1. Application of machine learning technique-based time series models for prediction of groundwater level fluctuation to national groundwater monitoring network data

After first field tests, we expect electric passenger drones or eVTOL aircraft (short for electric vertical take-off and landing) to start providing commercial mobility

1 John Owen, Justification by Faith Alone, in The Works of John Owen, ed. John Bolt, trans. Scott Clark, "Do This and Live: Christ's Active Obedience as the

In the process, we explore machine learning approaches for robotic path planning, multi constrained optimal path computation and sensor based wearable assistive devices

• Program Context-Aware Data Separation Technique – Predicts update times of data based

Influence of time and rate of nitrogen application on production and botanical composition of forage.. Sudangrass and sorghum-sudangrass hybrids

Understanding assembly code and how it relates to the original C code is a key step in understanding how computers execute

data mining - process of applying machine learning, visualization, statistical analysis. knowledge discovery & construction - evaluation & interpretation of the extracted

We also propose the new method for recovering root forms using machine learning techniques like Naïve Bayes models in order to solve the latter problem..