時系列データ解析

Use of Emulators and Inverse Problems in Molecular Simulation

The use of emulators in the integration of simulation and machine learning technologies applied to digital transformation, artificial intelligence, and machine learning tasks and the inverse problem of molecular simulation

2022.06.23

コンピューターシミュレーションデータベース技術:DataBase Technologyユーザーインターフェース/データビジュアライゼーション地理空間情報処理時系列データ解析機械学習:Machine Learning

Protected: Implementation of particle filter on time series data

Data assimilation using particle filters for time series data analysis utilized in digital transformation, artificial intelligence, and machine learning tasks and comparison of Kalman filter, particle filter (sequential Monte Carlo), and Markov chain Monte Carlo (MCMC) methods

2022.06.22

IOT技術:IOT TechnologyRStream Data Processingアルゴリズム:Algorithms微分積分:Calculus時系列データ解析最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: State Space Modeling with R – using dlm and KFAS (3) Analysis with KFAS

Time series data analysis for digital transformation, artificial intelligence, and machine learning tasks; examples of time series analysis on real data using KFAS in R normal distribution, Poisson distribution, Kalman filter, first-order difference model, second-order difference model

2022.06.16

IOT技術:IOT TechnologyRStream Data Processing微分積分:Calculus時系列データ解析最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics

Dream of a realistic SimCity

Integration of simulation and machine learning technologies used for digital transformation, artificial intelligence, and machine learning tasks; application of SimCity to the real world using emulation and machine learning

2022.06.15

アルゴリズム:Algorithmsグラフ理論コンピューターシミュレーション微分積分:Calculus時系列データ解析最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Protected: State space modeling with R – using dlm and KFAS (2) Seasonal adjustment model with dlm

Analysis of time series data used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks, and seasonal-variant time series models on real data using R's dlm

2022.06.09

RStream Data Processingアルゴリズム:Algorithms微分積分:Calculus推論技術:inference Technology時系列データ解析最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics非同期/並行処理:Asynchronous/parallel processing

Shaky Proteins and Old Me: Data Science in the Age of Misfolding

Integration of simulation and machine learning technologies used in digital transformation, artificial intelligence and machine learningtasks; application of simulation and machine learning PCA, RMA, canonical correlation analysis, independent component analysis, Bayesian inference, hidden Markov models) to protein functional analysis (misfolding, etc.

2022.06.08

IOT技術:IOT TechnologyStream Data Processingシミュレーション地理空間情報処理微分積分:Calculus推論技術:inference Technology時系列データ解析最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Protected: State Space Modeling with R – using dlm and KFAS (1) Basic analysis using dlm

Analysis using dlm on real data (quarterly sales volume data of products) in the analysis of time-series data (on data prediction and filtering and smoothing) used in digital transformation, artificial intelligence , and machine learning tasks.

2022.06.02

IOT技術:IOT TechnologyStream Data Processing地理空間情報処理推論技術:inference Technology時系列データ解析最適化:Optimization機械学習:Machine Learning画像認識技術非同期/並行処理:Asynchronous/parallel processing

Weather Forecasting and Data Science

Weather forecasting and data assimilation for simulation and data science integration for digital transformation, artificial intelligence, and machine learning task utilization

2022.06.01

IOT技術:IOT TechnologyStream Data Processingアルゴリズム:Algorithmsシミュレーションスパースモデリングデータベース技術:DataBase Technologyベイズ推定強化学習微分積分:Calculus推論技術:inference Technology時系列データ解析最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Protected: Time series data analysis (3)Filtering of nonlinear and non-Gaussian state space models (e.g. particle filter)

Filtering and smoothing of nonlinear and non-Gaussian state-space models using particle filters in the analysis of time-series data with state-space models for digital transformation, artificial intelligence, and machine learning tasks

2022.05.26

IOT技術:IOT TechnologyStream Data Processingアルゴリズム:Algorithmsオンライン学習微分積分:Calculus推論技術:inference Technology時系列データ解析最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: Simulation, Data Assimilation, and Emulation

Fusion of extrapolation (deduction) estimation using simulation and interpolation (induction) estimation using machine learning (simulation assimilation and emulation using DNN, etc.) for digital transformation, artificial intelligence and machine learning tasks

2022.05.25

Stream Data Processingアルゴリズム:Algorithmsグラフ理論シミュレーション強化学習微分積分:Calculus時系列データ解析最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics線形代数:Linear Algebra