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Artificial Intelligence and Machine Learning in Drug Design and Development
| Artificial Intelligence and Machine Learning in Drug Design and Development |
| Autore | Khanna Abhirup |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (670 pages) |
| Altri autori (Persone) |
El BarachiMay
JainSapna KumarManoj NayyarAnand |
| Collana | Fintech in a Sustainable Digital Society Series |
| ISBN |
1-394-23419-8
1-394-23418-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910869198103321 |
Khanna Abhirup
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| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Transforming Industry Using Digital Twin Technology
| Transforming Industry Using Digital Twin Technology |
| Autore | Mishra Ashutosh |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (324 pages) |
| Altri autori (Persone) |
El BarachiMay
KumarManoj |
| ISBN |
9783031585234
9783031585227 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Digital Twins in Industry: Real-World Applications and Innovations -- Introduction -- Applications of Digital Twins -- Digital Twins in Manufacturing -- Digital Twins in Automotive Industry -- Digital Twins in Aerospace -- Digital Twins in Healthcare -- Digital Twins in Construction -- Digital Twins in Energy and Utilities -- Digital Twins in Smart Cities -- Digital Twins in Defense -- Digital Twins in Agriculture -- Digital Twins in Retail -- Digital Twins in Drug Development and Pharmacovigilance -- Simulate and Prepare for Natural Disasters Using Digital Twins -- Digital Twins Enabled Smart Learning in Education -- Future of Digital Twins -- Conclusion -- References -- Artificial Intelligence in Digital Twins for Sustainable Future -- Introduction -- Digital Twin (DT) -- Categorization -- Characteristics of Digital Twin -- Revolutionization of Industries by Digital Twin -- AI and Digital Twin -- The Area Where Digital Twins and AI Can Work Together -- Machine Learning -- Natural Language Processing -- Computer Vision -- Robotics -- How Digital Twins and AI Can Work Together -- Data Analysis and Modelling -- Predictive Analytic -- Simulation and Scenario Analysis -- Control and Optimization -- Making Decisions on One's Own -- Real-Time Monitoring and Analytics -- Cognitive Capabilities -- Autonomous Decision-Making -- Data Fusion and Integration -- Human-Machine Collaboration -- Continuous Learning and Improvement -- Innovation and Future Potential -- How AI and Digital Twin Can Evolve the Future World -- Improved Decision-Making -- Enhanced Efficiency and Productivity -- Sustainable Development -- Accelerated Innovation -- Improved Maintenance and Predictive Maintenance -- Personalized Experiences -- Smarter Cities and Infrastructure -- Remote Operations and Collaboration -- Smart Manufacturing and Circular Economy.
Intelligent Transportation Systems -- Urban Planning and Smart Cities -- AI in Decision Support Systems -- Data Analysis and Pattern Recognition -- Predictive Analytics -- Automated Decision-Making -- Natural Language Processing -- Intelligent Recommendations -- Cognitive Reasoning -- Real-Time Monitoring and Alerts -- Visualization and Interactive Interfaces -- Continuous Learning and Improvement -- Steps in AI Integration -- Data Security and Privacy Using AI -- Data Encryption -- Access Control -- User Authentication -- Anonymization and Pseudonymization -- Secure Data Storage -- Regular Updates and Patching -- Audit Logs and Monitoring -- Data Minimization -- Data Transfer -- Privacy Policies and User Consent -- Regular Security Assessments -- Compliance with Regulations -- Digital Twin for Healthcare -- Sustainable Development Goals (SDGs) -- Conclusion -- References -- The Place and Role of Digital Twin Applications: Directions for Energy and Education Sector -- Introduction -- The Background of Digital Twins -- Characteristics of the Concept of Digital Twins -- The Development Trend of Digital Twins -- Digital Twins Applications in the Energy Sector -- Why Is the Digital Twin Important for the Energy Industry? -- Digital Twins Applications in Education -- Why Is the Digital Twin Important for the Education Sector? -- Conclusion -- References -- The Role of Digital Trust in Enhancing Cyber Security Resilience -- Introduction -- Improving Digital Trust and Cyber Security -- Thrust Area in Digital Trust and Cyber Security -- Cybersecurity Risk Management -- Cyber Threat Intelligence -- Identity and Access Management -- Data Protection and Privacy -- Network Security -- Cloud Security -- Cryptography -- Cybercrime Prevention -- Conclusion -- References -- From Reactive to Proactive: Predicting and Optimizing Performance for Competitive Advantage. Introduction -- What's the Problem of Launching Software Without Performance Testing? -- The Digital Twin Technology -- The History of Digital Twin -- Origins in Computer-Aided Design (CAD) and Simulation -- Conceptualization of Digital Twins -- Application in Manufacturing and Product Development -- IoT and Data Analytics Integration -- Artificial Intelligence (AI) Advancements Include the Following -- Expansion into Different Industries -- Digital Twin Types -- Product Twins -- Process Twins -- System Twins -- Asset Twins -- Human Twins -- Environmental Twins -- How Digital Twin Helps Solve the Problems of Software Performance -- Digital Twin Performance Testing for Software Application -- Challenges in Testing Digital Twins -- AI-Based Testing Software to Test Load Performance Using Digital Twin -- Case Study -- Advantages of Load Testing and Optimization Using Digital Twin Technology -- Realistic Simulation -- Early Issue Detection -- Optimal Resource Allocation -- Enhanced User Experience -- Scalability Assessment -- Cost Savings -- Continuous Optimization -- Conclusion -- Key Term and Definitions -- References -- DT-AXYOLOV5: An Efficient Digital Twin-Assisted Deep-Learning-Based Blockchain Framework for Patient Discomfort Detection in Smart Healthcare System -- Introduction -- Literature Survey -- Digital Twin-Based Approach -- Deep-Learning Cloud-Based Approach -- Blockchain-Based Approach -- Proposed Solution -- Data Acquisition -- The Processing of the AX-YOLOV5 Deep-Learning Model -- Blockchain-Based Alert System -- Evaluation of Detecting Patients' Abnormal Activity -- Performance Evaluation of Patient Discomfort Detection -- Analysis of Deep-Learning-Based Algorithm -- Analysis of Degrees of Delay -- Conclusion -- References -- Smart Factory Digital Twin for Performance Measurement, Optimization, and Prediction -- Introduction. Production Life Cycle -- Overview of Manufacturing Processes -- Smart Factory Digital Twin and Enterprise Reference Architecture -- Why Digital Twin for Manufacturing Performance Management -- Manufacturing Performance Management -- IoT and Data Platform Requirements -- Architecture Considerations -- IoT and Data Platform Solution Architecture -- Shop Floor Components -- Infrastructure Platform and IoT Services Layer -- IoT Services Layer -- Data Lake -- Analytics Services -- Overall Equipment Effectiveness (OEE) -- Performance Measurement -- Use Cases -- Data Required for Performance Measurement -- Solution Architecture for Performance Measurement -- Process Models -- External Interfaces -- Services for Performance Measurement -- Applications for Performance Measurement -- Data Flow -- Performance Optimization -- Use Cases -- Data Required for Performance Optimization -- Solution Architecture for Performance Optimization -- Services for Performance Optimization -- Applications for Performance Optimization -- Data Flow -- Performance Prediction -- Use Cases -- Data Required for Performance Prediction -- Solution Architecture for Performance Prediction -- Services for Performance Prediction -- Applications for Performance Prediction -- Data Flow -- Results -- Conclusion and Future Directions -- References -- Blockchain and Digital Twin -- Introduction -- Blockchain: Revolutionizing Trust and Security -- Digital Twin -- Literature Review -- Integration of Blockchain and Digital Twin -- Data Management -- Data Sharing and Data access control -- Smart Contracts and Automation -- Challenges -- Analyzing Challenges Through the PESTELS Approach -- Technological Challenges -- Legal Challenges -- Security Challenges -- Real-Time Applications/Results -- Supply Chain Management -- Manufacturing -- Smart Cities -- Healthcare and Medical Records. Digital Identity and Authentication -- Energy Grid Optimization -- Future Research -- Conclusion -- References -- Personalize Learning Experience in Education Using Digital Twins with Human-Centered Design and Pedagogy -- Introduction -- Role of Digital Twin -- Applications of Digital Twins -- Education -- Pedagogy Learning -- Teaching and Learning Process -- Digital Twin Education -- Literature Review -- Existing Method -- Traditional Learning -- Traditional Teaching -- Methodology -- Innovative Learning -- Advantages of Pedagogy Using Digital Twin for Better Understanding -- Digital Twin Challenges -- Pedagogy Learning in Digital Twin -- Teacher Role in Pedagogy Using Digital Twin -- Need of Pedagogical Teaching in Digital Twin -- Enhancing the Quality of Instruction -- Collaborative Learning -- Interactive Learning -- Individualized Learning Paths Are Available to Students -- Universal Learning Method -- Enhancing Teacher-Student Interaction -- Digital Twin Role in Education Field -- Proposed Work -- Result -- Real-Time Teaching -- Tools Used for Pedagogy Learning -- Outcome -- Conclusion -- References -- Human Digital Twin Processes and their Future -- Introduction -- History of Human Digital Twin Computing -- Evolution of the Human Digital Twin: From Concept to Reality -- Advantages of Human Digital Twins -- Disadvantages of Human Digital Twin -- Process of Human Digital Twins -- HDT Process with Various Recent Technologies -- Human Digital Twins and Artificial Intelligence (AI) -- Human Digital Twins and Machine Learning (ML) -- Human Digital Twins and Deep Learning -- Conceptual Paradigm for DT and HDT -- Similarity Between DT and HDT -- Differences Between DT and HDT -- Characteristics of HDTs -- Human Digital Twin Technology and Human Beings -- Are Human Digital Twins Against Humans? -- Wearable Devices and HDTs -- Data Collection. Real-Time Monitoring. |
| Record Nr. | UNINA-9910864191103321 |
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Mishra Ashutosh
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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