Zobrazeno 1 - 10
of 28 294
pro vyhledávání: '"Jabbar, As"'
Autor:
Nezhad, Babak Jabbar
In this paper we pioneer an example, which shows that if we accept the Law of Excluded Middle, then we come into a paradox.
Externí odkaz:
http://arxiv.org/abs/2410.16925
Chest X-rays (X-ray images) have been proven to be effective for the diagnosis of chest diseases, including Pneumonia, Lung Opacity, and COVID-19. However, relying on traditional medical methods for diagnosis from X-ray images is prone to delays and
Externí odkaz:
http://arxiv.org/abs/2410.15437
Autor:
Elshaar, Mohssen E., Manaa, Zeyad M., Elbalshy, Mohammed R., Siddiqui, Abdul Jabbar, Abdallah, Ayman M.
Unmanned Aerial Vehicles (UAVs) are becoming more popular in various sectors, offering many benefits, yet introducing significant challenges to privacy and safety. This paper investigates state-of-the-art solutions for detecting and tracking quadroto
Externí odkaz:
http://arxiv.org/abs/2410.00285
Epoch extraction has become increasingly popular in recent years for speech analysis research because accurately detecting the location of the Epoch is crucial for analyzing speech signals. The Epoch, occurring at the instant of excitation in the voc
Externí odkaz:
http://arxiv.org/abs/2407.18447
Autor:
Jabbar, Abdul, Kazim, Jalil Ur-Rehman, Shawky, Mahmoud A., Imran, Muhammad Ali, Abbasi, Qammer, Ur-Rehman, Masood
This paper presents the design and comprehensive measurements of a compact high-gain 32 element planar antenna array covering the n257 (26.5-29.5 GHz) millimeter wave (mmWave) band. First an 8-element quasi-uniform linear array is designed using a se
Externí odkaz:
http://arxiv.org/abs/2407.09944
Through comprehensive data analysis, we demonstrate that a ${\chi}^{(2)}$-induced artifact, arising from imperfect balancing in the conventional electro-optic sampling (EOS) detection scheme, contributes significantly to the measured signal in 2D Ram
Externí odkaz:
http://arxiv.org/abs/2407.09243
Autor:
Jabbar, Abdul, Jalil, Syed Qaisar
This study evaluates the performance of 41 machine learning models, including 21 classifiers and 20 regressors, in predicting Bitcoin prices for algorithmic trading. By examining these models under various market conditions, we highlight their accura
Externí odkaz:
http://arxiv.org/abs/2407.18334
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
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
Brain tumor segmentation is a critical task in medical image analysis, aiding in the diagnosis and treatment planning of brain tumor patients. The importance of automated and accurate brain tumor segmentation cannot be overstated. It enables medical
Externí odkaz:
http://arxiv.org/abs/2405.13304