Abstract: With the development of deep learning, the traditional approach of manually designing network archi-tectures and determining parameters inevitably loses its reliance on expert systems, which ...
Abstract: The Maximum Power Point Tracking (MPPT) algorithm subjected the PV parameters to changes under faulty and weather operations conditions during runtime, which influenced the results obtained.
Abstract: Structure-from-Motion (SfM) is the task of estimating 3D structure and camera poses from images. We define Collaborative SfM (ColabSfM) as sharing distributed SfM reconstructions. Sharing ...
Abstract: This paper reconstructs the kernel least mean squares algorithm (KLMS) from the perspective of the fixed-point strategy, thereby introducing the fixed-point kernel least mean squares ...
Abstract: This paper focuses on the multi-objective resource allocation problem in multi-agent systems, where the objective is to find an optimal allocation policy. To solve this problem, we propose ...
Abstract: In the rapidly evolving field of Web Front-End development, traditional teaching platforms often suffer from rigid content delivery mechanisms that fail to accommodate individual learning ...
Abstract: This research focuses on the implementation of quantum machine learning with the classical models such as Gradient Boosting and K-means clustering for efficient classification and clustering ...
Abstract: Existing underwater terrain matching localization algorithms face challenges such as limited application scope, poor real-time performance, and low localization accuracy. To address these ...
Abstract: In light of the growing global concerns over energy and climate change, new energy vehicles are confronted with both opportunities and challenges posed by industrial structural ...