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z-TORCH: An Automated NFV Orchestration and Monitoring Solution [PDF]
IEEE Transactions on Network and Service Management, 2018 Autonomous management and orchestration (MANO) of virtualized resources and services, especially in large-scale network function virtualization (NFV) environments, is a big challenge owing to the stringent delay and performance requirements expected of a
Vincenzo Sciancalepore +2 more
semanticscholar +3 more sources
Clinical Microbiology Reviews, 2019 Infections during pregnancy that may cause congenital abnormalities have been recognized for decades, but their diagnosis is challenging. This was again illustrated with the emergence of Zika virus (ZIKV), highlighting the inherent difficulties in ...
Barry Rockx +2 more
exaly +2 more sources
Torch kit for welding in difficult areas [PDF]
, 1971 Miniature tungsten inert gas welding torch, used with variously formed interchangeable soft copper tubing extensions, provides inexpensive, accurate welding capability for inaccessible joints.
Stein, J. A.
core +2 more sources
Zika virus — reigniting the TORCH
Nature Reviews Microbiology, 2016 Carolyn B Coyne, Helen M Lazear
exaly +2 more sources
YOLO-LaserGalvo: A Vision-Laser-Ranging System for High-Precision Welding Torch Localization. [PDF]
Sensors (Basel)Li J, Wang T, Wei W.
europepmc +2 more sources
TORCH Congenital Syndrome Infections in Central America’s Northern Triangle
Microorganisms, 2023 TORCH pathogens are a group of globally prevalent infectious agents that may cross the placental barrier, causing severe negative sequalae in neonates, including fetal death and lifelong morbidity.
N. Cassir +7 more
semanticscholar +1 more source
Torch-Struct: Deep Structured Prediction Library [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 The literature on structured prediction for NLP describes a rich collection of distributions and algorithms over sequences, segmentations, alignments, and trees; however, these algorithms are difficult to utilize in deep learning frameworks. We introduce
Alexander M. Rush
semanticscholar +1 more source
PLoS Neglected Tropical Diseases, 2022 Background Congenital TORCH (Toxoplasma gondii (T. gondii), rubella virus (RV), cytomegalovirus (CMV), and herpes simplex virus (HSV)) infections are associated with a variety of adverse prenatal and neonatal events, including miscarriage, malformations ...
Linlin Zhang +6 more
semanticscholar +1 more source
Torch-NILM: An Effective Deep Learning Toolkit for Non-Intrusive Load Monitoring in Pytorch
Energies, 2022 Non-intrusive load monitoring is a blind source separation task that has been attracting significant interest from researchers working in the field of energy informatics.
Nikolaos Virtsionis Gkalinikis +2 more
semanticscholar +1 more source
Torch-Points3D: A Modular Multi-Task Framework for Reproducible Deep Learning on 3D Point Clouds [PDF]
International Conference on 3D Vision, 2020 We introduce Torch-Points3D, an open-source framework designed to facilitate the use of deep networks on 3D data. Its modular design, efficient implementation, and user-friendly interfaces make it a relevant tool for research and productization alike ...
Thomas Chaton +3 more
semanticscholar +1 more source