Results 1 to 10 of about 113 (94)

Predicting Breast Cancer Leveraging Supervised Machine Learning Techniques. [PDF]

Comput Math Methods Med, 2022
Breast cancer is one of the leading causes of increasing deaths in women worldwide. The complex nature (microcalcification and masses) of breast cancer cells makes it quite difficult for radiologists to diagnose it properly. Subsequently, various computer‐aided diagnosis (CAD) systems have previously been developed and are being used to aid ...
Aamir S, Rahim A, Aamir Z, Abbasi SF, Khan MS, Alhaisoni M, Khan MA, Khan K, Ahmad J.   +8 more
europepmc   +2 more sources

Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring. [PDF]

J Healthc Eng, 2022
With the advancement of camera and wireless technologies, surveillance camera‐based occupancy has received ample attention from the research community. However, camera‐based occupancy monitoring and wireless channels, especially Wi‐Fi hotspot, pose serious privacy concerns and cybersecurity threats.
Ghadi YY, Alsuhibany SA, Ahmad J, Kumar H, Boulila W, Alsaedi M, Khan K, Bhatti SA.   +7 more
europepmc   +2 more sources

A robust deep learning framework for RNA 5-methyluridine modification prediction using integrated features [PDF]

BMC Biology
Background The discovery of RNA 5-methyluridine (m5U) modifications is vital in computational biology due to their essential significance in different biological processes.
Naif Almusallam, Salman Khan, Fawaz Khaled Alarfaj, Nijad Ahmad   +3 more
doaj   +2 more sources

Genetic and Cultural Reconstruction of the Migration of an Ancient Lineage. [PDF]

Biomed Res Int, 2015
A rare R1a1 Y‐haplogroup (Y‐HG) L657 clade subtype designated as LPKSTR is found in most male members of a clan of “founder” families within the Goud Saraswat Brahmin community in Lotli town in Western India. TMRCA calculations using pairwise comparisons to control cohorts suggested a probable migration history distinct from the canonical narrative for
Mascarenhas DD, Raina A, Aston CE, Sanghera DK.   +3 more
europepmc   +2 more sources

Deep learning framework with interpretable feature selection for accurate SUMOylation site prediction [PDF]

Scientific Reports
Small ubiquitin-like modifiers (SUMOs) are crucial protein regulators influencing diverse biological processes through covalent modifications or non-covalent interactions.
Aasem N. Alyahya, Salman Khan, Naqqash Dilshad, Nijad Ahmad   +3 more
doaj   +2 more sources

N6-methyladenine identification using deep learning and discriminative feature integration [PDF]

BMC Medical Genomics
N6-methyladenine (6 mA) is a pivotal DNA modification that plays a crucial role in epigenetic regulation, gene expression, and various biological processes.
Salman Khan, Islam Uddin, Sumaiya Noor, Salman A. AlQahtani, Nijad Ahmad   +4 more
doaj   +2 more sources

PSSM-Sumo: deep learning based intelligent model for prediction of sumoylation sites using discriminative features [PDF]

BMC Bioinformatics
Post-translational modifications (PTMs) are fundamental to essential biological processes, exerting significant influence over gene expression, protein localization, stability, and genome replication. Sumoylation, a PTM involving the covalent addition of
Salman Khan, Salman A. AlQahtani, Sumaiya Noor, Nijad Ahmad   +3 more
doaj   +2 more sources

Integrating AI in security information and event management for real time cyber defense [PDF]

Scientific Reports
The increasing frequency and sophistication of cyber-attacks have exposed significant shortcomings in conventional detection systems, emphasizing the urgent need for more advanced Cyber Threat Intelligence (CTI) capabilities.
Salman Khan, Naqqash Dilshad, Nijad Ahmad, Sumaiya Noor, Salman A. AlQahtani   +4 more
doaj   +2 more sources

Range Based Robust Estimation of Biasing Parameter in Ridge Regression With Multicollinearity and Outliers

Engineering Reports
In the recent studies, a condition index based biasing parameter ‘k’ has been introduced by Dar et al. (2023) to overcome the problem of multicollinearity in ridge regression setting. The introduced estimator has better properties than conventional ridge
Muhammad Khan, Umair Khalil, Muhammad Suhail, Ataullah Muneeb, Ammara Nawaz Cheema   +4 more
doaj   +2 more sources

Deep-ProBind: binding protein prediction with transformer-based deep learning model [PDF]

BMC Bioinformatics
Binding proteins play a crucial role in biological systems by selectively interacting with specific molecules, such as DNA, RNA, or peptides, to regulate various cellular processes.
Salman Khan, Sumaiya Noor, Hamid Hussain Awan, Shehryar Iqbal, Salman A. AlQahtani, Naqqash Dilshad, Nijad Ahmad   +6 more
doaj   +2 more sources