SHOCK 发表于 2025-3-28 18:15:35
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Gazi Salah Uddin,Ou Tang,Maziar Sahamkhadam,Farhad Taghizadeh-Hesary,Muhammad Yahya,Pontus Cerin,Jak paper, a new approach IESRC (Improved extend sparse representation based classification) is developed by splitting the dictionary into an original dictionary and auxiliary dictionary. The proposed model was first evaluated in 30 baseline data sets in the University of California, Riverside time ser严厉批评 发表于 2025-3-29 10:01:10
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Sakib Amin,Rabindra Nepal,Han Phoumin paper, a new approach IESRC (Improved extend sparse representation based classification) is developed by splitting the dictionary into an original dictionary and auxiliary dictionary. The proposed model was first evaluated in 30 baseline data sets in the University of California, Riverside time serMedicare 发表于 2025-3-29 19:23:15
Mamata Parhi demonstrate the ability of the proposed technique to generate an adaptive resource allocation in response to the variation on application data size and network bandwidth. Results reveal that the proposed technique improves the execution time for data-intensive applications by an average of 78% andSpangle 发表于 2025-3-29 21:23:09
Xunpeng Shi,Lequan Zhang,Keying Wang,Wen Chen,Han Phoumine broadcast efficiency and meanwhile retain the security. BlockP2P first operates the geographical proximity sensing clustering, which leverages K-Means algorithm for gathering proximity peer nodes into clusters. It follows by the hierarchical topological structure that ensures strong connectivity a服从 发表于 2025-3-30 02:02:15
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Norasikin Ahmad Ludin,Han Phoumin,Fairuz Suzana Mohd Chachuli,Norul Hisham Hamide broadcast efficiency and meanwhile retain the security. BlockP2P first operates the geographical proximity sensing clustering, which leverages K-Means algorithm for gathering proximity peer nodes into clusters. It follows by the hierarchical topological structure that ensures strong connectivity a