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Titre : Artificial Intelligence and Machine Learning for Sustainable Development Autre titre : Innovations, Challenges, and Applications Type de document : texte imprimé Auteurs : Pawan Whig, Auteur Mention d'édition : 1st Edition Editeur : USA : Taylor Année de publication : 2025 Importance : 274 P Présentation : couv.ill.fig.tab.ind Format : 26.5x18.5 cm ISBN/ISSN/EAN : 978-1-03-277835-8 Prix : 34500 Langues : Anglais (eng) Index. décimale : 006 Méthodes d'informatiques spéciales Résumé :
Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development.
The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.
Note de contenu :
1. Obstacles and Resolutions: Integrating Artificial Intelligence in Sustainable Development
Naga Ramesh Palakurti
2. Building a Sustainable Future: Education Initiatives and Employment Opportunities
Iti Batra and Seema Nath Jain
3. Energy Trading: Enhancing Sustainability in Renewable Resource Management
Walaa Hassan, Belal Elsabbagh, Amr Abdelaziz, George Essam, and Reem Aboushama
4. A Comprehensive Review on Artificial Intelligence: Machine Learning Models for Environmental Sustainability
R. M. Bhavadharini, P. Mercy Rajaselvi Beaulah, and R. Krithiga
5. AI for Sustainable Development in the Media and Entertainment Industry
Ankit Sharma, Amit Channa, Parul Malhotra, and Ardima Bajpai
6. AI and Water Resource Management: Ensuring Access and Sustainability
Sachin Sharma, Prithvi Baisla, Himanshu Rajput, and Ritik Tanwar
7. Building Blocks of Artificial Intelligence and Machine Learning: A Framework for Sustainable Development
Naga Ramesh Palakurti
8. Sustainable Smart Cities in African Digital Space
Basil Osayin Daudu, Goddy Uwa Osimen, and Esther Besty Anaiye
9. Smart City Governance and Citizen Engagement
Sunanda Vincent Jaiwant, Dheepa T., and Ajitha Haridasan
10. Fighting Fraud With Algorithms: AI Solutions for Claim Detection and Revolutionizing Fraud Detection in Insurance
Gopichand Vemulapalli
11. Challenges and Ethical Considerations Regarding AI and Media Practitioners: Toward a Sustainable Relationship
Walaa Fouda, Elizabeth Daggett Matar, and Abdelrahman Mostafa Arab
12. Innovative Applications of AI for Sustainable Supply Chain Management in Environmental Conservation
Saydulu Kolasani
13. Challenges and Prospects of Implementing AI-Powered Retail and Consumer Packaged Solutions in the Global Supply Chain for Enhanced Well-Being
Laxmi Srinivas Samayamantri
14. The Future of Business Is Intelligence in Education: AI for Efficiency, Innovation, and Growth
Nur Aeni, Muthmainnah, Ahmed A. Elngar, Muhammad Yunus, and Selvi Panggua
15. Ensuring Ethical Practices in AI and ML Toward a Sustainable Future
Sreedhar Yalamati
16. Charting the Ethical Horizon: A Deep Dive Into AI Ethics, Unraveling the Moral Threads in Machine Intelligence Development
Gopichand Vemulapalli
17. Moving Beyond Gender: Recognizing Equality and Inclusivity Across Cultures Through Feminist AI
Hitanshi Goel
18. The Contribution of Artificial Intelligence to Foster Sustainable Food Systems in Agriculture
Sreedhar Yalamati
19. Plastic Waste Management: Challenges and Potential Solutions with the Application of AI
Rattan Sharma and Pawan Whig
IndexArtificial Intelligence and Machine Learning for Sustainable Development ; Innovations, Challenges, and Applications [texte imprimé] / Pawan Whig, Auteur . - 1st Edition . - USA : Taylor, 2025 . - 274 P : couv.ill.fig.tab.ind ; 26.5x18.5 cm.
ISBN : 978-1-03-277835-8 : 34500
Langues : Anglais (eng)
Index. décimale : 006 Méthodes d'informatiques spéciales Résumé :
Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development.
The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.
