| Putting gpt-4o to the sword: A comprehensive evaluation of language, vision, speech, and multimodal proficiency S Shahriar, BD Lund, NR Mannuru, MA Arshad, K Hayawi, RVK Bevara, ... Applied Sciences 14 (17), 7782, 2024 | 37 | 2024 |
| Forecasting highly fluctuating electricity load using machine learning models based on multimillion observations M Abdallah, MA Talib, M Hosny, OA Waraga, Q Nasir, MA Arshad Advanced Engineering Informatics 53, 101707, 2022 | 17 | 2022 |
| Mutation-based Fault Localization of Deep Neural Networks A Ghanbari, DG Thomas, MA Arshad, H Rajan 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 13 | 2023 |
| Evaluating Neural Radiance Fields for 3D Plant Geometry Reconstruction in Field Conditions MA Arshad, T Jubery, J Afful, A Jignasu, A Balu, ... Plant Phenomics 6, 0235, 2024 | 7* | 2024 |
| On the use of FPGAs to implement CNNs: A brief review MA Arshad, S Shahriar, A Sagahyroon 2020 International Conference on Computing, Electronics & Communications …, 2020 | 6 | 2020 |
| A minimal neural network model to predict power loss due to soiling in stable environments MA Arshad, S Shapsough, I Zualkernan, R Dhaouadi, M Takrouri 2020 International Conference on Electronics, Information, and Communication …, 2020 | 5 | 2020 |
| The Power Of Simplicity: Why Simple Linear Models Outperform Complex Machine Learning Techniques--Case Of Breast Cancer Diagnosis MA Arshad, S Shahriar, K Anjum arXiv preprint arXiv:2306.02449, 2023 | 3 | 2023 |
| A Novel Demand Side Management (DSM) Technique for Electric Grids with High Renewable Energy Mix using Hierarchical Clustering of Loads. MA Arshad, S Hasnain, N Arshad SMARTGREENS, 137-142, 2019 | 1 | 2019 |
| Use of artificial intelligence in soybean breeding and production AK Singh, SE Jones, L Van der Laan, TT Ayanlade, J Raigne, N Saleem, ... Academic Press, 2025 | | 2025 |
| The impact of market orientation and brand storytelling on Shark Tank evaluations – a B2B and large language modeling perspective P Jayashankar, T Roy, S Chattopadhyay, MA Arshad, S Sarkar Journal of Business & Industrial Marketing 40 (1), 265-280, 2025 | | 2025 |
| From Predictive Importance to Causality: Which Machine Learning Model Reflects Reality? MA Arshad, P Kandanur, S Sonawani, L Batool, MU Habib arXiv preprint arXiv:2409.02130, 2024 | | 2024 |
| Comparison of deep learning algorithms for site detection of false data injection attacks in smart grids Q Nasir, M Abu Talib, MA Arshad, T Ishak, R Berrim, B Alsaid, Y Badway, ... Energy Informatics 7 (1), 71, 2024 | | 2024 |
| AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs MA Arshad, TZ Jubery, T Roy, R Nassiri, AK Singh, A Singh, C Hegde, ... arXiv preprint arXiv:2407.19617, 2024 | | 2024 |
| Assisted Few-Shot Learning for Vision-Language Models in Agricultural Stress Phenotype Identification MA Arshad, TZ Jubery, AK Singh, A Singh, C Hegde, ... Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning, 0 | | |
Sakib ShahriarUniversity of GuelphBestätigte E-Mail-Adresse bei uoguelph.ca