Melanin
发表于 2025-3-21 19:04:19
书目名称Machine Learning in Information and Communication Technology影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0620674<br><br> <br><br>书目名称Machine Learning in Information and Communication Technology影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0620674<br><br> <br><br>书目名称Machine Learning in Information and Communication Technology网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0620674<br><br> <br><br>书目名称Machine Learning in Information and Communication Technology网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0620674<br><br> <br><br>书目名称Machine Learning in Information and Communication Technology被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0620674<br><br> <br><br>书目名称Machine Learning in Information and Communication Technology被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0620674<br><br> <br><br>书目名称Machine Learning in Information and Communication Technology年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0620674<br><br> <br><br>书目名称Machine Learning in Information and Communication Technology年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0620674<br><br> <br><br>书目名称Machine Learning in Information and Communication Technology读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0620674<br><br> <br><br>书目名称Machine Learning in Information and Communication Technology读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0620674<br><br> <br><br>
consolidate
发表于 2025-3-21 23:51:10
Earth Mover’s Distance-Based Automated Disease Tagging of Indian ECGsG resembles representative healthy ECG, then it is tagged as healthy, and if it resembles representative unhealthy ECG, then it is tagged as unhealthy. Future directions for increasing the accuracy of this work are discussed. It’s integration with biomarkers in a multi-sensor data fusion-based automated CVD tagging criteria is also explored.
建筑师
发表于 2025-3-22 04:01:20
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材料等
发表于 2025-3-22 05:08:25
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sparse
发表于 2025-3-22 10:56:42
Cardial Disease Prediction in Multi-variant Systems Using MT-MrSBC Modeling and boosting concepts that enhance the system. The system trained is thus capable of predicting the disease of the patient. This helps in taking precautionary measures by the patient which are life saving.
WAX
发表于 2025-3-22 15:57:12
Blood Cancer Detection with Microscopic Images Using Machine Learningblem. New features for this type of analysis must also be studied and analyzed. Finding the most discriminatory features will provide the best accuracy. Determining whether adjacent leukocytes can be separated is critical for counting all leukocytes in an image.
BRIEF
发表于 2025-3-22 21:01:44
A Survey on Machine Learning-Based Approaches for Leukaemia Detectionperts and professionals who work with stained photographs of leukaemia patients will benefit from this method‘s discovery of a crucial component. Algorithms for detecting leukaemia have been studied in this research. The methodology and efficiency are compared, which can be used for different analyses by the researchers.
ALOFT
发表于 2025-3-23 00:18:37
A Bibliometric Analysis on the Relationship Between Emotional Intelligence, Self-Management and Healudy of bibliometric and offered a systematic assessment for health-related information seeking, self-management, and emotional intelligence publications published on the web. The aim of this study is to provide an understanding of the sources of information that can be used for research on this field of study.
Torrid
发表于 2025-3-23 02:34:42
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Conducive
发表于 2025-3-23 08:44:08
AUTCD-Net: An Automated Framework for Efficient Covid-19 Diagnosis on Computed Tomography Scanshe-art approaches. The overall evaluation combined with our in-depth model analysis, and critical inferences can be further extended for developing a computer-aided diagnostic (CAD) tool to assist the CT image reading process for detecting Covid-19 infected regions in the near future.