Cross-industry AI applications:
"The rise of Artificial Intelligence (AI) amidst the backdrop of a world that is changing at lightning speed presents a whole new set of challenges. One of our biggest hurdles is more transparency in AI solutions. It's a complex issue, but one that we need to address if we want to ensure t...
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| Other Authors: | , , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2024.
|
| Subjects: | |
| Online Access: | DE-863 |
| Summary: | "The rise of Artificial Intelligence (AI) amidst the backdrop of a world that is changing at lightning speed presents a whole new set of challenges. One of our biggest hurdles is more transparency in AI solutions. It's a complex issue, but one that we need to address if we want to ensure that the benefits of AI are accessible to everyone. Across diverse sectors such as healthcare, surveillance, and human-computer interaction, the inability to understand and evaluate AI's decision-making processes hinders progress and raises concerns about accountability. Cross-Industry AI Applications is a groundbreaking solution to illuminate the mysteries of AI-driven human behavior analysis.This pioneering book addresses the necessity of transparency and explainability in AI systems, particularly in analyzing human behavior. Compiling insights from leading experts and academics offers a comprehensive exploration of state-of-the-art methodologies, benchmarks, and systems for understanding and predicting human behavior using AI. Each chapter delves into novel approaches and real-world applications, from facial expressions to gesture recognition, providing invaluable knowledge for scholars and professionals alike."-- |
| Physical Description: | 27 PDFs (389 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9798369359532 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
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| 245 | 0 | 0 | |a Cross-industry AI applications |c P. Paramasivan, S. Suman Rajest, Karthikeyan Chinnusamy, R. Regin, Ferdin Joe John Joseph, editors. |
| 246 | 3 | |a Cross-industry artificial intelligence applications | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2024. | |
| 300 | |a 27 PDFs (389 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. AI-driven intelligent models for business excellence, organizational human resources policies and practices, and employee attrition -- Chapter 2. An aid of business intelligence in retailing services and experience using artificial intelligence -- Chapter 3. Application of artificial intelligence to enhance business intelligence for increasing customer involvement in FMCG industry -- Chapter 4. A framework for cheque processing using blockchain technology and smart contracts -- Chapter 5. A review on the adoption of AI-powered supply chain and logistics management for effective organizational performance in SMEs in India -- Chapter 6. A review on shipment tracking technologies on game changers in maritime logistics -- Chapter 7. Deep learning-based vehicle detection and classification in traffic management for intelligent transportation systems -- Chapter 8. Efficient feature extraction method for traffic surveillance in intelligent transportation systems -- Chapter 9. Optimizing interpretability and dataset bias in modern AI systems -- Chapter 10. Technological frontier on hybrid deep learning paradigm for global air quality intelligence -- Chapter 11. Effectivity of prediction enhancement of land cover classification for remote sensing images using automatic feature learning model -- Chapter 12. An artificial intelligence technique in industry 4.0 for predicting the settlement of geocell-reinforced soil foundations -- Chapter 13. Enhanced K-means clustering algorithms in pattern detection of human freedom index dataset -- Chapter 14. Evaluation and intelligent modelling for predicting the amplitude of footing resting on geocell-based weak sand bed under vibratory load -- Chapter 15. Advancing healthcare outcomes through machine learning innovations -- Chapter 16. Implementing innovative strategies for advancing healthcare outcomes by leveraging machine learning technologies and data-driven approaches -- Chapter 17. Unlocking and maximising the multifaceted potential of machine learning techniques in enhancing healthcare delivery -- Chapter 18. Creating a sustainable large-scale content-based biomedical article classifier using BERT -- Chapter 19. A Survey on exploring the relationship between music and mental health using machine learning analysis -- Chapter 20. Efficient e-learning multi-keyword search-based application for students' better education. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "The rise of Artificial Intelligence (AI) amidst the backdrop of a world that is changing at lightning speed presents a whole new set of challenges. One of our biggest hurdles is more transparency in AI solutions. It's a complex issue, but one that we need to address if we want to ensure that the benefits of AI are accessible to everyone. Across diverse sectors such as healthcare, surveillance, and human-computer interaction, the inability to understand and evaluate AI's decision-making processes hinders progress and raises concerns about accountability. Cross-Industry AI Applications is a groundbreaking solution to illuminate the mysteries of AI-driven human behavior analysis.This pioneering book addresses the necessity of transparency and explainability in AI systems, particularly in analyzing human behavior. Compiling insights from leading experts and academics offers a comprehensive exploration of state-of-the-art methodologies, benchmarks, and systems for understanding and predicting human behavior using AI. Each chapter delves into novel approaches and real-world applications, from facial expressions to gesture recognition, providing invaluable knowledge for scholars and professionals alike."-- |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 06/19/2024). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 653 | |a Accountability. | ||
