About WoT (Web of Things) technology
Overview and challenges of the Web of Things WoT, an extension of IoT technology used for digital transformation, artificial intelligence, and machine learning tasks
IOT技術:IOT Technology
Microservices and Efficient Application Development and Multi-Agent Systems
Microservices and efficient development and implementation in multi-agent systems and Clojure for digital transformation, artificial intelligence and machine learning tasks
Protected: Reconstructing the shape of celestial objects from time series data – Temporal Astronomy
Reconstruct the shape of celestial objects (V455 Andromeda, accretion disk structure, white dwarf) from time series data using Bayesian inference.
Protected: Drones and 3D Model Reconstruction Technology
Drones and 3D model recovery technology (SfM, MVS) used for geographic information processing for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks
The Concept of a Real-Time Enterprise in Manufacturing
The Concept of a Real-Time Enterprise in Manufacturing
form The Concept of a Real-Time Enterprise in Manufactu...
Protected: Causal Inference with VAR Models (2)Multivariate Autoregressive (VAR) Models and Causal Inference with VAR Models
Multivariate autoregressive models (VAR models) and causal estimation using VARs in time series data analysis with state space models utilized in digital transformation, artificial intelligence and machine learning tasks
Protected: Causal Inference with VAR Model (1) Interpolation of missing data and DF and ADF tests
Overview of multivariate autoregressive models for finding causal relationships between two time series data in time series data analysis using state space models for digital transformation, artificial intelligence, and machine learning tasks, and completion of missing data using R and DF and ADF tests
Protected: Applications of State Space Models to Marketing
Application to marketing using evolution and evolution in time-series data analysis using state-space models utilized in digital transformation, artificial intelligence, and machine learning tasks.
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
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