Different applications of machine learning approaches in materials science and engineering: Comprehensive review
Y Cao, AT Nakhjiri, M Ghadiri - Engineering Applications of Artificial …, 2024 - Elsevier
Over the last decades, considerable advancements in artificial intelligence (AI) approaches
have eventuated in their extensive applications in all scientific scopes such as materials …
have eventuated in their extensive applications in all scientific scopes such as materials …
Artificial intelligence in nanotechnology for treatment of diseases
Nano-based drug delivery systems (DDSs) have demonstrated the ability to address
challenges posed by therapeutic agents, enhancing drug efficiency and reducing side …
challenges posed by therapeutic agents, enhancing drug efficiency and reducing side …
An optimal approach for heart sound classification using grid search in hyperparameter optimization of machine learning
Heart-sound auscultation is one of the most widely used approaches for detecting
cardiovascular disorders. Diagnosing abnormalities of heart sound using a stethoscope …
cardiovascular disorders. Diagnosing abnormalities of heart sound using a stethoscope …
Advances in antimicrobial peptide discovery via machine learning and delivery via nanotechnology
Antimicrobial peptides (AMPs) have been investigated for their potential use as an
alternative to antibiotics due to the increased demand for new antimicrobial agents. AMPs …
alternative to antibiotics due to the increased demand for new antimicrobial agents. AMPs …
[HTML][HTML] Efficient fault detection, localization, and isolation in MT-HVDC systems based on distance protection and LoRaWAN communication
AM Aboelezz, AA Eladl, MTA Amasha, MH Elderigi… - Energy Reports, 2023 - Elsevier
Abstract Multiterminal High-Voltage Direct Current (MT-HVDC) systems offer numerous
benefits compared to conventional alternating current (AC) power systems, including higher …
benefits compared to conventional alternating current (AC) power systems, including higher …
[HTML][HTML] A comprehensive review of potential protection methods for VSC multi-terminal HVDC systems
High voltage direct current (HVDC) transmission systems represent a significant
development for future power systems due to presenting promising solutions for long …
development for future power systems due to presenting promising solutions for long …
Machine learning solution for the security of wireless sensor network
Energy efficiency and safety are two essential factors that play a significant role in operating
a wireless sensor network. However, it is claimed that these two factors are naturally …
a wireless sensor network. However, it is claimed that these two factors are naturally …
IoT technology-based protection scheme for MT-HVDC transmission grids with restoration algorithm using support vector machine
This paper proposes a protection scheme for multi-terminal high voltage direct current (MT-
HVDC) transmission grids. The proposed scheme is based on three protection levels; di/dt …
HVDC) transmission grids. The proposed scheme is based on three protection levels; di/dt …
A comprehensive survey of HVDC protection system: fault analysis, methodology, issues, challenges, and future perspective
The extensive application of power transfer through high-voltage direct current (HVDC)
transmission links in smart grid scenarios is due to many factors such as high-power transfer …
transmission links in smart grid scenarios is due to many factors such as high-power transfer …
Diagnosis for slight bearing fault in induction motor based on combination of selective features and machine learning
H Nakamura, Y Mizuno - Energies, 2022 - mdpi.com
Induction motors are widely used in industry and are essential to industrial processes. The
faults in motors lead to high repair costs and cause financial losses resulting from …
faults in motors lead to high repair costs and cause financial losses resulting from …