Mamunur Rashid

TL;DR: This article provides a comprehensive review of the state-of-the-art of a complete BCI system and a considerable number of popular BCI applications are reviewed in terms of electrophysiological control signals, feature extraction, classification algorithms, and performance evaluation metrics.

TL;DR: The review places particular emphasis on the application of EC process to remove pharmaceutical contaminants, and the operational parameters influencing EC efficiency with the electroanalysis techniques are described.

TL;DR: The results obtained herein demonstrated that the Faster R-CNN model offers a high-performing rice leaf infection identification system that could diagnose the most common rice diseases more precisely in real-time.

TL;DR: In this paper, a review on the use of machine learning algorithms to predict crop yield with special emphasis on palm oil yield prediction is presented, along with a brief discussion on the overview of widely used features and prediction algorithms.

TL;DR: Electrocorticography (ECoG) based motor imagery signal has been classified using long short-term memory (LSTM) and has achieved the utmost accuracy in comparison with other state-of-art methods that have employed the same data set.