Note de contenu :
1. Obstacles and Resolutions: Integrating Artificial Intelligence in Sustainable Development
Naga Ramesh Palakurti
2. Building a Sustainable Future: Education Initiatives and Employment Opportunities
Iti Batra and Seema Nath Jain
3. Energy Trading: Enhancing Sustainability in Renewable Resource Management
Walaa Hassan, Belal Elsabbagh, Amr Abdelaziz, George Essam, and Reem Aboushama
4. A Comprehensive Review on Artificial Intelligence: Machine Learning Models for Environmental Sustainability
R. M. Bhavadharini, P. Mercy Rajaselvi Beaulah, and R. Krithiga
5. AI for Sustainable Development in the Media and Entertainment Industry
Ankit Sharma, Amit Channa, Parul Malhotra, and Ardima Bajpai
6. AI and Water Resource Management: Ensuring Access and Sustainability
Sachin Sharma, Prithvi Baisla, Himanshu Rajput, and Ritik Tanwar
7. Building Blocks of Artificial Intelligence and Machine Learning: A Framework for Sustainable Development
Naga Ramesh Palakurti
8. Sustainable Smart Cities in African Digital Space
Basil Osayin Daudu, Goddy Uwa Osimen, and Esther Besty Anaiye
9. Smart City Governance and Citizen Engagement
Sunanda Vincent Jaiwant, Dheepa T., and Ajitha Haridasan
10. Fighting Fraud With Algorithms: AI Solutions for Claim Detection and Revolutionizing Fraud Detection in Insurance
Gopichand Vemulapalli
11. Challenges and Ethical Considerations Regarding AI and Media Practitioners: Toward a Sustainable Relationship
Walaa Fouda, Elizabeth Daggett Matar, and Abdelrahman Mostafa Arab
12. Innovative Applications of AI for Sustainable Supply Chain Management in Environmental Conservation
Saydulu Kolasani
13. Challenges and Prospects of Implementing AI-Powered Retail and Consumer Packaged Solutions in the Global Supply Chain for Enhanced Well-Being
Laxmi Srinivas Samayamantri
14. The Future of Business Is Intelligence in Education: AI for Efficiency, Innovation, and Growth
Nur Aeni, Muthmainnah, Ahmed A. Elngar, Muhammad Yunus, and Selvi Panggua
15. Ensuring Ethical Practices in AI and ML Toward a Sustainable Future
Sreedhar Yalamati
16. Charting the Ethical Horizon: A Deep Dive Into AI Ethics, Unraveling the Moral Threads in Machine Intelligence Development
Gopichand Vemulapalli
17. Moving Beyond Gender: Recognizing Equality and Inclusivity Across Cultures Through Feminist AI
Hitanshi Goel
18. The Contribution of Artificial Intelligence to Foster Sustainable Food Systems in Agriculture
Sreedhar Yalamati
19. Plastic Waste Management: Challenges and Potential Solutions with the Application of AI
Rattan Sharma and Pawan Whig
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Code-barres Cote Support Localisation Section Disponibilité 25/326749 L/006.060 Livre Bibliothèque Science et Technologie indéterminé Exclu du prêt 25/326750 L/006.060 Livre Bibliothèque Science et Technologie indéterminé Disponible Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection / Almoataz Y. Abdelaziz
Titre : Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection Type de document : texte imprimé Auteurs : Almoataz Y. Abdelaziz, Auteur Editeur : USA : Taylor Année de publication : 2022 Importance : 482 P Présentation : cov.ill.fig.tab.ind Format : 23.5 x15.5 cm ISBN/ISSN/EAN : 978-0-367-55238-1 Prix : 17 700,00 da Langues : Anglais (eng) Résumé : Artificial intelligence (AI) can successfully help in solving real-world problems in power transmission and distribution systems because　AI-based schemes are fast, adaptive, and robust and are applicable without any knowledge of the system parameters. This book considers the application of AI methods for the protection of different types and topologies of transmission and distribution lines. It explains the latest pattern-recognition-based methods as applicable to detection, classification, and location of a fault in the transmission and distribution lines, and to manage smart power systems including all the pertinent aspects.FEATURES
