Optimizing intelligent systems for cross-industry application:
"Intelligent systems, powered by artificial intelligence (AI) and machine learning, offer transformative benefits across diverse sectors, from healthcare and finance to manufacturing and agriculture. By refining these systems to be more adaptable, scalable, and informative, industries can solve...
Gespeichert in:
| Weitere Verfasser: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2024.
|
| Schriftenreihe: | Advances in computational intelligence and robotics (ACIR) book series.
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | "Intelligent systems, powered by artificial intelligence (AI) and machine learning, offer transformative benefits across diverse sectors, from healthcare and finance to manufacturing and agriculture. By refining these systems to be more adaptable, scalable, and informative, industries can solve complex business problems and streamline operations. Effective research into technical challenges across intelligent system application is necessary to prioritize their development and impact in industries, such as crop analysis, disease diagnosis, or traffic management. Optimizing Intelligent Systems for Cross-Industry Application explores the challenges and opportunities associated with intelligent technology integration in various sectors, including agriculture, medicine, healthcare, computer engineering, business management, and environmental research. It presents solutions for the effective use of intelligent systems within their respective industries. This book covers topics such as human resources, smart cities, and crop productivity, and is a useful resource for computer engineers, agriculturalists, business owners, healthcare professionals, environmentalists, researchers, scientists, and academicians."-- |
| Beschreibung: | 28 PDFs (559 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369386613 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
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| 245 | 0 | 0 | |a Optimizing intelligent systems for cross-industry application |c S. Suman Rajest, Salvatore Moccia, Bhopendra Singh, R. Regin, Joseph Jeganathan, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2024. | |
| 300 | |a 28 PDFs (559 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 490 | 1 | |a Advances in computational intelligence and robotics (ACIR) book series | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Preface -- Chapter 1. From Data to Decisions on Artificial Intelligence's Influence on Digital Marketing Research -- Chapter 2. Enhancing Organizational Competitiveness Through Advancing Intelligent Human Resources Analytics -- Chapter 3. Influencing Project Success on the Impact of Project Management Persuasion via IoT-Enabled Systems in Construction Projects -- Chapter 4. Next-Generation Management on Exploring AI-Driven Decision Support in Business -- Chapter 5. Land Data Analytics for Precision Crop Selection in Agricultural Systems -- Chapter 6. Intelligent Systems on Learning Using Artificial Intelligence -- Chapter 7. Impact of Artificial Intelligence on Customer Journey Mapping and Experience Design -- Chapter 8. Challenges and Potential Solutions Using IoT Applications in Smart Cities for COVID-19 -- Chapter 9. A Study on the Impact of Intelligent Systems on Human Resource Management -- Chapter 10. A Biomedical Dataset Analysis on Predictive Modeling of Chronic Kidney Disease Using Machine Learning -- Chapter 11. A Deep Learning Approach for Predicting Chronic Kidney Disease in Electronic Health Records in Neural Nephrology -- Chapter 12. Depth Sensing in AI on Exploring the Nuances of Decision Maps for Explainability -- Chapter 13. Efficient Treatment Planning on Optimization Techniques Empowered by AI in Dentistry -- Chapter 14. Enhancing Crop Productivity Through Land Dataset Analysis on Selecting the Right Crops for the Right Land -- Chapter 15. Environmental Data Analysis for Air Quality Monitoring and Control -- Chapter 16. Comprehensive Intrusion Detection and Classification Using Deep Learning Techniques With Preprocessing and Feature Extraction -- Chapter 17. Deep Convolutional Neural Networks for Lung Segmentation for Diffuse Interstitial Lung Disease on HRCT and Volumetric CT -- Chapter 18. Enhanced Immunity Disorder Classification Through Hybrid Model Integration -- Chapter 19. Integrated Vehicle Detection and Noise Removal in Traffic Footage Using CNN, Kalman Filter, and Canny Edge Detection -- Chapter 20. Insights Into AI Systems for Recognizing Human Emotions, Actions, and Gestures -- Chapter 21. Transfer Learning Approaches for Colorectal Tumour Detection on Adapting Pre-Trained Models to Diverse Medical Imaging Datasets -- Chapter 22. Visual Vigilance on a Smart Approach to Melanoma Prediction via Image Mastery -- Compilation of References -- About the Contributors -- Index. