M
Mohammed A. A. Al‐qaness
H指数:50
被引数:9,707
浏览量:0
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CNN-GRU-KAN: A Novel Multi-Branch Framework for Parkinson’s Disease Detection Based on Gait Classification
CNN-GRU-KAN:一种基于步态分类的帕金森病检测新型多分支框架
Bioengineering-Basel
IF3.7
IncepKAN: InceptionTime model and Kolmogorov Arnold network for multi-people activities, locations, and identities recognition based on WiFi signals
IncepKAN:基于WiFi信号的多人员活动、位置及身份识别的InceptionTime模型与Kolmogorov-Arnold网络
SG-DGCN: Semantic-Guided Dynamic Graph Convolutional Network for Skeleton-Based Gesture Recognition
SG-DGCN:基于语义引导的动态图卷积网络用于骨骼姿态识别
CRIME–ResNet: Chaotic RIME optimization algorithm and improved ResNet model for early Parkinson’s Disease detection using speech data
CRIME–ResNet:基于混沌RIME优化算法和改进ResNet模型的早期帕金森病检测语音数据方法
MASSANet: Multiscale adaptive spectral-spatial dual-path attention network for motor imagery decoding from EEG
MASSANet:用于从脑电图解码运动想象的多尺度自适应谱-空双路径注意力网络
Real-time soybean pest detection system integrating UAV and Jetson based on improved YOLO
基于改进YOLO的无人机与Jetson集成的大豆病虫害实时检测系统
Neural Networks
IF6.3
ECNN-CS: Efficient Convolutional Neural Network by Channel and Spatial Fusion for Hand Gesture Recognition Using sEMG Sensors
ECNN-CS:用于基于sEMG传感器的手部手势识别的通道与空间融合高效卷积神经网络
IEEE Sensors Journal
IF4.5
MDWD-KAN: Multilevel discrete wavelet decomposition with Kolmogorov–Arnold network for fall detection and activity recognition using wearable sensors
MDWD-KAN:基于可穿戴传感器的跌倒检测和活动识别的多级离散小波分解与Kolmogorov–Arnold网络
PTCVS-net: Patch-based transformer-CNN with variable sparse attention network for sEMG-based gesture recognition
PTCVS-net:基于补丁的变换器-CNN与可变稀疏注意力网络,用于基于sEMG的手势识别
DKD-MNet: Decoupled knowledge distillation and multimodal network for sEMG-based gesture recognition
DKD-MNet:解耦知识蒸馏和多模态网络用于基于sEMG的手势识别
Improving medical image classification based on Boosted Beluga Whale Optimizer with Triangular Mutation and Cross Vision transformer models
基于带有三角变异和交叉视觉Transformer模型的增强型白鲸优化器改进医学图像分类
Advanced epilepsy detection model using electroencephalography signals based on S-transform and ConvNeXt neural network
基于S变换和ConvNeXt神经网络的先进脑电图信号癫痫检测模型
Measurement
IF5.6

