Results 1 to 10 of about 682 (168)

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

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

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

Enhancing security information and event management with W2V-BERT-based real-time threat detection [PDF]

Scientific Reports
The growing frequency and sophistication of cyber-attacks have revealed significant limitations in traditional detection systems, highlighting the need for advanced Cyber Threat Intelligence (CTI) solutions.
Salman Khan, Naqqash Dilshad, Nijad Ahmad, Salman A. AlQahtani   +3 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

Advancing sustainable construction through waste valorization using plastic aggregate and industrial slag [PDF]

Scientific Reports
To lower overall carbon emissions, this study investigates the viability of replacing cement and river sand with steel slag from electric arc furnaces and replacing coarse aggregate in concrete with plastic aggregate (PA).
Kavita Rani, Kasilingam Senthil, Amardeep Boora, Aditya Kumar Tiwary, Hussin Ahmad Hasrat   +4 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

Quantile Based Weighted Shrinkage Estimators in Ridge Regression Model

Engineering Reports
Ridge regression with shrinkage parameter “k” is used to cope with the multicollinearity among predictors. Several methods are available in literature for the estimation of the shrinkage parameter.
Muhammad Khan, Umair Khalil, Muhammad Suhail, Ataullah Muneeb   +3 more
doaj   +2 more sources