Results 1 to 10 of about 1,019,412 (300)

Considerations for starting combustion engines with AC machines

Diagnostyka, 2022
To initiate its combustion cycles, internal combustion engines require a minimum rotational speed that can be given from several sources (muscular, electrical, pneumatic, among others).
Mauricio Monroy, Carlos Alberto Romero, Edison de Jesús Henao   +2 more
doaj   +1 more source

Multi-objective optimization of high torque density segmented PM consequent pole flux switching machine with flux bridge

CES Transactions on Electrical Machines and Systems, 2021
Due to double salient structure, Flux Switching Machines (FSMs) are preferred for brushless AC high speed applications. Permanent Magnet (PM) FSMs (PM-FSMs) are suited applicants where high torque density (Tden) and power density (Pden) are the utmost ...
Wasiq Ullah, Faisal Khan, Muhammad Umair
doaj   +1 more source

Machine Learning-Based Model for Predicting Incidence and Severity of Acute Ischemic Stroke in Anterior Circulation Large Vessel Occlusion

Frontiers in Neurology, 2021
Objectives: Patients with anterior circulation large vessel occlusion are at high risk of acute ischemic stroke, which could be disabling or fatal.
Junzhao Cui, Jingyi Yang, Kun Zhang, Guodong Xu, Ruijie Zhao, Xipeng Li, Luji Liu, Yipu Zhu, Lixia Zhou, Ping Yu, Lei Xu, Tong Li, Jing Tian, Pandi Zhao, Si Yuan, Qisong Wang, Li Guo, Xiaoyun Liu, Xiaoyun Liu   +18 more
doaj   +1 more source

Efficacy and Safety of Anticoagulation Treatment in COVID-19 Patient Subgroups Identified by Clinical-Based Stratification and Unsupervised Machine Learning: A Matched Cohort Study

Frontiers in Medicine, 2021
Objective: To explore the efficacy of anticoagulation in improving outcomes and safety of Coronavirus disease 2019 (COVID-19) patients in subgroups identified by clinical-based stratification and unsupervised machine learning.Methods: This single-center ...
Yi Bian, Yi Bian, Yue Le, Yue Le, Han Du, Junfang Chen, Ping Zhang, Zhigang He, Zhigang He, Ye Wang, Ye Wang, Shanshan Yu, Shanshan Yu, Yu Fang, Yu Fang, Gang Yu, Gang Yu, Jianmin Ling, Jianmin Ling, Yikuan Feng, Yikuan Feng, Sheng Wei, Jiao Huang, Liuniu Xiao, Liuniu Xiao, Yingfang Zheng, Yingfang Zheng, Zhen Yu, Shusheng Li, Shusheng Li   +29 more
doaj   +1 more source

Earth Observation and Machine Learning Reveal the Dynamics of Productive Upwelling Regimes on the Agulhas Bank

Frontiers in Marine Science, 2022
The combined application of machine learning and satellite observations offers a new way for analysing complex ocean biological and physical processes.
Fatma Jebri, Meric Srokosz, Zoe L. Jacobs, Francesco Nencioli, Francesco Nencioli, Ekaterina Popova   +5 more
doaj   +1 more source

A Common DC-Bus-Configured Traction Motor Emulator Using a Virtually Isolated Three-Phase AC-DC Bidirectional Converter

IEEE Access, 2021
An industrial drive testing, with a ‘real-machine’ can pave way, for some serious issues to test-bench and motor. A slight disturbance in control logic amid testing, can damage the physical machine or drive.
Arvind H. Kadam, Sheldon S. Williamson
doaj   +1 more source

Tribological Compatibility of Some Selected Pb-Free Engine Bearing Materials with Different Engine Oil Formulations

Tribology Online, 2018
In this study, friction and wear properties of Al-Sn based bearing alloy with no overlay, bronze lining coated with Al-Sn based overlay and PAI based overlay, bronze lining coated with Sn based overlay and Pb-containing bearing material have been ...
Daniel W. Gebretsadik, Jens Hardell, Christoph Gabler, Braham Prakash   +3 more
doaj   +1 more source

Overview of the rectangular wire windings AC electrical machine

CES Transactions on Electrical Machines and Systems, 2019
The rectangular wire winding AC electrical machine has drawn extensive attention due to their high slot fill factor, good heat dissipation, strong rigidity and short end-windings, which can be potential candidates for some traction application so as to ...
Yu Zhao, Dawei Li, Tonghao Pei, Ronghai Qu   +3 more
doaj   +1 more source

Machine Learning Adaptive Computational Capacity Prediction for Dynamic Resource Management in C-RAN

IEEE Access, 2020
Efficient computational resource management in 5G Cloud Radio Access Network (C-RAN) environments is a challenging problem because it has to account simultaneously for throughput, latency, power efficiency, and optimization tradeoffs. The assumption of a
Rolando Guerra-Gomez, Silvia Ruiz-Boque, Mario Garcia-Lozano, Joan Olmos Bonafe   +3 more
doaj   +1 more source

Perspectives on Adversarial Classification

Mathematics, 2020
Adversarial classification (AC) is a major subfield within the increasingly important domain of adversarial machine learning (AML). So far, most approaches to AC have followed a classical game-theoretic framework.
David Rios Insua, Roi Naveiro, Victor Gallego   +2 more
doaj   +1 more source