How to accurately detect Key Performance Indicator (KPI) anomalies is a critical issue in cellular network management. We present CellPAD, unified performance anomaly detection framework for KPI time-series data. CellPAD realizes simple statistical modeling and machine-learning-based regression detection; particular, it specifically takes into account seasonality trend components as well supports automated prediction model retraining based on prior results. demonstrate how detects two types...

Data-driven methods are very useful for streamflow forecasting when the underlying physical relationships not entirely clear. However, obtaining an accurate data-driven model that is sufficiently performant remains often challenging. This study proposes a new combined variational mode decomposition (VMD) and prediction models daily forecasting. The include autoregressive moving average (ARMA), gradient boosting regression tree (GBRT), support vector (SVR), backpropagation neural network...

The presentation-assimilation-discussion (PAD) teaching mode combines the advantages of “lecture classroom” and “discussion classroom,” adopts separation presentation discussion, focuses on formative evaluation system, which can improve students’ independent inquiry ability thus obtain effective output. Based an empirical study PAD a statistical analysis performance college English reading, increase significantly. Students are satisfied with...

This study aims to improve the quality and effectiveness of hospital hygiene management. Through a literature review, it analyzed current status management, identified existing issues their causes, proposed strategies strengthen safety practices. The research revealed that conventional management models, while widely used, are limited by singular content forms. To address these limitations, explored three key aspects: first, outlined fundamentals necessity management; second, root causes;...

This paper gives three easily computed highly outlier resistant robust $\sqrt{n}$ consistent estimators of multivariate location and dispersion for elliptically contoured distributions with fourth moments. When the data is from a normal distribution, are also covariance matrix. Outlier detection canonical correlation analysis presented as applications.

The objective of this study was to evaluate the applicability a flow model with different numbers spatial dimensions in hydraulic features solution, parameters such free surface profile, water depth variations, and averaged velocity evolution dam-break under dry wet bed conditions tailwater depths. Two similar three-dimensional (3D) hydrodynamic models (Flow-3D MIKE 3 FM) were studied simulation by performing comparison published experimental data one-dimensional (1D) analytical solution....

Object tracking is a crucial research subfield in computer vision and it has wide applications navigation, robotics military so on. In this paper, the real-time visualization of 3D point clouds data based on VLP-16 Light Detection Ranging (LiDAR) sensor achieved, basis preprocessing, fast ground segmentation, Euclidean clustering segmentation for outliers, View Feature Histogram (VFH) feature extraction, establishing object models searching matching moving spherical target, Kalman filter...

The calculation of hydrologic frequency is an important basic step in the planning and design stage any water conservancy project. purpose analysis to deduce variables under different guarantee rates, provide information for project design. requires that sample size large enough, as only then can statistical characteristics samples take place total eigenvalues. This means reveal identify randomness rule phenomena. Many countries East Asian monsoon climate zone (China, Japan South Korea) have...

Purpose – The purpose of this paper is to examine whether realized volatility can provide additional information on the process GARCH and EGARCH model, based data Chinese stock market. Design/methodology/approach defined as squared overnight return plus close open period between morning afternoon session, sum f-minute returns trading hours during relevant day. methodology a (EGARCH) model with added explanation variables in variance equation. estimation exact maximum likelihood estimation,...

Abstract Assessing the spatial variability of soil water content is important for precision agriculture. To measure and to determine optimal number sampling sites predicting mean at different stages irrigation cycle, field experiments were carried out in a potato northwestern China. The was measured 2016 2017 depths 0–20 20–40 cm 116 georeferenced locations. average coefficient variation 20.79% before 16.44% after depth cm. structure similar throughout but relatively greater portion...

Integrated modular avionics is one of the most advanced systems which has been widely applied in modern aircraft. The performance integrated deeply impacts flight mission. Remaining useful life prediction critical manner can efficiently improve safety and reliability Since a real-time system, algorithm should have fast learning speed to satisfy requirement. In this paper, an enhanced online sequential method proposed predict remaining avionics. Firstly, paper proposes network based on...

The effect of reclaimed water irrigation on soil microenvironment and nitrogen economy in profiles was studied by monitoring different plots with fertilization rate that had been irrigated effluents 2014 2015.The tap plot topdressing 270 kg/ha served as the control provided reference "background" values.Soil temperature, organic matter (OM), pH, electrical conductivity (EC), total (TN), mineral at depths were analyzed data logger lab test, microbes agar plate dilution method.The results...

The rapid development of society and economy is not only the opportunity but also challenge college English teaching in China. Nowadays, traditional curriculum, with its monotonous content musty principles, can hardly activate learners’ motivation, because curriculum design neglects needs. Therefore, instrument, humanity profession should be integrated education group has been designed constructed. In this system, based on needs analysis, EGP ESP are combined; Internet platform that makes...

Socioeconomic drought is one of the most frequent natural disasters in world and closely related to human life. The main cause socioeconomic contradiction between water supply demand; hence, as local reservoirs play a major role improving coping with extreme climate, it reasonable estimate based on reservoir operations. multivariate standardized reliability resilience index (MSRRI) utilized evaluate drought, considering characteristics management storage resources. Therefore, MSRRI, this...

As a way of reusing service resource, Semantic Web composition aims to achieve the effective automation discovery, and execution with organic combination its static description dynamic behavior. How realize intelligent has gradually made itself focal point in academic industrial research. This paper gives an overview research on methods. Main specifications framework are introduced first, then three categories current methods discussed detail. Moreover, related core problems future...

GDP is often used to measure the economic status of a country. However, model, which only focuses on gains, ignores price that Mother Earth silently endures behind shiny data. In order protect environment and resources as generous gift our future generations, deserved people, green (GGDP) model developed.we first define replacement GGDP represent change country from maximum development strategy GGDP.Then, we normalize commonly accounting methods by Cobb-Douglas aggregate find relationship...

Benefiting from the rapid development of 2D diffusion models, 3D content creation has made significant progress recently. One promising solution involves fine-tuning pre-trained models to harness their capacity for producing multi-view images, which are then lifted into accurate via methods like fast-NeRFs or large reconstruction models. However, as inconsistency still exists and limited generated resolution, generation results such lack intricate textures complex geometries. To solve this...