Abstract: This study aims to enhance the accuracy and generalization of motor imagery-based brain-computer interface (MI-BCI) systems using a novel frequency-based graph convolutional neural network ...
Abstract: To accurately and efficiently determine the operating state of transformers, based on the driving point admittance method, a trapezoidal equivalent network model for dual-windings ...
Reported sales nil Reported sales nil Net loss of Computer Point reported to Rs 0.14 crore in the quarter ended December 2025 as against net profit of Rs 0.02 crore during the previous quarter ended ...
Abstract: Raw face point clouds obtained from scanning are often incomplete, resulting in a loss of structural details and posing challenges for many tasks, such as facial surgery navigation, face ...
Abstract: Accurately monitoring the spatiotemporal dynamics of environmental fields using point-based wireless sensor networks (WSNs) is critical for applications such as urban microclimate monitoring ...
Abstract: The increasing applications of 3D point clouds require efficient compression techniques to achieve high-quality and low-delay services. However, the computational efficiency and ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
The conservative organization first announced its plans for a halftime show alternative following right-wing backlash to Puerto Rican superstar Bad Bunny. By Ethan Millman Music Editor “We’re ...
Abstract: Quantum networks use quantum communication protocols to transmit quantum information (or qubits) between distant quantum processors. This is needed to cope with the limitation regarding ...
Abstract: LiDAR-based point cloud segmentation is a significant and challenging task for 3D scene understanding. Recent voxel-based methods are often built on submanifold sparse residual calculation ...
Elemental Composite Prototypical Network: Few-Shot Object Detection on Outdoor 3D Point Cloud Scenes
Abstract: This paper introduces the Elemental Composite Prototypical Network (ECPN), a novel approach to few-shot learning (FSL) in outdoor 3D point cloud object detection. Such point clouds are ...
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