驼峰
发表于 2025-3-21 16:21:35
书目名称Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0388152<br><br> <br><br>书目名称Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0388152<br><br> <br><br>书目名称Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0388152<br><br> <br><br>书目名称Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0388152<br><br> <br><br>书目名称Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0388152<br><br> <br><br>书目名称Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0388152<br><br> <br><br>书目名称Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0388152<br><br> <br><br>书目名称Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0388152<br><br> <br><br>书目名称Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0388152<br><br> <br><br>书目名称Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0388152<br><br> <br><br>
Radiculopathy
发表于 2025-3-21 21:06:56
On the Analysis of Saturated Pressure to Detect Fatiguenature, under different levels of fatigue. Experimental results demonstrate a significant rise in the proportion of saturated samples following strenuous exercise in tasks performed without resting wrist. The analysis of saturation highlights significant differences when comparing the results to the baseline situation and strenuous fatigue.
ARC
发表于 2025-3-22 02:44:32
Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition978-3-031-45461-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
photopsia
发表于 2025-3-22 08:04:44
A Short Review on Graphonometric Evaluation Tools in Childrenetric evaluation as a means to detect possible difficulties or disorders in learning to write. The article concludes by highlighting the need to agree on an evaluation methodology and to combine databases.
柔美流畅
发表于 2025-3-22 10:54:55
Assessment of Developmental Dysgraphia Utilising a Display Tablet(HPSQ–C). Using machine learning models based on a gradient-boosting algorithm, we were able to support the DD diagnosis with up to 83.6% accuracy. The HPSQ–C total score was estimated with a minimum error equal to 10.34%. Children with DD spent significantly higher time in-air, they had a higher nu
Kidney-Failure
发表于 2025-3-22 14:31:48
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Kidney-Failure
发表于 2025-3-22 20:12:20
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Etymology
发表于 2025-3-23 00:16:06
Feature Evaluation in Handwriting Analysis for Alzheimer’s Disease Using Bayesian Networks among the most effective features for predicting impairment symptoms through handwriting analysis and deepen our understanding of the underlying cognitive functions affected. The results showed that the Bayesian Network chooses features conditionally dependent on the determination of the disease,
Feedback
发表于 2025-3-23 03:18:26
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努力赶上
发表于 2025-3-23 08:48:18
Estimating the Optimal Training Set Size of Keyword Spotting for Historical Handwritten Document Traa benchmark for performance evaluation show that a training set made of 5 to 8 pages is enough for achieving the largest reduction, independently of the actual pages included in the training set and the corresponding keyword lists. They also show that the actual time reduction depends much more on t