Results 201 to 210 of about 1,185,392 (332)

Comprehensive analysis of security threats and privacy issues in indoor localization systems. [PDF]

Sci Rep
Ayub A, Abidin ZZ, Alhammadi A, Khan MA, Soliman NF, Ghazali NB, Algarni AD.   +6 more
europepmc   +1 more source

Advancing Extracellular Vesicle Research: A Review of Systems Biology and Multiomics Perspectives

PROTEOMICS, EarlyView.
ABSTRACT Extracellular vesicles (EVs) are membrane‐bound vesicles secreted by various cell types into the extracellular space and play a role in intercellular communication. Their molecular cargo varies depending on the cell of origin and its functional state.
Gloria Kemunto, Samaneh Ghadami, Kristen Dellinger   +2 more
wiley   +1 more source

Bearing Anomaly Detection Method Based on Multimodal Fusion and Self-Adversarial Learning. [PDF]

Sensors (Basel)
Liu H, Qin Y, Tu D.
europepmc   +1 more source

Gradient Descent Framework: Trauma as Adversarial Training Conditions—Machine Learning Models for Developmental Psychology

Murad Farzulla
openalex   +1 more source

Adversarial and Secure Machine Learning

, 2017
We present the state-of-art study of a recent emerging research area named as Adversarial Machine Learning, it investigates the vulnerabilities of current learning algorithms from the perspective of an adversary. We show that several state-of-art learning systems are intrinsically vulnerable under carefully designed adversarial attacks.
openaire   +1 more source

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

Hybrid framework for image forgery detection and robustness against adversarial attacks using vision transformer and SVM. [PDF]

Sci Rep
Abdelmaksoud M, Youssef B, Wassif K, A El-Khoribi R.   +3 more
europepmc   +1 more source

A Mini Review on Evolution of High‐Entropy Alloy Design: From Experimental Approaches to Machine Learning Integration

Rare Metals, EarlyView.
ABSTRACT High‐entropy alloys (HEAs) have emerged as a transformative class of materials distinguished by their complex chemical compositions, unique microstructures, and remarkable mechanical and functional properties. Traditionally, the discovery and optimization of HEAs have relied on conventional methods, including trial‐and‐error experimentation ...
Chrispin Ouko Zamzu, Zhe Jia, Baolong Shen   +2 more
wiley   +1 more source

Evaluation and improvement of algorithmic fairness for COVID-19 severity classification using Explainable Artificial Intelligence-based bias mitigation. [PDF]

JAMIA Open
Nejadshamsi S, H Chu C, McGilton KS, Li X, Ronquillo C, Abbasgholizadeh-Rahimi S.   +5 more
europepmc   +1 more source

Leveraging AI and machine learning for threat detection and adversarial defense in U.S. cybersecurity

Grace A. Durotolu
openalex   +1 more source