We study spoken term detection—the task of determining whether and where a given word or phrase appears in a given segment of speech—in the setting of limited training data. This setting is becoming increasingly important as interest grows in porting spoken term detection to multiple lowresource languages and acoustic environments. We propose a discriminative algorithm that aims at maximizing t...

long-term settlement of msw landfills is a complex process, which is explained by the following two mechanisms: (1) the mechanical long-term compression of degradable organic solids (dos) and un-degradable organic solids (udos); and (2) the decomposition-based compression of the dos. based on these two distinct settlement mechanisms, in this study, the authors propose a new estimation model to ...

The development of new technologies has confronted the entire domain of science and industry with issues of big data's scalability as well as its integration with the purpose of forecasting analytics in its life cycle. In predictive analytics, the forecast of near-future and recent past - or in other words, the now-casting - is the continuous study of real-time events and constantly updated whe...

Abstract Utilizing the AIS data and global ocean wave data, vertical bending moment ( VBM ) that acted on actual ships was clarified. The long-term prediction performed based short-term analysis of in worldwide sea area. effect storm avoidance operations height is about 22% 16%. These effects are greater than North Atlantic.

Abstract Sustainable management of water resources is a key challenge nowadays and in the future. Water distribution systems have to ensure fresh for all users an increasing demand scenario related long-term effects due climate change. In this context, reliable short-term forecasting model crucial optimal resources. This study proposes novel deep learning based on long memory (LSTM) neural netw...