Cognitive Computing Systems
Applications and Technological Advancements
Herausgeber: Jain, Vishal; Singh, Jaspreet; Tayal, Akash
Cognitive Computing Systems
Applications and Technological Advancements
Herausgeber: Jain, Vishal; Singh, Jaspreet; Tayal, Akash
- Gebundenes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
This new volume, Cognitive Computing Systems: Applications and Technological Advancements, explores the emerging area of artificial intelligence that encompasses machine self-learning, human-computer interaction, natural language processing, data mining and more.
Andere Kunden interessierten sich auch für
- Artificial Intelligence and Cognitive Computing90,99 €
- Principles and Applications of Socio-Cognitive and Affective Computing306,99 €
- Emerging Trends and Applications in Cognitive Computing219,99 €
- Emerging Trends and Applications in Cognitive Computing177,99 €
- Principles and Applications of Socio-Cognitive and Affective Computing240,99 €
- Cognitive Systems81,99 €
- Deep Learning and IoT in Healthcare Systems236,99 €
-
-
-
This new volume, Cognitive Computing Systems: Applications and Technological Advancements, explores the emerging area of artificial intelligence that encompasses machine self-learning, human-computer interaction, natural language processing, data mining and more.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Apple Academic Press
- Seitenzahl: 426
- Erscheinungstermin: 11. Mai 2021
- Englisch
- Abmessung: 240mm x 161mm x 27mm
- Gewicht: 801g
- ISBN-13: 9781771889315
- ISBN-10: 1771889314
- Artikelnr.: 60015220
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
- Verlag: Apple Academic Press
- Seitenzahl: 426
- Erscheinungstermin: 11. Mai 2021
- Englisch
- Abmessung: 240mm x 161mm x 27mm
- Gewicht: 801g
- ISBN-13: 9781771889315
- ISBN-10: 1771889314
- Artikelnr.: 60015220
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
Vishal Jain, PhD, is an Associate Professor with Bharati Vidyapeeth¿s Institute of Computer Applications and Management (BVICAM), New Delhi, India (affiliated with Guru Gobind Singh Indraprastha University, and accredited by the All India Council for Technical Education). Akash Tayal, PhD, is an Assistant Professor of the Department of Electronics and Communication at the Indira Gandhi Delhi Technical University for Women, Delhi, India. Jaspreet Singh, PhD, is an Associate Professor in the Department of Computer Science, School of Engineering, GD Goenka University, Gurgaon, India. Arun Solanki, PhD, is an Assistant Professor in the Department of Computer Science and Engineering, Gautam Buddha University, Greater Noida, India, where he has also held various additional roles over the years.
Preface
PART I: USING ASSISTIVE LEARNING TO SOLVE COMPUTATIONALLY INTENSE PROBLEMS
1. High-Frequency Stochastic Data Analysis Using a Machine Learning
Framework: A Comparative Study
Lokesh Kumar Shrivastav and Ravinder Kumar
2. Cognitive Machine Learning Framework to Evaluate Competency During the
Course Endorsement for Computer Science Postgraduates
Shivani A. Trivedi and Rebakah Jobdas
3. Cognitive Decision Making Through an Intelligent Database Agent for
Predictive Analysis
Shivani A Trivedi and Rebakah Jobdas
4. A Convergence of Mining and Machine Learning: The New Angle for
Educational Data Mining
Guleria, Pratiyush and Sood, Manu
5. Apna dermato: Human Skin Disease Finder Using Machine Learning
Tarun Methwani, Gautam Menghani, Nitin Tejuja, Hemdev Karan, and Raghani
Madhu
6. Artificial Intelligence Technique for Predicting Type 2 Diabetes
Ramyashree and P. S. Venugopala
PART II: DESIGNING IoT-BASED SMART SOLUTIONS FOR MONITORING AND SURVILLANCE
7. Smart Interfaces for Development of Comprehensive Health Monitoring
Systems
