disparage
发表于 2025-3-25 03:19:34
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大约冬季
发表于 2025-3-25 07:38:07
978-3-030-57883-1Springer Nature Switzerland AG 2020
横条
发表于 2025-3-25 13:32:39
Method of Multi-feature Fusion Based on Attention Mechanism in Malicious Software DetectionCurrently, methods based on static detection have certain limitations to the malicious samples of system call confusion. The existing dynamic detection methods mainly extract features from the local system Application Programming Interface (API) sequence dynamically invoked, and combine them with Ra
botany
发表于 2025-3-25 17:48:17
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有角
发表于 2025-3-25 20:23:59
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冲击力
发表于 2025-3-26 02:25:43
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地牢
发表于 2025-3-26 04:41:45
Tuple Measure Model Based on CFI-Apriori Algorithmriori) is proposed to solve this problem, A tuple measurement model based on the algorithm is created. Compared with traditional Apriori algorithm, CFI-Apriori algorithm stores infrequent candidate item sets and creates two tuple measurement models based on probability weight and information entropy
Mortal
发表于 2025-3-26 10:38:53
Deep Learning Video Action Recognition Method Based on Key Frame Algorithmthod for key frame extraction. The KGAF-means method is based on the clustering principle and combines the K-means algorithm with the artificial fish swarm algorithm to realize the key frame sequence extraction. Based on the extracted key frame sequence, the RGB image and the optical flow image are
intertwine
发表于 2025-3-26 14:56:40
Optimization and Deployment of Vehicle Trajectory Prediction Scheme Based on Real-Time ANPR Trafficprovide evident support for path prediction. Taking advantage of the real-time ANPR data, this study adopts and modifies a trajectory prediction model based on order-k Markov model, calculating a supplementary probability matrix to compensate for the deficiency of the prediction model by exploring
做方舟
发表于 2025-3-26 20:37:37
Ear Recognition Based on Gabor-SIFTvariant for scale changes and rotations, and are flexible for illumination variations and affine transformations. The paper chooses SIFT to extract key points of ear images. Then the features of key points are extracted with the local multi-scale analysis feature of the Gabor wavelet. In this way, e