All Research Papers Published In Applied Soft Computing

Lightweight detection of small-target swarm using multiple scale feature fusion and dynamic task alignment

An exergy-related unsupervised domain adaptation broad learning system framework for fault diagnosis in multimode batch manufacturing processes

Adaptive multi-view subspace clustering with dynamic prior update

Weighted multi-output randomized neural networks with a feature memory pool for electroencephalogram signal classification

LESFuse: A lightweight dual-domain collaborative framework for high-fidelity visible-infrared image fusion

MGGL: A multi-grained graph learning model for EEG emotion recognition

A comprehensive approach employing interval-valued q-rung orthopair fuzzy data for multi-attribute group decision-making

MAGNet: A modality-aware gating network for multimodal depression detection and severity prediction

Quantum-enhanced recurrent models for cognitive–motor assessment

A survey on recent recurrent neural networks based intrusion detection systems