Dinesh Bhatia
8. Iot Based Smart Agriculture in India
Akanksha Gupta and Umang Singh
9. Cognitive Internet of Things
Shubham Singh Manhas, Mitali Aahar Rajput, and Deepak Kumar Sharma
PART III: STATISTICAL AND MATHEMATICAL MODEL-BASED SOLUTIONS
10. Analysis of Epidemiology: Integrating Computational Models
Deepak Kumar, Vinod Kumar, and Poojakhurana
PART IV: APPLYING NEURAL NETWORKS AND DEEP LEARNING MODELS FOR COGNITIVE
PROBLEMS
11. Recent Issues with Machine Vision Applications for Deep Network
Architectures
Naresh Kumar
12. Applications of Back Propagation and Conjugate Gradient Neural Networks
in Structural Engineering
S. Varadharajan, Kirthanashri S. Vasanthan, Shwetambra Verma, and Priyanka
Singh
13. Application of Neural Networks in Construction Management
S. Varadharajan, Kirthanashri S. Vasanthan, Shwetambra Verma, and Priyanka
Singh
PART V: SPEECH AND NLP APPLICATIONS IN COGNITION
14. Speech Recognition Fundamentals and Features
Gurpreet Kaur, Mohit Srivastava, and Amod Kumar
15. Natural Language Processing
V. Vishnuprabha, Lino Murali, and Daleesha M. Viswanathan
Index
PART I: USING ASSISTIVE LEARNING TO SOLVE COMPUTATIONALLY INTENSE PROBLEMS
1. High-Frequency Stochastic Data Analysis Using a Machine Learning
Framework: A Comparative Study
Lokesh Kumar Shrivastav and Ravinder Kumar
2. Cognitive Machine Learning Framework to Evaluate Competency During the
Course Endorsement for Computer Science Postgraduates
Shivani A. Trivedi and Rebakah Jobdas
3. Cognitive Decision Making Through an Intelligent Database Agent for
Predictive Analysis
Shivani A Trivedi and Rebakah Jobdas
4. A Convergence of Mining and Machine Learning: The New Angle for
Educational Data Mining
Guleria, Pratiyush and Sood, Manu
5. Apna dermato: Human Skin Disease Finder Using Machine Learning
Tarun Methwani, Gautam Menghani, Nitin Tejuja, Hemdev Karan, and Raghani
Madhu
6. Artificial Intelligence Technique for Predicting Type 2 Diabetes
Ramyashree and P. S. Venugopala
PART II: DESIGNING IoT-BASED SMART SOLUTIONS FOR MONITORING AND SURVILLANCE
7. Smart Interfaces for Development of Comprehensive Health Monitoring
Systems
Dinesh Bhatia
8. Iot Based Smart Agriculture in India
Akanksha Gupta and Umang Singh
9. Cognitive Internet of Things
Shubham Singh Manhas, Mitali Aahar Rajput, and Deepak Kumar Sharma
PART III: STATISTICAL AND MATHEMATICAL MODEL-BASED SOLUTIONS
10. Analysis of Epidemiology: Integrating Computational Models
Deepak Kumar, Vinod Kumar, and Poojakhurana
PART IV: APPLYING NEURAL NETWORKS AND DEEP LEARNING MODELS FOR COGNITIVE
PROBLEMS
11. Recent Issues with Machine Vision Applications for Deep Network
Architectures
Naresh Kumar
12. Applications of Back Propagation and Conjugate Gradient Neural Networks
in Structural Engineering
S. Varadharajan, Kirthanashri S. Vasanthan, Shwetambra Verma, and Priyanka
Singh
13. Application of Neural Networks in Construction Management
S. Varadharajan, Kirthanashri S. Vasanthan, Shwetambra Verma, and Priyanka
Singh
PART V: SPEECH AND NLP APPLICATIONS IN COGNITION
14. Speech Recognition Fundamentals and Features
Gurpreet Kaur, Mohit Srivastava, and Amod Kumar
15. Natural Language Processing
V. Vishnuprabha, Lino Murali, and Daleesha M. Viswanathan
Index
Preface
PART I: USING ASSISTIVE LEARNING TO SOLVE COMPUTATIONALLY INTENSE PROBLEMS
1. High-Frequency Stochastic Data Analysis Using a Machine Learning
Framework: A Comparative Study
Lokesh Kumar Shrivastav and Ravinder Kumar
2. Cognitive Machine Learning Framework to Evaluate Competency During the
Course Endorsement for Computer Science Postgraduates
Shivani A. Trivedi and Rebakah Jobdas
3. Cognitive Decision Making Through an Intelligent Database Agent for
Predictive Analysis
Shivani A Trivedi and Rebakah Jobdas