Provides essential insight on uses of different AI techniques for pattern recognition, classification, prediction, and estimation, exclusive to power system protection issues
Presents an introduction to enhanced electricity system analysis using decision-making tools
Covers AI applications in different protective relaying functions
Discusses issues and challenges in the protection of transmission and distribution systems
Includes a dedicated chapter on case studies and applications
This book is aimed at graduate students, researchers, and professionals in electrical power system protection, stability, and smart grids.Note de contenu : Chapter 1 Application of Metaheuristic Algorithms in Various Aspects of Electrical Transmission and Systems Protection Protection
Vijay Kale, Anamika Yadav, Prashant Bedekar
Chapter 2 AI-based Scheme for the Protection of Power Systems Networks Due to Incorporation of Distributed Generations
Bhavesh Kumar R. Bhalja, Yogesh M. Makwana
Chapter 3 An Intelligent Scheme for Classification of Shunt Faults Including Atypical Faults in Double-Circuit Transmission Line
Valabhoju Ashok, Anamika Yadav, Mohammad Pazoki, Almoataz Y. Abdelaziz
Chapter 4 An Artificial Intelligence -Based Detection and Classification of Faults on Transmission Lines
Dalia Allam, Almoataz Y. Abdelaziz
Chapter 5 Intelligent Fault Location Schemes for Modern Power Systems
Tamer A. Kawady, Mahmoud A. Elsadd, Nagy I. Elkalashy
Chapter 6 An Integrated Approach for Fault Detection, Classification and Location in MediumVoltage Underground Cables
M. Karthikeyan, R. Rengaraj
Chapter 7 A New High Impedance Fault Detection Technique Using Deep Learning Neural Network
M. M. Eissa, M. H. Awadalla, A. M. Sharaf
Chapter 8 AI-based Scheme for the Protection of Multi-Terminal Transmission Lines
Bhavesh Kumar R. Bhalja
Chapter 9 Data Mining-Based Protection Methodologies for Series Compensated Transmission Network
S. K. Singh, D. N. Vishwakarma, R. K. Saket
Chapter 10 AI-Based Protective Relaying Schemes for Transmission Line Compensated with FACTS Devices
Bhupendra Kumar, Anamika Yadav, Almoataz Y. Abdelaziz
Chapter 11 AI-based PMUs Allocation for Protecting Transmission Lines
Abdelazeem A. Abdelsalam, Karim M. Hassanin
Chapter 12 An Expert System for Optimal Coordination of Directional Overcurrent Relays in Meshed Networks
Hajjar A. Ammar
Chapter 13 Optimal Overcurrent Relay Coordination Considering Standard and Non-Standard Characteristics
Ahmed Korashy, Salah Kamel, Loai Nasrat, Francisco Jurado
Chapter 14 Artificial Intelligence Applications in DC Microgrid Protection
Morteza Shamsoddini, Behrooz Vahidi
Chapter 15 Soft Computing-Based DC-Link Voltage Control Technique for SAPF in Harmonic and Reactive Power Compensation
Pravat Kumar Ray, Sushree Diptimayee Swain
Chapter 16 Artificial Intelligence Application for HVDC Protection
Zahra Moravej, Amir Imani, Mohammad Pazoki
Chapter 17 Intelligent Schemes for Fault Detection, Classification, and Location in HVDC Systems
Mohammad Farshad
Chapter 18 Fault Classification and Location in MT-HVDC Systems based on Machine Learning
Raheel Muzzammel, Ali RazaArtificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection [texte imprimé] / Almoataz Y. Abdelaziz, Auteur . - USA : Taylor, 2022 . - 482 P : cov.ill.fig.tab.ind ; 23.5 x15.5 cm.
