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Dec 1, 2023 · Waste heat recovery technology is considered as a promising approach to improve energy efficiency, achieve energy and energy cost savings, and mitigate environmental …
Oct 15, 2023 · This paper quantifies the economic and environmental gains from data centre's cooling-based flexibility and waste-heat recovery in energy systems with significant data centre …
Tensor network (TN) decomposition stands as a pivotal technique for characterizing the essential features of high-dimensional data, attracting significant interest and achieving notable success …
May 31, 2024 · A data recovery method based on the OMP algorithm is used in the missing response recovery for aviation anti-rust aluminum plates [32]. Li et al. [6] studied an approach …
Dec 1, 2024 · The faulty sensor data recovery method consists of a TE-based fault feature variable extraction module, a UPCA-based sensor fault diagnosis module, and a GW-LSTM …
Feb 1, 2025 · TimeGAN is employed to learn the structure and distribution of air quality data, facilitating the generation of synthetic data through adversarial networks. Subsequently, the …
Jun 1, 2025 · Verification was conducted on single-channel and multi-channel data from practical engineering of large-span bridges by comparing the recovery levels in the time and frequency …
May 1, 2019 · An all-digital clock and data recovery (CDR) circuit is proposed in this work. The modified structure of multi-level bang-bang phase detector (BBPD) i…
Jul 1, 2025 · Another view suggests that data correlation is the key contributor [ [9], [10]]. In this work, we provide a comprehensive analysis of MMPD false lock and introduce an enhanced …
Mar 1, 2024 · Abstract Network monitoring data is usually incomplete, accurate and fast recovery of missing data is of great significance for practical applications. The tensor-based nonlinear …
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