Artificial Intelligence and Its Applications (eBook, PDF)
First International Conference, ICAIA 2023, Pune, India, December 18-19, 2023, Proceedings, Part I
Redaktion: Gupta, Anish; Zalevsky, Zeev; Hinchey, Michael
57,95 €
57,95 €
inkl. MwSt.
Sofort per Download lieferbar
29 °P sammeln
57,95 €
Als Download kaufen
57,95 €
inkl. MwSt.
Sofort per Download lieferbar
29 °P sammeln
Jetzt verschenken
Alle Infos zum eBook verschenken
57,95 €
inkl. MwSt.
Sofort per Download lieferbar
Alle Infos zum eBook verschenken
29 °P sammeln
Artificial Intelligence and Its Applications (eBook, PDF)
First International Conference, ICAIA 2023, Pune, India, December 18-19, 2023, Proceedings, Part I
Redaktion: Gupta, Anish; Zalevsky, Zeev; Hinchey, Michael
- Format: PDF
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung

Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei
bücher.de, um das eBook-Abo tolino select nutzen zu können.
Hier können Sie sich einloggen
Hier können Sie sich einloggen
Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.

Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
This book constitutes the refereed proceedings of the First International Conference on Artificial Intelligence and its Applications, ICAIA 2023, held in Pune, India, during December 18-19, 2023.
The 37 full papers and 3 short papers presented in these two volumes were carefully reviewed and selected from 217 submissions. The conference focused on three primary domains: Use of AI in Health Care; Machine Vision and Image Processing; Automated and Digital Manufacturing Systems.
- Geräte: PC
- ohne Kopierschutz
- eBook Hilfe
- Größe: 19.81MB
Andere Kunden interessierten sich auch für
- Artificial Intelligence and Its Applications (eBook, PDF)61,95 €
- Artificial Intelligence Research (eBook, PDF)69,95 €
- Artificial Intelligence Applications and Innovations (eBook, PDF)73,95 €
- Intelligent Data Engineering and Automated Learning - IDEAL 2022 (eBook, PDF)73,95 €
- AI 2022: Advances in Artificial Intelligence (eBook, PDF)89,95 €
- Computation of Artificial Intelligence and Machine Learning (eBook, PDF)61,95 €
- Artificial Intelligence and Signal Processing (eBook, PDF)40,95 €
-
-
-
This book constitutes the refereed proceedings of the First International Conference on Artificial Intelligence and its Applications, ICAIA 2023, held in Pune, India, during December 18-19, 2023.
The 37 full papers and 3 short papers presented in these two volumes were carefully reviewed and selected from 217 submissions. The conference focused on three primary domains: Use of AI in Health Care; Machine Vision and Image Processing; Automated and Digital Manufacturing Systems.
The 37 full papers and 3 short papers presented in these two volumes were carefully reviewed and selected from 217 submissions. The conference focused on three primary domains: Use of AI in Health Care; Machine Vision and Image Processing; Automated and Digital Manufacturing Systems.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Springer Nature Switzerland
- Seitenzahl: 256
- Erscheinungstermin: 12. März 2025
- Englisch
- ISBN-13: 9783031843976
- Artikelnr.: 73629363
- Verlag: Springer Nature Switzerland
- Seitenzahl: 256
- Erscheinungstermin: 12. März 2025
- Englisch
- ISBN-13: 9783031843976
- Artikelnr.: 73629363
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
.- Artificial Intelligence in the Healthcare Sector: Possibilities and Problems.
.- A Study on revolution of healthcare industry with transformational Artificial Intelligence tool.
.- The Hybrid Cardiac Risk Assessment and Prediction Model Using Convolutional Neural Network.
.- Deep Learning Applications for Malaria Detection and Diagnosis: A Review.
.- Environmental Considerations in the Ethics of AI Adoption in Healthcare: Striving for Sustainable and Responsible Practices.
.- Harnessing the Power of Cognitive Computing: Assessing Point-of-Care Decision Support Tools in Oncology Practice.
.- Critical Analysis in Use of AI in Health Care Management.
.- Classification and Prediction of Spinal Tuberculosis Disease using Optimization of Convolution Neural Network using Spatial and Temporal Constraints.
.- Artificial Intelligence for Remote Healthcare in Underserved Areas: Enhancing Access and Quality of Healthcare Delivery.
.- Machine learning based Skin cancer detection and recognitions techniques in IoT environment.
.- Validation of a chronic kidney disease prediction system using machine learning techniques.
.- Real-Time Feedback Detection using Emotion Detection and Facial Recognition.
.- Revolutionizing Vision Tasks: Unlocking Potential through Patch-based Approaches.
.- Automated Knee Implant Identification from 2D Templates using Image Processing and Artificial Intelligence- An Experimental Approach.
.- Crop Analysis and Classification based on Phenotype using Ensemble Learning.
.- Classification & identification with health benefit assessment and nutrient profile of brewed tea utilizing computer vision with ML & DL and sensory approaches.
