TaskComplexity: A Dataset for Task Complexity Classification with In-Context Learning, FLAN-T5 and GPT-4o Benchmarks
AF Rasheed, M Zarkoosh, SF Abbas… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper addresses the challenge of classifying and assigning programming tasks to
experts, a process that typically requires significant effort, time, and cost. To tackle this issue …
experts, a process that typically requires significant effort, time, and cost. To tackle this issue …
Arabic offensive language classification: Leveraging transformer, lstm, and svm
AF Rasheed, M Zarkoosh, SF Abbas… - … on Machine Learning …, 2023 - ieeexplore.ieee.org
Social media platforms have become indispensable parts of our lives, offering avenues to
share news, thoughts, and updates, as well as connect with new friends and explore various …
share news, thoughts, and updates, as well as connect with new friends and explore various …
Modification of Deep Learning Architecture (LeNet) for Handwriting Prediction of Hijaiyah Letters
C Damarjati, K Hayyat - 2024 4th International Conference …, 2024 - ieeexplore.ieee.org
Hijaiyah is in the Quran. Learning Hijaiyah letters is difficult. This study can aid hijaiyah letter
learning. This study improves hijaiyah handwriting prediction by modifying Deep Learning …
learning. This study improves hijaiyah handwriting prediction by modifying Deep Learning …
Grad-Cam Visualization Of Arabic Letter Character Prediction
C Damarjati, DR Akbar - 2023 International Workshop on …, 2023 - ieeexplore.ieee.org
Arabic letters, commonly called hijaiyah letters, present a considerable challenge in
acquisition and mastery. Introducing hijaiyah letters is a significant subject due to the …
acquisition and mastery. Introducing hijaiyah letters is a significant subject due to the …
Unveiling Derivatives in Deep and Convolutional Neural Networks: A Guide to Understanding and Optimization
AF Rasheed, M Zarkoosh - 2024 - hal.science
The world of artificial intelligence and deep learning is constantly evolving, with many
pioneers and researchers utilizing frameworks such as TensorFlow and PyTorch to expedite …
pioneers and researchers utilizing frameworks such as TensorFlow and PyTorch to expedite …