债务 发表于 2025-3-28 17:34:11
Actor-Critic for Multi-agent System with Variable Quantity of Agentsems with fixed quantity of agents. In reality, the quantity of agents in the system is often changed over time, and the majority of multi-agent reinforcement learning (MARL) models can’t work robustly on these systems. In this paper, we propose a model extended from actor-critic framework to process巩固 发表于 2025-3-28 20:46:25
Video Captioning Using Hierarchical LSTM and Text-Based Sliding Windowthods only use the word-level cross entropy loss to train the model, while ignoring the relationship between visual content and sentence semantics. In addition, during the decoding stage, the resulting models are used to predict one word at a time, and by feeding the generated word back as input at净礼 发表于 2025-3-29 01:10:11
http://reply.papertrans.cn/48/4752/475119/475119_43.pngirritation 发表于 2025-3-29 06:29:05
Development of 3D Exhibition System for IoT-Oriented Simulation Platformte data output mechanism based on the original simulation platform, which provides a convenient environment for development and debugging, observation of system process and performance evaluation for the NB-IoT simulation platform. The exhibition system includes multiple modules, such as a data proc使闭塞 发表于 2025-3-29 09:58:11
An Extreme Learning Approach for Electronic Music Classificationmusic data are extracted from cepstrum coefficient.Secondly, the kernel principal component analysis is adopted to reduce the dimension of features.Thirdly, in order to select appropriate parameters for an extreme learning machine, the genetic algorithm is used. Finally, experiments are carried outlandmark 发表于 2025-3-29 14:05:51
http://reply.papertrans.cn/48/4752/475119/475119_46.png我没有命令 发表于 2025-3-29 19:32:33
http://reply.papertrans.cn/48/4752/475119/475119_47.png人工制品 发表于 2025-3-29 23:46:27
http://reply.papertrans.cn/48/4752/475119/475119_48.png持续 发表于 2025-3-30 00:05:20
http://reply.papertrans.cn/48/4752/475119/475119_49.pngartless 发表于 2025-3-30 04:20:04
An Integrated Architecture for IoT Malware Analysis and Detectionre constantly emerging. However, there is lacking of an IoT malware analysis architecture to extract and detect the malware behaviors. This paper addresses the problem and propose an IoT behavior analysis and detection architecture. We integrate the static and dynamic behavior analysis and network t