|
|
|
|
|
Huiying Ren, Z. Jason Hou, Mark Wigmosta, Ying Liu and L. Ruby Leung
Changes in extreme precipitation events may require revisions of civil engineering standards to prevent water infrastructures from performing below the designated guidelines. Climate change may invalidate the intensity-duration-frequency (IDF) computatio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Swagat Bhattacharyya and Jennifer O. Hasler
While wireless sensor node (WSNs) have proliferated with the rise of the Internet of Things (IoT), uniformly sampled analog?digital converters (ADCs) have traditionally reigned paramount in the signal processing pipeline. The large volume of data generat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Soohyun Cho
Herein, we propose the use of the logarithmic values of data transmission rates for multi-armed bandit (MAB) algorithms that adjust the modulation and coding scheme (MCS) levels of data packets in carrier-sensing multiple access/collision avoidance (CSMA...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hadis Pakdel, Dev Raj Paudyal, Sreeni Chadalavada, Md Jahangir Alam and Majid Vazifedoust
The frequency and severity of extremes, including extreme precipitation events, extreme evapotranspiration and extreme water storage deficit events, are changing. Thus, the necessity for developing a framework that estimates non-stationary conditions is ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Michael Wood, Emanuele Ogliari, Alfredo Nespoli, Travis Simpkins and Sonia Leva
Optimal behind-the-meter energy management often requires a day-ahead electric load forecast capable of learning non-linear and non-stationary patterns, due to the spatial disaggregation of loads and concept drift associated with time-varying physics and...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lan Wang, Mingjiang Xie, Min Pan, Feng He, Bing Yang, Zhigang Gong, Xuke Wu, Mingsheng Shang and Kun Shan
Harmful algal blooms (HABs) have been deteriorating global water bodies, and the accurate prediction of algal dynamics using the modelling method is a challenging research area. High-frequency monitoring and deep learning technology have opened up new ho...
ver más
|
|
|
|
|
|
|
|
|
|
|
E.A. Kuzhbanova,S.V. Porshnev
Pág. 32 - 38
The article substantiates an analogy between the dynamics of vessel traffic through the Kerch Strait and the dynamics of a non-stationary queuing system (QS) operating in an underloaded mode. Based on the analysis of data on the movement of ships, which ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Raúl Llasag Rosero, Catarina Silva and Bernardete Ribeiro
Predictive Maintenance (PM) strategies have gained interest in the aviation industry to reduce maintenance costs and Aircraft On Ground (AOG) time. Taking advantage of condition monitoring data from aircraft systems, Prognostics and Health Maintenance (P...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuxin Jiao, Zhikun Lin, Long Yu and Xiaozhu Wu
Task allocation is a critical issue of spatial crowdsourcing. Although the batching strategy performs better than the real-time matching mode, it still has the following two drawbacks: (1) Because the granularity of the batch size set obtained by batchin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aram Cornaggia, Rosalba Ferrari, Maurizio Zola, Egidio Rizzi and Carmelo Gentile
The paper is part of a case study concerning the structural assessment of a historical infrastructure in the local territory, a road three-span reinforced concrete arch bridge over a river, built by the end of World War I (1917). The purpose of the paper...
ver más
|
|
|
|
|
|