News

IEEE1d
Musical Instrument Classification Using Deep Learning CNN Models
Musical instrument recognition is the act of counting on machine learning or the application of signal processing to isolate and classify various musical instruments in an audio track. Such capability ...
IEEE1d
An automated early ischemic stroke detection system using CNN deep learning algorithm - IEEE Xplore
Over the past few years, stroke has been among the top ten causes of death in Taiwan. Stroke symptoms belong to an emergency condition, the sooner the patient is treated, the more chance the patient ...
IEEE1d
An Efficient Encoding Spectral Information in Hyperspectral Images for Transfer Learning of Mask R-CNN for Instance Segmentation of Tomato Sepals - IEEE Xplore
The most vulnerable parts of tomatoes are the tips of the sepals, which are the primary entry points for fungal spores. Their precise segmentation within hyperspectral images (HSIs) plays a pivotal ...
IEEE2d
Dynamic Semantic Compression for CNN Inference in Multi-Access Edge Computing: A Graph Reinforcement Learning-Based Autoencoder - IEEE Xplore
This paper studies the computational offloading of CNN inference in dynamic multi-access edge computing (MEC) networks. To address the uncertainties in communication time and edge servers’ available ...
IEEE2d
An Interpretable Brain Tumour Classification Approach using Machine Learning and CNN-based features - IEEE Xplore
Cancer, a disease that does not discriminate; impacting people from all walks of life. Numerous types of cancer affect humans, each with distinct characteristics and treatment approaches. One of the ...
IEEE2d
Deep CNN-Based Super-Resolution Using External and Internal Examples - IEEE Xplore
The external example-driven single image super-resolution (SISR) method that uses a deep convolutional neural network (CNN) has exhibited superior performance as compared to previously developed SISR ...
IEEE3d
Acoustic Based Bird Species Classification Using Deep Learning
This paper uses deep learning techniques to present a novel approach for acoustic-based bird species classification. Leveraging a dataset comprising 10,955 audio samples from six distinct bird species ...
IEEE4d
Review of Image Semantic Segmentation Research Based on Deep Learning - IEEE Xplore
Image semantic segmentation based on deep learning has made great progress in recent years. This paper summarizes the application and development of convolutional neural network (CNN), full ...
IEEE4d
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning - IEEE Xplore
Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural networks (CNNs). CNNs enable learning ...
IEEE4d
Learning From Noisy Labels With Deep Neural Networks: A Survey
Deep learning has achieved remarkable success in numerous domains with help from large amounts of big data. However, the quality of data labels is a concern because of the lack of high-quality labels ...
IEEE7d
A Dilated CNN Model for Image Classification - IEEE Xplore
The dilated convolution algorithm, which is widely used for image segmentation, is applied in the image classification field in this paper. In many traditional image classification algorithms, ...
IEEE7d
Deep Neural Networks for Spectrum Sensing: A Review
The performance of 6G networks can be enhanced by utilizing Deep Neural Networks (DNNs) to perform SS. This paper provides a detailed survey of several Deep Learning (DL) algorithms used for SS by ...