Trends in digital image processing of isolated microalgae by incorporating classification algorithm
Identification of microalgae species is of importance due to the uprising of harmful algae
blooms affecting both the aquatic habitat and human health. Despite this occurence …
blooms affecting both the aquatic habitat and human health. Despite this occurence …
Machine learning based solar photovoltaic power forecasting: a review and comparison
J Gaboitaolelwe, AM Zungeru, A Yahya… - IEEE …, 2023 - ieeexplore.ieee.org
The growing interest in renewable energy and the falling prices of solar panels place solar
electricity in a favourable position for adoption. However, the high-rate adoption of …
electricity in a favourable position for adoption. However, the high-rate adoption of …
[HTML][HTML] Diagnosis of grape leaf diseases using automatic K-means clustering and machine learning
Plant diseases often reduce crop yield and product quality; therefore, plant disease
diagnosis plays a vital role in farmers' management decisions. Visual crop inspections by …
diagnosis plays a vital role in farmers' management decisions. Visual crop inspections by …
An empirical study of handcrafted and dense feature extraction techniques for lung and colon cancer classification from histopathological images
According to a 2020 WHO report, cancer is one of the main causes of deaths worldwide.
Among these deaths, lung and colon cancer collectively responsible for nearly 2.735 million …
Among these deaths, lung and colon cancer collectively responsible for nearly 2.735 million …
Artificial intelligence-based approach for atrial fibrillation detection using normalised and short-duration time-frequency ECG
Atrial fibrillation (Afib) is a heart arrhythmia that is linked to a number of other cardiac-related
issues. The incidence of Afib increases with age, causing high risks of stroke. Accurate and …
issues. The incidence of Afib increases with age, causing high risks of stroke. Accurate and …
A Review of Reliability and Fault Analysis Methods for Heavy Equipment and Their Components Used in Mining
P Odeyar, DB Apel, R Hall, B Zon, K Skrzypkowski - Energies, 2022 - mdpi.com
To achieve a targeted production level in mining industries, all machine systems and their
subsystems must perform efficiently and be reliable during their lifetime. Implications of …
subsystems must perform efficiently and be reliable during their lifetime. Implications of …
Identifying COVID-19 by using spectral analysis of cough recordings: a distinctive classification study
N Melek Manshouri - Cognitive neurodynamics, 2022 - Springer
Sound signals from the respiratory system are largely taken as tokens of human health.
Early diagnosis of respiratory tract diseases is of great importance because, if delayed, it …
Early diagnosis of respiratory tract diseases is of great importance because, if delayed, it …
Evaluation and mapping of predicted future land use changes using hybrid models in a coastal area
Future prediction modeling of land use/land cover (LULC) is crucial for coastal regions due
to unique challenges and vulnerabilities associated with these areas. This research aims to …
to unique challenges and vulnerabilities associated with these areas. This research aims to …
Viscosity prediction using image processing and supervised learning
M Caponi, A Cox, S Misra - Fuel, 2023 - Elsevier
The paper implements image processing followed by supervised learning to predict the
viscosity of hydrocarbon present at a specific reservoir depth in a heavy oil reservoir located …
viscosity of hydrocarbon present at a specific reservoir depth in a heavy oil reservoir located …
A visual cryptography-based watermarking approach for the detection and localization of image forgery
The usage of images in different fields has increased dramatically, especially in medical
image analysis and social media. Many risks can threaten the integrity and confidentiality of …
image analysis and social media. Many risks can threaten the integrity and confidentiality of …