Results 11 to 20 of about 106,785 (260)

MSIS: Multispectral Instance Segmentation Method for Power Equipment [PDF]

open access: yesComputational Intelligence and Neuroscience, 2022
Infrared image of power equipment is widely used in power equipment fault detection, and segmentation of infrared images is an important step in power equipment thermal fault detection. Nevertheless, since the overlap of the equipment, the complex background, and the low contrast of the infrared image, the current method still cannot complete the ...
Jun Shu, Juncheng He, Ling Li
openaire   +2 more sources

An Algorithm for DC Segmentation of AC Power Systems to Mitigate Electromechanical Oscillations

open access: yesIEEE Access, 2023
In the last decades, various events have shown that electromechanical oscillations are a major concern for large interconnected Alternative Current (AC) power systems.
Mathieu Robin   +5 more
doaj   +1 more source

Grid-Related Fine Action Segmentation Based on an STCNN-MCM Joint Algorithm during Smart Grid Training

open access: yesEnergies, 2023
Smart grid-training systems enable trainers to achieve the high safety standards required for power operation. Effective methods for the rational segmentation of continuous fine actions can improve smart grid-training systems, which is of great ...
Yong Liu   +5 more
doaj   +1 more source

A Real-Time Strand Breakage Detection Method for Power Line Inspection with UAVs

open access: yesDrones, 2023
Power lines are critical infrastructure components in power grid systems. Strand breakage is a kind of serious defect of power lines that can directly impact the reliability and safety of power supply. Due to the slender morphology of power lines and the
Jichen Yan   +8 more
doaj   +1 more source

Robustness of radiomics to variations in segmentation methods in multimodal brain MRI

open access: yesScientific Reports, 2022
Radiomics in neuroimaging uses fully automatic segmentation to delineate the anatomical areas for which radiomic features are computed. However, differences among these segmentation methods affect radiomic features to an unknown extent.
M. G. Poirot   +6 more
doaj   +1 more source

Power profile for segment rigid sail [PDF]

open access: yesJournal of Marine Engineering & Technology, 2017
Rigid sails have the potential to lower fuel consumption on powered ships by using the wind as a supplementary source of propulsive power. The amount of propulsive power that can be provided by each sail is dependent on a number of variables, which include the sail type, sail area and number of sails deployed. Since each type and size of rigid sail has
Gregory Mark Atkinson, Jonathan Binns
openaire   +1 more source

A Sequential Bayesian Approach to Online Power Quality Anomaly Segmentation [PDF]

open access: yesIEEE Transactions on Industrial Informatics, 2021
Increased observability on power distribution networks can reveal signs of incipient faults which can develop into costly and unexpected plant failures. While low-cost sensing and communications infrastructure is facilitating this, it is also highlighting the complex nature of fault signals, a challenge which entails precisely extracting anomalous ...
Jiang, Xu   +2 more
openaire   +3 more sources

Portrait Segmentation Using Ensemble of Heterogeneous Deep-Learning Models

open access: yesEntropy, 2021
Image segmentation plays a central role in a broad range of applications, such as medical image analysis, autonomous vehicles, video surveillance and augmented reality.
Yong-Woon Kim   +2 more
doaj   +1 more source

Adapting Segment Anything Model for Power Transmission Corridor Hazard Segmentation

open access: yesCoRR
Power transmission corridor hazard segmentation (PTCHS) aims to separate transmission equipment and surrounding hazards from complex background, conveying great significance to maintaining electric power transmission safety. Recently, the Segment Anything Model (SAM) has emerged as a foundational vision model and pushed the boundaries of segmentation ...
Hang Chen   +5 more
openaire   +3 more sources

MRI-based brain tumor segmentation using FPGA-accelerated neural network

open access: yesBMC Bioinformatics, 2021
Background Brain tumor segmentation is a challenging problem in medical image processing and analysis. It is a very time-consuming and error-prone task. In order to reduce the burden on physicians and improve the segmentation accuracy, the computer-aided
Siyu Xiong   +10 more
doaj   +1 more source

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