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: The study presents a novel use of Convolutional Neural Network (CNN) algorithms for crop prediction and soil type classification. Soil type classification is crucial for agricultural ...
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 ...
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: X is one of the most popular social media platforms for rapidly disseminating information. However, not all information circulating on X is credible; there are hoaxes and rumors, especially ...
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: This research proposes an intelligent cable arrangement detection algorithm integrating improved convolutional neural network (CNN) and edge rectification, focusing on the elongated object ...
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: Line-Commutated Converter High Voltage Direct Current (LCC HVDC) is a prominent method for HVDC power transmission. This paper addresses the fault identification challenge in LCC HVDC ...
Abstract: This paper proposes a novel hybrid classification model obtained by fusion of two Swarm Intelligence techniques (Bat Algorithms (BA) and Grey Wolf Optimizer (GWO)) with a Deep Convolutional ...
Abstract: Aiming at the problem of low accuracy in photovoltaic array fault diagnosis, a photovoltaic array fault diagnosis method based on CNN-BiLSTM-Attention optimized by black-winged kite ...
Abstract: The need for real-time, user-friendly communication interfaces has driven gesture recognition system development. This need spurred system growth. This need has pushed Human-Computer ...
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