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Researchers Propose Motion-Blurred Image Restoration Framework

A pre-proof study in Pattern Recognition has proposed a novel motion-blurred image restoration framework based on blur parameter estimation and fuzzy inference neural networks. The proposed restoration framework produces high-quality image restoration results. ....

Shengmin Zhao , Zunwei Fu , Laura Thomson , Witold Pedrycz , Owais Ali , Owais Aliaug , Jin Yul Kim , Fuzzy Radial Basis Function Neural Networks , Pattern Recognition , Motion Blurred Image Restoration Framework Based , Parameter Estimation , Fuzzy Radial Basis Function Neural , Spread Function , Blurred Image Restoration Framework , Image Quality ,

DataX is funding eight new AI research projects across disciplines

Projects with new seed funding from Princeton University’s Schmidt DataX Fund include one to improve the safety of autonomous driving and another to explore the dynamics of human thought. ....

Al Qahirah , Diana Tamir , Charlesc Fitzmorris , Frederik Simons , Kathryn Briger , Peter Ramadge , Ching Yao Lai , Prateek Mittal , Khedouria Zilkha , Marina Rustow , Sanjeev Arora , Adji Bousso Dieng , Kai Li , Bryan Grenfell , C Jessica Metcalf , Jaime Fernandez Fisac , International Affairs , Schmidt Futures Foundation , Schmidt Datax Fund , Princeton University , Crystalline Organic Semiconductor Devices , Public Affairs , Princeton School Of Public , Andlinger Center , Near Eastern , Machine Learning ,

"A stochastic harmonic oscillator temperature model for the valuation o" by Alessio Giorgini, Rogemar S. Mamon et al.

Stochastic processes are employed in this paper to capture the evolution of daily mean temperatures, with the goal of pricing temperature-based weather options. A stochastic harmonic oscillator model is proposed for the temperature dynamics and results of numerical simulations and parameter estimation are presented. The temperature model is used to price a one-month call option and a sensitivity analysis is undertaken to examine how call option prices are affected when the model parameters are varied. ....

Harmonic Oscillator , Parameter Estimation , Stochastic Models , Weather Derivatives ,

Trend analysis and forecasting the spread of COVID-19

(1)
. Therefore, only q errors will affect the existing
level, but higher order errors do not affect
. This indicates that it is a short memory model.
Auto-Regression (AR)
p, an AR (
(2)
The model is described in terms of past values and therefore we would like to estimate the coefficients
, and use the model for forecasting. All previous values will have cumulative effects on the existing
level, which is a long-run memory model.
Autoregressive Integrated Moving Average (ARIMA) Process
ARIMA modeling methods were used in this study based on a common method available for modeling and forecasting the time series data. ARIMA is the most common class of time series models which can be made “stationary” by differencing (if necessary), possibly in combination with non-linear transformations such as logging or deflating (if necessary) ....

Saudi Arabia , Addis Ababa , Ethiopian Federal Ministry Of Health , Ethiopian Public Health Institute , Virus Disease , Ethiopian Federal Ministry , Regressive Integrated Moving Average , Auto Regressive Integrated Moving Average , Parameter Estimation , Model Validation , Integrated Moving Average , Death Cases , Augmented Dickey , Fuller Test , Moving Average , Estimation Using , Confirmed Cases , Recovered Cases , Daily Total , Total Recovered Patients , சவுதி அரேபியா , எத்தியோப்பியன் கூட்டாட்சியின் அமைச்சகம் ஆஃப் ஆரோக்கியம் , எத்தியோப்பியன் பொது ஆரோக்கியம் நிறுவனம் , வைரஸ் நோய் , எத்தியோப்பியன் கூட்டாட்சியின் அமைச்சகம் , அளவுரு மதிப்பீடு ,