[HTML][HTML] Enhancing solar PV reliability with hybrid local features and infrared thermography

W Ahmed - Energy Reports, 2025 - Elsevier
The widespread adoption of Solar Photovoltaic Systems (PVS) faces challenges due to
operational and environmental stresses, which can lead to hotspots and potential failures …

[HTML][HTML] Fully interpretable deep learning model using IR thermal images for possible breast cancer cases

Y Mirasbekov, N Aidossov, A Mashekova, V Zarikas… - Biomimetics, 2024 - mdpi.com
Breast cancer remains a global health problem requiring effective diagnostic methods for
early detection, in order to achieve the World Health Organization's ultimate goal of breast …

A comprehensive review of the functionality and applications of unmanned aerial vehicles (UAVs) in the realm of agriculture

BK Komatineni, S Makam, SS Meena - Journal of Electrical Systems and …, 2024 - Springer
In India, there is an urgent need to meet the food production due to the country's rapidly
expanding population. There is a downturn in the farming sector and the farmers are shifting …

The Application of Infrared Thermography for Enhancing Maintenance in Public University

NAA Salim, IA Zulkifli - Journal of Advanced Research Design, 2024 - akademiabaru.com
A university's main function is to produce quality graduates, and in doing so, university
buildings do play significant roles and are vital assets and resources. Hence, to prolong a …

AI based Fault Diagnosis in Power Transformer-A Deep Learning Framework using Convolutional Neural Network based on Infrared Imaging and Wasserstein …

S Tanavade, VM Joy, SM Rizwan… - 2024 32nd …, 2024 - ieeexplore.ieee.org
The condition of a transformer impacts the safety of electrical power networks. Transformer
failures not only reduce system reliability but also cause serious accidents and financial …

[PDF][PDF] Further Development and Validation of an Interpretable Deep Learning Model for IR Image Based Breast Cancer Diagnosis

Y Mirasbekov, N Aidossov, A Mashekova, V Zarikas… - 2024 - preprints.org
Breast cancer remains a global health problem requiring effective diagnostic methods for
early detection in order to achieve WHO's ultimate goal of breast self-examination (BSE). A …

PIoT‐oriented multi‐target recognition of substation infrared images driven by deep learning

M Li, T Li, X Zhang, W Zhang - Internet Technology Letters - Wiley Online Library
Substation infrared imaging plays a crucial role in condition monitoring and fault detection of
Power Internet of Things (PIoT). However, the accurate and efficient recognition of multiple …