Results 21 to 30 of about 482,461 (254)
Adaptive secure malware efficient machine learning algorithm for healthcare data
Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed +8 more
wiley +1 more source
Adaptive System Identification using Markov Chain Monte Carlo
One of the major problems in adaptive filtering is the problem of system identification. It has been studied extensively due to its immense practical importance in a variety of fields. The underlying goal is to identify the impulse response of an unknown
Anjum, Muhammad Ali Raza
core +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Prevalence of pregnancy liver diseases in patients at National Medical Center “La Raza” IMSS.
Introduction and Objectives: There are physiological changes in the hepatobiliary system during pregnancy. However, there are also pregnancy-related liver diseases, which occur in up to 3% of all pregnancies and can have potentially serious consequences ...
Areli Torres-Castro +7 more
doaj +1 more source
Pulmonary involvement in patients with juvenile systemic sclerosis
Background: Pulmonary involvement in juvenile systemic sclerosis (JSSc) is rare in children and contributes to morbimortality. This study aimed to describe the pulmonary function and clinical, radiologic, and tomographic findings in JSSc.
Adriana I. Céspedes-Cruz +11 more
doaj +1 more source
A New Approach to Adaptive Signal Processing
A unified linear algebraic approach to adaptive signal processing (ASP) is presented. Starting from just Ax=b, key ASP algorithms are derived in a simple, systematic, and integrated manner without requiring any background knowledge to the field ...
Anjum, Muhammad Ali Raza
core +2 more sources
Rare‐Earth Yttrium Doping Advances High‐Performance AgSbTe2 Thermoelectrics
Y‐doped AgSbTe2 achieves band and microstructure co‐optimization, with coherent Y‐Ag2Te interfaces enhancing phonon scattering and reducing lattice thermal conductivity to 0.26 W m−1 K−1. Combined with valence‐band broadening and increased carrier concentration, this yields ZT ≈ 2 at 623 K, average ZT = 1.5, and 7.3 % conversion efficiency of a single ...
Lan Li +11 more
wiley +1 more source
Introduction and Objectives: : Hepatitis C virus (HCV) infection is a major cause of chronic liver disease, there are approximately 71 million infected individuals worldwide, up to 40% of them will have spontaneous resolution and60% will develop chronic ...
Areli Torres-Castro +7 more
doaj +1 more source
Conceptualising success and failure for social movements [PDF]
The paper discusses some of the most significant conceptions of success and failure present in the social movement literature, and highlights the gaps present in these theories.
Saeed, Raza
core
Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley +1 more source

