An improved supervised contrastive learning with denoising diffusion probabilistic model for fault detection in industrial processes DOI
Daye Li, Jie Dong, Kaixiang Peng

et al.

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 194, P. 350 - 359

Published: Dec. 10, 2024

Language: Английский

Dynamics Modeling for Key Performance Indicators in Higher Education Through Optimization Methods DOI

M. Salmina,

Said Munzir,

Intan Syahrini

et al.

International Journal of Mathematical Engineering and Management Sciences, Journal Year: 2025, Volume and Issue: 10(1), P. 92 - 112

Published: Jan. 1, 2025

Dynamic models of higher education Key Performance Indicators (KPI) help in understanding how internal and external factors affect future KPI achievement. This study aims to construct a dynamic model university variables estimate parameters value. Several used steps achieve goals are problem definition, variables, formulation, prerequisite estimation, conformity analysis. involves eight KPIs three types funding. Three optimization methods Type I constrained optimization, II unconstrained optimization. The results showed that the percentage graduates getting decent jobs (KPI 1) year is strongly influenced by two KPIs, namely work lecturers 5) programs with international accreditation 8). existence active practitioners 4) opens opportunities for cooperation 6) collaborative learning 7). Significant investment improving quality right allocation funds has proven impact achieving positively.

Language: Английский

Citations

1

Additive Manufacturing Modification by Artificial Intelligence, Machine Learning, and Deep Learning: A Review DOI Creative Commons
Mohsen Soori, Fooad Karımı Ghaleh Jough, Roza Dastres

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown, P. 200198 - 200198

Published: Feb. 1, 2025

Language: Английский

Citations

1

Rolling trajectory generation for autonomous forklifts based on task time constraint DOI Creative Commons
Yizhen Sun, Junyou Yang, Donghui Zhao

et al.

Advances in Mechanical Engineering, Journal Year: 2025, Volume and Issue: 17(3)

Published: March 1, 2025

As the demand for operational efficiency in intelligent factories and logistics systems continues to increase, trajectory planning autonomous forklifts has become a critical technological challenge. In this paper, we propose Task-Time Constrained Trajectory Rolling Planning (TTRP) approach that ensures timely task completion despite unforeseen circumstances. The TTRP method calculates time intervals between waypoints based on constraints forklift’s kinematic dynamic models. By employing cubic spline interpolation, it replans remaining after unplanned stops, ensuring smooth transitions adherence constraints. We validated using ROS-based Gazebo simulation environment. Simulation results indicate significantly improves smoothness stability compared traditional quintic polynomial interpolation methods. Specifically, reduces maximum jerk by up 89.7%, decreases standard deviation of acceleration 88.1%, lowers speed variation 61%. These findings demonstrate efficiently generates smooth, feasible trajectories meet kinematic, dynamic, requirements factory environments.

Language: Английский

Citations

0

AI in Smart Manufacturing DOI
Josué Román Martínez-Mireles, Jazmín Rodriguez-Flores, Marco Antonio García-Márquez

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 463 - 494

Published: March 7, 2025

This chapter provides a comprehensive overview of the integration artificial intelligence (AI) and related technologies in manufacturing sector, detonating Smart Manufacturing. It discusses pivotal role AI enhancing operational efficiency, optimizing production processes, improving product quality through data-driven decision-making, including IoT Big Data integration. All these are applied in. predictive maintenance, control, supply chain optimization, showcasing real-world case studies examples. Additionally, it addresses challenges opportunities associated with implementing interaction of. AI, IoT, Industry 4.0, data manufacturing, emphasizing importance fostering culture innovation continuous improvement. The findings underscore transformative potential driving evolution smart ultimately contributing to increased competitiveness rapidly changing global economy.

Language: Английский

Citations

0

Advanced multi-loop control for 4DOF robotic arms: Integrating digital twins, neural networks, and model predictive control DOI
Jiao Chen, Ahmed Kateb Jumaah Al-Nussairi,

Mustafa Habeeb Chyad

et al.

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 4261 - 4279

Published: April 8, 2025

Language: Английский

Citations

0

An improved supervised contrastive learning with denoising diffusion probabilistic model for fault detection in industrial processes DOI
Daye Li, Jie Dong, Kaixiang Peng

et al.

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 194, P. 350 - 359

Published: Dec. 10, 2024

Language: Английский

Citations

0