The YOLOv5 algorithm is widely used in object detection due to its efficient inference speed and high accuracy. However, it still faces challenges in small object detection. This paper proposes a series of improvements, including the addition of small object detection layers, the...
Open access
Research Article10.9734/jerr/2024/v26i91263
With the continuous development of deep learning, object detection algorithms based on deep learning have made significant progress in the field of computer vision, widely applied in areas such as autonomous driving, industrial inspection, agriculture, transportation, and medicin...
Open access
Research Article10.9734/ajrcos/2024/v17i7485
As the global population grows and urbanization accelerates, agricultural production faces challenges such as labor shortages, limited resources, and an aging population. The application of agricultural automation and intelligent technology has become an important means to improv...
Open access
Research Article10.9734/arja/2025/v18i1662
In this paper, we review the research status of hydrogen and ammonia engines, and discuss the potential of the two fuels as clean energy sources and their challenges. Hydrogen fuel has attracted attention due to its high energy density and zero-emission characteristics, but hydro...
Open access
Research Article10.9734/jenrr/2024/v16i9372
In recent years, with the further strengthening of environmental protection, researchers have paid extensive attention to the hydrogen-enriched engine. hydrogen-enriched mix hydrogen with conventional fuels and are designed to reduce exhaust emissions, improve combustion efficien...
Open access
Research Article10.9734/jerr/2024/v26i41121
Hydrogen and ammonia are two carbon-free alternative fuels for engines. They represent some of the most viable pathways toward achieving our objectives of energy conservation and reducing emissions. To research the quality of the hydrogen-ammonia-air mixture formation under diffe...
Open access
Research Article10.9734/jerr/2024/v26i41122