|
|
|
|
|
JongBae Kim
This technology can prevent accidents involving large vehicles, such as trucks or buses, by selecting an optimal driving lane for safe autonomous driving. This paper proposes a method for detecting forward-driving vehicles within road images obtained fro...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kate Carlson, Barbara P. Buttenfield and Yi Qiang
Quantification of all types of uncertainty helps to establish reliability in any analysis. This research focuses on uncertainty in two attribute levels of wetland classification and creates visualization tools to guide analysis of spatial uncertainty pat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Taotao Zhao, Xinqiang Zhu, Hongshan Yang, Yonggang Wang, Feifan Leng and Xiaoli Wang
Volatile components are one key factor in sample identification, differential analysis, quality control and origin traceability. In order to identify and analyze the differences in volatile substances in different alfalfa seeds, this study used gas chrom...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaokai Sun, Baoyun Guo, Cailin Li, Na Sun, Yue Wang and Yukai Yao
In urban point cloud scenarios, due to the diversity of different feature types, it becomes a primary challenge to effectively obtain point clouds of building categories from urban point clouds. Therefore, this paper proposes the Enhanced Local Feature A...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaoyu Yin, Jia Li, Jingyi Wu, Ruihan Cao, Siqian Xin and Jianxu Liu
Geographical indications (GIs) mitigate information asymmetry in agri-food transactions by providing consumers with origin and quality information. This paper explores the impact of GIs on rural development in China by examining agricultural output and f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ching-Lung Fan
The emergence of deep learning-based classification methods has led to considerable advancements and remarkable performance in image recognition. This study introduces the Multiscale Feature Convolutional Neural Network (MSFCNN) for the extraction of com...
ver más
|
|
|
|
|
|
|
|
|
|
|
Maria Perraki, Vasilios Skliros, Petros Mecaj, Eleni Vasileiou, Christos Salmas, Ioannis Papanikolaou and Georgios Stamatis
Sixteen surface (5) and groundwater (11) samples were collected from the south-eastern part of Attica, Greece, and analysed for physico-chemical parameters and microplastics (MPs) by optical microscopy and Raman microspectroscopy (RS). A total of 3399 pa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Suveshnee Munien, Puspa L. Adhikari, Kimberly Reycraft, Traci J. Mays, Trishan Naidoo, MacKenzie Pruitt, Jacqueline Arena and Sershen
This systematic review represents one of the first attempts to compare the efficacy of the full suite of management interventions developed to control (prevent or remove) microplastics (MPs) in freshwater bodies, both man-made and natural. The review als...
ver más
|
|
|
|
|
|
|
|
|
|
|
Manish Bhurtel and Danda B. Rawat
Operating systems play a crucial role in computer systems, serving as the fundamental infrastructure that supports a wide range of applications and services. However, they are also prime targets for malicious actors seeking to exploit vulnerabilities and...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abid Mehmood, Muneer Ahmad and Qazi Mudassar Ilyas
Fruits are considered among the most nutrient-dense cash crops around the globe. Since fruits come in different types, sizes, shapes, colors, and textures, the manual classification and disease identification of a large quantity of fruit is time-consumin...
ver más
|
|
|
|
|
|