estrange
发表于 2025-3-21 17:35:52
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BRIDE
发表于 2025-3-21 20:47:18
Clickbait Detection Using Swarm Intelligenceckbaits. In comparison with algorithms used in the past, this SI based technique provided a better accuracy and a human interpretable set of rules to classify clickbaits. A maximum accuracy of 96.93% with a set of 20 classification rules was obtained using the algorithm.
insipid
发表于 2025-3-22 03:39:49
Xujie Si,Xin Zhang,Radu Grigore,Mayur Naik animals and local bird species from microphones deployed on the site. This experiment provides insight on the usage of deep learning technology in a real deployment. The originality of this work concerns the system’s ability to construct its own database from local audio sampling under the supervision of human visitors and bird experts.
嫌恶
发表于 2025-3-22 07:20:19
Computing in Algebraic Extensions,frequency, and wavelet). These are modeled using state of the art generative and discriminative classification schemes. We performed extensive experiments on a publicly available dataset, where we report encouraging recognition rates.
negotiable
发表于 2025-3-22 09:23:29
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多山
发表于 2025-3-22 14:32:09
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acquisition
发表于 2025-3-22 17:47:24
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FIS
发表于 2025-3-22 21:12:37
G. E. Collins,M. Mignotte,F. Winklertation using fuzzy based clustering technique along with node scheduling. The normal nodes are used for routing purpose along with super nodes. The proposed protocol yields the optimum energy consumption and improve the performance and network lifetime for monitoring the nuclear plant surrounding.
幻影
发表于 2025-3-23 02:07:56
Deep Learning Locally Trained Wildlife Sensing in Real Acoustic Wetland Environment animals and local bird species from microphones deployed on the site. This experiment provides insight on the usage of deep learning technology in a real deployment. The originality of this work concerns the system’s ability to construct its own database from local audio sampling under the supervision of human visitors and bird experts.
Ballerina
发表于 2025-3-23 07:34:28
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