[HTML][HTML] Hybrid machine learning-metaheuristic model for sustainable agri-food production and supply chain planning under water scarcity

MM Mamoudan, A Jafari, Z Mohammadnazari… - Resources, Environment …, 2023 - Elsevier
Agriculture is of great importance in all societies, serving as the fundamental basis for
producing food and ensuring the survival of human populations. The process of agricultural …

A transfer learning-based particle swarm optimization algorithm for travelling salesman problem

R Zheng, Y Zhang, K Yang - Journal of Computational Design …, 2022 - academic.oup.com
To solve travelling salesman problems (TSPs), most existing evolutionary algorithms search
for optimal solutions from zero initial information without taking advantage of the historical …

A digital twin-based operation status monitoring system for port cranes

Y Zhou, Z Fu, J Zhang, W Li, C Gao - Sensors, 2022 - mdpi.com
To address the problems of the lack of an online data simulation test environment, the poor
openness of data collection, and the low degree of data visualization in the online control …

Performance optimization of annealing salp swarm algorithm: Frameworks and applications for engineering design

J Song, C Chen, AA Heidari, J Liu… - Journal of …, 2022 - academic.oup.com
Swarm salp algorithm is a swarm intelligence optimization algorithm enlightened by the
movement and foraging behaviors of the salp population. The salp swarm algorithm (SSA) …

Applying convolutional neural network to predict soil erosion: a case study of coastal areas

C Liu, H Li, J Xu, W Gao, X Shen, S Miao - International Journal of …, 2023 - mdpi.com
The development of ecological restoration projects is unsatisfactory, and soil erosion is still a
problem in ecologically restored areas. Traditional soil erosion studies are mostly based on …

Local path planning for autonomous mobile robots by integrating modified dynamic‐window approach and improved follow the gap method

T Hossain, H Habibullah, R Islam… - Journal of Field …, 2022 - Wiley Online Library
Mobile robots need to automatically generate a safe, goal‐oriented, and fast collision‐free
trajectory in real‐time during the movement in an indoor/outdoor environment. A planned …

Object detection and position tracking in real time using Raspberry Pi

G Anand, AK Kumawat - Materials Today: Proceedings, 2021 - Elsevier
One of the fast-growing areas of deep learning using artificial intelligence is computer vision,
becoming increasingly popular. It is a growing field of research that seeks to create …

Obstacle avoidance for a robotic navigation aid using fuzzy logic controller-optimal reciprocal collision avoidance (FLC-ORCA)

MR Mohd Romlay, A Mohd Ibrahim, SF Toha… - Neural Computing and …, 2023 - Springer
Abstract Robotic Navigation Aids (RNAs) assist visually impaired individuals in independent
navigation. However, existing research overlooks diverse obstacles and assumes equal …

A high-fidelity simulation platform for industrial manufacturing by incorporating robotic dynamics into an industrial simulation tool

Z Zhang, R Dershan, AMS Enayati… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Simulation provides an efficient and safe evaluation solution for industrial automation to
pretest software before deploying it in real systems. However, only high-fidelity simulation …