|
|
|
|
|
Salman Ibne Eunus, Shahriar Hossain, A. E. M. Ridwan, Ashik Adnan, Md. Saiful Islam, Dewan Ziaul Karim, Golam Rabiul Alam and Jia Uddin
Accidents due to defective railway lines and derailments are common disasters that are observed frequently in Southeast Asian countries. It is imperative to run proper diagnosis over the detection of such faults to prevent such accidents. However, manual...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abrar Alamr and Abdelmonim Artoli
Anomaly detection is one of the basic issues in data processing that addresses different problems in healthcare sensory data. Technology has made it easier to collect large and highly variant time series data; however, complex predictive analysis models ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alexander A. Lobashev, Nikita A. Turko, Konstantin V. Ushakov, Maxim N. Kaurkin and Rashit A. Ibrayev
This paper presents a new method for finding the optimal positions for sensors used to reconstruct geophysical fields from sparse measurements. The method is composed of two stages. In the first stage, we estimate the spatial variability of the physical ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Thomas Di Martino, Bertrand Le Saux, Régis Guinvarc?h, Laetitia Thirion-Lefevre and Elise Colin
With an increase in the amount of natural disasters, the combined use of cloud-penetrating Synthetic Aperture Radar and deep learning becomes unavoidable for their monitoring. This article proposes a methodology for forest fire detection using unsupervis...
ver más
|
|
|
|
|
|
|
|
|
|
|
Seyed Mohammad Hashemi, Seyed Ali Hashemi, Ruxandra Mihaela Botez and Georges Ghazi
This paper presents a methodology for designing a highly reliable Air Traffic Management and Control (ATMC) methodology using Neural Networks and Peer-to-Peer (P2P) blockchain. A novel data-driven algorithm was designed for Aircraft Trajectory Prediction...
ver más
|
|
|
|
|
|
|
|
|
|
|
Amthal K. Mousa and Mohammed Najm Abdullah
The software defined network (SDN) collects network traffic data and proactively manages networks. SDN?s programmability makes it excellent for developing distributed applications, cybersecurity, and decentralized network control in multitenant data cent...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiansong Tang, Ruijia Yang, Qiangsheng Dai, Gaoteng Yuan and Yingchi Mao
Climate change has increased the frequency of various types of meteorological disasters in recent years. Finding the primary factors that limit the emergency response capability of meteorological disasters through the evaluation of that capability and pr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Stefano Fiorini, Michele Ciavotta and Andrea Maurino
In recent years, studying and predicting mobility patterns in urban environments has become increasingly important as accurate and timely information on current and future vehicle flows can successfully increase the quality and availability of transporta...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaoxi Zhang, Yuan Gao, Xin Wang, Jun Feng and Yan Shi
Inferring the transportation modes of travelers is an essential part of intelligent transportation systems. With the development of mobile services, it is easy to effectively obtain massive location readings of travelers with GPS-enabled smart devices, s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Armando Levid Rodríguez-Santiago, José Aníbal Arias-Aguilar, Hiroshi Takemura and Alberto Elías Petrilli-Barceló
In this paper, an approach through a Deep Learning architecture for the three-dimensional reconstruction of outdoor environments in challenging terrain conditions is presented. The architecture proposed is configured as an Autoencoder. However, instead o...
ver más
|
|
|
|
|
|