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
[HTML][HTML] A systematic review on recent advances in autonomous mobile robot navigation
Recent years have seen a dramatic rise in the popularity of autonomous mobile robots
(AMRs) due to their practicality and potential uses in the modern world. Path planning is …
(AMRs) due to their practicality and potential uses in the modern world. Path planning is …
Fuzzy logic approach for controlling uncertain and nonlinear systems: a comprehensive review of applications and advances
HH Tang, NS Ahmad - Systems Science & Control Engineering, 2024 - Taylor & Francis
This paper presents a comprehensive review of the latest developments in fuzzy logic (FL)
applications across critical domains which include energy harvesting (EH), ambient …
applications across critical domains which include energy harvesting (EH), ambient …
Modeling and hybrid pso-woa-based intelligent pid and state-feedback control for ball and beam systems
NS Ahmad - Ieee Access, 2023 - ieeexplore.ieee.org
The ball and beam (BnB) system serves as a benchmark in control engineering as it
provides a foundational concept applicable to addressing stabilization challenges of various …
provides a foundational concept applicable to addressing stabilization challenges of various …
[HTML][HTML] Material classification via embedded RF antenna array and machine learning for intelligent mobile robots
In this work, we present a novel design for an embedded Radio Frequency (RF) antenna
array that can distinguish various materials by analyzing changes in Received Signal …
array that can distinguish various materials by analyzing changes in Received Signal …
Enhanced path planning algorithm via hybrid WOA-PSO for differential wheeled mobile robots
This study introduces an enhanced algorithm for global path planning of Differential
Wheeled Mobile Robots (DWMRs) that merges the Whale Optimization Algorithm (WOA) …
Wheeled Mobile Robots (DWMRs) that merges the Whale Optimization Algorithm (WOA) …
A Hybrid HHO-AVOA for path planning of a differential wheeled mobile robot in static and dynamic environments
This study presents a hybrid HHO-AVOA which is a novel optimization method that
combines the strengths of Harris Hawks Optimization (HHO) and African Vulture …
combines the strengths of Harris Hawks Optimization (HHO) and African Vulture …
Exploring autonomous load-carrying mobile robots in indoor settings: A comprehensive review
PY Leong, NS Ahmad - IEEE Access, 2024 - ieeexplore.ieee.org
This review paper provides a detailed overview of the advancements and identifies pivotal
challenges in the realm of autonomous load-carrying mobile robots, with a particular focus …
challenges in the realm of autonomous load-carrying mobile robots, with a particular focus …
Applications of artificial intelligence in the air transport industry: a bibliometric and systematic literature review
The use of artificial intelligence, along with its various components, is rapidly increasing in
various fields of study today, going beyond the traditional domains of computer science and …
various fields of study today, going beyond the traditional domains of computer science and …
LiDAR-based obstacle avoidance with autonomous vehicles: A comprehensive review
PY Leong, NS Ahmad - IEEE Access, 2024 - ieeexplore.ieee.org
Research on autonomous vehicles (AV)-self-navigating machines that transport both man
and cargo has proliferated lately. While once limited to industrial or military uses, more …
and cargo has proliferated lately. While once limited to industrial or military uses, more …
MCT-array: A novel portable transceiver antenna array for material classification with machine learning
NS Ahmad - IEEE Access, 2024 - ieeexplore.ieee.org
Material classification is pivotal across materials science, engineering, and various industrial
sectors. Despite the high accuracy of traditional material classification methods, they often …
sectors. Despite the high accuracy of traditional material classification methods, they often …