Automatic modulation classification using ResNeXt-GRU with deep feature fusion
With the integrated design and application of radar, communication, and electronic
reconnaissance, automatic modulation classification (AMC) is becoming increasingly …
reconnaissance, automatic modulation classification (AMC) is becoming increasingly …
Multimodal fusion approach based on EEG and EMG signals for lower limb movement recognition
In this study, the fusion of cortical and muscular activities based on discriminant correlation
analysis DCA) is developed to recognize bilateral lower limb movements. Electromyography …
analysis DCA) is developed to recognize bilateral lower limb movements. Electromyography …
Research of Low‐Rank Representation and Discriminant Correlation Analysis for Alzheimer's Disease Diagnosis
Z Li, A Dong, J Zhou - Computational and Mathematical …, 2020 - Wiley Online Library
As population aging is becoming more common worldwide, applying artificial intelligence
into the diagnosis of Alzheimer's disease (AD) is critical to improve the diagnostic level in …
into the diagnosis of Alzheimer's disease (AD) is critical to improve the diagnostic level in …
ADHD children identification with multiview feature fusion of fNIRS signals
Attention-deficit/hyperactivity disorder (ADHD) is one of highly prevalent
neurodevelopmental disorders in children. It is of great value to find an objective, simple and …
neurodevelopmental disorders in children. It is of great value to find an objective, simple and …
多尺度特征DCA 融合的海上船舶检测算法研究.
潘慧, 段先华, 罗斌强 - Journal of Computer Engineering & …, 2022 - search.ebscohost.com
为了加强海上交通的安全性, 以常见的民用船和军用船为研究对象, 针对原始YOLOV3
算法在船舶数据集上检测精度不高, 目标框出现误检和小目标漏检的问题 …
算法在船舶数据集上检测精度不高, 目标框出现误检和小目标漏检的问题 …
Mining sufficient knowledge via progressive feature fusion for efficient material recognition
H Zhang, Q Xiong, H Shi, W Liang… - Scientific …, 2021 - Wiley Online Library
Material images are susceptible to changes, depending on the light intensity, visual angle,
shooting distance, and other conditions. Feature learning has shown great potential for …
shooting distance, and other conditions. Feature learning has shown great potential for …
Measuring the Binary Interestingness of Images: A Unified Prediction Framework Combining Discriminant Correlation Analysis and Multiple Kernel Learning
Q Sun, L Wang, M Li, L Zhang, J Li… - Proceedings of the 2021 …, 2021 - dl.acm.org
In the modern content-based image retrieval systems, there is an increasingly interest in
constructing a computationally effective model to measure the interestingness of images …
constructing a computationally effective model to measure the interestingness of images …
Face-palm print recognition system based on 2d circular wavelet Filter and contourlet transformation
Z Talal, AM Alkababji - Journal of Optimization and Decision Making, 2023 - dergipark.org.tr
The study proposes a multimodal biometric design that combines face and palm print
recognition modules. To extract the features from the face data set, we proposed a novel 2-D …
recognition modules. To extract the features from the face data set, we proposed a novel 2-D …
A unified framework of predicting binary interestingness of images based on discriminant correlation analysis and multiple kernel learning
Q Sun, L Wang, M Li, L Zhang, Y Yang - arXiv preprint arXiv:1910.05996, 2019 - arxiv.org
In the modern content-based image retrieval systems, there is an increasingly interest in
constructing a computationally effective model to predict the interestingness of images since …
constructing a computationally effective model to predict the interestingness of images since …