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
Coevolutionary Neural Dynamics With Learnable Parameters for Nonconvex Optimisation
ABSTRACT Nonconvex optimisation plays a crucial role in science and industry. However, existing methods often encounter local optima or provide inferior solutions when solving nonconvex optimisation problems, lacking robustness in noise scenarios. To address these limitations, we aim to develop a robust, efficient and globally convergent solver for ...
Yipiao Chen +3 more
wiley +1 more source
Modified Meta Heuristic BAT with ML Classifiers for Detection of Autism Spectrum Disorder. [PDF]
Sha M, Alqahtani A, Alsubai S, Dutta AK.
europepmc +1 more source
A Universal Meta‐Heuristic Framework for Influence Maximisation in Hypergraphs
ABSTRACT Influence maximisation (IM) aims to select a small number of nodes that are able to maximise their influence in a network and covers a wide range of applications. Despite numerous attempts to provide effective solutions in simple networks, higher‐order interactions between entities in various real‐world systems are usually not taken into ...
Ming Xie +5 more
wiley +1 more source
Meta-Heuristic Device-Free Localization Algorithm under Multiple Path Effect. [PDF]
Li H, Li N, Guo Y, Yuan H, Lei B.
europepmc +1 more source
Building Blocks as Experiences in Dynamic Capacitated Arc Routing Problems
ABSTRACT The dynamic capacitated arc routing problem (DCARP) aims to update the service paths of vehicles in the capacitated arc routing problem when uncertain factors deteriorate the current schedule of vehicles' services. A DCARP scenario comprises a series of DCARP instances that share similarities with each other. Therefore, optimisation experience
Hao Tong +4 more
wiley +1 more source
News dissemination prediction based on meta heuristic optimization fuzzy algorithm
The rapid growth of online platforms and social media has significantly changed how news is disseminated, creating challenges in predicting its reach and impact due to dynamic user behavior and unstructured information flow.
Dandan Zhao
doaj +1 more source
Dynamic System Stability Modeling Approach with Sparrow-Inspired Meta-Heuristic Optimization Algorithm. [PDF]
Xia T, Zhang M, Wang S.
europepmc +1 more source
Parametric Optimization of Torsional Parameters of Ferrocement "U" Wrapped Beams Using Recent Meta-Heuristic Optimization Algorithms. [PDF]
Behera GC +4 more
europepmc +1 more source
AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach. [PDF]
Chatterjee A +3 more
europepmc +1 more source

