|
|
|
|
|
Sanjeeb Kumar Mohanty, Nirmal Kumar Pandit, Pawan Kumar Sah, Niraj Mahaseth, Rajesh Yadav, Dipti Ranjan Biswal, Benu Gopal Mohapatra, Brundaban Beriha, Ramachandra Pradhan and Sujit Kumar Pradhan
The management of unutilized fly ash poses challenges due to concerns about storage and its potential groundwater contamination. Within the road industry, where the bulk utilization of fly ash is feasible, its unsuitability for use in the base and sub-ba...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaoyong Zhang, Wei Yue and Wenbin Tang
To enhance the anti-submarine and search capabilities of multiple Unmanned Aerial Vehicle (UAV) groups in complex marine environments, this paper proposes a flexible action-evaluation algorithm known as Knowledge-Driven Soft Actor-Critic (KD-SAC), which ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Soohyun Han and Cheolmin Baek
In this study, the engineering properties of basalt aggregate used for asphalt road pavement on Jeju Island were evaluated, and the characteristics of the asphalt mixtures used were evaluated to assess the suitability of Jeju Island basalt as road constr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aditia Rojali, Hector R. Fuentes, Carlos M. Chang and Hesham Ali
This study investigates the potential damage to flexible pavements caused by rising groundwater tables resulting from sea-level rise. A case study was conducted in Miami-Dade County, Southeast Florida, a low-lying area at high risk of inundation and risi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Krzysztof Zagata and Beata Medynska-Gulij
The main objective of this study is to identify features of mini-map design as a navigational aid in the virtual geographical space in 100 popular video games for a computer platform. The following research methods were used: visual comparative analysis,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Reinis Cimurs, Vilnis Turkovs, Martins Banis and Aleksandrs Korsunovs
For mobile cleaning robot navigation, it is crucial to not only base the motion decisions on the ego agent?s capabilities but also to take into account other agents in the shared environment. Therefore, in this paper, we propose a deep reinforcement lear...
ver más
|
|
|
|
|
|
|
|
|
|
|
Li-Na Wang, Hongxu Wei, Yuchen Zheng, Junyu Dong and Guoqiang Zhong
Ensemble learning, online learning and deep learning are very effective and versatile in a wide spectrum of problem domains, such as feature extraction, multi-class classification and retrieval. In this paper, combining the ideas of ensemble learning, on...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tameem Adel and Mark Levene
We investigate the utility of side information in the context of machine learning and, in particular, in supervised neural networks. Side information can be viewed as expert knowledge, additional to the input, that may come from a knowledge base. Unlike ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hyeong-Ju Kang
Object detection in many real applications requires the capability of detecting small objects in a system with limited resources. Convolutional neural networks (CNNs) show high performance in object detection, but they are not adequate to resource-limite...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaochun Zhang, Jianhan Hu and Shuyang Chen
In the southeastern coastal regions of China, thick layers of marine soft soil are widely distributed, exhibiting characteristics such as high compressibility, high porosity, low strength, high sensitivity, and easy thixotropy, and these viscoelastic beh...
ver más
|
|
|
|
|
|