LSTM and GRU Neural Networks as Models of Dynamical Processes Used in Predictive Control: A Comparison of Models Developed for Two Chemical Reactors

Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications

(2021) Amin Ullah et al.   APPLIED SOFT COMPUTING

LSTM-Based Model Predictive Control for Optimal Temperature Set-Point Planning

(2021) Byung-Ki Jeon et al.   Sustainability

Experimental Results on Actuator/Sensor Failures in Adaptive GPC Position Control

(2021) Dariusz Horla   Actuators

Low-Cost and Device-Free Human Activity Recognition Based on Hierarchical Learning Model

(2021) Jing Chen et al.   SENSORS

Evaluation of the Coherence of Polish Texts Using Neural Network Models

(2021) Sergii Telenyk et al.   Applied Sciences-Basel

A Deep Neural Network Model for Speaker Identification

(2021) Feng Ye et al.   Applied Sciences-Basel

Automated Classification of Mental Arithmetic Tasks Using Recurrent Neural Network and Entropy Features Obtained from Multi-Channel EEG Signals

(2021) Abhishek Varshney et al.   Electronics

Fast Real-Time Model Predictive Control for a Ball-on-Plate Process

(2021) Krzysztof Zarzycki et al.   SENSORS

A Spatio-Temporal Ensemble Deep Learning Architecture for Real-Time Defect Detection during Laser Welding on Low Power Embedded Computing Boards

(2021) Christian Knaak et al.   SENSORS

Anomaly Detection Using a Sliding Window Technique and Data Imputation with Machine Learning for Hydrological Time Series

(2021) Lattawit Kulanuwat et al.   Water

Real-Time AI-Based Informational Decision-Making Support System Utilizing Dynamic Text Sources

(2021) Azharul Islam et al.   Applied Sciences-Basel

Detecting Deception from Gaze and Speech Using a Multimodal Attention LSTM-Based Framework

(2021) Ascensión Gallardo-Antolín et al.   Applied Sciences-Basel

Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection

(2021) Joseph M. Ackerson et al.   Information (Switzerland)

IoT Based Architecture for Model Predictive Control of HVAC Systems in Smart Buildings

(2020) Raffaele Carli et al.   SENSORS

Improving the Accuracy of Automatic Facial Expression Recognition in Speaking Subjects with Deep Learning

(2020) Sathya Bursic et al.   Applied Sciences-Basel

Modelling and predictive control of a neutralisation reactor using sparse support vector machine Wiener models

(2016) Maciej Ławryńczuk   NEUROCOMPUTING

Practical nonlinear predictive control algorithms for neural Wiener models

(2013) Maciej Ławryńczuk   JOURNAL OF PROCESS CONTROL