Deep learning in automated power line inspection: A review by Md. Ahasan Atick Faisal (15302410)

“…A comprehensive review of existing studies has been conducted in this paper, to aid researchers and industries in developing improved deep learning-based systems for analyzing power line data. The conventional steps of data analysis in power line inspections have been examined, and the body of current research has been systematically categorized into two main areas: the detection of components and the diagnosis of faults. …”

An Empirical Analysis of NMT-Derived Interlingual Embeddings and Their Use in Parallel Sentence Identification by Cristina Espana-Bonet (19720063)

Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions by Yinsong Chen (16685508)

Robust Prediction of Wildfire Spread in Australia by Michael Palk (17947841)

ESTIMATING ENVIRONMENTAL IMPACT FROM CABLE WASTE IN DEWA by Al-Amiri, Reem

“…DEWA is a provider of services for electric power systems. It was established in 1992. Its operations include designing and commissioning of switching as well as protection products for power generation, transmission and distribution. …”
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A COMPUTERIZED FORECASTING SYSTEM FOR STUDENT ENROLLMENT IN KFUPM by Pulak, M.F.S.

“…The computer program then can be used as a powerful simulation tool to project the future enrollment.…”
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Binary-NeRV: Hybrid-Precision Weights Binarization for Efficient Neural Video Representation by Shanableh, Tamer

“…Neural implicit video representations such as NeRV have emerged as a powerful alternative to traditional video codecs. However, the high computational cost and full-precision storage of NeRV limit its practicality for resource-constrained and embedded platforms. …”
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