Muhammad Arbab Arshad
According to our database1,
Muhammad Arbab Arshad
authored at least 9 papers
between 2019 and 2024.
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Bibliography
2024
Comparison of deep learning algorithms for site detection of false data injection attacks in smart grids.
Energy Inform., December, 2024
From Predictive Importance to Causality: Which Machine Learning Model Reflects Reality?
CoRR, 2024
AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs.
CoRR, 2024
Putting GPT-4o to the Sword: A Comprehensive Evaluation of Language, Vision, Speech, and Multimodal Proficiency.
CoRR, 2024
CoRR, 2024
2023
The Power Of Simplicity: Why Simple Linear Models Outperform Complex Machine Learning Techniques - Case Of Breast Cancer Diagnosis.
CoRR, 2023
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
2022
Forecasting highly fluctuating electricity load using machine learning models based on multimillion observations.
Adv. Eng. Informatics, 2022
2019
A Novel Demand Side Management (DSM) Technique for Electric Grids with High Renewable Energy Mix using Hierarchical Clustering of Loads.
Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems, 2019