Results 11 to 20 of about 1,015,115 (264)
Forecasting, 2021 This article considers the estimation of Approximate Dynamic Factor Models with homoscedastic, cross-sectionally correlated errors for incomplete panel data.
Monica Defend +5 more
doaj +1 more source
Placement with Incomplete Data [PDF]
VLSI Design, 1998 Traditional placement problems are studied under a fully specified cell library and a complete netlist. However, in the first, e.g., 2 years of a 2 – 3 year microprocessor design cycle, the detailed netlist is unavailable. For area and performance estimation, layout must nevertheless be done with incomplete information. Another source of incompleteness
Maogang Wang +2 more
openaire +1 more source
A Combined Residual Detection Method of Reaction Wheel for Fault Detection
Shanghai Jiaotong Daxue xuebao, 2021 A fault detection method of combined residual is proposed to effectively master the health state of the reaction wheels of in-orbit satellite according to the telemetry data. Based on the characteristics of in-orbit telemetry data, in the proposed method,
HE Xiawei, CAI Yunze, YAN Lingling
doaj +1 more source
Determining the Macroscopic Fundamental Diagram from Mixed and Partial Traffic Data
Promet (Zagreb), 2018 The macroscopic fundamental diagram (MFD) is a graphical method used to characterize the traffic state in a road network and to monitor and evaluate the effect of traffic management.
Yangbeibei Ji +3 more
doaj +1 more source
Partial Convolutional LSTM for Spatiotemporal Prediction of Incomplete Data
IEEE Access, 2020 Advanced data analysis techniques facilitate data-driven spatiotemporal prediction in various fields. However, in real-world data, missing values are inevitable, which causes the data incomplete and makes predictions more challenging.
Hyesook Son, Yun Jang
doaj +1 more source
RELIABILITY MODELING BASED ON INCOMPLETE DATA: OIL PUMP APPLICATION [PDF]
Management Systems in Production Engineering, 2014 The reliability analysis for industrial maintenance is now increasingly demanded by the industrialists in the world. Indeed, the modern manufacturing facilities are equipped by data acquisition and monitoring system, these systems generates a large ...
Ahmed HAFAIFA +2 more
doaj +1 more source
Mechanics Based Tomography: A Preliminary Feasibility Study
Sensors, 2017 We present a non-destructive approach to sense inclusion objects embedded in a solid medium remotely from force sensors applied to the medium and boundary displacements that could be measured via a digital image correlation system using a set of cameras.
Yue Mei +4 more
doaj +1 more source
Hard and Soft EM in Bayesian Network Learning from Incomplete Data
Algorithms, 2020 Incomplete data are a common feature in many domains, from clinical trials to industrial applications. Bayesian networks (BNs) are often used in these domains because of their graphical and causal interpretations.
Andrea Ruggieri +3 more
doaj +1 more source
Econometrics, 2019 This article extends the Factor-Augmented Vector Autoregression Model (FAVAR) to mixed-frequency and incomplete panel data. Within the scope of a fully parametric two-step approach, the alternating application of two expectation-maximization algorithms ...
Franz Ramsauer +2 more
doaj +1 more source
Enhanced PSSV for Incomplete Data Analysis
IEEE Access, 2020 Partial Sum Minimization of Singular Values (PSSV) is a powerful tool for image denoising, matrix completion and recovering underlying low-rank structure from the corrupted data via Partial Sum Minimization of Singular Values. However, the performance of
Weimin Hou, Qin Li
doaj +1 more source