Boldfaced
发表于 2025-3-21 17:38:15
书目名称Smart Healthcare and Machine Learning影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0868817<br><br> <br><br>书目名称Smart Healthcare and Machine Learning影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0868817<br><br> <br><br>书目名称Smart Healthcare and Machine Learning网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0868817<br><br> <br><br>书目名称Smart Healthcare and Machine Learning网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0868817<br><br> <br><br>书目名称Smart Healthcare and Machine Learning被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0868817<br><br> <br><br>书目名称Smart Healthcare and Machine Learning被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0868817<br><br> <br><br>书目名称Smart Healthcare and Machine Learning年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0868817<br><br> <br><br>书目名称Smart Healthcare and Machine Learning年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0868817<br><br> <br><br>书目名称Smart Healthcare and Machine Learning读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0868817<br><br> <br><br>书目名称Smart Healthcare and Machine Learning读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0868817<br><br> <br><br>
nettle
发表于 2025-3-21 20:27:58
AB-BiL: A Deep Learning Model to Analyze Depression Detection in Imbalanced Data,n people depressed worldwide. The objective of depression detection is to maximize the availability and accuracy of intervention. In existing works, depression detection has been done based on various machine and deep learning models. Previous depression detection utilizing social media-related data
ACRID
发表于 2025-3-22 01:45:21
,Synchronization Analysis of Complex-Valued Artificial Neural Networks with Distributed Delays in Meddition, artificial neural networks (ANNs) are a powerful tool for machine learning because they can be trained to recognize patterns in data, and they can be used to make predictions about new data. In comparison to conventional real-valued artificial neural networks (RVANNs), complex-valued artifi
杂色
发表于 2025-3-22 08:36:52
Deep Q-Learning-Based Neural Network for Secure Data Transmission in Internet of Things (IoT) Healtians, patients, clinical and nursing staff, and medical equipment. Both possibilities and challenges for information sharing and gathering arise from the network’s scale and diversity. Ensuring patients’ safety and privacy requires safeguarding the medical equipment they use, with a focus on patient
保守党
发表于 2025-3-22 10:27:49
Integrating Artificial Intelligence for Enhanced Tuberculosis Diagnosis and Management: A Comprehencough, sneeze, or spit, the infection spreads via the air. It is possible to prevent and treat tuberculosis, and it is believed that the TB bacteria has infected about 25% of the world’s population. In the end, 5–10% of TB-infected individuals will have symptoms and develop TB illness. It cannot be
讨人喜欢
发表于 2025-3-22 15:07:51
An Effective Cost-Sensitive Learning Approach for Detection of COVID-19 with Lung Diseases,networks (CNNs) to improve COVID-19 identification performance and address the class imbalance problem. The proposed method uses cost-sensitive learning with a CNN model specifically designed to address the problem. Chest X-ray images of individuals with COVID-19 and lung diseases were used in this
天空
发表于 2025-3-22 20:20:17
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Calibrate
发表于 2025-3-23 00:11:27
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BUOY
发表于 2025-3-23 01:54:51
Reliable and Efficient Healthcare System Using Artificial Intelligence,ehension of what‘s more excellent typically than now not termed as prudent attitude, and with the introduction of items that present off that conduct. It’s the branch of engineering. AI is transforming into a famed region in design because it has prolonged human existence in countless fields. AI has
大都市
发表于 2025-3-23 06:14:05
Advancing Precision Medicine: An Exploration of Hybrid Deep Learning Approaches for Automated Humanumour localization in MRI images. Traditional methods struggle with the complexity and variability of brain structures, necessitating a more adaptive approach. The proposed framework combines Convolutional Neural Networks, Recurrent Neural Networks, and attention mechanisms to improve the model’s ab