IEEE

Learning Entirely Unknown Classes in Time-Series Data Using Convolutional Neural Networks for Insulation Status Assessment of Partial Discharges in Power Cable Joints

Abstract: In this study, a method for supervised learning comprising a convolutional neural network (CNN) and sliding-window threshold is proposed for data with completely unknown categories. The ...
GitHub

Abstract functions will have comments when they are completed during inheritance

Godot v4.5.stable - Windows 10 (build 19045) - Multi-window, 2 monitors - Vulkan (Forward+) - dedicated NVIDIA GeForce RTX 2060 with Max-Q Design (NVIDIA; 31.0.15.1700) - AMD Ryzen 7 4800H with Radeon ...
IEEE

Enabling Time-Centric Computation for Efficient Temporal Graph Traversals From Multiple Sources (Extended abstract)

Abstract: Temporal graph traversal is an approach for analyzing how information spreads throughout a network over time. A system has been recently proposed as an initial effort for efficient analyses ...
The Lancet

Global, regional, and national cascades of diabetes care, 2000–23: a systematic review and modelling analysis using findings from the Global Burden of Disease Study

aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bSchool of Medicine, University of Washington, Seattle, WA, USA cGeneral Medicine Service, Department of ...