In tactical communication networks, highly dynamic topologies and frequent data exchanges create complex spatiotemporal dependencies among link states. However, most existing intelligent routing ...

With the advancement of autonomous driving technology, efficient and safe lane-keeping has become one of the core issues in this field. Currently, Deep Reinforcement Learning (DRL) methods still face ...

The AI Prompt Optimization Platform is a professional tool designed to help users optimize prompts for AI models, enhancing AI conversation effectiveness and response accuracy. The platform integrates ...

Abstract: Blind channel estimation (BCE) plays a critical role in wireless systems, aiming to recover channel information without relying on pilot signals. To enable accurate joint recovery of ...

CHARLOTTE, N.C. (WDRB) – ACC Basketball Media Day used to be the land of the giants. Roy Williams posting up Rick Bozich in a corner to talk about a dadgum column from six months earlier (he was a ...

Meta announced on Tuesday a new Facebook algorithm update that will showcase more Reels videos tailored to users’ preferences. The update includes features that offer users greater control over the ...

More than 800 U.S. TikTok users shared their data with The Washington Post. We used it to find out why some people become power users, spending hours per day scrolling. Each circle in the chart ...

Advocates of the law called AB 325 "groundbreaking" and said it's a "critical step in addressing California's affordability crisis by cracking down on tech-enabled price manipulation." Yesterday, ...

Abstract: The deep reinforcement learning (DRL) based Volt-VAR optimization (VVO) methods have been widely studied for active distribution networks (ADNs). Most approaches neglect power injection ...

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