外星人 发表于 2025-3-25 03:41:14
http://reply.papertrans.cn/59/5852/585163/585163_21.png大门在汇总 发表于 2025-3-25 11:27:43
http://reply.papertrans.cn/59/5852/585163/585163_22.png露天历史剧 发表于 2025-3-25 14:01:47
P. M. Bisch,A. Sanfeldeural Networks (CNNs) for its scanning ability in both order (left to right, right to left) and generating context. This paper interpreted a spam detection model based on self mechanism using BERT on kaggle dataset. Our proposed model outperforms than the machine learning algorithms and deep learnin无表情 发表于 2025-3-25 18:51:32
P. Joos,Y. Verburghmation from traditional out-of-home advertising to digital out-of-home (“DOOH”) advertising or any “digital media endorsing audio and video messages related to products or services outside of the home”, illustrates how the advertising industry is leveraging new technologies to continue the pursuit obizarre 发表于 2025-3-25 23:39:32
P. Atten,J. C. Lacroixully provide the optimal state-feedback controller for the tractor active suspension system. The tractor active suspension system controlled by the state-feedback controller designed by the LFICuS algorithm yields very satisfactory response with smaller oscillation and faster regulating time than th使残废 发表于 2025-3-26 01:14:02
P. Bergé,M. Duboisearch, economics and management, smart cities and rural planning, meta-heuristics and big data analytics, cyber security and blockchains, IoTs and Industry 4.0, mathematical modelling and simulation, health care and medicine..978-3-030-93246-6978-3-030-93247-3Series ISSN 2367-3370 Series E-ISSN 2367-3389charisma 发表于 2025-3-26 06:41:37
J. C. Legros,J. K. Plattenully provide the optimal state-feedback controller for the tractor active suspension system. The tractor active suspension system controlled by the state-feedback controller designed by the LFICuS algorithm yields very satisfactory response with smaller oscillation and faster regulating time than thFeedback 发表于 2025-3-26 10:56:23
Y. Pomeauainly focused on detecting the DoS attacks in the traffic coming to a node in Mobile ad Hoc Networks. This research work is also focused on identifying the attacked node in the adhoc network. The classification algorithm SVM (Support Vector Machine) is used along with optimization technique PSO (ParGlucose 发表于 2025-3-26 15:11:23
http://reply.papertrans.cn/59/5852/585163/585163_29.pngBILIO 发表于 2025-3-26 19:02:31
http://reply.papertrans.cn/59/5852/585163/585163_30.png