Next Generation Healthcare Systems Using Soft Computing Techniques
Herausgeber: Janghel, Rekh Ram; Cengiz, Korhan; Raja, Rohit
Next Generation Healthcare Systems Using Soft Computing Techniques
Herausgeber: Janghel, Rekh Ram; Cengiz, Korhan; Raja, Rohit
- Gebundenes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
Written as a guide for assessing the roles that these technqiues play, the book highlights implementation strategies, problem solving solutions, and paves the way for future research endeavors in smart and next generation healthcare systems.
Andere Kunden interessierten sich auch für
- IoT in Healthcare Systems153,99 €
- Howard EisnerOperations Research and Systems Engineering65,99 €
- Multi-Criteria Decision Models in Software Reliability165,99 €
- Differential Equations in Engineering198,99 €
- Cyber-Physical Systems for Industrial Transformation175,99 €
- Ram Bilas PachoriTime-Frequency Analysis Techniques and their Applications131,99 €
- Smart Innovation of Web of Things114,99 €
-
-
-
Written as a guide for assessing the roles that these technqiues play, the book highlights implementation strategies, problem solving solutions, and paves the way for future research endeavors in smart and next generation healthcare systems.
Produktdetails
- Produktdetails
- Artificial Intelligence in Smart Healthcare Systems
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 210
- Erscheinungstermin: 21. September 2022
- Englisch
- Abmessung: 234mm x 156mm x 14mm
- Gewicht: 456g
- ISBN-13: 9781032107974
- ISBN-10: 1032107979
- Artikelnr.: 64103364
- Artificial Intelligence in Smart Healthcare Systems
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 210
- Erscheinungstermin: 21. September 2022
- Englisch
- Abmessung: 234mm x 156mm x 14mm
- Gewicht: 456g
- ISBN-13: 9781032107974
- ISBN-10: 1032107979
- Artikelnr.: 64103364
Rekh Ram Janghel, Hiral Raja
1. Computational Intelligence for Healthcare. 2. Analysis of Recurrent
Neural Network and Convolution Neural Network Techniques in Blood Cell
Classification. Chapter 3. Evaluating the Effectiveness of the Convolution
Neural Network in Detecting Brain Tumors. Chapter 4. Implementation of
Machine Learning in Color Perception and Psychology: A Review. Chapter 5.
Early Recognition of Dynamic Sleeping Patterns Associated with Rapid
Eyeball Movement Sleep Behavior Disorder of Apnea Pateants Using Neural
Network Techniques. Chapter 6. Smart Attendance cum Health Check-up Machine
for Students/Villagers/Company Employees. Chapter 7. Oral Histopathological
Photomicrograph Classification Using Deep Learning. Chapter 8. Prediction
of Stage of Alzheimer's Disease DenseNet Deep Learning Model. Chapter 9. An
Insight of Deep Learning Applications in the Healthcare Industry. Chapter
10. Expand Patient Care with AWS Cloud for Remote Medical Monitoring.
Chapter 11. Privacy and Security Solution in Wireless Sensor Network for
IoT in Healthcare System. Chapter 12. An Epileptic Seizure Detection and
Classification Based on Machine Learning Techniques. Chapter 13. Analysis
of Coronary Artery Disease Using Various Machine Learning Techniques.
Neural Network and Convolution Neural Network Techniques in Blood Cell
Classification. Chapter 3. Evaluating the Effectiveness of the Convolution
Neural Network in Detecting Brain Tumors. Chapter 4. Implementation of
Machine Learning in Color Perception and Psychology: A Review. Chapter 5.
Early Recognition of Dynamic Sleeping Patterns Associated with Rapid
Eyeball Movement Sleep Behavior Disorder of Apnea Pateants Using Neural
Network Techniques. Chapter 6. Smart Attendance cum Health Check-up Machine
for Students/Villagers/Company Employees. Chapter 7. Oral Histopathological
Photomicrograph Classification Using Deep Learning. Chapter 8. Prediction
of Stage of Alzheimer's Disease DenseNet Deep Learning Model. Chapter 9. An
Insight of Deep Learning Applications in the Healthcare Industry. Chapter
10. Expand Patient Care with AWS Cloud for Remote Medical Monitoring.
Chapter 11. Privacy and Security Solution in Wireless Sensor Network for
IoT in Healthcare System. Chapter 12. An Epileptic Seizure Detection and
Classification Based on Machine Learning Techniques. Chapter 13. Analysis
of Coronary Artery Disease Using Various Machine Learning Techniques.
1. Computational Intelligence for Healthcare. 2. Analysis of Recurrent
Neural Network and Convolution Neural Network Techniques in Blood Cell
Classification. Chapter 3. Evaluating the Effectiveness of the Convolution
Neural Network in Detecting Brain Tumors. Chapter 4. Implementation of
Machine Learning in Color Perception and Psychology: A Review. Chapter 5.
Early Recognition of Dynamic Sleeping Patterns Associated with Rapid
Eyeball Movement Sleep Behavior Disorder of Apnea Pateants Using Neural
Network Techniques. Chapter 6. Smart Attendance cum Health Check-up Machine
for Students/Villagers/Company Employees. Chapter 7. Oral Histopathological
Photomicrograph Classification Using Deep Learning. Chapter 8. Prediction
of Stage of Alzheimer's Disease DenseNet Deep Learning Model. Chapter 9. An
Insight of Deep Learning Applications in the Healthcare Industry. Chapter
10. Expand Patient Care with AWS Cloud for Remote Medical Monitoring.
Chapter 11. Privacy and Security Solution in Wireless Sensor Network for
IoT in Healthcare System. Chapter 12. An Epileptic Seizure Detection and
Classification Based on Machine Learning Techniques. Chapter 13. Analysis
of Coronary Artery Disease Using Various Machine Learning Techniques.
Neural Network and Convolution Neural Network Techniques in Blood Cell
Classification. Chapter 3. Evaluating the Effectiveness of the Convolution
Neural Network in Detecting Brain Tumors. Chapter 4. Implementation of
Machine Learning in Color Perception and Psychology: A Review. Chapter 5.
Early Recognition of Dynamic Sleeping Patterns Associated with Rapid
Eyeball Movement Sleep Behavior Disorder of Apnea Pateants Using Neural
Network Techniques. Chapter 6. Smart Attendance cum Health Check-up Machine
for Students/Villagers/Company Employees. Chapter 7. Oral Histopathological
Photomicrograph Classification Using Deep Learning. Chapter 8. Prediction
of Stage of Alzheimer's Disease DenseNet Deep Learning Model. Chapter 9. An
Insight of Deep Learning Applications in the Healthcare Industry. Chapter
10. Expand Patient Care with AWS Cloud for Remote Medical Monitoring.
Chapter 11. Privacy and Security Solution in Wireless Sensor Network for
IoT in Healthcare System. Chapter 12. An Epileptic Seizure Detection and
Classification Based on Machine Learning Techniques. Chapter 13. Analysis
of Coronary Artery Disease Using Various Machine Learning Techniques.