长矛
发表于 2025-3-28 15:49:24
A Simplified 3D Ultrasound Freehand Imaging Framework Using 1D Linear Probe and Low-Cost Mechanicalltrasound volume reconstruction and demonstrate its efficacy with an . tube phantom study and an . bone experiment. The comparison between a sensorless freehand and the proposed mechanical track based acquisition is available online (.).
cliche
发表于 2025-3-28 21:48:44
,WSD: Wild Selfie Dataset for Face Recognition in Selfie Images,n, and alignment. We compare the proposed dataset with existing benchmark datasets in terms of different characteristics. The complexity of WSD dataset is also observed experimentally as compared to the existing face datasets. The dataset can be obtained from ..
同来核对
发表于 2025-3-29 00:50:58
PoseWatch: Advancing Real Time Human Pose Tracking and Juxtaposition with Deep Learning,correctness of the pose by comparing the extracted key points and give feedback to students if any corrections need to be made. The proposed model is trained with 40+ yoga and exercise poses, and evaluated the model’s performance with the mAP, and the model achieved an accuracy of 99.04%. The result
谁在削木头
发表于 2025-3-29 07:04:45
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AVOID
发表于 2025-3-29 10:35:03
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Finasteride
发表于 2025-3-29 13:28:27
Enhanced On-Device Video Summarization Using Audio and Visual Features,nts and one has to leverage the resources wisely. In this paper, we present a novel approach which demonstrates a different method to make use of audio features along with visual cues in video summarization. The proposed approach uses different models for inferencing from audio and visual features a
要素
发表于 2025-3-29 19:12:59
,Fractal-Based Approach to Secure Key Generation from Fingerprint and Iris Biometrics,egions of interest (ROIs) in fingerprint and iris images. The feature vectors from two modalities are then fused to form a single feature vector. A quantization mechanism is applied to generate a stable and unique key. The efficacy of the proposed method was evaluated through a number of experiments
bacteria
发表于 2025-3-29 21:53:35
,Histogram Matching Based Data-Augmentation and Its Impact on CNN Model for Covid-19 and Pneumonia DCovid-Lite model respectively, after employing the proposed augmented dataset. Furthermore, we have implemented a popular CNN model i.e., VGG-16 and by the proposed data-augmentation we have achieved the best results of 95% accuracy, 96% F1 score, 96% precision and 96% recall.
periodontitis
发表于 2025-3-30 03:36:59
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描述
发表于 2025-3-30 07:57:32
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