|
|
|
|
|
Zhen Liu, Qifeng Yang, Anlue Wang and Xingyu Gu
In the process of driving in an underground interchange, drivers are faced with many challenges, such as being in a closed space, visual changes alternating between light and dark conditions, complex road conditions in the confluence section, and dense s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Surasit Songma, Theera Sathuphan and Thanakorn Pamutha
This article examines intrusion detection systems in depth using the CSE-CIC-IDS-2018 dataset. The investigation is divided into three stages: to begin, data cleaning, exploratory data analysis, and data normalization procedures (min-max and Z-score) are...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rana Muhammad Amir Latif, Jinliao He and Muhammad Umer
An actual cropland extent product with a high spatial resolution with a precision of up to 60 m is believed to be particularly significant in tackling numerous water security concerns and world food challenges. To advance the development of niche, advanc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haochen Qin, Xuexin Fan, Yaxiang Fan, Ruitian Wang, Qianyi Shang and Dong Zhang
Predicting the remaining useful life (RUL) of batteries can help users optimize battery management strategies for better usage planning. However, the RUL prediction accuracy of lithium-ion batteries will face challenges due to fewer data samples availabl...
ver más
|
|
|
|
|
|
|
|
|
|
|
Barbara Dobosz, Dariusz Gozdowski, Jerzy Koronczok, Jan ?ukovskis and Elzbieta Wójcik-Gront
The accurate evaluation of crop damage by wild animals is crucial for farmers when seeking compensation from insurance companies or other institutions. One of the game species that frequently cause crop damage in Europe is the wild boar, which often feed...
ver más
|
|
|
|
|
|
|
|
|
|
|
Katayoon Kiany, Abolfazl Baghbani, Hossam Abuel-Naga, Hasan Baghbani, Mahyar Arabani and Mohammad Mahdi Shalchian
This study examines the potential of the soft computing technique, namely, multiple linear regression (MLR), genetic programming (GP), classification and regression trees (CART) and GA-ENN (genetic algorithm-emotional neuron network), to predict the ulti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Darwin Gómez Fernández, Rolando Salas López, Nilton B. Rojas Briceño, Jhonsy O. Silva López and Manuel Oliva
Amazonas is a mountain region in Peru with high cloud cover, so using optical data in the analysis of surface changes of water bodies (such as the Burlan and Pomacochas lakes in Peru) is difficult, on the other hand, SAR images are suitable for the extra...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guangwei Chen, Waiching Tang, Shuo Chen, Shanyong Wang and Hongzhi Cui
Engineered cementitious composite (ECC) is a unique material, which can significantly contribute to self-healing based on ongoing hydration. However, it is difficult to model and predict the self-healing performance of ECC. Although different machine lea...
ver más
|
|
|
|
|
|
|
|
|
|
|
Laura Lemke and Jon K. Miller
Coastal erosion is controlled by two sets of factors, one related to storm intensity and the other related to a location?s vulnerability. This study investigated the role of each set in controlling dune erosion based on data compiled for eighteen histori...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhengwei Zhu, Can Hu, Chenyang Zhu, Yanping Zhu and Yu Sheng
Unmanned Surface Vehicle (USV) has a broad application prospect and autonomous path planning as its crucial technology has developed into a hot research direction in the field of USV research. This paper proposes an Improved Dueling Deep Double-Q Network...
ver más
|
|
|
|
|
|