Abstract: In the field of short-term power load prediction, the current prediction methods have low prediction accuracy. To address this issue, this study introduces level processing method and ...
Abstract: This article proposes a novel Doppler shift-compensated frequency-modulated continuous wave (DSC-FMCW) algorithm for achieving high-precision time-of-arrival (TOA) estimation of moving ...
Abstract: Dementia, a neurodegenerative disorder, requires early prediction and effective diagnosis for providing better treatment to avert the loss. The detection and classification of disease is ...
One of the fundamental requirements for the operation of power systems is safety and stability. However, in recent years, natural disasters such as rain, snow, and freezing weather have posed a ...
Abstract: With the rapid development of railway transportation, the safety and reliability of railway signal interlocking system has become the key factor to ensure the safety of train operation. The ...
Abstract: The predominant metric for evaluating speech recognizers, the Word Error Rate (WER) has been extended in different ways to handle transcripts produced by ...
This work explores an efficient convolutional acceleration framework tailored for edge devices by integrating Depthwise Convolution with the Winograd algorithm. Through RTL-based hardware ...
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