Federated reinforcement learning-driven multi-task optimization for robust and ethical edge internet of things security. [PDF]
Li Y, Wang H, Xu G.
europepmc +1 more source
ABSTRACT Zero‐day exploits remain challenging to detect because they often appear in unknown distributions of signatures and rules. The article entails a systematic review and cross‐sectional synthesis of four fundamental model families for identifying zero‐day intrusions, namely, convolutional neural networks (CNN), deep neural networks (DNN ...
Abdullah Al Siam +3 more
wiley +1 more source
Assessment of a VoIP steganalysis method based on statistical analysis and deep neural network. [PDF]
Moghadasi HA, Dehghani H.
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ABSTRACT Flood forecasting has undergone significant development over the past two decades, with researchers exploring a range of innovative approaches to quantify both the hazards and risks associated with flood events across a range of magnitudes and frequencies.
Amirali Davary +3 more
wiley +1 more source
Low-Overhead Learning: Quantized Shallow Neural Networks at the Service of Genetic Algorithm Optimization. [PDF]
Pizarro F +4 more
europepmc +1 more source
Phenotypic classification of opium poppy genotypes (Papaver somniferum L.) based on morpho-phenological traits. [PDF]
Özgen Y, Bayraktar N, Ozkan U.
europepmc +1 more source
High-Efficiency Lossy Source Coding Based on Multi-Layer Perceptron Neural Network. [PDF]
Wang Y +5 more
europepmc +1 more source
An Adaptive Compression Method for Lightweight AI Models of Edge Nodes in Customized Production. [PDF]
Jiang C, Hou M, Wang H.
europepmc +1 more source
EF-Feddr: communication-efficient federated learning with Douglas-Rachford splitting and error feedback. [PDF]
Xue J, Wang C.
europepmc +1 more source
Exploring the feasibility of real-time on-device ECG biometric classification using quantized neural networks. [PDF]
Berki M +5 more
europepmc +1 more source

