Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Mansoor, Wathiq"'
Autor:
Geetha, R., Arulselvi, S., Tamilselvi, R., Beham, M. Parisa, Panthakkan, Alavikunhu, Mansoor, Wathiq, Ahmad, Hussain Al
Osteoporosis causes progressive loss of bone density and strength, causing a more elevated risk of fracture than in normal healthy bones. It is estimated that some 1 in 3 women and 1 in 5 men over the age of 50 will experience osteoporotic fractures,
Externí odkaz:
http://arxiv.org/abs/2410.10889
Autor:
Himeur, Yassine, Aburaed, Nour, Elharrouss, Omar, Varlamis, Iraklis, Atalla, Shadi, Mansoor, Wathiq, Ahmad, Hussain Al
With the ever-growing complexity of models in the field of remote sensing (RS), there is an increasing demand for solutions that balance model accuracy with computational efficiency. Knowledge distillation (KD) has emerged as a powerful tool to meet
Externí odkaz:
http://arxiv.org/abs/2409.12111
Autor:
Habchi, Yassine, Kheddar, Hamza, Himeur, Yassine, Boukabou, Abdelkrim, Atalla, Shadi, Mansoor, Wathiq, Al-Ahmad, Hussain
Many incurable diseases prevalent across global societies stem from various influences, including lifestyle choices, economic conditions, social factors, and genetics. Research predominantly focuses on these diseases due to their widespread nature, a
Externí odkaz:
http://arxiv.org/abs/2408.04318
Autor:
Sohail, Shahab Saquib, Himeur, Yassine, Kheddar, Hamza, Amira, Abbes, Fadli, Fodil, Atalla, Shadi, Copiaco, Abigail, Mansoor, Wathiq
The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of deep learning (DL). However, the latter faces various issues, including the lack of data or annotated data, the existence of a significant gap between training data
Externí odkaz:
http://arxiv.org/abs/2407.17877
Autor:
Ouamane, Abdelmalik, Chouchane, Ammar, Himeur, Yassine, Debilou, Abderrazak, Amira, Abbes, Atalla, Shadi, Mansoor, Wathiq, Ahmad, Hussain Al
Machine learning has revolutionized the field of agricultural science, particularly in the early detection and management of plant diseases, which are crucial for maintaining crop health and productivity. Leveraging advanced algorithms and imaging te
Externí odkaz:
http://arxiv.org/abs/2405.20058
Autor:
Habchi, Yassine, Kheddar, Hamza, Himeur, Yassine, Boukabou, Abdelkrim, Chouchane, Ammar, Ouamane, Abdelmalik, Atalla, Shadi, Mansoor, Wathiq
The growing interest in developing smart diagnostic systems to help medical experts process extensive data for treating incurable diseases has been notable. In particular, the challenge of identifying thyroid cancer (TC) has seen progress with the us
Externí odkaz:
http://arxiv.org/abs/2403.13843
Autor:
Belabbaci, El Ouanas, Khammari, Mohammed, Chouchane, Ammar, Bessaoudi, Mohcene, Ouamane, Abdelmalik, Himeur, Yassine, Atalla, Shadi, Mansoor, Wathiq
The challenge of kinship verification from facial images represents a cutting-edge and formidable frontier in the realms of pattern recognition and computer vision. This area of study holds a myriad of potential applications, spanning from image anno
Externí odkaz:
http://arxiv.org/abs/2312.03562
Autor:
Farrelly, Colleen, Singh, Yashbir, Hathaway, Quincy A., Carlsson, Gunnar, Choudhary, Ashok, Paul, Rahul, Doretto, Gianfranco, Himeur, Yassine, Atalls, Shadi, Mansoor, Wathiq
Institutional bias can impact patient outcomes, educational attainment, and legal system navigation. Written records often reflect bias, and once bias is identified; it is possible to refer individuals for training to reduce bias. Many machine learni
Externí odkaz:
http://arxiv.org/abs/2311.13495
Autor:
Telli, Khaled, Kraa, Okba, Himeur, Yassine, Boumehraz, Mohamed, Atalla, Shadi, Mansoor, Wathiq, Ouamane, Abdelmalik
This research paper delves into the field of quadrotor dynamics, which are famous by their nonlinearity, under-actuation, and multivariable nature. Due to the critical need for precise modeling and control in this context we explore the capabilities
Externí odkaz:
http://arxiv.org/abs/2311.03985
Autor:
Habchi, Yassine, Himeur, Yassine, Kheddar, Hamza, Boukabou, Abdelkrim, Atalla, Shadi, Chouchane, Ammar, Ouamane, Abdelmalik, Mansoor, Wathiq
There has been a growing interest in creating intelligent diagnostic systems to assist medical professionals in analyzing and processing big data for the treatment of incurable diseases. One of the key challenges in this field is detecting thyroid ca
Externí odkaz:
http://arxiv.org/abs/2308.13592