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "Intelligent systems, powered by artificial intelligence (AI) and machine learning, offer transformative benefits across diverse sectors, from healthcare and finance to manufacturing and agriculture. By refining these systems to be more adaptable, scalable, and informative, industries can solve complex business problems and streamline operations. Effective research into technical challenges across intelligent system application is necessary to prioritize their development and impact in industries, such as crop analysis, disease diagnosis, or traffic management. Optimizing Intelligent Systems for Cross-Industry Application explores the challenges and opportunities associated with intelligent technology integration in various sectors, including agriculture, medicine, healthcare, computer engineering, business management, and environmental research. It presents solutions for the effective use of intelligent systems within their respective industries. This book covers topics such as human resources, smart cities, and crop productivity, and is a useful resource for computer engineers, agriculturalists, business owners, healthcare professionals, environmentalists, researchers, scientists, and academicians."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 09/02/2024). | ||
| 650 | 0 | |a Artificial intelligence |x Industrial applications. | |
| 650 | 0 | |a Machine learning |x Industrial applications. | |
| 650 | 0 | |a Smart cities. | |
| 653 | |a Agriculture and Food Science. | ||
| 653 | |a Air Quality Monitoring. | ||
| 653 | |a Artificial Intelligence (AI) | ||
| 653 | |a Crop Productivity. | ||
| 653 | |a Customer Experience. | ||
| 653 | |a Data Systems and Analysis. | ||
| 653 | |a Deep Convolutional Neural Networks. | ||
| 653 | |a Diagnosis and Treatment. | ||
| 653 | |a Digital Technology. | ||
| 653 | |a Environmental Data Analysis. | ||
| 653 | |a Human Resource Management (HRM) | ||
| 653 | |a Internet of Things (IoT) | ||
| 653 | |a Machine Learning. | ||
| 653 | |a Project Management. | ||
| 653 | |a Smart Cities. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Jeganathan, Joseph |e editor. | |
| 700 | 1 | |a Moccia, Salvatore |d 1968- |e editor. | |
| 700 | 1 | |a Rajest, S. Suman |d 1988- |e editor. | |
| 700 | 1 | |a Regin, R |d 1985- |e editor. | |
| 700 | 1 | |a Singh, Bhopendra |d 1974- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369386590 |
| 830 | 0 | |a Advances in computational intelligence and robotics (ACIR) book series. | |
| 966 | 4 | 0 | |l DE-862 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-8659-0 |3 Volltext |
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| author2 | Jeganathan, Joseph Moccia, Salvatore 1968- Rajest, S. Suman 1988- Regin, R 1985- Singh, Bhopendra 1974- |
| author2_role | edt edt edt edt edt |
| author2_variant | j j jj s m sm s s r ss ssr r r rr b s bs |
| author_facet | Jeganathan, Joseph Moccia, Salvatore 1968- Rajest, S. Suman 1988- Regin, R 1985- Singh, Bhopendra 1974- |
| building | Verbundindex |
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| callnumber-first | T - Technology |
| callnumber-label | TA347 |
| callnumber-raw | TA347.A78 O685 2024e |
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| collection | ZDB-98-IGB |
| contents | Preface -- Chapter 1. From Data to Decisions on Artificial Intelligence's Influence on Digital Marketing Research -- Chapter 2. Enhancing Organizational Competitiveness Through Advancing Intelligent Human Resources Analytics -- Chapter 3. Influencing Project Success on the Impact of Project Management Persuasion via IoT-Enabled Systems in Construction Projects -- Chapter 4. Next-Generation Management on Exploring AI-Driven Decision Support in Business -- Chapter 5. Land Data Analytics for Precision Crop Selection in Agricultural Systems -- Chapter 6. Intelligent Systems on Learning Using Artificial Intelligence -- Chapter 7. Impact of Artificial Intelligence on Customer Journey Mapping and Experience Design -- Chapter 8. Challenges and Potential Solutions Using IoT Applications in Smart Cities for COVID-19 -- Chapter 9. A Study on the Impact of Intelligent Systems on Human Resource Management -- Chapter 10. A Biomedical Dataset Analysis on Predictive Modeling of Chronic Kidney Disease Using Machine Learning -- Chapter 11. A Deep Learning Approach for Predicting Chronic Kidney Disease in Electronic Health Records in Neural Nephrology -- Chapter 12. Depth Sensing in AI on Exploring the Nuances of Decision Maps for Explainability -- Chapter 13. Efficient Treatment Planning on Optimization Techniques Empowered by AI in Dentistry -- Chapter 14. Enhancing Crop Productivity Through Land Dataset Analysis on Selecting the Right Crops for the Right Land -- Chapter 15. Environmental Data Analysis for Air Quality Monitoring and Control -- Chapter 16. Comprehensive Intrusion Detection and Classification Using Deep Learning Techniques With Preprocessing and Feature Extraction -- Chapter 17. Deep Convolutional Neural Networks for Lung Segmentation for Diffuse Interstitial Lung Disease on HRCT and Volumetric CT -- Chapter 18. Enhanced Immunity Disorder Classification Through Hybrid Model Integration -- Chapter 19. Integrated Vehicle Detection and Noise Removal in Traffic Footage Using CNN, Kalman Filter, and Canny Edge Detection -- Chapter 20. Insights Into AI Systems for Recognizing Human Emotions, Actions, and Gestures -- Chapter 21. Transfer Learning Approaches for Colorectal Tumour Detection on Adapting Pre-Trained Models to Diverse Medical Imaging Datasets -- Chapter 22. Visual Vigilance on a Smart Approach to Melanoma Prediction via Image Mastery -- Compilation of References -- About the Contributors -- Index. |