ISBN : 978-0-367-55238-1 : 17 700,00 da
Langues : Anglais (eng)
Résumé : Artificial intelligence (AI) can successfully help in solving real-world problems in power transmission and distribution systems because　AI-based schemes are fast, adaptive, and robust and are applicable without any knowledge of the system parameters. This book considers the application of AI methods for the protection of different types and topologies of transmission and distribution lines. It explains the latest pattern-recognition-based methods as applicable to detection, classification, and location of a fault in the transmission and distribution lines, and to manage smart power systems including all the pertinent aspects.FEATURES
Provides essential insight on uses of different AI techniques for pattern recognition, classification, prediction, and estimation, exclusive to power system protection issues
Presents an introduction to enhanced electricity system analysis using decision-making tools
Covers AI applications in different protective relaying functions
Discusses issues and challenges in the protection of transmission and distribution systems
Includes a dedicated chapter on case studies and applications
This book is aimed at graduate students, researchers, and professionals in electrical power system protection, stability, and smart grids.Note de contenu : Chapter 1 Application of Metaheuristic Algorithms in Various Aspects of Electrical Transmission and Systems Protection Protection
Vijay Kale, Anamika Yadav, Prashant Bedekar
Chapter 2 AI-based Scheme for the Protection of Power Systems Networks Due to Incorporation of Distributed Generations
Bhavesh Kumar R. Bhalja, Yogesh M. Makwana
Chapter 3 An Intelligent Scheme for Classification of Shunt Faults Including Atypical Faults in Double-Circuit Transmission Line
Valabhoju Ashok, Anamika Yadav, Mohammad Pazoki, Almoataz Y. Abdelaziz
Chapter 4 An Artificial Intelligence -Based Detection and Classification of Faults on Transmission Lines
Dalia Allam, Almoataz Y. Abdelaziz
Chapter 5 Intelligent Fault Location Schemes for Modern Power Systems
Tamer A. Kawady, Mahmoud A. Elsadd, Nagy I. Elkalashy
Chapter 6 An Integrated Approach for Fault Detection, Classification and Location in MediumVoltage Underground Cables
M. Karthikeyan, R. Rengaraj
Chapter 7 A New High Impedance Fault Detection Technique Using Deep Learning Neural Network
M. M. Eissa, M. H. Awadalla, A. M. Sharaf
Chapter 8 AI-based Scheme for the Protection of Multi-Terminal Transmission Lines
Bhavesh Kumar R. Bhalja
Chapter 9 Data Mining-Based Protection Methodologies for Series Compensated Transmission Network
S. K. Singh, D. N. Vishwakarma, R. K. Saket
Chapter 10 AI-Based Protective Relaying Schemes for Transmission Line Compensated with FACTS Devices
Bhupendra Kumar, Anamika Yadav, Almoataz Y. Abdelaziz
Chapter 11 AI-based PMUs Allocation for Protecting Transmission Lines
Abdelazeem A. Abdelsalam, Karim M. Hassanin
Chapter 12 An Expert System for Optimal Coordination of Directional Overcurrent Relays in Meshed Networks
Hajjar A. Ammar
Chapter 13 Optimal Overcurrent Relay Coordination Considering Standard and Non-Standard Characteristics
Ahmed Korashy, Salah Kamel, Loai Nasrat, Francisco Jurado
Chapter 14 Artificial Intelligence Applications in DC Microgrid Protection
Morteza Shamsoddini, Behrooz Vahidi
Chapter 15 Soft Computing-Based DC-Link Voltage Control Technique for SAPF in Harmonic and Reactive Power Compensation
Pravat Kumar Ray, Sushree Diptimayee Swain
Chapter 16 Artificial Intelligence Application for HVDC Protection
Zahra Moravej, Amir Imani, Mohammad Pazoki
Chapter 17 Intelligent Schemes for Fault Detection, Classification, and Location in HVDC Systems
Mohammad Farshad
Chapter 18 Fault Classification and Location in MT-HVDC Systems based on Machine Learning
Raheel Muzzammel, Ali RazaRéservation
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Titre : Artificial Intelligence Autre titre : Fundamentals and Applications Type de document : texte imprimé Auteurs : Cherry Bhargava, Auteur ; Pradeep Kumar Sharma, Auteur Mention d'édition : 1st Edition Editeur : USA : Taylor Année de publication : 2022 Importance : 256 P Présentation : couv.ill.fig.tab.ind Format : 22.5x16 cm ISBN/ISSN/EAN : 978-0-367-55973-1 Prix : 13700 Langues : Anglais (eng) Index. décimale : 006 Méthodes d'informatiques spéciales Résumé :
This comprehensive reference text discusses the fundamental concepts of artificial intelligence and its applications in a single volume.
Artificial Intelligence: Fundamentals and Applications presents a detailed discussion of basic aspects and ethics in the field of artificial intelligence and its applications in areas, including electronic devices and systems, consumer electronics, automobile engineering, manufacturing, robotics and automation, agriculture, banking, and predictive analysis.
Aimed at senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, manufacturing engineering, pharmacy, and healthcare, this text:
- Discusses advances in artificial intelligence and its applications.
