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
In this paper, we propose an efficient sound propagation and remapping technique based on geometry to enhance immersive sound effects in virtual environments, and suggest a method to interactively represent sound by considering the altitude and slope of the terrain.The proposed technique can represent real-time patterns of sound such as waves and f
Software-defined networking (SDN) is a great innovation, which makes the network programmable so that it is easier to achieve failures recovery.Through pre-programmed recovery strategies and pre-deployed backup resource, flows can be redirected to destination quickly upon failures.However, it consumes omnipure q5633 a large amount of backup resourc
Routing security plays an important role in the mobile ad hoc networks (MANETs).Despite many attempts to improve its security, the routing mechanism of MANETs remains vulnerable to attacks.Unlike most existing solutions that prevent the specific problems, our approach tends to detect the misbehavior and sepia plex identify the anomalous nodes in MA
Introduction: Chronic ulcers significantly burden healthcare systems, requiring precise measurement and assessment for effective treatment.Traditional methods, such as manual segmentation, are time-consuming and error-prone.This review evaluates the potential of artificial intelligence AI-powered mobile apps for automated ulcer segmentation and the