Computational Health Informatics for Biomedical Applications
Herausgeber: Chaudhary, Aryan; Islam, Sardar M. N.
Computational Health Informatics for Biomedical Applications
Herausgeber: Chaudhary, Aryan; Islam, Sardar M. N.
- Gebundenes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
Explores computational tactics as applied to the development of biomedical applications, using artificial intelligence, machine learning, signal analysis, computer-aided design, robotics and automation, biomedical imaging, telemedicine, and other technologies.
Andere Kunden interessierten sich auch für
- Biomedical Signal Processing172,99 €
- Applied Informatics for Industry 4.0120,99 €
- Biomedical Signals, Imaging, and Informatics371,99 €
- Heterogenous Computational Intelligence in Internet of Things100,99 €
- Fei HuAI, Machine Learning and Deep Learning91,99 €
- Transformation in Healthcare with Emerging Technologies136,99 €
- Max KuhnFeature Engineering and Selection93,99 €
-
-
-
Explores computational tactics as applied to the development of biomedical applications, using artificial intelligence, machine learning, signal analysis, computer-aided design, robotics and automation, biomedical imaging, telemedicine, and other technologies.
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 Inc.
- Seitenzahl: 334
- Erscheinungstermin: 30. Juni 2023
- Englisch
- Abmessung: 157mm x 237mm x 23mm
- Gewicht: 714g
- ISBN-13: 9781774912539
- ISBN-10: 1774912538
- Artikelnr.: 67253734
- Verlag: Apple Academic Press Inc.
- Seitenzahl: 334
- Erscheinungstermin: 30. Juni 2023
- Englisch
- Abmessung: 157mm x 237mm x 23mm
- Gewicht: 714g
- ISBN-13: 9781774912539
- ISBN-10: 1774912538
- Artikelnr.: 67253734
Aryan Chaudhary is the Research Head and Lead Member of the research project launched by Nijji Healthcare Pvt Ltd. He focuses on implementing technologies such as artificial intelligence, deep learning, IoT, cognitive technology, and blockchain to improve the healthcare sector. He has published academic papers on public health and digital health in international journals and has participated as a keynote speaker at international and national conferences. He is editor of many books on biomedical science and chief editor of a CRC book series. He also serves as a guest editor of many special journal issues. He was named Most Inspiring Young Leader in Healthtech Space 2022 by Business Connect and received a Global Education and Corporate Leadership award for best project leader. Sardar M. N. Islam (Naz) is currently a Professor at the Institute for Sustainable Industries & Liveable Cities and Lead of the Decision Sciences and Modelling Program at Victoria University, Australia. He is also a Distinguished Visiting Professor of Artificial Intelligence at Sriwijaya University (UnSri), Indonesia, and was a Distinguished Visiting Professor (2019¿2021) at American University of Ras Al Khaimah, United Arab of Emirates. His academic work has gained international acclaim, resulting in many honors and awards, visiting and adjunct professorial appointments in different countries, appointments in editorial roles of journals, and invitations as keynote speaker at international conferences. He has published over 30 scholarly authored academic books in different disciplines. He has also published about 250 articles, including some in the top leading international journals in his specialized research areas.
1. IoT-Based Healthcare Systems and Their Security Concerns 2. Distributed
Bragg Reflector Biosensor for Medical Applications 3. Photonic MEMS Sensor
for Biomedical Applications 4. Chaotic and Nonlinear Features as EEG
Biomarkers for the Diagnosis of Neuropathologies 5. Application of
Artificial Intelligence and Deep Learning in Healthcare 6. Heart Disease
Prediction Desktop Application Using Supervised Learning 7. Coronavirus
Outbreak Prediction Analysis and Coronavirus Detection Through X-Ray Using
Machine Learning 8. Numerical Analysis of Bioheat Transfer in Thermal
Medicine 9. Evolution of Artificial Intelligence and Deep Learning in
Healthcare 10. Medication Extender Drone Using CoppeliaSim 11. Big Data and
Visualization-Oriented Latency-Aware Smart Health Architecture 12. Signal
Processing in Biomedical Applications in Present and Future Development 13.
Emerging Trends in Healthcare and Drug Development 14. Future Directions in
Healthcare Research
Bragg Reflector Biosensor for Medical Applications 3. Photonic MEMS Sensor
for Biomedical Applications 4. Chaotic and Nonlinear Features as EEG
Biomarkers for the Diagnosis of Neuropathologies 5. Application of
Artificial Intelligence and Deep Learning in Healthcare 6. Heart Disease
Prediction Desktop Application Using Supervised Learning 7. Coronavirus
Outbreak Prediction Analysis and Coronavirus Detection Through X-Ray Using
Machine Learning 8. Numerical Analysis of Bioheat Transfer in Thermal
Medicine 9. Evolution of Artificial Intelligence and Deep Learning in
Healthcare 10. Medication Extender Drone Using CoppeliaSim 11. Big Data and
Visualization-Oriented Latency-Aware Smart Health Architecture 12. Signal
Processing in Biomedical Applications in Present and Future Development 13.
Emerging Trends in Healthcare and Drug Development 14. Future Directions in
Healthcare Research
1. IoT-Based Healthcare Systems and Their Security Concerns 2. Distributed
Bragg Reflector Biosensor for Medical Applications 3. Photonic MEMS Sensor
for Biomedical Applications 4. Chaotic and Nonlinear Features as EEG
Biomarkers for the Diagnosis of Neuropathologies 5. Application of
Artificial Intelligence and Deep Learning in Healthcare 6. Heart Disease
Prediction Desktop Application Using Supervised Learning 7. Coronavirus
Outbreak Prediction Analysis and Coronavirus Detection Through X-Ray Using
Machine Learning 8. Numerical Analysis of Bioheat Transfer in Thermal
Medicine 9. Evolution of Artificial Intelligence and Deep Learning in
Healthcare 10. Medication Extender Drone Using CoppeliaSim 11. Big Data and
Visualization-Oriented Latency-Aware Smart Health Architecture 12. Signal
Processing in Biomedical Applications in Present and Future Development 13.
Emerging Trends in Healthcare and Drug Development 14. Future Directions in
Healthcare Research
Bragg Reflector Biosensor for Medical Applications 3. Photonic MEMS Sensor
for Biomedical Applications 4. Chaotic and Nonlinear Features as EEG
Biomarkers for the Diagnosis of Neuropathologies 5. Application of
Artificial Intelligence and Deep Learning in Healthcare 6. Heart Disease
Prediction Desktop Application Using Supervised Learning 7. Coronavirus
Outbreak Prediction Analysis and Coronavirus Detection Through X-Ray Using
Machine Learning 8. Numerical Analysis of Bioheat Transfer in Thermal
Medicine 9. Evolution of Artificial Intelligence and Deep Learning in
Healthcare 10. Medication Extender Drone Using CoppeliaSim 11. Big Data and
Visualization-Oriented Latency-Aware Smart Health Architecture 12. Signal
Processing in Biomedical Applications in Present and Future Development 13.
Emerging Trends in Healthcare and Drug Development 14. Future Directions in
Healthcare Research