Research on the optimization of cold chain logistics distribution routes considering time-dependent networks and simultaneous pick-up and delivery from the perspective of sustainability. [PDF]
Liu Y, Hou J, Cai C.
europepmc +1 more source
Deviation‐Guided Attention for Semi‐Supervised Anomaly Detection With Contrastive Regularisation
ABSTRACT Anomaly detection (AD) aims to identify abnormal patterns that deviate from normal behaviour, playing a critical role in applications such as industrial inspection, medical imaging and autonomous driving. However, AD often faces a scarcity of labelled data. To address this challenge, we propose a novel semi‐supervised anomaly detection method,
Guanglei Xie +6 more
wiley +1 more source
Deep memory for deep threats: A novel architecture combining GRUs and deep learning models for IDS. [PDF]
Alqhatani A +5 more
europepmc +1 more source
AN ITERATIVE METHOD FOR VARIATIONAL INEQUALITIES WITH APPLICATION TO TRAFFIC EQUILIBRIUM PROBLEMS
T. Itoh, M. Fukushima, T. Ibaraki
semanticscholar +1 more source
MSFFNet: Multiscale Feature Fusion Network for Small Target Detection in Remote Sensing Images
ABSTRACT With the advancement of satellite remote sensing technology, object detection based on high‐resolution remote sensing imagery has emerged as a prominent research focus in the field of computer vision. Although numerous algorithms have been developed for remote sensing image object detection, they still suffer from challenges such as low ...
Hui Zong +5 more
wiley +1 more source
The invisible subsoil compaction risk under no-till farming. [PDF]
Keller T, Bickel S, Or D.
europepmc +1 more source
ABSTRACT Networked control systems (NCSs) often suffer from performance degradation due to limited communication bandwidth, which can cause data transmission conflicts and packet loss. Existing scheduling strategies may fail to simultaneously meet the real‐time requirements and the importance of multisensor data, and they are particularly vulnerable ...
Da Chen +5 more
wiley +1 more source
An improved quantum genetic algorithm with adaptive dynamic rotation for urban facility spatial optimization. [PDF]
Tian H, He Y.
europepmc +1 more source
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu +4 more
wiley +1 more source
Blockchain-based secure MEC model for VANETs using hybrid networks. [PDF]
Goud GV +5 more
europepmc +1 more source

