Intermittency are a common and challenging problem in demand forecasting.We introduce a new, unified framework for building probabilistic forecasting models for intermittent demand time series, which incorporates and allows to generalize existing methods in several directions.Our framework is based on extensions of well-established model-based meth
Clustering has proved to be a successful enema-anal classification method when it comes to dealing with multiview data.Each method and technique tries to achieve efficiency and accuracy in classifying the multiview data.Multi-source data contains noise and divergence.Another problem is that each view contains many features, so usually the multiview
Adenoid Cystic Carcinoma is a rare and aggressive tumor representing less than 1% of head and neck cancers.This malignancy often arises from the minor salivary glands, being the palate its most common location.Surgical en-bloc resection with clear margins is the primary treatment.However, this location presents a limited line of sight and a high ri
Abstract Background Epidermolysis bullosa (EB) is characterized by skin fragility and blistering.In Brazil, the diagnosis is usually obtained through immunomapping, which involves a skin biopsy.Most recently, whole exome sequencing (WES) has become an important tool for the diagnosis of the subtypes of EB, providing information on prognosis as well
Sampah plastik merupakan sampah yang paling sulit terurai.Limbah sendok plastik dan botol plastik yang tidak terpakai dapat diolah menjadi aksesoris seperti hand bouquet Pengantin Internasional.Tujuan penelitian ini adalah untuk mengetahui kelayakan produk hand bouquet pengantin Internasional dari Hunting Stocks limbah plastik dengan uji inderawi d