| ctrlnum | (CaBNVSL)slc00006749 (OCoLC)1453974723 |
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| dewey-ones | 006 - Special computer methods |
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| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00352068 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:39Z |
| institution | BVB |
| isbn | 9798369386613 |
| language | English |
| oclc_num | 1453974723 |
| open_access_boolean | |
| owner | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 28 PDFs (559 Seiten) Also available in print. |
| psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | IGI Global |
| record_format | marc |
| series | Advances in computational intelligence and robotics (ACIR) book series. |
| series2 | Advances in computational intelligence and robotics (ACIR) book series |
| spelling | Optimizing intelligent systems for cross-industry application S. Suman Rajest, Salvatore Moccia, Bhopendra Singh, R. Regin, Joseph Jeganathan, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2024. 28 PDFs (559 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Advances in computational intelligence and robotics (ACIR) book series Includes bibliographical references and index. Preface -- Chapter 1. From Data to Decisions on Artificial Intelligence's Influence on Digital Marketing Research -- Chapter 2. Enhancing Organizational Competitiveness Through Advancing Intelligent Human Resources Analytics -- Chapter 3. Influencing Project Success on the Impact of Project Management Persuasion via IoT-Enabled Systems in Construction Projects -- Chapter 4. Next-Generation Management on Exploring AI-Driven Decision Support in Business -- Chapter 5. Land Data Analytics for Precision Crop Selection in Agricultural Systems -- Chapter 6. Intelligent Systems on Learning Using Artificial Intelligence -- Chapter 7. Impact of Artificial Intelligence on Customer Journey Mapping and Experience Design -- Chapter 8. Challenges and Potential Solutions Using IoT Applications in Smart Cities for COVID-19 -- Chapter 9. A Study on the Impact of Intelligent Systems on Human Resource Management -- Chapter 10. A Biomedical Dataset Analysis on Predictive Modeling of Chronic Kidney Disease Using Machine Learning -- Chapter 11. A Deep Learning Approach for Predicting Chronic Kidney Disease in Electronic Health Records in Neural Nephrology -- Chapter 12. Depth Sensing in AI on Exploring the Nuances of Decision Maps for Explainability -- Chapter 13. Efficient Treatment Planning on Optimization Techniques Empowered by AI in Dentistry -- Chapter 14. Enhancing Crop Productivity Through Land Dataset Analysis on Selecting the Right Crops for the Right Land -- Chapter 15. Environmental Data Analysis for Air Quality Monitoring and Control -- Chapter 16. Comprehensive Intrusion Detection and Classification Using Deep Learning Techniques With Preprocessing and Feature Extraction -- Chapter 17. Deep Convolutional Neural Networks for Lung Segmentation for Diffuse Interstitial Lung Disease on HRCT and Volumetric CT -- Chapter 18. Enhanced Immunity Disorder Classification Through Hybrid Model Integration -- Chapter 19. Integrated Vehicle Detection and Noise Removal in Traffic Footage Using CNN, Kalman Filter, and Canny Edge Detection -- Chapter 20. Insights Into AI Systems for Recognizing Human Emotions, Actions, and Gestures -- Chapter 21. Transfer Learning Approaches for Colorectal Tumour Detection on Adapting Pre-Trained Models to Diverse Medical Imaging Datasets -- Chapter 22. Visual Vigilance on a Smart Approach to Melanoma Prediction via Image Mastery -- Compilation of References -- About the Contributors -- Index. Restricted to subscribers or individual electronic text purchasers. "Intelligent systems, powered by artificial intelligence (AI) and machine learning, offer transformative benefits across diverse sectors, from healthcare and finance to manufacturing and agriculture. By refining these systems to be more adaptable, scalable, and informative, industries can solve complex business problems and streamline operations. Effective research into technical challenges across intelligent system application is necessary to prioritize their development and impact in industries, such as crop analysis, disease diagnosis, or traffic management. Optimizing Intelligent Systems for Cross-Industry Application explores the challenges and opportunities associated with intelligent technology integration in various sectors, including agriculture, medicine, healthcare, computer engineering, business management, and environmental research. It presents solutions for the effective use of intelligent systems within their respective industries. This book covers topics such as human resources, smart cities, and crop productivity, and is a useful resource for computer engineers, agriculturalists, business owners, healthcare professionals, environmentalists, researchers, scientists, and academicians."