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Advances in artificial and human int...

Chinnusamy, Karthikeyan, (1973-)

Advances in artificial and human intelligence in the modern era

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in artificial and human intelligence in the modern eraS. Suman Rajest, Bhopendra Singh, Ahmed J. Obaid, R. Regin, Karthikeyan Chinnusamy, editors.
其他作者:	Chinnusamy, Karthikeyan,
出版者:	Hershey, Pennsylvania :IGI Global,2023.
面頁冊數:	1 online resource (xxiv, 409 p.)
標題:	Artificial intelligence.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1301-5
ISBN:	9798369313022$q(ebook)

Advances in artificial and human intelligence in the modern era
Advances in artificial and human intelligence in the modern era[electronic resource] /S. Suman Rajest, Bhopendra Singh, Ahmed J. Obaid, R. Regin, Karthikeyan Chinnusamy, editors. - Hershey, Pennsylvania :IGI Global,2023. - 1 online resource (xxiv, 409 p.)

Includes bibliographical references and index.

Preface -- Chapter 1. Artificial Intelligence in Computer Science -- Chapter 2. Artificial Intelligence in Computer Science: An Overview of Current Trends and Future Directions -- Chapter 3. Automatic Video Object Detection Using Particle Swarm Optimisation in Fog Computing -- Chapter 4. Comparative Analysis Implementation of Queuing Songs in Players Using Audio Clustering Algorithm -- Chapter 5. Data Acquisition Using NI LabVIEW for Test Automation -- Chapter 6. Dynamic Intelligence-Driven Engineering Flooding Attack Prediction Using Ensemble Learning -- Chapter 7. Interactive Virtual Consultation and Disease Diagnosis Using Machine Learning Approach -- Chapter 8. Optimizing Leaf Diseases of Apple Scaband Apple Black Rot in the Context of "Useful" Information Measures and Distance Measurements -- Chapter 9. Real-Time Recording and Analysis of Facial Expressions of Video Viewers -- Chapter 10. Software Defect Prediction Using Machine Learning Techniques -- Chapter 11. Vision-Based Data-Driven Modeling Vehicle Detection in Videos Using Convolutional Neural Network -- Chapter 12. A Review on Pragmatic Prerequisite Utilization of IoT in SCML for Industry 4.0 -- Chapter 13. A Study of Detecting Individual to Mental Health of Fear of Falling (FOF) in Indian Cities -- Chapter 14. A Systematic View of Sentiment Analysis on Different Techniques, Challenges, and Future Directions in COVID-19 -- Chapter 15. An Analysisof Directing Protocols for Subaquatic Wireless Sensor Systems -- Chapter 16. A Study on Anti-Inflammatory Analgesic Effect of Focus Religiosa Compared to Standard Drugs in Wister Rats -- Chapter 17. Comparing Bishop Score and TransvaginalUltrasonographic Cervical Factors to Predict Labor Induction -- Chapter 18. Macrolide's Anti-Inflammatory Effects on Acute and Subacute Inflammation (Azithromycin, Clarithromycin, and Roxithromycin) -- Chapter 19. Impact of Digitalization onYouth and Its Relevance Regarding Demonetization -- Chapter 20. Neonatal Iron Status and Body Composition as Influenced by Mother's Anaemia -- Chapter 21. Risk Factors for Non-Communicable Diseases in Maharashtra Urban Slums -- Chapter 22.Serum Procalcitonin, Ischemia Modified Albumin Biomarkers in Tertiary Hospital Sepsis Patients -- Compilation of References -- About the Contributors -- Index.

"In the realm of psychological and brain sciences, there is a growing urgency to refine individual performance using personalized interventions that account for unique cognitive and biological attributes. Yet, the quest for such tailored approaches has proven challenging, as conventional methods often fall short. The limited integration of domain expertise and human judgment curtails the potential of artificial intelligence (AI) in effectively optimizing human performance, particularly in areas like customized training, health monitoring, and cognitive enhancement. Bridging the gap between AI capabilities and the specific requirements of individuals becomes crucial in meeting this rising demand. Advances in Artificial and Human Intelligence in the Modern Era present a transformative solution to tackle the prevailing challenges at the intersection of AI and human performance enhancement. This book delves deeply into the latest empirical research, literature reviews, and methodological advancements to introduce precision AI techniques for personalized interventions. By examining how the amalgamation of domain expertise and human insights can enhance AI performance, the book establishes a comprehensive framework for modeling individual distinctions and devising effective, tailored AI approaches. Tailored for academic scholars and researchers in psychological and brain sciences, computer science, and related fields, this book provides a comprehensive exploration of pioneering advancements in the convergence of artificial and human intelligence. Its diverse chapters encompass a wide array of topics, including the identification of mental health concerns, integration of human intelligence into AI tools, enhancement of reliability, and exploration of data standards. As it fuses expertise from these two disciplines, the book paves the way for a new era of personalized interventions with the potential to revolutionize human cognitive enhancement, training, and overall well-being. "--

ISBN: 9798369313022$q(ebook)Subjects--Topical Terms:

