The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems

M Khaleel, E Yaghoubi, E Yaghoubi… - Int. J. Electr. Eng. and …, 2023 - ijees.org
The utilization of fossil fuels has played a substantial role in climate change and the
progression of global warming. Consequently, there is an increasing demand for …

[HTML][HTML] Diagnostic strategies for breast cancer detection: from image generation to classification strategies using artificial intelligence algorithms

JA Basurto-Hurtado, IA Cruz-Albarran… - Cancers, 2022 - mdpi.com
Simple Summary With the recent advances in the field of artificial intelligence, it has been
possible to develop robust and accurate methodologies that can deliver noticeable results in …

[HTML][HTML] ResNet-32 and FastAI for diagnoses of ductal carcinoma from 2D tissue slides

SP Praveen, PN Srinivasu, J Shafi, M Wozniak… - Scientific Reports, 2022 - nature.com
Carcinoma is a primary source of morbidity in women globally, with metastatic disease
accounting for most deaths. Its early discovery and diagnosis may significantly increase the …

[HTML][HTML] Landslide susceptibility mapping in a mountainous area using machine learning algorithms

H Shahabi, R Ahmadi, M Alizadeh, M Hashim… - Remote Sensing, 2023 - mdpi.com
Landslides are a dangerous natural hazard that can critically harm road infrastructure in
mountainous places, resulting in significant damage and fatalities. The primary purpose of …

Fuzzy-twin proximal SVM kernel-based deep learning neural network model for hyperspectral image classification

SL Krishna, IJS Jeya, SN Deepa - Neural Computing and Applications, 2022 - Springer
Hyperspectral imaging is highly important with respect to the detection, identification and
classification of various natural resources—minerals, earth's natural eruptions, vegetation …

[HTML][HTML] Fuzzy inference system with interpretable fuzzy rules: Advancing explainable artificial intelligence for disease diagnosis—A comprehensive review

J Cao, T Zhou, S Zhi, S Lam, G Ren, Y Zhang… - Information …, 2024 - Elsevier
Interpretable artificial intelligence (AI), also known as explainable AI, is indispensable in
establishing trustable AI for bench-to-bedside translation, with substantial implications for …

[HTML][HTML] Potential impact of PI3K-AKT signaling pathway genes, KLF-14, MDM4, miRNAs 27a, miRNA-196a genetic alterations in the predisposition and progression …

OR Alzahrani, R Mir, HE Alatwi, YM Hawsawi… - Cancers, 2023 - mdpi.com
Simple Summary The genomic landscape of breast cancer (BC) is complex. Previous
research studies have not extensively elucidated the correlation of genotypes and allele …

[HTML][HTML] Methodology of air traffic flow clustering and 3-D prediction of air traffic density in ATC sectors based on machine learning models

FP Moreno, VFG Comendador, RDA Jurado… - Expert Systems with …, 2023 - Elsevier
The increase in the demand for aircraft operations has caused the ATM system to become
overloaded as it no longer has sufficient capacity to respond to this increase in demand. For …

[HTML][HTML] Determination of air traffic complexity most influential parameters based on machine learning models

F Pérez Moreno, VF Gómez Comendador… - Symmetry, 2022 - mdpi.com
Today, aircraft demand is exceeding the capacity of the Air Traffic Control (ATC) system. As
a result, airspace is becoming a very complex environment to control. The complexity of …

Learning features using an optimized artificial neural network for breast cancer diagnosis

I AlShourbaji, P Kachare, W Zogaan… - SN Computer …, 2022 - Springer
Breast cancer (BC) has been one of the significant causes of death worldwide, and its early
detection can play a vital role in increasing the survival rate of this disease. This paper …