Multi-Frequency Synthesis of VLBI Images Using a Generalized Maximum Entropy Method [PDF]
, 2008 A new multi-frequency synthesis algorithm for reconstructing images from multi-frequency VLBI data is proposed. The algorithm is based on a generalized maximum-entropy method, and makes it possible to derive an effective spectral correction for images ...
A. R. Thompson +18 more
core +1 more source
Multi-Mode Traffic Demand Analysis Based on Multi-Source Transportation Data
IEEE Access, 2020 Automatic vehicle identification (AVI) data, Integrated Circuit (IC) card data and Global Positioning System (GPS) data offer an emerging and promising source of information for analysis of traffic problems.
Dawei Li, Yuxiang Tang, Qiong Chen
doaj +1 more source
Prediction with Dimension Reduction of Multiple Molecular Data Sources for Patient Survival
, 2017 Predictive modeling from high-dimensional genomic data is often preceded by a dimension reduction step, such as principal components analysis (PCA). However, the application of PCA is not straightforward for multi-source data, wherein multiple sources of
Kaplan, Adam, Lock, Eric F.
core +2 more sources
AlgorithmsIn the context of the booming construction of smart cities, multi-source data fusion and analysis algorithms play a key role in optimizing real estate management and improving urban efficiency. In this review, we comprehensively and systematically review
Binglin Liu +6 more
semanticscholar +1 more source
Prediction method of coal mine gas occurrence law based on multi-source data fusion
Heliyon, 2023 To improve the prediction accuracy and time-consuming of coal mine gas occurrence law (OL), a new prediction method based on multi-source data fusion is proposed in this paper.
Huice Jiao +3 more
semanticscholar +1 more source
Quality-Based Combination of Multi-Source Precipitation Data
Remote Sensing, 2020 A quantitative precipitation estimate (QPE) provides basic information for the modelling of many kinds of hydro-meteorological processes, e.g., as input to rainfall-runoff models for flash flood forecasting.
Anna Jurczyk +4 more
doaj +1 more source
Artificial Intelligent Power Forecasting for Wind Farm Based on Multi-Source Data Fusion
Processes, 2023 Wind power forecasting is a typical high-dimensional and multi-step time series prediction problem. Data-driven prediction methods using machine learning show advantages over traditional physical or statistical methods, especially for wind farms with ...
Qingtian Wang +5 more
semanticscholar +1 more source
A Method for Individual Source Brightness Estimation in Single- and Multi-band Data
, 2010 We present a method of reliably extracting the flux of individual sources from sky maps in the presence of noise and a source population in which number counts are a steeply falling function of flux.
C. L. Reichardt +12 more
core +1 more source
An Application of Multi-band Forced Photometry to One Square Degree of SERVS: Accurate Photometric Redshifts and Implications for Future Science [PDF]
, 2017 We apply The Tractor image modeling code to improve upon existing multi-band photometry for the Spitzer Extragalactic Representative Volume Survey (SERVS). SERVS consists of post-cryogenic Spitzer observations at 3.6 and 4.5 micron over five well-studied
Farrah, Duncan +9 more
core +5 more sources
Decision Making Support Framework for Aquaculture Using Multi Source Data Hub
Applied SciencesAquaculture industry is a major contributor to the world’s food supply and therefore provides food security globally. However, many problems exist for the development of the industry; they include poor disease control, lack of sufficient workers, and ...
Ngoc-Bao-Van Le +4 more
doaj +1 more source