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An efficient approach for textual data classification using deep learning
(
Frontiers
, 2022 , Article)
Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset ...
Differentiation and classification of bacterial endotoxins based on surface enhanced Raman scattering and advanced machine learning
(
Royal Society of Chemistry
, 2022 , Article)
Bacterial endotoxin, a major component of the Gram-negative bacterial outer membrane leaflet, is a lipopolysaccharide shed from bacteria during their growth and infection and can be utilized as a biomarker for bacterial ...
Household Electricity Consumer Classification Using Novel Clustering Approach, Review, and Case Study
(
MDPI
, 2022 , Article)
There is an increasing demand for electricity on a global level. Thus, the utility companies are looking for the effective implementation of demand response management (DRM). For this, utility companies should know the ...
A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges
(
IEEE
, 2022 , Article)
5G communication brings substantial improvements in the quality of service provided to various applications by achieving higher throughput and lower latency. However, interactive multimedia applications (e.g., ultra high ...
Automated quantification of penile curvature using artificial intelligence
(
Frontiers Media S.A.
, 2022 , Article)
Objective: To develop and validate an artificial intelligence (AI)-based algorithm for capturing automated measurements of Penile curvature (PC) based on 2-dimensional images.
Materials and methods: Nine 3D-printed ...
Prognostic Model of ICU Admission Risk in Patients with COVID-19 Infection Using Machine Learning
(
MDPI
, 2022 , Article)
With the onset of the COVID-19 pandemic, the number of critically sick patients in intensive care units (ICUs) has increased worldwide, putting a burden on ICUs. Early prediction of ICU requirement is crucial for efficient ...
A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images
(
MDPI
, 2022 , Article)
Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated to a high index of mortality. One of its major complications is diabetic foot, leading to plantar ulcers, amputation, and death. ...
Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning
(
MDPI
, 2022 , Article)
Cardiovascular diseases (CVD) are the leading cause of death worldwide. People affected by CVDs may go undiagnosed until the occurrence of a serious heart failure event such as stroke, heart attack, and myocardial infraction. ...
Machine Learning-Based Diabetic Neuropathy and Previous Foot Ulceration Patients Detection Using Electromyography and Ground Reaction Forces during Gait
(
MDPI
, 2022 , Article)
Diabetic neuropathy (DN) is one of the prevalent forms of neuropathy that involves alterations in biomechanical changes in the human gait. Diabetic foot ulceration (DFU) is one of the pervasive types of complications that ...
Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal
(
MDPI
, 2022 , Article)
Respiratory ailments are a very serious health issue and can be life-threatening, especially for patients with COVID. Respiration rate (RR) is a very important vital health indicator for patients. Any abnormality in this ...