Geo-Doppler Hybrid Mobile Ranging Method for Underwater Acoustic Sensor Networks
Jun Liu, Jiangzhou Chen, Jianyu Zhang, 邹卓雅 et autres
cn, it (code pays fourni par la source)
0 citations
邹卓雅
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6Publications signalées
0Citations signalées
1Affiliations récentes
Les institutions déclarées
Les domaines associés
Generative Adversarial Networks and Image SynthesisImage Enhancement TechniquesAdvanced Image Processing TechniquesUnderwater Vehicles and Communication SystemsNeural Networks and Applications
Les publications récentes
Real-Time Anchor Node Selection For Underwater TDOA Localization: A Convex-Optimization-Driven Neural Framework
Anchor node selection for underwater time difference of arrival (TDOA) localization struggles to balance accuracy and computational cost. This paper proposes a convex-optimization-driven framework to overcome this. We first relax a Boolean selection problem into a convex semidefinite program (SDP) to generate …
cn (code pays fourni par la source)
0 citations
Adaptive Metaheuristic-Optimized Stochastic Resonance Network for DOA Estimation in low-SNR Underwater Environments
Accurate direction of arrival (DOA) estimation in low signal-to-noise ratio (SNR) underwater environments is crucial for acoustic applications. Traditional stochastic resonance (SR) methods are limited by fixed parameters and phase distortion. This paper proposes an adaptive metaheuristic-optimized SR network (AMO-SRN) that enhances …
cn (code pays fourni par la source)
0 citations
NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models: Datasets, Methods and Results
Xin Li, Jiachao Gong, Xijun Wang, Shiyao Xiong et autres
This paper presents an overview of the NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models. This challenge utilizes a new short-form UGC (S-UGC) video restoration benchmark, termed KwaiVIR, which is contributed by USTC and Kuaishou Technology. …
0 citations
arXiv (Cornell University)
NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models: Datasets, Methods and Results
Xin Li, Jiachao Gong, Xijun Wang, Shiyao Xiong et autres
This paper presents an overview of the NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models. This challenge utilizes a new short-form UGC (S-UGC) video restoration benchmark, termed KwaiVIR, which is contributed by USTC and Kuaishou Technology. …
0 citations
arXiv (Cornell University)
Discussion on the Objectivity and Scientificity of Conversation Analysis
0 citations
海外英语
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