[HTML][HTML] Enhanced data mining and visualization of sensory-graph-Modeled datasets through summarization
The acquisition, processing, mining, and visualization of sensory data for knowledge
discovery and decision support has recently been a popular area of research and …
discovery and decision support has recently been a popular area of research and …
Network anomaly detection and security defense technology based on machine learning: A review
R Liu, J Shi, X Chen, C Lu - Computers and Electrical Engineering, 2024 - Elsevier
Robust solutions are essential for protecting complex network systems in the constantly
changing cybersecurity scenario. This investigation examines the role of machine learning …
changing cybersecurity scenario. This investigation examines the role of machine learning …
Vehicle recognition pipeline via DeepSort on aerial image datasets
Introduction Unmanned aerial vehicles (UAVs) are widely used in various computer vision
applications, especially in intelligent traffic monitoring, as they are agile and simplify …
applications, especially in intelligent traffic monitoring, as they are agile and simplify …
[HTML][HTML] Autonomous Underwater Glider: A Comprehensive Review
E Petritoli, F Leccese - Drones, 2024 - mdpi.com
A comprehensive review of Autonomous Underwater Gliders encompasses their
development, technological advancements, operational principles, and applications in …
development, technological advancements, operational principles, and applications in …
Computational modeling of the rectangular non-aligned multi-injector for efficient fuel mixing in a supersonic combustion chamber
P Zhang, Z Li, SA Abdollahi - Scientific Reports, 2024 - nature.com
The present investigation examines the usage of rectangular multi-injectors for fuel injection
in a supersonic combustion chamber. To evaluate the fuel jet penetration and distribution, a …
in a supersonic combustion chamber. To evaluate the fuel jet penetration and distribution, a …
A data-driven identification of runner flow patterns in a model pump-turbine by machine learning methods
X Zhang, Q Yang, Q Chen, R Chen - Journal of Energy Storage, 2024 - Elsevier
Reversible pump-turbines are the core component in most pumped storage power stations
worldwide; however, their performances are worst affected by the unstable hydraulic …
worldwide; however, their performances are worst affected by the unstable hydraulic …
Resource allocation using deep deterministic policy gradient-based federated learning for multi-access edge computing
Z Zhou, Q Wang, J Li, Z Li - Journal of Grid Computing, 2024 - Springer
The study focuses on utilizing the computational resources present in vehicles to enhance
the performance of multi-access edge computing (MEC) systems. While vehicles are …
the performance of multi-access edge computing (MEC) systems. While vehicles are …
Adaptive control strategy for microgrid inverters based on Narendra model
Q Wang, G Li, Z Chen, Z **g, Z Zhang - Scientific Reports, 2024 - nature.com
In recent years, microgrid technology has been widely studied and applied. However, with
times develo**, the installed capacity of distributed power generation devices has been …
times develo**, the installed capacity of distributed power generation devices has been …
[HTML][HTML] Advancing sustainable cooling: Performance analysis of a solar-driven thermoelectric refrigeration system for eco-friendly solutions
The solar-powered thermoelectric refrigerator (SPTR) is an innovative approach that uses
solar energy to cool spaces. Its effectiveness relies on solar insolation rates and an …
solar energy to cool spaces. Its effectiveness relies on solar insolation rates and an …
Selecting the foremost big data tool to optimize YouTube data in dynamic Fermatean fuzzy knowledge
Big data pertains to extensive and intricate compilations of information that necessitate the
implementation of proficient and cost-effective evaluation and analysis tools to derive …
implementation of proficient and cost-effective evaluation and analysis tools to derive …