IEEE

Underwater Marine Debris Detection: A Lightweight CNN-Based Binary Classifier

Abstract: Marine debris poses a significant threat to aquatic ecosystems, with underwater garbage detection emerging as a critical challenge for environmental protection. This paper presents a ...
IEEE

FPGA Implementation of CNN-Based Pulmonary Disease Classifier for Low-Cost Diagnostic Platforms

Abstract: The paper introduces the design and FPGA implementation of a convolutional neural network (CNN)-based, low-cost and low-energy diagnostic platform that classifies pulmonary diseases. The ...
IEEE

Joint Optimization of CycleGAN and CNN Classifier for COVID-19 Detection and Biomarker Localization

Abstract: The COVID-19 has caused mass casualties due to its rapid spread and lack of vaccines. Pathological lesions in lungs caused by COVID-19 is the main symptom which are easier to be detected ...
GitHub

Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network

Overview (Ver 2.) This is a tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image ...
Frontiers

Transferable CNN-based data mining approaches for medical imaging: application to spine DXA scans for osteoporosis detection

Introduction: Osteoporosis is the leading cause of sudden bone fractures. This is a silent and deadly disease that can affect any part of the body, such as the spine, hips, and knee bones. Aim: To ...
IEEE

Accurate Simulation Pipeline for Passive Single-Photon Imaging

Abstract: Single-Photon Avalanche Diodes (SPADs) are new and promising imaging sensors. These sensors are sensitive enough to detect individual photons hitting each pixel, with extreme temporal ...
IEEE

A comparative analysis of Alzheimer’s Disease by Pre-Trained CNN Classifiers using Two Palnes of MRI Images

Abstract: Alzheimer’s Disease (AD) is a progressive neurological disorder that leads to significant deterioration in cognitive functions and memory. AD is accompanied by many symptoms like memory loss ...
IEEE

Fuzzy Integral-Based CNN Classifier Fusion for 3D Skeleton Action Recognition

Abstract: Action recognition based on skeleton key joints has gained popularity due to its cost effectiveness and low complexity. Existing Convolutional Neural Network (CNN) based models mostly fail ...
IEEE

An Explainable Hybrid Deep Learning Framework for Network Intrusion Detection Using Feature-Guided CNN Models

Abstract: Cybersecurity risks have evolved in the linked digital terrain of today into more complex, frequent, and varied forms. Conventional intrusion detection systems sometimes find it difficult to ...
IEEE

Alcoholic EEG Signal Feature Extraction Based on Relative Wavelet Bispectrum and Bispectrum-Gaussian Using CNN and ANN Classifier

Abstract: A person who is addicted to alcohol is most likely to have problems related to health and brain function, such as in doing cognitive tasks. Thus, detecting the alcoholic condition is ...