Titlebook: Intelligent Systems Design and Applications; Machine Learning Sol Ajith Abraham,Anu Bajaj,Thomas Hanne Conference proceedings 2024 The Edit

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书目名称Intelligent Systems Design and Applications影响因子(影响力)




书目名称Intelligent Systems Design and Applications影响因子(影响力)学科排名




书目名称Intelligent Systems Design and Applications网络公开度




书目名称Intelligent Systems Design and Applications网络公开度学科排名




书目名称Intelligent Systems Design and Applications被引频次




书目名称Intelligent Systems Design and Applications被引频次学科排名




书目名称Intelligent Systems Design and Applications年度引用




书目名称Intelligent Systems Design and Applications年度引用学科排名




书目名称Intelligent Systems Design and Applications读者反馈




书目名称Intelligent Systems Design and Applications读者反馈学科排名

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,Mobile Application for Diabetic Foot Ulcer Detection,table. The results reveal that the model achieved a Mean Average Precision of 89.90%, demonstrating its effectiveness in the detection. Furthermore, healthcare professionals praised the usability and intuitiveness of the system, suggesting small layout changes and additional features to improve its usefulness.

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Conference proceedings 2024intelligent systems and their applications in industry. ISDA 2023 had contributions by authors from 64 countries. This book offers a valuable reference guide for all industrial specialists, scientists, academicians, researchers, students, and practitioners in the field of artificial intelligence and industrial applications..

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Hybrid Approach for Medical Decision-Making: Integrating ResNet-Darknet19 Based Transfer Learning wemonstrate that our hybrid approach outperforms traditional methods, achieving higher classification accuracy and robustness. This method shows tons of promise for increasing the effectiveness and reliability of COVID-19 diagnosis in clinical settings.

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Analysis of Deepfake Attacks and Detection Techniques in Smart City Applications,ifications in the context of smart cities. Additionally, we evaluated various detection algorithms and models, highlighting their strengths and weaknesses. The precision, recall, and F1-score exceeding 95% demonstrate outstanding results, improving the achievements of other works by a substantial margin.

压倒

A Bimodal Autism Spectrum Disorder Detection Using fMRI Images,nce, we use two atlases of fMRI data: CC200 and AAL. An experimental study was carried out on the famous ABIDE (Autism Brain Imaging Data Exchange) dataset and the reported accuracy of 75.26% proved the efficiency of the proposed method.

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