Abstract: The city of Palembang is facing a significant increase in traffic density, causing various problems such as congestion. Research was conducted to overcome this problem by using various ...
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 ...
Abstract: This research investigates the multidimensional domain of color image optimization design for emotional product color design, in this case, tricolor product color schemes. By introducing ...
Abstract: In this research, some computational approaches based on biological evolutionary theory have been employed to diminish the total harmonic distortion (THD) of a cascaded 7-level -inverter ...
Abstract: In the petroleum industry, light-quantum flowmeters can perform multiphase measurement of gas, liquid, and solid phases, which has attracted significant attention. However, their measurement ...
Abstract: To enhance the accuracy of short-term power load forecasting, this paper proposes a hybrid prediction model based on the Snow Ablation Optimization (SAO) algorithm, integrating Convolutional ...
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