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pro vyhledávání: '"Khan, M A"'
Deep learning is popularly used for analyzing pathology images, but variations in image properties can limit the effectiveness of the models. The study aims to develop a method that transfers the variability present in the training set to unseen imag
Externí odkaz:
http://arxiv.org/abs/2409.06742
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
The available software to study the spectroscopic characteristics of atoms, ions, and molecules runs on a server, e.g., the general-purpose atomic structure package (GRASP) and R-matrix method. A Python program has been developed to compute Transitio
Externí odkaz:
http://arxiv.org/abs/2405.19663
A novel material consisting of a monolayer of C$_{60}$ buckyballs with hexagonal symmetry has recently been observed experimentally, named graphullerene. In this study, we present a comprehensive \textit{ab-initio} theoretical analysis of the electro
Externí odkaz:
http://arxiv.org/abs/2405.16743
Autor:
Koussour, M., Errehymy, Abdelghani, Donmez, O., Myrzakulov, K., Khan, M. A., Çil, B., Güdekli, E.
In this study, we investigate the role of bulk viscosity in $f(Q,T)$ gravity in explaining late-time cosmic acceleration. This model, an extension of symmetric teleparallel gravity, introduces viscosity into cosmic matter dynamics for a more realisti
Externí odkaz:
http://arxiv.org/abs/2405.07251
The exponential growth in the number of Internet of Things (IoT) devices has seen the introduction of several Lightweight Encryption Algorithms (LEA). While LEAs are designed to enhance the integrity, privacy and security of data collected and transm
Externí odkaz:
http://arxiv.org/abs/2405.04735
Rapid growth in the number of small sensor devices known as the Internet of Things (IoT) has seen the development of lightweight encryption algorithms. Two well-known lightweight algorithms are SIMON and SIMECK which have been specifically designed f
Externí odkaz:
http://arxiv.org/abs/2404.08165
Autor:
Khan, M. Jaleed, Duta, Ioana, Albert, Beth, Cooke, William, Vatish, Manu, Jones, Gabriel Davis
The rapid advancement of Artificial Intelligence (AI) in healthcare presents a unique opportunity for advancements in obstetric care, particularly through the analysis of cardiotocography (CTG) for fetal monitoring. However, the effectiveness of such
Externí odkaz:
http://arxiv.org/abs/2404.08024
In the expanding field of the Internet of Things (IoT), wireless channel estimation is a significant challenge. This is specifically true for low-power IoT (LP-IoT) communication, where efficiency and accuracy are extremely important. This research e
Externí odkaz:
http://arxiv.org/abs/2404.15337
Autor:
Witherow, Megan A., Diawara, Norou, Keener, Janice, Harrington, John W., Iftekharuddin, Khan M.
Purpose: Facial expression production and perception in autism spectrum disorder (ASD) suggest potential presence of behavioral biomarkers that may stratify individuals on the spectrum into prognostic or treatment subgroups. Construct validity and gr
Externí odkaz:
http://arxiv.org/abs/2404.16040