A Survey on Navigation Approaches for Automated Guided Vehicle Robots in Dynamic Surrounding

Bakar, M.A.A.; Azmin, Ahmad; Rahiman, Wan

doi:10.1109/access.2023.3263734

Cited by 18 publications

(4 citation statements)

References 141 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The solution is stored as a neural network on the base of the LevenbergMarquardt algorithm (BLMA) [46]. Figure (5) depicts a neural network for the system of ODEs. For this compartmental mathematical model, we use one intermediate layer for each input and output as shown in Figure (5).…”

Section: Resultsmentioning

confidence: 99%

“…Figure (5) depicts a neural network for the system of ODEs. For this compartmental mathematical model, we use one intermediate layer for each input and output as shown in Figure (5). To verify the resilience of the ANN-Approach, the model was trained 34 times, as shown in Figure (17), 34 percent of the tting results are reasonably excellent, with an average error of 1.23 × 10 −07 .…”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, BLM exploits a reference solution and the testing, validation, and training processes to provide approximations for various system of equations instances. The NNs-LMT technique uses a single neural network, as shown in Figure (5). Figure (3) demonstrates the architecture of the system that is connected to the domain controller.…”

Section: Design Methodologymentioning

confidence: 99%

“…Computer software is used in dierent industries in our lives. In the robotics industry [4], highly sensitive software is used to boost worker productivity in the robotic universe, agriculture [5], and medicine by enhancing the ability to analyse medical information [6], agricultural production, communication, and easy connection and sharing.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Defense Strategies for Epidemic Cyber Security Threats: Modeling and Analysis by Using a Machine Learning Approach

Sulaiman,

Waseem,

Ali

et al. 2024

IEEE Access

View full text Add to dashboard Cite

This paper investigates the mathematical modelling of cybercrime attacks on multiple devices connected to the server. This model is a very successful way for cybercrime, biomathematics, and articial intelligence to investigate and comprehend the behaviour of mannerisms with harmful intentions in a computer system. In this computational model, we are studying the factors (i.e., computer viruses, disease infections, and cyberattacks) that aect connected devices. This compartmental model, SEIAR, represents the various hardware utilised during the cyberattack. The letters S, E, I, A, and R are used to represent dierent stages or groups of individuals in epidemiological models, helping to understand the spread and control of infectious diseases. The dynamics of the previous model are determined by a series of dierential equations. The dynamics of the preceding model are determined by a system of dierential equations. Numerical solutions of the model are calculated using backpropagated Levenberg-Marquardt algorithm (BLMA) and a specic optimization algorithm known as the Levenberg-Marquardt algorithm (LMA). Reference solutions were obtained by using the Runge-Kutta algorithm of order 4 (RK-4). The backpropagated Levenberg-Marquardt algorithm (BLMA), commonly known as the damped least-squares (DLS) method. Subsequently, we endeavor to analyze the surrogate solutions obtained for the system and determine the stability of our approach. Moreover, we aim to ascertain tting curves to the target solutions with minimum errors and achieve a regression value of 1 for all the predicted solutions. The outcome of our simulations ensures that our approach is capable of making precise predictions concerning the behavior of real-world phenomena under varying circumstances. The testing, validation, and training of our technique concerning the reference solutions are then used to determine the accuracy of the surrogate solutions obtained by BLMA. Convergence analysis, error histograms, regression analysis, and curve tting were used for each dierential equation to examine the robustness and accuracy of the design strategy.

show abstract

Section: Resultsmentioning

confidence: 99%