|
|
|
|
|
Nattakan Supajaidee, Nawinda Chutsagulprom and Sompop Moonchai
Ordinary kriging (OK) is a popular interpolation method for its ability to simultaneously minimize error variance and deliver statistically optimal and unbiased predictions. In this work, the adaptive moving window kriging with K-means clustering (AMWKK)...
ver más
|
|
|
|
|
|
|
|
|
|
|
Syed As-Sadeq Tahfim and Yan Chen
Severe and fatal crashes involving large trucks result in significant social and economic losses for human society. Unfortunately, the notably low proportion of severe and fatal injury crashes involving large trucks creates an imbalance in crash data. Mo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pengcheng Wu, Hongqiao Wang, Gaowei Liang and Peng Zhang
Unmanned aerial vehicle (UAV) swarm coordinated confrontation is a hot topic in academic research at home and abroad, and dynamic maneuver decision-making is one of the most important research fields for UAV countermeasures. Aiming at the complexity, unc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Emmanuel Effah, Ousmane Thiare and Alexander M. Wyglinski
This paper presents an in-depth contextualized tutorial on Agricultural IoT (Agri-IoT), covering the fundamental concepts, assessment of routing architectures and protocols, and performance optimization techniques via a systematic survey and synthesis of...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dongling Ma, Baoze Liu, Qingji Huang and Qian Zhang
Studying the development characteristics of the urban catering industry holds significant importance for understanding the spatial patterns of cities. In this manuscript, according to the characteristics of the distribution of catering points and based o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Souleymane Fall, Kapo Coulibaly, Joseph Quansah and Gamal El Afandi
Urban heat vulnerability varies within and across cities, necessitating detailed studies to understand diverse populations? specific vulnerabilities. This research assessed urban heat vulnerability at block group level in three Alabama cities: Birmingham...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nguyen Duy Tan, Duy-Ngoc Nguyen, Hong-Nhat Hoang and Thi-Thu-Huong Le
The Internet of Things (IoT) integrates different advanced technologies in which a wireless sensor network (WSN) with many smart micro-sensor nodes is an important portion of building various IoT applications such as smart agriculture systems, smart heal...
ver más
|
|
|
|
|
|
|
|
|
|
|
Juan Chen, Zhencai Zhu, Haiying Hu, Lin Qiu, Zhenzhen Zheng and Lei Dong
Infrared (IR) Image preprocessing is aimed at image denoising and enhancement to help with small target detection. According to the sparse representation theory, the IR original image is low rank, and the coefficient shows a sparse character. The low ran...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuzhuang Wan, Yi Zhong, Yan Huang, Yi Han, Yongqiang Cui, Qi Yang, Zhuo Li, Zhenhui Yuan and Qing Li
Due to the rapid development of deep learning, the performance of object detection has greatly improved. However, object detection in high-resolution Unmanned Aerial Vehicles images remains a challenging problem for three main reasons: (1) the objects in...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ashraf A. Taha, Hagar O. Abouroumia, Shimaa A. Mohamed and Lamiaa A. Amar
As sensors are distributed among wireless sensor networks (WSNs), ensuring that the batteries and processing power last for a long time, to improve energy consumption and extend the lifetime of the WSN, is a significant challenge in the design of network...
ver más
|
|
|
|
|
|