.- Enhancing Industrial Automation Flexibility through Neural Network-Empowered Machine Vision Applications.
.- A Study on revolution of healthcare industry with transformational Artificial Intelligence tool.
.- The Hybrid Cardiac Risk Assessment and Prediction Model Using Convolutional Neural Network.
.- Deep Learning Applications for Malaria Detection and Diagnosis: A Review.
.- Environmental Considerations in the Ethics of AI Adoption in Healthcare: Striving for Sustainable and Responsible Practices.
.- Harnessing the Power of Cognitive Computing: Assessing Point-of-Care Decision Support Tools in Oncology Practice.
.- Critical Analysis in Use of AI in Health Care Management.
.- Classification and Prediction of Spinal Tuberculosis Disease using Optimization of Convolution Neural Network using Spatial and Temporal Constraints.
.- Artificial Intelligence for Remote Healthcare in Underserved Areas: Enhancing Access and Quality of Healthcare Delivery.
.- Machine learning based Skin cancer detection and recognitions techniques in IoT environment.
.- Validation of a chronic kidney disease prediction system using machine learning techniques.
.- Real-Time Feedback Detection using Emotion Detection and Facial Recognition.
.- Revolutionizing Vision Tasks: Unlocking Potential through Patch-based Approaches.
.- Automated Knee Implant Identification from 2D Templates using Image Processing and Artificial Intelligence- An Experimental Approach.
.- Crop Analysis and Classification based on Phenotype using Ensemble Learning.
.- Classification & identification with health benefit assessment and nutrient profile of brewed tea utilizing computer vision with ML & DL and sensory approaches.
.- Enhancing Industrial Automation Flexibility through Neural Network-Empowered Machine Vision Applications.
.- Artificial Intelligence in the Healthcare Sector: Possibilities and Problems.
.- A Study on revolution of healthcare industry with transformational Artificial Intelligence tool.
.- The Hybrid Cardiac Risk Assessment and Prediction Model Using Convolutional Neural Network.
.- Deep Learning Applications for Malaria Detection and Diagnosis: A Review.
.- Environmental Considerations in the Ethics of AI Adoption in Healthcare: Striving for Sustainable and Responsible Practices.
.- Harnessing the Power of Cognitive Computing: Assessing Point-of-Care Decision Support Tools in Oncology Practice.
.- Critical Analysis in Use of AI in Health Care Management.
.- Classification and Prediction of Spinal Tuberculosis Disease using Optimization of Convolution Neural Network using Spatial and Temporal Constraints.
.- Artificial Intelligence for Remote Healthcare in Underserved Areas: Enhancing Access and Quality of Healthcare Delivery.
.- Machine learning based Skin cancer detection and recognitions techniques in IoT environment.
.- Validation of a chronic kidney disease prediction system using machine learning techniques.
.- Real-Time Feedback Detection using Emotion Detection and Facial Recognition.
.- Revolutionizing Vision Tasks: Unlocking Potential through Patch-based Approaches.
.- Automated Knee Implant Identification from 2D Templates using Image Processing and Artificial Intelligence- An Experimental Approach.
.- Crop Analysis and Classification based on Phenotype using Ensemble Learning.
.- Classification & identification with health benefit assessment and nutrient profile of brewed tea utilizing computer vision with ML & DL and sensory approaches.
.- Enhancing Industrial Automation Flexibility through Neural Network-Empowered Machine Vision Applications.
.- A Study on revolution of healthcare industry with transformational Artificial Intelligence tool.
.- The Hybrid Cardiac Risk Assessment and Prediction Model Using Convolutional Neural Network.
.- Deep Learning Applications for Malaria Detection and Diagnosis: A Review.
.- Environmental Considerations in the Ethics of AI Adoption in Healthcare: Striving for Sustainable and Responsible Practices.
.- Harnessing the Power of Cognitive Computing: Assessing Point-of-Care Decision Support Tools in Oncology Practice.
.- Critical Analysis in Use of AI in Health Care Management.
.- Classification and Prediction of Spinal Tuberculosis Disease using Optimization of Convolution Neural Network using Spatial and Temporal Constraints.
.- Artificial Intelligence for Remote Healthcare in Underserved Areas: Enhancing Access and Quality of Healthcare Delivery.
.- Machine learning based Skin cancer detection and recognitions techniques in IoT environment.
.- Validation of a chronic kidney disease prediction system using machine learning techniques.
.- Real-Time Feedback Detection using Emotion Detection and Facial Recognition.
.- Revolutionizing Vision Tasks: Unlocking Potential through Patch-based Approaches.
.- Automated Knee Implant Identification from 2D Templates using Image Processing and Artificial Intelligence- An Experimental Approach.
.- Crop Analysis and Classification based on Phenotype using Ensemble Learning.
.- Classification & identification with health benefit assessment and nutrient profile of brewed tea utilizing computer vision with ML & DL and sensory approaches.
.- Enhancing Industrial Automation Flexibility through Neural Network-Empowered Machine Vision Applications.