Part quality manufactured by the laser powder bed fusion process is significantly affected by
porosity. Existing works of process–property relationships for porosity prediction require …

News media always pursue informing the public at large. It is impossible to overestimate the
significance of understanding the semantics of news coverage. Traditionally, a news text is …

Much news is available online, and not all is categorized. A few researchers have carried
out work on news classification in the past, and most of the work focused on fake news …

Artificial intelligence (AI) has advanced rapidly, but it has limited impact on biomedical text
understanding due to a lack of annotated datasets (aka few-shot learning). Multi-task …

Introduction Paddy leaf diseases have a catastrophic influence on the quality and quantity of
paddy grain production. The detection and identification of the intensity of various paddy …

Highlights•To develop conceptual framework using four phases for short text
categorization.•To propose hybrid convolutional CNN-LSTM for classifying the short text.•To …

The electroencephalogram (EEG) and surface electromyogram (sEMG) fusion has been
widely used in the detection of human movement intention for human–robot interaction, but …

Abstract Convolutional Neural Networks for text categorization allows the extraction of
features from the text represented through word embedding. The high dimensionality of the …

Through social media platforms and the internet, the world is becoming more and more
connected, and producing enormous amounts of data. Also, the texts are collected from …

Smart home users play a significant role to implement a demand response strategy in
managing the total power network by curtailing or shifting their electricity usage during peak …