Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Yasir A. Muhammad"'
Autor:
Aliyu S. Ado, Ismaila Ahmed, Sadisu F. Umar, Zakari N. Lambu, Musa Haruna, Sabo Adamu, Adamu A. Shehu, Yasir A. Muhammad, Usman Ahmed, Haruna H. Babaji
Publikováno v:
The Proceedings of the Nigerian Academy of Science, Vol 15, Iss 1, Pp 4-15 (2022)
Spices that are mostly of plant origin are used in the preparation of almost all processed food to enhance palatability, tastiness, sweetness, and its overall acceptability, without taking into consideration of its medicinal values. The study was con
Externí odkaz:
https://doaj.org/article/bc02086ef86c4b3b869d55577041de74
Due to popularization of internet and e-commerce, more and more people getting involved in online shopping market. A large number of companies have been transferred to the internet where online customers have been increased due to easy access. The on
Externí odkaz:
http://arxiv.org/abs/2406.15498
Autor:
Yasir, Siddiqui Muhammad, Ahn, Hyunsik
Deep learning has been constantly improving in recent years and a significant number of researchers have devoted themselves to the research of defect detection algorithms. Detection and recognition of small and complex targets is still a problem that
Externí odkaz:
http://arxiv.org/abs/2406.14582
Recently, outstanding identification rates in image classification tasks were achieved by convolutional neural networks (CNNs). to use such skills, selective CNNs trained on a dataset of well-known images of metal surface defects captured with an RGB
Externí odkaz:
http://arxiv.org/abs/2406.14583
3D object recognition is a challenging task for intelligent and robot systems in industrial and home indoor environments. It is critical for such systems to recognize and segment the 3D object instances that they encounter on a frequent basis. The co
Externí odkaz:
http://arxiv.org/abs/2406.14581
Autor:
Yasir, Siddiqui Muhammad, Ahn, Hyunsik
The process of segmenting point cloud data into several homogeneous areas with points in the same region having the same attributes is known as 3D segmentation. Segmentation is challenging with point cloud data due to substantial redundancy, fluctuat
Externí odkaz:
http://arxiv.org/abs/2406.13308
Autor:
Yasir, Siddiqui Muhammad, Ahn, Hyunsik
There are mostly two approaches to tackle trust management worldwide Strong and crisp and Soft and Social. We analyze the impact of integrated trust mechanism in three different e-commerce services. The trust aspect is a dormant element between poten
Externí odkaz:
http://arxiv.org/abs/2406.13299
Autor:
CH, Nadeem Jabbar, Saghir, Aqib, Meer, Ayaz Ahmad, Sahi, Salman Ahmad, Hassan, Bilal, Yasir, Siddiqui Muhammad
Deepfake is a generative deep learning algorithm that creates or changes facial features in a very realistic way making it hard to differentiate the real from the fake features It can be used to make movies look better as well as to spread false info
Externí odkaz:
http://arxiv.org/abs/2406.13295
The prediction of traffic congestion can serve a crucial role in making future decisions. Although many studies have been conducted regarding congestion, most of these could not cover all the important factors (e.g., weather conditions). We proposed
Externí odkaz:
http://arxiv.org/abs/2206.10983
Autor:
Yasir, Rafed Muhammad, Kabir, Ahmedul
Defect prediction is one of the most popular research topics due to its potential to minimize software quality assurance efforts. Existing approaches have examined defect prediction from various perspectives such as complexity and developer metrics.
Externí odkaz:
http://arxiv.org/abs/2206.10959