A review of recent advances and applications of machine learning in tribology
In tribology, a considerable number of computational and experimental approaches to
understand the interfacial characteristics of material surfaces in motion and tribological …
understand the interfacial characteristics of material surfaces in motion and tribological …
Recent advances of bat-inspired algorithm, its versions and applications
Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …
Time series forecasting of COVID-19 transmission in Asia Pacific countries using deep neural networks
The novel human coronavirus disease COVID-19 has become the fifth documented
pandemic since the 1918 flu pandemic. COVID-19 was first reported in Wuhan, China, and …
pandemic since the 1918 flu pandemic. COVID-19 was first reported in Wuhan, China, and …
Botnet attack detection using local global best bat algorithm for industrial internet of things
A Alharbi, W Alosaimi, H Alyami, HT Rauf… - Electronics, 2021 - mdpi.com
The need for timely identification of Distributed Denial-of-Service (DDoS) attacks in the
Internet of Things (IoT) has become critical in minimizing security risks as the number of IoT …
Internet of Things (IoT) has become critical in minimizing security risks as the number of IoT …
Dilated semantic segmentation for breast ultrasonic lesion detection using parallel feature fusion
Breast cancer is becoming more dangerous by the day. The death rate in developing
countries is rapidly increasing. As a result, early detection of breast cancer is critical, leading …
countries is rapidly increasing. As a result, early detection of breast cancer is critical, leading …
AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays
Artificial intelligence (AI) has played a significant role in image analysis and feature
extraction, applied to detect and diagnose a wide range of chest-related diseases. Although …
extraction, applied to detect and diagnose a wide range of chest-related diseases. Although …
Dynamic group-based cooperative optimization algorithm
Several optimization problems from various types of applications have been efficiently
resolved using available meta-heuristic algorithms such as Particle Swarm Optimization and …
resolved using available meta-heuristic algorithms such as Particle Swarm Optimization and …
Hybrid deep-learning model to detect botnet attacks over internet of things environments
MY Alzahrani, AM Bamhdi - Soft Computing, 2022 - Springer
In recent years, the use of the internet of things (IoT) has increased dramatically, and
cybersecurity concerns have grown in tandem. Cybersecurity has become a major …
cybersecurity concerns have grown in tandem. Cybersecurity has become a major …
An enhanced adaptive bat algorithm for microgrid energy scheduling
Q Yang, N Dong, J Zhang - Energy, 2021 - Elsevier
Microgrid (MG) systems have been growing rapidly with increasing electric power
generation through small distributed generators (DGs) including renewable generation …
generation through small distributed generators (DGs) including renewable generation …
RETRACTED ARTICLE: Enhanced bat algorithm for COVID-19 short-term forecasting using optimized LSTM
The highly infectious COVID-19 critically affected the world that has stuck millions of citizens
in their homes to avoid possible spreading of the disease. Researchers in different fields are …
in their homes to avoid possible spreading of the disease. Researchers in different fields are …