Detection of coal and gangue based on improved YOLOv5.1 which embedded scSE module*

Article Computer Science, Hardware & Architecture

Multi-Feature Analysis for Automated Brain Stroke Classification Using Weighted Gaussian Naive Bayes Classifier

S. Jayachitra et al.

Summary: In today's world, brain stroke is a life-threatening disease caused by blockage in the brain's arteries. Timely diagnosis through MRI images is crucial for increasing survival rates, but automated detection faces challenges due to the complexity of stroke lesions. This research proposes an optimized fuzzy segmentation algorithm and achieves higher accuracy compared to existing techniques.

JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS (2021)

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Article Engineering, Multidisciplinary

A Tuned classification approach for efficient heterogeneous fault diagnosis in IoT-enabled WSN applications

S. Lavanya et al.

Summary: The proposed novel Energy-Efficient Heterogeneous Fault Management scheme aims to address hardware, software, and time-based faults in IoT-based Wireless Sensor Networks (IWSN). By using new diagnosis algorithms and a Support Vector Machine classifier, the scheme significantly improves diagnosis accuracy and performance.

MEASUREMENT (2021)

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Article Engineering, Multidisciplinary

Fault diagnosis of electric impact drills using thermal imaging

Adam Glowacz

Summary: Fault diagnosis based on thermal images can help save maintenance costs. The method proposed in this work extracts features from thermal images using the BCAoID method, achieving high recognition accuracy for different faults in electric impact drills. This approach can be applied for protecting rotating machinery and engines.

MEASUREMENT (2021)

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Article Chemistry, Analytical

Ventilation Diagnosis of Angle Grinder Using Thermal Imaging

Adam Glowacz

Summary: This paper introduces an analysis and classification method using infrared thermography and image processing to evaluate the working condition of angle grinders. A new method, BCAoMID-F, is proposed to extract features from thermal images of three angle grinders and achieved high recognition efficiency. The technique presented is effective for fault diagnosis of electrical devices and electric power tools.

SENSORS (2021)

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Article Chemistry, Physical

Surface Roughness Evaluation in Thin EN AW-6086-T6 Alloy Plates after Face Milling Process with Different Strategies

Daniel Chuchala et al.

Summary: The study aimed to investigate the effect of removing the outer material layers of aluminium alloy sheets on surface roughness after face milling. Significant differences in surface roughness were found among different machining strategies and rolling directions, but these differences were not statistically significant. The position of the face cutter axis during the machining process was observed to have a significant effect on surface roughness.

MATERIALS (2021)

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Article Chemistry, Multidisciplinary