A review on the applications of machine learning and deep learning in agriculture section for the production of crop biomass raw materials

W Peng, O Karimi Sadaghiani - Energy Sources, Part A: Recovery …, 2023 - Taylor & Francis
The application of biomass, as an energy resource, depends on four main steps of
production, pre-treatment, bio-refinery, and upgrading. This work reviews Machine Learning …

An Analytical Review on the Utilization of Machine Learning in the Biomass Raw Materials, Their Evaluation, Storage, and Transportation

W Peng, OK Sadaghiani - Archives of Computational Methods in …, 2023 - Springer
The utilization of biomass, as an energy resources, is required four main steps of production,
pre-treatment, bio-refinery, and upgrading. Also, the production step of the biomass raw …

Real-time methane prediction in underground longwall coal mining using AI

DC Demirkan, HS Duzgun, A Juganda, J Brune… - Energies, 2022 - mdpi.com
Detecting the formation of explosive methane–air mixtures in a longwall face is still a
challenging task. Even though atmospheric monitoring systems and computational fluid …

An improved method for ship target detection based on YOLOv4

Z Huang, X Jiang, F Wu, Y Fu, Y Zhang, T Fu, J Pei - Applied Sciences, 2023 - mdpi.com
The resolution of remote sensing images has increased with the maturation of satellite
technology. Ship detection technology based on remote sensing images makes it possible …

A system for a real-time electronic component detection and classification on a conveyor belt

D Varna, V Abromavičius - Applied Sciences, 2022 - mdpi.com
The presented research addresses the real-time object detection problem with small and
moving objects, specifically the surface-mount component on a conveyor. Detecting and …

Real-time target detection system for animals based on self-attention improvement and feature extraction optimization

M Zhang, F Gao, W Yang, H Zhang - Applied Sciences, 2023 - mdpi.com
In this paper, we propose a wildlife detection algorithm based on improved YOLOv5s by
combining six real wildlife images of different sizes and forms as datasets. Firstly, we use the …

Monitoring Vehicle Pollution and Fuel Consumption Based on AI Camera System and Gas Emission Estimator Model

M Rodriguez Valido, O Gomez-Cardenes… - Sensors, 2022 - mdpi.com
Road traffic is responsible for the majority of air pollutant emissions in the cities, often
presenting high concentrations that exceed the limits set by the EU. This poses a serious …

Video-based vehicle speed estimation using speed measurement metrics

K Sangsuwan, M Ekpanyapong - IEEE Access, 2024 - ieeexplore.ieee.org
Camera system is widely used as a road traffic monitoring nowadays but if the system is
used as a speed camera, an additional speed sensor is required. In this work, we …

Literature review application of yolo algorithm for detection and tracking

F Imanuel, SK Waruwu, A Linardy… - Journal of Computer …, 2024 - jurnal.itscience.org
A vehicle tracking system is a computer program that utilizes devices to monitor the position,
movement and condition of a vehicle or fleet of vehicles. Multi-vehicle tracking on highways …

Comparison of YOLO Algorithms for Vehicle Accident Detection and Classification

AN Nusari, AEB Alawi, F Bozkurt… - 2024 4th International …, 2024 - ieeexplore.ieee.org
Early detection of vehicle accidents is essential for immediate response and to decrease the
severity of injuries while vehicle accidents occur. Among the advanced algorithms YOLOv6 …