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researcher

A. Al-lahham

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

most citedSky Imager-Based Forecast of Solar Irradiance Using Machine Learning

53 citations · 55 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2024

Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline

Anas Al-lahham, Muhammad Zaigham Zaheer, Nurbek Tastan +1

Unsupervised (US) video anomaly detection (VAD) in surveillance applications is gaining more popularity recently due to its practical real-world applications. As surveillance video…

cs.CV2023★ 2 cited

A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection

Anas Al-lahham, Nurbek Tastan, Zaigham Zaheer +1

Detection of anomalous events in videos is an important problem in applications such as surveillance. Video anomaly detection (VAD) is well-studied in the one-class classification…

cs.CV2023★ 53 cited

Sky Imager-Based Forecast of Solar Irradiance Using Machine Learning

Anas Al-lahham, Obaidah Theeb, Khaled Elalem +2

Ahead-of-time forecasting of the output power of power plants is essential for the stability of the electricity grid and ensuring uninterrupted service. However, forecasting renewa…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.