Titlebook: International Conference on Innovative Computing and Communications; Proceedings of ICICC Aboul Ella Hassanien,Oscar Castillo,Ajay Jaiswal

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書目名稱International Conference on Innovative Computing and Communications影響因子(影響力)




書目名稱International Conference on Innovative Computing and Communications影響因子(影響力)學科排名




書目名稱International Conference on Innovative Computing and Communications網絡公開度




書目名稱International Conference on Innovative Computing and Communications網絡公開度學科排名




書目名稱International Conference on Innovative Computing and Communications被引頻次




書目名稱International Conference on Innovative Computing and Communications被引頻次學科排名




書目名稱International Conference on Innovative Computing and Communications年度引用




書目名稱International Conference on Innovative Computing and Communications年度引用學科排名




書目名稱International Conference on Innovative Computing and Communications讀者反饋




書目名稱International Conference on Innovative Computing and Communications讀者反饋學科排名

擔心

Lecture Notes in Networks and Systemshttp://image.papertrans.cn/i/image/471391.jpg

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異常

International Conference on Innovative Computing and Communications978-981-99-3315-0Series ISSN 2367-3370 Series E-ISSN 2367-3389

Allege

https://doi.org/10.1007/978-981-99-3315-0Innovative Communication Networks and Security; Innovative Computing; Internet of Things (IoT); Machine

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Externalize

Brain-Waves

A Machine Vision-Based Approach for Tuberculosis Identification in Chest X-Rays Images of Patients,need for an accurate diagnosis, however. Even while there is generally available X-ray equipment, particularly in underdeveloped nations, there is sometimes a lack of radiological expertise, which makes it difficult to accurately evaluate the images. The ability to diagnose and, ultimately, cure the

行乞

,Prediction of Patients’ Incurable Diseases Utilizing Deep Learning Approach,eveloping in fields such as bioscience and health protection. In the field of medicine, prediction is an important but sometimes overlooked component. In this paper, the authors construct deep learning and ML approaches in the estimation of chronic illnesses in patients. Conduct several tests using

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