- Presents the predictive analysis and data analysis using artificial intelligence.
- Covers the algorithms and pseudo-codes for different domains.
- Discusses the latest development of artificial intelligence in the field of practical speech recognition, machine translation, autonomous vehicles, and household robotics.
- Covers the applications of artificial intelligence in fields, including pharmacy and healthcare, electronic devices and systems, manufacturing, consumer electronics, and robotics.
Artificial Intelligence ; Fundamentals and Applications [texte imprimé] / Cherry Bhargava, Auteur ; Pradeep Kumar Sharma, Auteur . - 1st Edition . - USA : Taylor, 2022 . - 256 P : couv.ill.fig.tab.ind ; 22.5x16 cm.
ISBN : 978-0-367-55973-1 : 13700
Langues : Anglais (eng)
Index. décimale : 006 Méthodes d'informatiques spéciales Résumé :
This comprehensive reference text discusses the fundamental concepts of artificial intelligence and its applications in a single volume.
Artificial Intelligence: Fundamentals and Applications presents a detailed discussion of basic aspects and ethics in the field of artificial intelligence and its applications in areas, including electronic devices and systems, consumer electronics, automobile engineering, manufacturing, robotics and automation, agriculture, banking, and predictive analysis.
Aimed at senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, manufacturing engineering, pharmacy, and healthcare, this text:
- Discusses advances in artificial intelligence and its applications.
- Presents the predictive analysis and data analysis using artificial intelligence.
- Covers the algorithms and pseudo-codes for different domains.
- Discusses the latest development of artificial intelligence in the field of practical speech recognition, machine translation, autonomous vehicles, and household robotics.
- Covers the applications of artificial intelligence in fields, including pharmacy and healthcare, electronic devices and systems, manufacturing, consumer electronics, and robotics.
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Code-barres Cote Support Localisation Section Disponibilité 25/326745 L/006.059 Livre Bibliothèque Science et Technologie indéterminé Exclu du prêt 25/326746 L/006.059 Livre Bibliothèque Science et Technologie indéterminé Disponible 25/326747 L/006.059 Livre Bibliothèque Science et Technologie indéterminé Disponible
Titre : Computer Vision and Image Analysis for Industry 4.0 Type de document : texte imprimé Auteurs : Nazmul Siddique, Auteur Mention d'édition : 1 Editeur : USA : Taylor Année de publication : 2023 Importance : 197 P Présentation : couv.ill.fig.tab.ind Format : 26x18 cm ISBN/ISSN/EAN : 978-1-03-218762-4 Langues : Anglais (eng) Résumé : Computer vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles in automation and quality assurance. Working environments can be improved significantly if we integrate computer vision and image analysis techniques. The more advancement in innovation and research in computer vision and image processing, the greater the efficiency of machines as well as humans. Computer Vision and Image Analysis for Industry 4.0 focuses on the roles of computer vision and image analysis for 4.0 IR-related technologies. The text proposes a variety of techniques for disease detection and prediction, text recognition and signature verification, image captioning, flood level assessment, crops classifications and fabrication of smart eye-controlled wheelchairs. Note de contenu :
1.A Benchmark Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR) and Line Segmentation.
2. A New Approach Using Convolutional Neural Network for Crops and Weeds Classification.
3. Lemon Fruits Detection and Instance Segmentation Under Orchard Environment Using Mask R-CNN and YOLOv5.
4. A Deep Learning Approach in Detailed Fingerprint Identification.
5. Probing Skin Lesions and Performing Classification of Skin Cancer Using Efficient Net while Resolving Class Imbalance Using SMOTE.
6. Advanced Grad CAM: Improved Visual Explanations of CNN’s decision in Diabetic Retinopathy.
7. Bangla Sign Language Recognition Using Concatenated BDSL Network.
8. Chest Xray Net: A Multi-class Deep Convolutional Neural Networks for Detecting Abnormalities in Chest X-Ray Images.
9. Achieving Human Level Performance on the Original Omniglot Challenge.
10. A Real-Time Classification Model for Bengali Character Recognition in Air-Writing.
11. A Deep Learning Approach for Covid-19 Detection in Chest X-Rays.
12. Automatic Image Captioning Using Deep Learning.
13. A Convolutional Neural Network Based Approach to Recognize Bangla Handwritten Characters.
14. Flood Region Detection Based on K-Means Algorithm and Color Probability.
15. Fabrication of Smart Eye Controlled Wheelchair for Disabled Person.Computer Vision and Image Analysis for Industry 4.0 [texte imprimé] / Nazmul Siddique, Auteur . - 1 . - USA : Taylor, 2023 . - 197 P : couv.ill.fig.tab.ind ; 26x18 cm.
