Zobrazeno 1 - 10
of 10 812
pro vyhledávání: '"Bahaa, A."'
Large language models (LLMs) have significantly advanced natural language processing, excelling in areas like text generation, summarization, and question-answering. Despite their capabilities, these models face challenges when fine-tuned on small, d
Externí odkaz:
http://arxiv.org/abs/2412.15254
Autor:
Elshaarawy, Mohamed, Saeed, Ashrakat, Sheta, Mariam, Said, Abdelrahman, Bakr, Asem, Bahaa, Omar, Gomaa, Walid
This paper proposes a machine learning approach for classifying classical and new Egyptian music by composer and generating new similar music. The proposed system utilizes a convolutional neural network (CNN) for classification and a CNN autoencoder
Externí odkaz:
http://arxiv.org/abs/2410.19719
Autor:
Hesham, Momen, Essam, Mohamed, Bahaa, Mohamed, Mohamed, Ahmed, Gomaa, Mohamed, Hany, Mena, Elsersy, Wael
As these attacks become more and more difficult to see, the need for the great hi-tech models that detect them is undeniable. This paper examines and compares various machine learning as well as deep learning models to choose the most suitable ones f
Externí odkaz:
http://arxiv.org/abs/2407.06014
With the exponential increase in video content, the need for accurate deception detection in human-centric video analysis has become paramount. This research focuses on the extraction and combination of various features to enhance the accuracy of dec
Externí odkaz:
http://arxiv.org/abs/2407.06005
We introduce MMIS, a novel dataset designed to advance MultiModal Interior Scene generation and recognition. MMIS consists of nearly 160,000 images. Each image within the dataset is accompanied by its corresponding textual description and an audio re
Externí odkaz:
http://arxiv.org/abs/2407.05980
Facial Expression Recognition (FER) is vital for understanding interpersonal communication. However, existing classification methods often face challenges such as vulnerability to noise, imbalanced datasets, overfitting, and generalization issues. In
Externí odkaz:
http://arxiv.org/abs/2407.02361
Autor:
Dotzel, Jordan, Chen, Yuzong, Kotb, Bahaa, Prasad, Sushma, Wu, Gang, Li, Sheng, Abdelfattah, Mohamed S., Zhang, Zhiru
The increasing size of large language models (LLMs) traditionally requires low-precision integer formats to meet strict latency and power demands. Yet recently, alternative formats such as Normal Float (NF4) have increased model accuracy at the cost
Externí odkaz:
http://arxiv.org/abs/2405.03103
Traditional methods, such as JPEG, perform image compression by operating on structural information, such as pixel values or frequency content. These methods are effective to bitrates around one bit per pixel (bpp) and higher at standard image sizes.
Externí odkaz:
http://arxiv.org/abs/2402.13536
Training generalist robot agents is an immensely difficult feat due to the requirement to perform a huge range of tasks in many different environments. We propose selectively training robots based on end-user preferences instead. Given a factory mode
Externí odkaz:
http://arxiv.org/abs/2402.12509
Autor:
Omar Ahmad, Mohamed H. Omer, Mohammed Janjua, Islam Alayary, Ahmed Fathala, Hani Alsergani, Bandar Alamro, Thibaud Damy, Bahaa Fadel, Dania Mohty
Publikováno v:
ESC Heart Failure, Vol 11, Iss 6, Pp 4348-4359 (2024)
Abstract Aims Cardiac amyloidosis (CA) is a potentially fatal multisystemic disease that remains significantly underdiagnosed, particularly in the Middle East. This study aims to evaluate the prevalence and clinical characteristics of CA in a high‐
Externí odkaz:
https://doaj.org/article/22a35419907740e4aafc15d58e916393
