This paper presents designing and making a multi-output DC power supply (MOPS) feeding from the PV modules. The MOPS is based on a push-pull converter topology that provides four output channels of 12-V 1-A each and w...
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In the current wireless communication system, WiFi-based wireless sensing is considered as one of the most promising wireless sensing technologies with its extensive deployment and many applications. However, the exis...
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The research discusses a multimodal framework for analyzing and detecting fake news and understanding its impact on society. This framework employs diverse strategies, including linguistic analysis, social network mon...
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In the operational phase of satellites, a substantial amount of telemetry parameters related to physical and state changes are generated, complicating the correlation analysis of faults. This challenge is particularly...
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Intelligent cities rely heavily on smart automobiles, providing portable computing as well as communication capabilities via a wireless link. By Mobile spontaneous groups, computer fog acts as a middleman between auto...
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This paper presents an advanced approach to Facial Expression Classification (FEC) to evaluate user behavior in online shopping environments. In this application, users' videos are captured as they accomplish task...
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Relative overgeneralization (RO) occurs in cooperative multi-agent learning tasks when agents converge towards a suboptimal joint policy due to overfitting to suboptimal behaviors of other *** methods have been propos...
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Relative overgeneralization (RO) occurs in cooperative multi-agent learning tasks when agents converge towards a suboptimal joint policy due to overfitting to suboptimal behaviors of other *** methods have been proposed for addressing RO in multi-agent policy gradient (MAPG) methods although these methods produce state-of-the-art *** address this gap, we propose a general, yet simple, framework to enable optimistic updates in MAPG methods that alleviate the RO *** approach involves clipping the advantage to eliminate negative values, thereby facilitating optimistic updates in *** optimism prevents individual agents from quickly converging to a local ***, we provide a formal analysis to show that the proposed method retains optimality at a fixed *** extensive evaluations on a diverse set of tasks including the multi-agent MuJoCo and Overcooked benchmarks, our method outperforms strong baselines on 13 out of 19 tested tasks and matches the performance on the rest. Copyright 2024 by the author(s)
This paper develops a method for addressing the dynamic scene deblurring task by proposing a multi-Scale Feature Extraction and Fusion Module (MSFEFM). Despite image deblurring methods based on "coarse-to-fine&qu...
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In this paper, an error tolerance design technique is proposed and demonstrated by 28GHz microstrip directional coupler. By including the tolerance requirement of PCB fabrication errors as one of the objective functio...
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The metals recycling industry has undergone a revolution thanks to the quick development of computer vision and artificial intelligence (AI), which have made it possible to sort metal trash using efficient and automat...
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