Non-fragile H∞ control with randomly occurring gain variations, distributed delays and channel fadings [PDF]
, 2015 This study is concerned with the non-fragile H∞ control problem for a class of discrete-time systems subject to randomly occurring gain variations (ROGVs), channel fadings and infinite-distributed delays.
Ding, D, Li, Z, Shu, H, Wang, Z
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A Study on the Super Resolution Combining Spatial Attention and Channel Attention
Applied Sciences, 2023 Existing CNN-based super resolution methods have low emphasis on high-frequency features, resulting in poor performance for contours and textures. To solve this problem, this paper proposes single image super resolution using an attention mechanism that ...
Dongwoo Lee +4 more
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Facial Landmark Detection via Attention-Adaptive Deep Network
IEEE Access, 2019 Facial landmark detection is a key component of the face recognition pipeline as well as facial attribute analysis and face verification. Recently convolutional neural network-based face alignment methods have achieved significant improvement, but ...
Muhammad Sadiq +3 more
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A learnable EEG channel selection method for MI-BCI using efficient channel attention
Frontiers in Neuroscience, 2023 IntroductionDuring electroencephalography (EEG)-based motor imagery-brain-computer interfaces (MI-BCIs) task, a large number of electrodes are commonly used, and consume much computational resources. Therefore, channel selection is crucial while ensuring
Lina Tong +5 more
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Spectrum sharing security and attacks in CRNs: a review [PDF]
, 2014 Cognitive Radio plays a major part in communication technology by resolving the shortage of the spectrum through usage of dynamic spectrum access and artificial intelligence characteristics.
Alhakami, Wajdi +2 more
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EEG-Based Auditory Attention Detection via Frequency and Channel Neural Attention [PDF]
IEEE Transactions on Human-Machine Systems, 2022 10.1109/thms.2021.3125283 ; IEEE Transactions on Human-Machine ...
Siqi Cai +3 more
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ASCU-Net: Attention Gate, Spatial and Channel Attention U-Net for Skin Lesion Segmentation
Diagnostics, 2021 Segmentation of skin lesions is a challenging task because of the wide range of skin lesion shapes, sizes, colors, and texture types. In the past few years, deep learning networks such as U-Net have been successfully applied to medical image segmentation
Xiaozhong Tong +5 more
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Hydrodynamic and mass transfer in inertial gas–liquid flow regimes through straight and meandering millimetric square channels [PDF]
, 2011 Heat-exchanger reactors are an important part of process intensification technology. For plate geometries, one solution for intensifying transfer and increasing residence times is to construct two-dimensional meandering channels.
Cabassud, Michel +3 more
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Understanding the Fano Resonance : through Toy Models
, 2003 The Fano Resonance, involving the mixing between a quasi-bound `discrete' state of an inelastic channel lying in the continuum of scattering states belonging to the elastic channel, has several subtle features.
Binayak Dutta-Roy +3 more
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Densely Residual Network with Dual Attention for Hyperspectral Reconstruction from RGB Images
Remote Sensing, 2022 In the last several years, deep learning has been introduced to recover a hyperspectral image (HSI) from a single RGB image and demonstrated good performance. In particular, attention mechanisms have further strengthened discriminative features, but most
Lixia Wang +2 more
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