Deep convolutional neural networks (DCNNs) have exhibited excellent feature extraction
and detail reconstruction capabilities for single image super-resolution (SISR) …

This paper is concerned with the problem of dual-channel event-triggered prescribed
performance adaptive fuzzy time-varying formation tracking control for multi-agent systems …

Corrosion is a significant issue that contributes negatively to the degradation of materials
most especially metals. To ensure proper maintenance, enhance reliability and prevent …

This paper presents a definition of a generalized cosine-based fuzzy set, its application into
simulation problems and uncertainty quantification in order to cover both aleatoric and …

Modern spectral analysis techniques are rapidly advancing, with Laser-induced breakdown
spectroscopy (LIBS) gaining attention for its revolutionary potential in analytical chemistry …

Abstract Continuous Unsupervised Domain Adaptation (CUDA) can alleviate deep learning
models' performance degradation on out-of-distribution data. However, low stability, the …

To overcome challenges posed by escalating environmental pollution and climate change,
the combined economic and emission dispatch problem is proposed to balance economic …

Resting-state functional magnetic resonance imaging (rs-fMRI) offers a non-invasive
approach to examining abnormal brain connectivity associated with brain disorders. Graph …

Speech emotion recognition (SER) plays a pivotal role in enhancing Human-computer
interaction (HCI) systems. This paper introduces a groundbreaking Capsule-enhanced …

As a promising field, Multi-Query Image Retrieval (MQIR) aims at searching for the
semantically relevant image given multiple region-specific text queries. Existing works …