Results 161 to 170 of about 96,540 (304)
This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor +5 more
wiley +1 more source
Symbolic scarcity and epistemic waste: a systems theory of academic publishing failure. [PDF]
Hansen T.
europepmc +1 more source
Philippines: Financial Soundness Indicators
openaire +2 more sources
Monetary aggregates in Pakistan: theoretical and empirical underpinnings [PDF]
The objective of this study is to analyze theoretical as well as empirical soundness of the current monetary aggregates (M2) and to propose a broader monetary aggregate (M3), by exploring the functional characteristics and empirical relevance of ...
Hussain, Fida, Khan, Mahmood ul Hasan
core +1 more source
This work proposes RT‐DETR‐DA, an enhanced real‐time detection framework for identifying distracted driving in complex, real‐world environments. The model introduces a dynamic sparse gating multiscale attention module and an attention‐guided dual‐path fusion module to strengthen multiscale perception and cross‐layer feature interaction.
Yi Liu +4 more
wiley +1 more source
Influence of colloidal nano silica on solidification mechanisms and hydration process of nano modified cement. [PDF]
Nouh A, Abou-Shady H, Abdel Rahman RO.
europepmc +1 more source
Overview of the proposed Gate‐Align‐SED, including two stages of training: (1) Mean‐Teacher SSL Training; and (2) Enhancer Model Training. In complex real‐world environments such as disaster monitoring, effective sound event detection (SED) is often hindered by the presence of noise and limited labeled data.
Jieli Chen +4 more
wiley +1 more source
Doppler Waveform Alterations of the Supratesticular Artery and Associated Semen Biomarkers in Infertile Male Dromedary Camels. [PDF]
Derar D +3 more
europepmc +1 more source
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna +2 more
wiley +1 more source

