Achieving sustainability in heat drying processing: Leveraging artificial intelligence to maintain food quality and minimize carbon footprint
The food industry is a significant contributor to carbon emissions, impacting carbon footprint
(CF), specifically during the heat drying process. Conventional heat drying processes need …
(CF), specifically during the heat drying process. Conventional heat drying processes need …
Application of artificial intelligence for fraudulent banking operations recognition
B Mytnyk, O Tkachyk, N Shakhovska… - Big Data and Cognitive …, 2023 - mdpi.com
This study considers the task of applying artificial intelligence to recognize bank fraud. In
recent years, due to the COVID-19 pandemic, bank fraud has become even more common …
recent years, due to the COVID-19 pandemic, bank fraud has become even more common …
Computer-aided detection and classification of monkeypox and chickenpox lesion in human subjects using deep learning framework
Monkeypox is a zoonotic viral disease caused by the monkeypox virus. After its recent
outbreak, it has become clear that a rapid, accurate, and reliable diagnosis may help reduce …
outbreak, it has become clear that a rapid, accurate, and reliable diagnosis may help reduce …
A Review of Artificial Intelligence in Education
Nowadays, cognitive qualities such as learning, adaptation, and decision-making are
present in computers, robots, and other artificially modified objects. This was made possible …
present in computers, robots, and other artificially modified objects. This was made possible …
[HTML][HTML] Using deep neural networks coupled with principal component analysis for ore production forecasting at open-pit mines
Ore production is usually affected by multiple influencing inputs at open-pit mines.
Nevertheless, the complex nonlinear relationships between these inputs and ore production …
Nevertheless, the complex nonlinear relationships between these inputs and ore production …
Predictive modeling based on artificial neural networks for membrane fouling in a large pilot-scale anaerobic membrane bioreactor for treating real municipal …
T Wang, YY Li - Science of The Total Environment, 2024 - Elsevier
Membrane fouling is the primary obstacle to applying anaerobic membrane bioreactors
(AnMBRs) in municipal wastewater treatment. This issue holds critical significance as …
(AnMBRs) in municipal wastewater treatment. This issue holds critical significance as …
[HTML][HTML] Exploring machine learning to study and predict the chloride threshold level for carbon steel reinforcement
N Maamary, IG Ogunsanya - Cement and Concrete Composites, 2024 - Elsevier
Chloride-induced corrosion of steel reinforcing bar (rebar) is the primary cause of
deterioration in reinforced concrete structures, posing a significant infrastructure challenge …
deterioration in reinforced concrete structures, posing a significant infrastructure challenge …
Mathematical assessment of machine learning models used for brain tumor diagnosis
The brain is an intrinsic and complicated component of human anatomy. It is a collection of
connective tissues and nerve cells that regulate the principal actions of the entire body …
connective tissues and nerve cells that regulate the principal actions of the entire body …
Early prediction of gestational diabetes with parameter-tuned K-Nearest Neighbor Classifier
TA Assegie, T Suresh, R Purushothaman… - Journal of Robotics …, 2023 - journal.umy.ac.id
Diabetes is one of the quickly spreading chronic diseases causing health complications,
such as diabetes retinopathy, kidney failure, and cardiovascular disease. Recently, machine …
such as diabetes retinopathy, kidney failure, and cardiovascular disease. Recently, machine …
Evaluating the performance of deep learning frameworks for malaria parasite detection using microscopic images of peripheral blood smears
Malaria is a significant health concern in many third-world countries, especially for pregnant
women and young children. It accounted for about 229 million cases and 600,000 mortality …
women and young children. It accounted for about 229 million cases and 600,000 mortality …