Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Heakl, Ahmed"'
Autor:
Ghaboura, Sara, Heakl, Ahmed, Thawakar, Omkar, Alharthi, Ali, Riahi, Ines, Saif, Abduljalil, Laaksonen, Jorma, Khan, Fahad S., Khan, Salman, Anwer, Rao M.
Recent years have witnessed a significant interest in developing large multimodal models (LMMs) capable of performing various visual reasoning and understanding tasks. This has led to the introduction of multiple LMM benchmarks to evaluate LMMs on di
Externí odkaz:
http://arxiv.org/abs/2410.18976
Traditional fish farming practices often lead to inefficient feeding, resulting in environmental issues and reduced productivity. We developed an innovative system combining computer vision and IoT technologies for precise Tilapia feeding. Our soluti
Externí odkaz:
http://arxiv.org/abs/2409.08695
The increasing reliance on online recruitment platforms coupled with the adoption of AI technologies has highlighted the critical need for efficient resume classification methods. However, challenges such as small datasets, lack of standardized resum
Externí odkaz:
http://arxiv.org/abs/2406.18125
Motivated by the widespread increase in the phenomenon of code-switching between Egyptian Arabic and English in recent times, this paper explores the intricacies of machine translation (MT) and automatic speech recognition (ASR) systems, focusing on
Externí odkaz:
http://arxiv.org/abs/2406.18120
This paper introduces DroneVis, a novel library designed to automate computer vision algorithms on Parrot drones. DroneVis offers a versatile set of features and provides a diverse range of computer vision tasks along with a variety of models to choo
Externí odkaz:
http://arxiv.org/abs/2406.00447
This study thoroughly investigates how well deep learning models can recognize Arabic handwritten text for person biometric identification. It compares three advanced architectures -- ResNet50, MobileNetV2, and EfficientNetB7 -- using three widely re
Externí odkaz:
http://arxiv.org/abs/2406.00409
Biometric identification is a reliable method to verify individuals based on their unique physical or behavioral traits, offering a secure alternative to traditional methods like passwords or PINs. This study focuses on ear biometric identification,
Externí odkaz:
http://arxiv.org/abs/2406.00135
This study presents AraSpider, the first Arabic version of the Spider dataset, aimed at improving natural language processing (NLP) in the Arabic-speaking community. Four multilingual translation models were tested for their effectiveness in translat
Externí odkaz:
http://arxiv.org/abs/2402.07448
Due to the increased demand for music streaming/recommender services and the recent developments of music information retrieval frameworks, Music Genre Classification (MGC) has attracted the community's attention. However, convolutional-based approac
Externí odkaz:
http://arxiv.org/abs/2208.12086