Abstract: Pothole is a large fissure while the vehicles are on the roadways. The potholes usually lead to underneath caverns and pits in the road to make it difficult to ride. If the vehicles are ...
Abstract: In the application scenario of automatic segmentation diagnosis for dental lesions, the focus of semantic segmentation tasks lies in how to design a lightweight segmentation network enabling ...
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 order to realize the effective prediction of harmonic emission level in power system, a harmonic emission level estimation method based on CNN-LSTM algorithm is proposed. The harmonic ...
Abstract: This research uses a Hybrid Deep Capsule Autoencoder-based Convolutional Neural Network and an Improved Whale Optimization (IWO) model to classify sugarcane leaf diseases. It starts with ...
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: Against the backdrop of accelerating global energy transition, photovoltaic (PV) power generation technology has emerged as a core pathway to alleviate energy supply-demand imbalances and ...
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 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 address the low accuracy of conductor entanglement fault identification, an intelligent identification method for overhead line conductor entanglement faults based on an improved Mask ...
Abstract: This paper proposes a hybrid demodulation algorithm for fiber Bragg grating (FBG) sensors that integrates a lightweight 1D Convolutional Neural Network (1D-CNN) with centroid localization.
ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...
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