In this work we address the problem of modeling varying time duration sequences for large-scale human routine discovery from cellphone sensor data using a multi-level approach to probabilistic topic models. We use an unsupervised learning approach that discovers human routines of varying durations ranging from half-hourly to several hours. Our methodology can handle large sequence lengths based...

Deregulated energy market participants mostly must use theHourly Price Forward Curves (HPFC) to evaluate their long term energy price contracts. We propose a new framework to estimate hourly, daily and yearly energy price profiles, based on the median estimation, instead of the widely used mean value. Hourly and daily data used for estimation are normalized in order to minimize the seasonality ...

Abstract. Systematic biases and coarse resolutions are major limitations of current precipitation datasets. Many deep learning (DL)-based studies have been conducted for bias correction downscaling. However, it is still challenging the approaches to handle complex features hourly precipitation, resulting in incapability reproducing small-scale features, such as extreme events. This study develo...

Globally, a variety of numerical weather prediction (NWP) models are employed by national agencies. However, the derived outputs from these generally inadequate for precise cultivation management due to bias error. This study uses observational data acquired over several months develop an equation correcting surface air temperature (SAT) error in NWP model outputs. With proposed method, convert...

In recent years, a co-ordinated programme of data collection has resulted in the collation of sub-hourly time-series of hydrological, sediment and phosphorus loss data, together with soil analysis, cropping and management information for two small (< 200 ha) headwater agricultural catchments in the UK Midlands (Rosemaund, Herefordshire and Cliftonthorpe, Leicestershire). These data sets have al...

A spatially distributed hydrological model WetSpa (Water and Energy Transfer between Soil, Plants and Atmosphere) working on an hourly time scale is presented in this paper. The model combines elevation, soil and land use data, and predicts flood hydrograph and the spatial distribution of hydrological characteristics in a watershed. The model is tested on a small catchment in Belgium for which ...

Although flat fees are common for divorces, wills and trusts and probate, lawyers in personal injury cases generally are paid by contingency fee or at an hourly rate. Arguments have been made that contingency fees increase low-quality, "frivolous" litigation but counter-arguments suggest that contingency fees actually limit such litigation and instead it is hourly-fees that increase low-quality...