ISBN : 978-1-03-218762-4
Langues : Anglais (eng)
Résumé : Computer vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles in automation and quality assurance. Working environments can be improved significantly if we integrate computer vision and image analysis techniques. The more advancement in innovation and research in computer vision and image processing, the greater the efficiency of machines as well as humans. Computer Vision and Image Analysis for Industry 4.0 focuses on the roles of computer vision and image analysis for 4.0 IR-related technologies. The text proposes a variety of techniques for disease detection and prediction, text recognition and signature verification, image captioning, flood level assessment, crops classifications and fabrication of smart eye-controlled wheelchairs. Note de contenu :
1.A Benchmark Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR) and Line Segmentation.
2. A New Approach Using Convolutional Neural Network for Crops and Weeds Classification.
3. Lemon Fruits Detection and Instance Segmentation Under Orchard Environment Using Mask R-CNN and YOLOv5.
4. A Deep Learning Approach in Detailed Fingerprint Identification.
5. Probing Skin Lesions and Performing Classification of Skin Cancer Using Efficient Net while Resolving Class Imbalance Using SMOTE.
6. Advanced Grad CAM: Improved Visual Explanations of CNN’s decision in Diabetic Retinopathy.
7. Bangla Sign Language Recognition Using Concatenated BDSL Network.
8. Chest Xray Net: A Multi-class Deep Convolutional Neural Networks for Detecting Abnormalities in Chest X-Ray Images.
9. Achieving Human Level Performance on the Original Omniglot Challenge.
10. A Real-Time Classification Model for Bengali Character Recognition in Air-Writing.
11. A Deep Learning Approach for Covid-19 Detection in Chest X-Rays.
12. Automatic Image Captioning Using Deep Learning.
13. A Convolutional Neural Network Based Approach to Recognize Bangla Handwritten Characters.
14. Flood Region Detection Based on K-Means Algorithm and Color Probability.
15. Fabrication of Smart Eye Controlled Wheelchair for Disabled Person.Réservation
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Titre : Construction and Building Automation : From Concepts to Implementation Type de document : texte imprimé Auteurs : Benny Raphael, Auteur Editeur : USA : Taylor Année de publication : 2022 Importance : 266 p Présentation : couv.illi.fig.tab.ind Format : 24.5×17 cm ISBN/ISSN/EAN : 978-0-367-76110-3 Prix : 11,800.00 Note générale :
Table of Contents
1. Introduction to automation
2. Hardware for automation
3. Software for automation
4. Application: building Automation
5. Application: construction automation
6. Introduction to machine learning
7. Basic mathematics for machine learning
8. Regression
9. Classification task
10. Inductive learning – decision trees and random forests
11. Unsupervised learning algorithms EpilogueLangues : Anglais (eng) Résumé :
This book is intended to be used as a textbook in undergraduate civil engineering and construction courses to introduce cutting edge mechanical, electrical, and computer science topics that are needed for civil and construction engineers to collaborate in inter-disciplinary automation projects.Construction and Building Automation : From Concepts to Implementation [texte imprimé] / Benny Raphael, Auteur . - USA : Taylor, 2022 . - 266 p : couv.illi.fig.tab.ind ; 24.5×17 cm.
ISBN : 978-0-367-76110-3 : 11,800.00
Table of Contents
1. Introduction to automation
2. Hardware for automation
3. Software for automation
4. Application: building Automation
5. Application: construction automation
6. Introduction to machine learning
7. Basic mathematics for machine learning
8. Regression
9. Classification task
10. Inductive learning – decision trees and random forests
11. Unsupervised learning algorithms Epilogue
Langues : Anglais (eng)
Résumé :
This book is intended to be used as a textbook in undergraduate civil engineering and construction courses to introduce cutting edge mechanical, electrical, and computer science topics that are needed for civil and construction engineers to collaborate in inter-disciplinary automation projects.Réservation
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