| 653 | |a AI and Surveillance. | ||
| 653 | |a Artificial Intelligence Solutions. | ||
| 653 | |a Decision-Making Processes. | ||
| 653 | |a Diverse Sectors. | ||
| 653 | |a Ethical Practice. | ||
| 653 | |a Explainable AI. | ||
| 653 | |a Facial Expressions. | ||
| 653 | |a Gesture Recognition. | ||
| 653 | |a Healthcare Applications. | ||
| 653 | |a Human Behavior Analysis. | ||
| 653 | |a Human-Computer Interaction. | ||
| 653 | |a Transparency in Technology. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Chinnusamy, Karthikeyan |d 1973- |e editor. | |
| 700 | 1 | |a Joseph, Ferdin Joe John |e editor. | |
| 700 | 1 | |a Paramasivan, P. |e editor. | |
| 700 | 1 | |a Rajest, S. Suman |d 1988- |e editor. | |
| 700 | 1 | |a Regin, R |d 1985- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369359518 |
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| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
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| author2 | Chinnusamy, Karthikeyan 1973- Joseph, Ferdin Joe John Paramasivan, P. Rajest, S. Suman 1988- Regin, R 1985- |
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| author_facet | Chinnusamy, Karthikeyan 1973- Joseph, Ferdin Joe John Paramasivan, P. Rajest, S. Suman 1988- Regin, R 1985- |
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| contents | Chapter 1. AI-driven intelligent models for business excellence, organizational human resources policies and practices, and employee attrition -- Chapter 2. An aid of business intelligence in retailing services and experience using artificial intelligence -- Chapter 3. Application of artificial intelligence to enhance business intelligence for increasing customer involvement in FMCG industry -- Chapter 4. A framework for cheque processing using blockchain technology and smart contracts -- Chapter 5. A review on the adoption of AI-powered supply chain and logistics management for effective organizational performance in SMEs in India -- Chapter 6. A review on shipment tracking technologies on game changers in maritime logistics -- Chapter 7. Deep learning-based vehicle detection and classification in traffic management for intelligent transportation systems -- Chapter 8. Efficient feature extraction method for traffic surveillance in intelligent transportation systems -- Chapter 9. Optimizing interpretability and dataset bias in modern AI systems -- Chapter 10. Technological frontier on hybrid deep learning paradigm for global air quality intelligence -- Chapter 11. Effectivity of prediction enhancement of land cover classification for remote sensing images using automatic feature learning model -- Chapter 12. An artificial intelligence technique in industry 4.0 for predicting the settlement of geocell-reinforced soil foundations -- Chapter 13. Enhanced K-means clustering algorithms in pattern detection of human freedom index dataset -- Chapter 14. Evaluation and intelligent modelling for predicting the amplitude of footing resting on geocell-based weak sand bed under vibratory load -- Chapter 15. Advancing healthcare outcomes through machine learning innovations -- Chapter 16. Implementing innovative strategies for advancing healthcare outcomes by leveraging machine learning technologies and data-driven approaches -- Chapter 17. Unlocking and maximising the multifaceted potential of machine learning techniques in enhancing healthcare delivery -- Chapter 18. Creating a sustainable large-scale content-based biomedical article classifier using BERT -- Chapter 19. A Survey on exploring the relationship between music and mental health using machine learning analysis -- Chapter 20. Efficient e-learning multi-keyword search-based application for students' better education. |
| ctrlnum | (CaBNVSL)slc00006149 (OCoLC)1441739397 |
| dewey-full | 006.3 |
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| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| 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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| indexdate | 2025-03-07T12:04:12Z |
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| isbn | 9798369359532 |
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| oclc_num | 1441739397 |
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| spelling | Cross-industry AI applications P. Paramasivan, S. Suman Rajest, Karthikeyan Chinnusamy, R. Regin, Ferdin Joe John Joseph, editors. Cross-industry artificial intelligence applications Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2024. 27 PDFs (389 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. AI-driven intelligent models for business excellence, organizational human resources policies and practices, and employee attrition -- Chapter 2. An aid of business intelligence in retailing services and experience using artificial intelligence -- Chapter 3. Application of artificial intelligence to enhance business intelligence for increasing customer involvement in FMCG industry -- Chapter 4. A framework for cheque processing using blockchain technology and smart contracts -- Chapter 5. A review on the adoption of AI-powered supply chain and logistics management for effective organizational performance in SMEs in India -- Chapter 6. A review on shipment tracking technologies on game changers in maritime logistics -- Chapter 7. Deep learning-based vehicle detection and classification in traffic management for intelligent transportation systems -- Chapter 8. Efficient feature extraction method for traffic surveillance in intelligent transportation systems -- Chapter 9. Optimizing interpretability and dataset bias in modern AI systems -- Chapter 10. Technological frontier on hybrid deep learning paradigm for global air quality intelligence -- Chapter 11. Effectivity of prediction enhancement of land cover classification for remote sensing images using automatic feature learning model -- Chapter 12. An artificial intelligence technique in industry 4.0 for predicting the settlement of geocell-reinforced soil foundations -- Chapter 13. Enhanced K-means clustering algorithms in pattern detection of human freedom index dataset -- Chapter 14. Evaluation and intelligent modelling for predicting the amplitude of footing resting on geocell-based weak sand bed under vibratory load -- Chapter 15. Advancing healthcare outcomes through machine learning innovations -- Chapter 16. Implementing innovative strategies for advancing healthcare outcomes by leveraging machine learning technologies and data-driven approaches -- Chapter 17. Unlocking and maximising the multifaceted potential of machine learning techniques in enhancing healthcare delivery -- Chapter 18. Creating a sustainable large-scale content-based biomedical article classifier using BERT -- Chapter 19. A Survey on exploring the relationship between music and mental health using machine learning analysis -- Chapter 20. Efficient e-learning multi-keyword search-based application for students' better education. Restricted to subscribers or individual electronic text purchasers. "The rise of Artificial Intelligence (AI) amidst the backdrop of a world that is changing at lightning speed presents a whole new set of challenges. One of our biggest hurdles is more transparency in AI solutions. It's a complex issue, but one that we need to address if we want to ensure that the benefits of AI are accessible to everyone. Across diverse sectors such as healthcare, surveillance, and human-computer interaction, the inability to understand and evaluate AI's decision-making processes hinders progress and raises concerns about accountability. Cross-Industry AI Applications is a groundbreaking solution to illuminate the mysteries of AI-driven human behavior analysis.This pioneering book addresses the necessity of transparency and explainability in AI systems, particularly in analyzing human behavior. Compiling insights from leading experts and academics offers a comprehensive exploration of state-of-the-art methodologies, benchmarks, and systems for understanding and predicting human behavior using AI. Each chapter delves into novel approaches and real-world applications, from facial expressions to gesture recognition, providing invaluable knowledge for scholars and professionals alike."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 06/19/2024). Artificial intelligence. Accountability. AI and Surveillance. Artificial Intelligence Solutions. Decision-Making Processes. Diverse Sectors. Ethical Practice. Explainable AI. Facial Expressions. Gesture Recognition. Healthcare Applications. Human Behavior Analysis. Human-Computer Interaction. Transparency in Technology. Electronic books. Chinnusamy, Karthikeyan 1973- editor. Joseph, Ferdin Joe John editor. Paramasivan, P. editor. Rajest, S. Suman 1988- editor. Regin, R 1985- editor. IGI Global, publisher. Print version: 9798369359518 |
| spellingShingle | Cross-industry AI applications Chapter 1. AI-driven intelligent models for business excellence, organizational human resources policies and practices, and employee attrition -- Chapter 2. An aid of business intelligence in retailing services and experience using artificial intelligence -- Chapter 3. Application of artificial intelligence to enhance business intelligence for increasing customer involvement in FMCG industry -- Chapter 4. A framework for cheque processing using blockchain technology and smart contracts -- Chapter 5. A review on the adoption of AI-powered supply chain and logistics management for effective organizational performance in SMEs in India -- Chapter 6. A review on shipment tracking technologies on game changers in maritime logistics -- Chapter 7. Deep learning-based vehicle detection and classification in traffic management for intelligent transportation systems -- Chapter 8. Efficient feature extraction method for traffic surveillance in intelligent transportation systems -- Chapter 9. Optimizing interpretability and dataset bias in modern AI systems -- Chapter 10. Technological frontier on hybrid deep learning paradigm for global air quality intelligence -- Chapter 11. Effectivity of prediction enhancement of land cover classification for remote sensing images using automatic feature learning model -- Chapter 12. An artificial intelligence technique in industry 4.0 for predicting the settlement of geocell-reinforced soil foundations -- Chapter 13. Enhanced K-means clustering algorithms in pattern detection of human freedom index dataset -- Chapter 14. Evaluation and intelligent modelling for predicting the amplitude of footing resting on geocell-based weak sand bed under vibratory load -- Chapter 15. Advancing healthcare outcomes through machine learning innovations -- Chapter 16. Implementing innovative strategies for advancing healthcare outcomes by leveraging machine learning technologies and data-driven approaches -- Chapter 17. Unlocking and maximising the multifaceted potential of machine learning techniques in enhancing healthcare delivery -- Chapter 18. Creating a sustainable large-scale content-based biomedical article classifier using BERT -- Chapter 19. A Survey on exploring the relationship between music and mental health using machine learning analysis -- Chapter 20. Efficient e-learning multi-keyword search-based application for students' better education. Artificial intelligence. |
| title | Cross-industry AI applications |
| title_alt | Cross-industry artificial intelligence applications |
| title_auth | Cross-industry AI applications |
| title_exact_search | Cross-industry AI applications |
| title_full | Cross-industry AI applications P. Paramasivan, S. Suman Rajest, Karthikeyan Chinnusamy, R. Regin, Ferdin Joe John Joseph, editors. |
| title_fullStr | Cross-industry AI applications P. Paramasivan, S. Suman Rajest, Karthikeyan Chinnusamy, R. Regin, Ferdin Joe John Joseph, editors. |
| title_full_unstemmed | Cross-industry AI applications P. Paramasivan, S. Suman Rajest, Karthikeyan Chinnusamy, R. Regin, Ferdin Joe John Joseph, editors. |
| title_short | Cross-industry AI applications |
| title_sort | cross industry ai applications |
| topic | Artificial intelligence. |
| topic_facet | Artificial intelligence. Electronic books. |
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