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 09/02/2024). Artificial intelligence Industrial applications. Machine learning Industrial applications. Smart cities. Agriculture and Food Science. Air Quality Monitoring. Artificial Intelligence (AI) Crop Productivity. Customer Experience. Data Systems and Analysis. Deep Convolutional Neural Networks. Diagnosis and Treatment. Digital Technology. Environmental Data Analysis. Human Resource Management (HRM) Internet of Things (IoT) Machine Learning. Project Management. Smart Cities. Electronic books. Jeganathan, Joseph editor. Moccia, Salvatore 1968- editor. Rajest, S. Suman 1988- editor. Regin, R 1985- editor. Singh, Bhopendra 1974- editor. IGI Global, publisher. Print version: 9798369386590 Advances in computational intelligence and robotics (ACIR) book series. |
| spellingShingle | Optimizing intelligent systems for cross-industry application Advances in computational intelligence and robotics (ACIR) book series. Preface -- Chapter 1. From Data to Decisions on Artificial Intelligence's Influence on Digital Marketing Research -- Chapter 2. Enhancing Organizational Competitiveness Through Advancing Intelligent Human Resources Analytics -- Chapter 3. Influencing Project Success on the Impact of Project Management Persuasion via IoT-Enabled Systems in Construction Projects -- Chapter 4. Next-Generation Management on Exploring AI-Driven Decision Support in Business -- Chapter 5. Land Data Analytics for Precision Crop Selection in Agricultural Systems -- Chapter 6. Intelligent Systems on Learning Using Artificial Intelligence -- Chapter 7. Impact of Artificial Intelligence on Customer Journey Mapping and Experience Design -- Chapter 8. Challenges and Potential Solutions Using IoT Applications in Smart Cities for COVID-19 -- Chapter 9. A Study on the Impact of Intelligent Systems on Human Resource Management -- Chapter 10. A Biomedical Dataset Analysis on Predictive Modeling of Chronic Kidney Disease Using Machine Learning -- Chapter 11. A Deep Learning Approach for Predicting Chronic Kidney Disease in Electronic Health Records in Neural Nephrology -- Chapter 12. Depth Sensing in AI on Exploring the Nuances of Decision Maps for Explainability -- Chapter 13. Efficient Treatment Planning on Optimization Techniques Empowered by AI in Dentistry -- Chapter 14. Enhancing Crop Productivity Through Land Dataset Analysis on Selecting the Right Crops for the Right Land -- Chapter 15. Environmental Data Analysis for Air Quality Monitoring and Control -- Chapter 16. Comprehensive Intrusion Detection and Classification Using Deep Learning Techniques With Preprocessing and Feature Extraction -- Chapter 17. Deep Convolutional Neural Networks for Lung Segmentation for Diffuse Interstitial Lung Disease on HRCT and Volumetric CT -- Chapter 18. Enhanced Immunity Disorder Classification Through Hybrid Model Integration -- Chapter 19. Integrated Vehicle Detection and Noise Removal in Traffic Footage Using CNN, Kalman Filter, and Canny Edge Detection -- Chapter 20. Insights Into AI Systems for Recognizing Human Emotions, Actions, and Gestures -- Chapter 21. Transfer Learning Approaches for Colorectal Tumour Detection on Adapting Pre-Trained Models to Diverse Medical Imaging Datasets -- Chapter 22. Visual Vigilance on a Smart Approach to Melanoma Prediction via Image Mastery -- Compilation of References -- About the Contributors -- Index. Artificial intelligence Industrial applications. Machine learning Industrial applications. Smart cities. |
| title | Optimizing intelligent systems for cross-industry application |
| title_auth | Optimizing intelligent systems for cross-industry application |
| title_exact_search | Optimizing intelligent systems for cross-industry application |
| title_full | Optimizing intelligent systems for cross-industry application S. Suman Rajest, Salvatore Moccia, Bhopendra Singh, R. Regin, Joseph Jeganathan, editors. |
| title_fullStr | Optimizing intelligent systems for cross-industry application S. Suman Rajest, Salvatore Moccia, Bhopendra Singh, R. Regin, Joseph Jeganathan, editors. |
| title_full_unstemmed | Optimizing intelligent systems for cross-industry application S. Suman Rajest, Salvatore Moccia, Bhopendra Singh, R. Regin, Joseph Jeganathan, editors. |
| title_short | Optimizing intelligent systems for cross-industry application |
| title_sort | optimizing intelligent systems for cross industry application |
| topic | Artificial intelligence Industrial applications. Machine learning Industrial applications. Smart cities. |
| topic_facet | Artificial intelligence Industrial applications. Machine learning Industrial applications. Smart cities. Electronic books. |
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