4. A Convergence of Mining and Machine Learning: The New Angle for
Educational Data Mining
Guleria, Pratiyush and Sood, Manu
5. Apna dermato: Human Skin Disease Finder Using Machine Learning
Tarun Methwani, Gautam Menghani, Nitin Tejuja, Hemdev Karan, and Raghani
Madhu
6. Artificial Intelligence Technique for Predicting Type 2 Diabetes
Ramyashree and P. S. Venugopala
PART II: DESIGNING IoT-BASED SMART SOLUTIONS FOR MONITORING AND SURVILLANCE
7. Smart Interfaces for Development of Comprehensive Health Monitoring
Systems
Dinesh Bhatia
8. Iot Based Smart Agriculture in India
Akanksha Gupta and Umang Singh
9. Cognitive Internet of Things
Shubham Singh Manhas, Mitali Aahar Rajput, and Deepak Kumar Sharma
PART III: STATISTICAL AND MATHEMATICAL MODEL-BASED SOLUTIONS
10. Analysis of Epidemiology: Integrating Computational Models
Deepak Kumar, Vinod Kumar, and Poojakhurana
PART IV: APPLYING NEURAL NETWORKS AND DEEP LEARNING MODELS FOR COGNITIVE
PROBLEMS
11. Recent Issues with Machine Vision Applications for Deep Network
Architectures
Naresh Kumar
12. Applications of Back Propagation and Conjugate Gradient Neural Networks
in Structural Engineering
S. Varadharajan, Kirthanashri S. Vasanthan, Shwetambra Verma, and Priyanka
Singh
13. Application of Neural Networks in Construction Management
S. Varadharajan, Kirthanashri S. Vasanthan, Shwetambra Verma, and Priyanka
Singh
PART V: SPEECH AND NLP APPLICATIONS IN COGNITION
14. Speech Recognition Fundamentals and Features
Gurpreet Kaur, Mohit Srivastava, and Amod Kumar
15. Natural Language Processing
V. Vishnuprabha, Lino Murali, and Daleesha M. Viswanathan
Index
PART I: USING ASSISTIVE LEARNING TO SOLVE COMPUTATIONALLY INTENSE PROBLEMS
1. High-Frequency Stochastic Data Analysis Using a Machine Learning
Framework: A Comparative Study
Lokesh Kumar Shrivastav and Ravinder Kumar
2. Cognitive Machine Learning Framework to Evaluate Competency During the
Course Endorsement for Computer Science Postgraduates
Shivani A. Trivedi and Rebakah Jobdas
3. Cognitive Decision Making Through an Intelligent Database Agent for
Predictive Analysis
Shivani A Trivedi and Rebakah Jobdas
4. A Convergence of Mining and Machine Learning: The New Angle for
Educational Data Mining
Guleria, Pratiyush and Sood, Manu
5. Apna dermato: Human Skin Disease Finder Using Machine Learning
Tarun Methwani, Gautam Menghani, Nitin Tejuja, Hemdev Karan, and Raghani
Madhu
6. Artificial Intelligence Technique for Predicting Type 2 Diabetes
Ramyashree and P. S. Venugopala
PART II: DESIGNING IoT-BASED SMART SOLUTIONS FOR MONITORING AND SURVILLANCE
7. Smart Interfaces for Development of Comprehensive Health Monitoring
Systems
Dinesh Bhatia
8. Iot Based Smart Agriculture in India
Akanksha Gupta and Umang Singh
9. Cognitive Internet of Things
Shubham Singh Manhas, Mitali Aahar Rajput, and Deepak Kumar Sharma
PART III: STATISTICAL AND MATHEMATICAL MODEL-BASED SOLUTIONS
10. Analysis of Epidemiology: Integrating Computational Models
Deepak Kumar, Vinod Kumar, and Poojakhurana
PART IV: APPLYING NEURAL NETWORKS AND DEEP LEARNING MODELS FOR COGNITIVE
PROBLEMS
11. Recent Issues with Machine Vision Applications for Deep Network
Architectures
Naresh Kumar
12. Applications of Back Propagation and Conjugate Gradient Neural Networks
in Structural Engineering
S. Varadharajan, Kirthanashri S. Vasanthan, Shwetambra Verma, and Priyanka
Singh
13. Application of Neural Networks in Construction Management
S. Varadharajan, Kirthanashri S. Vasanthan, Shwetambra Verma, and Priyanka
Singh
PART V: SPEECH AND NLP APPLICATIONS IN COGNITION
14. Speech Recognition Fundamentals and Features
Gurpreet Kaur, Mohit Srivastava, and Amod Kumar
15. Natural Language Processing
V. Vishnuprabha, Lino Murali, and Daleesha M. Viswanathan
Index