry 4.0. 4. Various Applications of Industry 4.0. Part 3: Artificial Intelligence and Machine Learning. 5. Fundamentals of Artificial Intelligence and Machine Learning. 6. Future aspects of Artificial Intelligence and Machine Learning. 7. Concepts of Fuzzy logic, and Genetic Algorithms for Artificial Intelligence. 8. Deep leaning and Neural Network using Machine Learning. 9. Computational Intelligence model for Artificial Intelligence and Machine Learning. 10. Industrial Internet of Things with Artificial Intelligence and Machine Learning. Part 4: Integration and Implementation. 11. Integrating Machine Learning with Industry 4.0. 12. Smart Manufacturing and Quality Control System. 13. Enhancing Supply Chain Management. 14. Robotics and Autonomous Systems. Part 5: Applications and Case Studies. 15. Real-World Applications in Various Industries. 16. Opportunities and challenges for Industry 4.0 in Emerging Markets. 17. Applications and Case Studies of Artificial Intelligence and Machine Learning. Part 6: Challenges and Future Directions. 18. Ethical and Social Implications related to the Industry 4.0 and beyond driven by the Artificial Intelligence. 19. Cybersecurity in Industry 4.0. 20. Future Trends and Innovations in Industry 4.0 and Artificial Intelligence and Machine Learning. 21. Conclusion and the Road Ahead.

Generative Artificial Intelligence and Explainable Artificial Intelligence for Real-world Applications (Hardcover, 1)

1. Decoding GenAI: An Introduction to Transformers??2. Bridging the Gap: Integrating Generative AI and Explainability??3. XAI decoded: A systematic literature review on Explainability??4. Applications of Explainable Artificial Intelligence in Healthcare??5. Interactive UI for Captum: Enhancing Explainable AI Accessibility??6. Filling the AI Data Void: Synthesizing Domain-Specific Knowledge using Generative AI??7. Generating Synthetic Images in Multi-Agent Cooperating Environment Focusing on Generalizability??8. Exploring Diffusion Models: Techniques, Applications, and Future Directions? ?9. Multimodal Generative AI in Healthcare: A Comprehensive Review of Models and Applications??10. Comparative Analysis of Convolutional Neural Network Architectures for Diabetic Retinopathy Classification and Grading in Retinal Images Using Generative AI and Explainable AI??11. From Steps to Signals: Machine Learning for Explainable Gait?Analysis??12. A Study on Deep Learning and Machine Learning Methods for Automated Brain Hemorrhage Detection??13. GenAIED: GenAI in Education??14. Generative Intelligence Meets Precision Farming: A Hybrid CNN-RAG Approach for Early Plant Disease Management??15. Applications of Generative AI in Education: A Conceptual Framework for Ethical Implementation in Higher Education Curricula??16. AI in Industry 5.0: Future Trends, Green AI, and Accountability??17. Exploring Multimodal AI Applications in Healthcare, Smart Homes, Autonomous Vehicles, and Speech Recognition

Time-Varying Constrained Optimization and Robot Optimal Control : A Neurodynamic Approach with NCP Functions (Hardcover)

Section I Time-Varying Constrained Optimization??1.?Preliminary Theory? 2.?TVCO Solvers??Section II Optimal Control of Serial Robots? 3.?Predefined-Time Convergent Solution to Repetitive Motion Planning? 4.?Strictly Predefined-Time Convergent Solution to Repetitive Motion Planning? 5.?Acceleration-Level Solution to Obstacle Avoidance? 6.?Position-Level Solution to Obstacle Avoidance? 7.?maxQ-Function-Based Solution to Pose Control? 8.?Lower-Dimension NCP-EDNN for Pose Control? 9.?Infinity-Norm Velocity Minimization? 10.?Vision-Based Control with Safety Constraints??Section III Optimal Control of Parallel Robots??11.?Evtushenko-Purtov Function Based Solution? 12.?Unification and Comparison of NCP functions Based Solutions