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Deep Convolution Neural Network to Improve Hand Motion Classification Performance Against Varying Orientation Using Electromyography Signal
High accuracy and fast computation time are essential in implementing hand gesture pattern recognition for prosthetic hand using electromyography...
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Convolution hierarchical deep-learning neural network (C-HiDeNN) with graphics processing unit (GPU) acceleration
We propose the Convolution Hierarchical Deep-learning Neural Network (C-HiDeNN) that can be tuned to have superior accuracy, higher smoothness, and...
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Time Synchronized Multivariate Regressive Convolution Deep Neural Network Model for Sinkhole Attack Detection in WSN
As a result of technological growth, WSNs enable creative practical solutions for anything from basic communication to sophisticated applications,...
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Convolution Hierarchical Deep-Learning Neural Network Tensor Decomposition (C-HiDeNN-TD) for high-resolution topology optimization
High-resolution structural topology optimization is extremely challenging due to a large number of degrees of freedom (DoFs). In this work, a...
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A multiscale dilated convolution and mixed-order attention-based deep neural network for monocular depth prediction
Recovering precise depth information from different scenes has become a popular subject in the semantic segmentation and virtual reality fields. This...
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Priority-based Multi-feature Vector Model Using Convolution Neural Network for Biometric Authentication
Many societal institutions have increased standards for the efficacy and dependability of identification systems in response to the ever-increasing...
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Arm Fracture Detection Using Deep Convolution Neural Network
Emergency medical professionals who lack subspecific musculoskeletal knowledge view emergency X-rays often out of need and wrong fractures represent...
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CIRNet: An Improved Lightweight Convolution Neural Network Architecture with Inverted Residuals for Universal Steganalysis
Steganalysis techniques play a crucial role in forensic investigation, aiding professionals in identifying digital images with unsafe content. This...
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Multimodal biomedical image retrieval and indexing system using handcrafted with deep convolution neural network features
The advances in biomedical imaging equipment have produced a massive amount of medical images that are generated by the different modalities....
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Music Source Separation with Deep Convolution Neural Network
Audio source separation is the way in which we separate the sound origin from the audio site. Music origin partition is very essential for various...
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Tackling over-smoothing in multi-label image classification using graphical convolution neural network
The importance of the graphical convolution network in multi-label classification has grown in recent years due to its label embedding representation...
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Histological Image Diagnosis of Breast Cancer Based on Multi-Attention Convolution Neural Network
Breast cancer is a serious and high morbidity disease in women, and it is the main cause of cancer death in China. However, getting tested and...
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Integrated encoder-decoder-based wide and deep convolution neural networks strategy for electricity theft arbitration
Integrating energy systems with information systems in smart grids offers a promising avenue for combating electricity theft by leveraging real-time...
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A Novel Approach for Premature Detection of Alzheimer’s Disease Using Convolutional Neural Network in Deep Learning Technique
Alzheimer's disease is a disease that causes cognitive impairment. There is no cure for Alzheimer's disease, but the progression can be slowed down...
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DCCAFN: deep convolution cascade attention fusion network based on imaging genomics for prediction survival analysis of lung cancer
Recently, lung cancer prediction based on imaging genomics has attracted great attention. However, such studies often have many challenges, such as...
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Speech Emotion Recognition Using Generative Adversarial Network and Deep Convolutional Neural Network
Speech emotion recognition (SER) has recently increased because of vast innovations in human–computer interaction and affective computing. In recent...
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Convolution Neural Network Bidirectional Long Short-Term Memory for Heartbeat Arrhythmia Classification
Arrhythmia is a heart condition that poses a severe threat to life and requires prompt medical attention. One of the challenges in detecting...
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EEG Emotion Recognition Using Convolution Neural Network
The recognition of human emotions is a groundbreaking development in artificial intelligence. For emotion recognition, a variety of machine learning...
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Application of Convolution Neural Network for Adaptive Traffic Controller System
This paper presents an adaptive traffic control system based on deep convolution neural network (DCNN) technique for a multimodal traffic...
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Image-Fused: improved Alzheimer’s disease diagnosis using efficient deep neural network
This paper presents an interactive study calibrated with an optimally trained network based on medical image analysis of Alzheimer disease (AD). In...