194058
Artificial intelligence.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: Q335.7 / .A383 2023e

Dewey Class. No.: 006.3

Advances in artificial and human intelligence in the modern era
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245 0 0 $a Advances in artificial and human intelligence in the modern era $h [electronic resource] / $c S. Suman Rajest, Bhopendra Singh, Ahmed J. Obaid, R. Regin, Karthikeyan Chinnusamy, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2023.
300 $a 1 online resource (xxiv, 409 p.)
504 $a Includes bibliographical references and index.
505 0 $a Preface -- Chapter 1. Artificial Intelligence in Computer Science -- Chapter 2. Artificial Intelligence in Computer Science: An Overview of Current Trends and Future Directions -- Chapter 3. Automatic Video Object Detection Using Particle Swarm Optimisation in Fog Computing -- Chapter 4. Comparative Analysis Implementation of Queuing Songs in Players Using Audio Clustering Algorithm -- Chapter 5. Data Acquisition Using NI LabVIEW for Test Automation -- Chapter 6. Dynamic Intelligence-Driven Engineering Flooding Attack Prediction Using Ensemble Learning -- Chapter 7. Interactive Virtual Consultation and Disease Diagnosis Using Machine Learning Approach -- Chapter 8. Optimizing Leaf Diseases of Apple Scaband Apple Black Rot in the Context of "Useful" Information Measures and Distance Measurements -- Chapter 9. Real-Time Recording and Analysis of Facial Expressions of Video Viewers -- Chapter 10. Software Defect Prediction Using Machine Learning Techniques -- Chapter 11. Vision-Based Data-Driven Modeling Vehicle Detection in Videos Using Convolutional Neural Network -- Chapter 12. A Review on Pragmatic Prerequisite Utilization of IoT in SCML for Industry 4.0 -- Chapter 13. A Study of Detecting Individual to Mental Health of Fear of Falling (FOF) in Indian Cities -- Chapter 14. A Systematic View of Sentiment Analysis on Different Techniques, Challenges, and Future Directions in COVID-19 -- Chapter 15. An Analysisof Directing Protocols for Subaquatic Wireless Sensor Systems -- Chapter 16. A Study on Anti-Inflammatory Analgesic Effect of Focus Religiosa Compared to Standard Drugs in Wister Rats -- Chapter 17. Comparing Bishop Score and TransvaginalUltrasonographic Cervical Factors to Predict Labor Induction -- Chapter 18. Macrolide's Anti-Inflammatory Effects on Acute and Subacute Inflammation (Azithromycin, Clarithromycin, and Roxithromycin) -- Chapter 19. Impact of Digitalization onYouth and Its Relevance Regarding Demonetization -- Chapter 20. Neonatal Iron Status and Body Composition as Influenced by Mother's Anaemia -- Chapter 21. Risk Factors for Non-Communicable Diseases in Maharashtra Urban Slums -- Chapter 22.Serum Procalcitonin, Ischemia Modified Albumin Biomarkers in Tertiary Hospital Sepsis Patients -- Compilation of References -- About the Contributors -- Index.
520 3 $a "In the realm of psychological and brain sciences, there is a growing urgency to refine individual performance using personalized interventions that account for unique cognitive and biological attributes. Yet, the quest for such tailored approaches has proven challenging, as conventional methods often fall short. The limited integration of domain expertise and human judgment curtails the potential of artificial intelligence (AI) in effectively optimizing human performance, particularly in areas like customized training, health monitoring, and cognitive enhancement. Bridging the gap between AI capabilities and the specific requirements of individuals becomes crucial in meeting this rising demand. Advances in Artificial and Human Intelligence in the Modern Era present a transformative solution to tackle the prevailing challenges at the intersection of AI and human performance enhancement. This book delves deeply into the latest empirical research, literature reviews, and methodological advancements to introduce precision AI techniques for personalized interventions. By examining how the amalgamation of domain expertise and human insights can enhance AI performance, the book establishes a comprehensive framework for modeling individual distinctions and devising effective, tailored AI approaches. Tailored for academic scholars and researchers in psychological and brain sciences, computer science, and related fields, this book provides a comprehensive exploration of pioneering advancements in the convergence of artificial and human intelligence. Its diverse chapters encompass a wide array of topics, including the identification of mental health concerns, integration of human intelligence into AI tools, enhancement of reliability, and exploration of data standards. As it fuses expertise from these two disciplines, the book paves the way for a new era of personalized interventions with the potential to revolutionize human cognitive enhancement, training, and overall well-being. "-- $c Provided by publisher.
650 0 $a Artificial intelligence. $3 194058
650 0 $a Knowledge, Theory of. $3 178850
650 0 $a Intellect. $3 179547
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Chinnusamy, Karthikeyan, $d 1973- $3 974258
700 1 $a Regin, R., $d 1985- $3 974259
700 1 $a Obaid, Ahmed J. $3 891280
700 1 $a Singh, Bhopendra, $d 1974- $3 974260
700 1 $a Rajest, S. Suman, $d 1988- $3 974261
710 2 $a IGI Global. $3 529832
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1301-5