Deep and Shallow Learning Model-Based Sleep Apnea Diagnosis Systems: A Comprehensive Study
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3426928
Abstract: Sleep apnea (SA) is one of the most prevalent sleep-related problems, impacting more than 100 million people worldwide. A full-night Polysomnography (PSG) is an effective SA diagnosis strategy. However, it requires multiple wearable devices and… read more here.
Keywords: shallow learning; diagnosis; study; sleep apnea ... See more keywords
Maize-Field Extraction From Time-Series SAR Imagery Using Deep–Shallow Learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3600013
Abstract: Synthetic aperture radar’s (SARs) all-time, all-weather imaging capability has proven highly effective for crop extraction, especially for mapping maize fields. However, noise in SAR signals severely disrupts the integrity of temporal information, making it difficult… read more here.
Keywords: shallow learning; time; extraction; time series ... See more keywords
A robust intrusion detection system based on a shallow learning model and feature extraction techniques
Sign Up to like & getrecommendations! Published in 2024 at "PLOS ONE"
DOI: 10.1371/journal.pone.0295801
Abstract: The escalating prevalence of cybersecurity risks calls for a focused strategy in order to attain efficient resolutions. This study introduces a detection model that employs a tailored methodology integrating feature selection using SHAP values, a… read more here.
Keywords: shallow learning; detection; methodology; learning model ... See more keywords
Automated Cancer Diagnostics via Analysis of Optical and Chemical Images by Deep and Shallow Learning
Sign Up to like & getrecommendations! Published in 2022 at "Metabolites"
DOI: 10.3390/metabo12050455
Abstract: Optical microscopy has long been the gold standard to analyse tissue samples for the diagnostics of various diseases, such as cancer. The current diagnostic workflow is time-consuming and labour-intensive, and manual annotation by a qualified… read more here.
Keywords: shallow learning; pathology; analysis; cancer ... See more keywords