IEEE

FPGA-Optimized Sleep Apnea Detector from ECG Sensor Data Using DWT and Wide Neural Networks

Abstract: Obstructive sleep apnea (OSA) is a widespread but underdiagnosed sleep disorder that necessitates accessible, real-time monitoring solutions, especially for resource-constrained environments ...
IEEE

Compression-Based Complexity Analysis of Thalamic EEG Using Multiscale Preprocessing Techniques

Abstract: Quantifying the complexity of biomedical signals offers critical insight into underlying physiological and pathological dynamics. This study systematically evaluates compression-based ...
Frontiers

Improving EEG classification of alcoholic and control subjects using DWT-CNN-BiGRU with various noise filtering techniques

Electroencephalogram (EEG) signal analysis plays a vital role in diagnosing and monitoring alcoholism, where accurate classification of individuals into alcoholic and control groups is essential.
University of Surrey

Dr Erick Giovani Sperandio Nascimento

Associate Professor (Reader) in AI for Clean Air and Programme Lead of AI and Sustainability He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in ...
C&EN

Highly Accurate and Robust Early Stage Detection of Cholangiocarcinoma Using Near-Lossless SERS Signal Processing with Machine Learning and 2D CNN for Point-of-care Mobile ...

College of Computing, Khon Kaen University, Khon Kaen 40002, Thailand Department of Computer Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand Department of ...
C&EN

Machine Learning Analysis of Raman Spectra To Quantify the Organic Constituents in Complex Organic–Mineral Mixtures

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The present study attempts to address these limitations by ...
Scientific Research Publishing

A Novel Lung Cancer Detection Method Using Wavelet Decomposition and Convolutional Neural Network ()

Computerized tomography (CT) scan is the only screening test recommended by doctors to look for lung cancer. Convolutional neural networks (CNNs) have recently proven their ability to successfully ...
Frontiers

Deep Convolutional Neural Network-Based Epileptic Electroencephalogram (EEG) Signal Classification

Electroencephalogram (EEG) signals contain vital information on the electrical activities of the brain and are widely used to aid epilepsy analysis. A challenging element of epilepsy diagnosis, ...