In this article, we propose an interval estimation method to trace unknown disaggregate series within certain bandwidths. First, consider two model-based disaggregation methods called the GLS and ARIMA disaggregation. Then, develop iterative steps construct AR-sieve bootstrap prediction intervals for temporal As illustration, analyze quarterly total balances of U.S. international trade in goods...

Use of output from global Circulation Models (GCMs) by regional or small scale rainfall-runoff models necessitates the disaggregation of the hydrological information available from GCMs to smaller scales. The hydrological processes of interest commonly occur at much smaller scales than those being modelled by GCMs. The present work examines the disaggregation of areally averaged monthly rainfal...

objective(s): neuroprotective effect of creatine (cr) against β-amyloid (aβ) is reported in an in vitro study. this study investigated the effect of cr supplementation on β-amyloid toxicity in vivo. materials and methods: thirty two, male wistar rats were divided into 4 groups. during ten weeks of study, control group went through no surgical or dietary intervention. at the 4th week of study sh...

Familial amyloid polyneuropathy (FAP) type IV (FINNISH) is a rare clinical entity with challenging neuropathy and cosmetic deficits. Amyloidosis can affect peripheral sensory, motor, or autonomic nerves. Nerve lesions are induced by deposits of amyloid fibrils and treatment approaches for neuropathy are challenging. Involvement of cranial nerves and atrophy in facial muscles is a real concern i...

Non-intrusive load monitoring (NILM) is a technique that uses single sensor to measure the total power consumption of building. Using an energy disaggregation method, individual appliances can be estimated from aggregate measurement. Recent algorithms have significantly improved performance NILM systems. However, generalization capability these methods different houses as well multi-state are s...

The field of energy disaggregation deals with the approximation appliance electric consumption using only aggregate measurement a mains meter. Recent research developments have used deep neural networks and outperformed previous methods based on Hidden Markov Models. On other hand, learning models are computationally heavy require huge amounts data. main objective current paper is to incorporat...