SLAG
发表于 2025-3-26 22:24:36
,Detection and Diagnosis of Atopic Dermatitis Using Deep Learning Network,learning network to analyze the layers and get the suitable layer for diseased and non-diseased images. These images are further feature extracted through HOG feature extraction and SVM classifier to classify disease and non-disease. The proposed method proves to be effective in precision and recall
离开就切除
发表于 2025-3-27 01:11:14
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frugal
发表于 2025-3-27 07:14:49
,Detection and Diagnosis of Atopic Dermatitis Using Deep Learning Network,ough HOG feature extraction and SVM classifier to classify disease and non-disease. The proposed method proves to be effective in precision and recall, that can be considered as an adjunct to traditional diagnostic methods, and the results obtained are equivalent to that of a diagnostician while limiting the heterogeneity between the predictors.
Graves’-disease
发表于 2025-3-27 12:06:08
Conference proceedings 2023utcomes, results and cutting edge works which are of importance to professionals and academics/researchers. It covers topics such as Computational Intelligence in Language and Speech Processing; Software development methods; Wireless Communications and Signal Processing; IoT and Sensor Embedded Systems ; etc..
construct
发表于 2025-3-27 14:36:51
Conference proceedings 2023peer reviewed high impact research manuscripts, that highlight the work based on Intelligent System and Networks. The book presents ongoing research outcomes, results and cutting edge works which are of importance to professionals and academics/researchers. It covers topics such as Computational Int
豪华
发表于 2025-3-27 21:42:44
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捐助
发表于 2025-3-27 23:19:25
,Design of Measuring and Warning System Based on Sound Intensity in High-Traffic Areas,intensity is too great (the threshold), the waiting time for the red light will increase. It will directly affect the perception of people and thus reduce the noise. The results show that the system has recovered noise with an accuracy of up to 96%.
哎呦
发表于 2025-3-28 03:12:54
Proposing Lung Abnormality Detection Model Using AI,stions on abnormal areas and creating an AI application to recognize images that can be detected abnormal areas or not. The results show that although the accuracy of the proposed solution only achieves about 30% due to the small number of samples, it promises to be highly feasible when applied in practice.
防御
发表于 2025-3-28 09:56:58
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SCORE
发表于 2025-3-28 11:42:36
Optimized PID Controller for Two-Wheeled Self-balancing Robot Based on Genetic Algorithm, is easy to implement in practice. Based on the simulation result, it can be seen clearly that the TWSB robot control system’s output values closely match the target values and that the error is roughly zero, which demonstrates the proposed controller’s effectiveness and performance.