Sparse attention with residual pyramidal depthwise separable convolutional based malware detection with optimization mechanism
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-76193-4
Abstract: Recent developments indicate that malware programs present a significant risk in the security and privacy of cloud systems. Existing research in malware detection encounters numerous significant challenges due to the constantly changing and advanced characteristics… read more here.
Keywords: malware; detection; malware detection; api calls ... See more keywords
Global Sparse Attention Mechanism Combined with Transformer for Fault Diagnosis of Satellite Power System
Sign Up to like & getrecommendations! Published in 2025 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ae26a0
Abstract: Fault diagnosis is essential for condition-based maintenance, directly impacting the reliability and safety of satellite power systems. The abundance of telemetry data enhances the performance of data-driven diagnostic methods. Transformer models address the limitation of… read more here.
Keywords: sparse attention; global sparse; attention; satellite power ... See more keywords
A Novel Lower Limb Motion Intention Recognition Model Using ConvNet With Prob-Sparse Attention
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3527015
Abstract: Motor imagery (MI)-electroencephalogram (EEG)-based brain-computer interfaces (BCIs) have emerged as transformative tools for enhancing clinical and real-life applications. Decoding MI-EEG signals to recognize lower limb motion intentions (LLMIs) is highly important for controlling lower limb… read more here.
Keywords: limb; sparse attention; lower limb; recognition ... See more keywords
Detecting Fine-Grained Airplanes in SAR Images With Sparse Attention-Guided Pyramid and Class-Balanced Data Augmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3208928
Abstract: Airplane detection in synthetic aperture radar (SAR) images has drawn much attention owing to the success of deep learning methods. However, the development of fine-grained airplane detection in SAR images is still in a dilemma… read more here.
Keywords: sparse attention; class; attention guided; fine grained ... See more keywords
RegionâAware Sparse Attention Network for Lane Detection
Sign Up to like & getrecommendations! Published in 2025 at "Computer Graphics Forum"
DOI: 10.1111/cgf.70246
Abstract: Lane detection is a fundamental task in intelligent driving systems. However, the slender and sparse structure of lanes, combined with the dominance of irrelevant background regions in road scenes, makes accurate lane localization particularly challenging,… read more here.
Keywords: lane detection; sparse attention; attention; network ... See more keywords
Sparse attention double-channel FCN network for numerical analysis tracheid features in larch
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.1079556
Abstract: Understanding the macro-mechanical behavior of wood at the micro-scale is of great significance for the design of cell-wall-like composite materials and pulp papermaking. In order to predict tracheid mechanical properties and analyze its relationship with… read more here.
Keywords: fcn; double channel; sparse attention; fcn network ... See more keywords