Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A hybrid model for predicting the energy dissipation on the block ramp hydraulic structures
Block ramps are among the environmentally friendly hydraulic structures used for energy
dissipation in rivers and waterways. Modeling the energy dissipation on these structures is …
dissipation in rivers and waterways. Modeling the energy dissipation on these structures is …
[HTML][HTML] SVD-based adaptive fuzzy for generalized transportation
This research stems from the urgent need to address the complex challenges faced in
multimodal transportation within the cargo sector, particularly concerning the reduction of …
multimodal transportation within the cargo sector, particularly concerning the reduction of …
[HTML][HTML] Intelligent meta-heuristic-based optimization of traffic light timing using artificial intelligence techniques
MA Khasawneh, A Awasthi - Electronics, 2023 - mdpi.com
This research examines worldwide concerns over traffic congestion, encompassing aspects
such as security, parking, pollution, and congestion. It specifically emphasizes the …
such as security, parking, pollution, and congestion. It specifically emphasizes the …
SDVN Enabled Traffic Light Cooperative Framework for E-SIoV Mobility in a Smart City Scenario
The Social Internet of Vehicles (SIoVs) is an advanced approach to vehicular networking
that connects specialized vehicles to share and exchange information, such as traffic jams …
that connects specialized vehicles to share and exchange information, such as traffic jams …
S-Edge: heterogeneity-aware, light-weighted, and edge computing integrated adaptive traffic light control framework
Rapid increase in the private and public vehicles fleet causes urban centers heavily
populated with limited transport road infrastructure. To overcome this, in real-time scenarios …
populated with limited transport road infrastructure. To overcome this, in real-time scenarios …
Congestion minimization using fog-deployed DRL-agent feedback enabled traffic light cooperative framework
A Sachan, NS Chauhan… - 2023 IEEE/ACM 23rd …, 2023 - ieeexplore.ieee.org
Congestion at signalized intersections can be alleviated by improving traffic signal control
system's performance. In this context, Deep Reinforcement Learning (DRL) methods are …
system's performance. In this context, Deep Reinforcement Learning (DRL) methods are …
Towards optimal tuned machine learning techniques based vehicular traffic prediction for real roads scenarios
Smart cities have been widely investigated, and several algorithms, techniques, and
protocols have recently been developed to serve smart city environments. Intelligent traffic …
protocols have recently been developed to serve smart city environments. Intelligent traffic …
Multi‐criteria evolutionary optimization of a traffic light using genetics algorithm and teaching‐learning based optimization
H Yektamoghadam, A Nikoofard, M Behzadi… - Expert …, 2024 - Wiley Online Library
Today, the development of urbanization and increasing the number of vehicles has resulted
in displeased consequences like traffic congestion and vehicle queuing. The vast majority of …
in displeased consequences like traffic congestion and vehicle queuing. The vast majority of …
Measurement and analysis of heterogeneous road transport parameters using Smart Traffic Analyzer and SUMO Simulator: An experimental approach
S Ravindran, GB Balachandran, PW David - Measurement, 2025 - Elsevier
The main objective of research work is to study the characteristics of heterogeneous road
transport environment & compare its dynamic parameters with the performance metrics …
transport environment & compare its dynamic parameters with the performance metrics …
An Applied Type-3 Fuzzy Controller for Gyroscopes
S Li, A Mohammadzadeh, C Zhang - International Journal of Fuzzy …, 2025 - Springer
Gyroscopes play a crucial role in an extensive range of applications such as navigation
systems, motion control, virtual reality, and many electronic devices. The efficiency of …
systems, motion control, virtual reality, and many electronic devices. The efficiency of …