An enhanced architecture of recurrent neural network based on Long Short-Term Memory
(LSTM) is suggested in this paper for predicting the microclimate inside the greenhouse …

In recent years, wireless sensor networks (WSN) have produced a large amount of data that
need to be processed, delivered, and assessed according to the application objectives. The …

A stochastic unscented Kalman filter is designed in an attempt to solve the state estimation
problem of the greenhouse climate control systems with missing measurements. The …

This study is on the development of an extended Kalman filter used in conjunction with a
nonlinear feedback controller for greenhouse climate control systems. In this paper, the …

An arithmetic of fast two-position initial alignment for Strapdown Inertial Navigation System
(SINS) using Unscented Kalman Filter (UKF) is proposed in this paper to solve the initial …

The initial alignment technology is one of the key technologies in the inertial navigation
system that influences the navigation accuracy directly. The initial alignment should be …

Signal processing in multi-constellation receivers is increasingly important for the
compatibility and interoperability of global navigation satellite system (GNSS). This paper …

In this paper, an unscented Kalman filter (UKF) is proposed in an integrated design
frameworks to utilize multi-sensor data fusion techniques for process fault monitoring. The …

× ØÖ Øº A new framework is presented for saliency based object detection in naturally
complex scenes. By identifying the ground-object structure through the scene images, in this …