Machine learning for suicidal ideation identification: A systematic literature review

WF Heckler, JV de Carvalho, JLV Barbosa - Computers in Human Behavior, 2022 - Elsevier
Suicide causes approximately one death every 40 s. Suicidal ideation is the first stage in the
risk scale, being a potential gate for suicide prevention. Machine learning emerged as a …

Machine learning and iot applied to cardiovascular diseases identification through heart sounds: A literature review

ISG Brites, LM da Silva, JLV Barbosa, SJ Rigo… - Informatics, 2021 - mdpi.com
This article presents a systematic mapping study dedicated to conduct a literature review on
machine learning and IoT applied in the identification of diseases through heart sounds …

Detecting offensive speech in conversational code-mixed dialogue on social media: A contextual dataset and benchmark experiments

H Madhu, S Satapara, S Modha, T Mandl… - Expert Systems with …, 2023 - Elsevier
Abstract The spread of Hate Speech on online platforms is a severe issue for societies and
requires the identification of offensive content by platforms. Research has modeled Hate …

An evidential software risk evaluation model

X Chen, Y Deng - Mathematics, 2022 - mdpi.com
Software risk management is an important factor in ensuring software quality. Therefore,
software risk assessment has become a significant and challenging research area. The aim …

[HTML][HTML] Technology management has a significant impact on digital transformation in the banking sector

LF Rodrigues, A Oliveira, H Rodrigues - International Review of Economics …, 2023 - Elsevier
Technology management and a good relationship among employees are vital keys to
assure any digital transformation process. We may therefore rightly ask “What are the main …

[HTML][HTML] LSTM-based failure prediction for railway rolling stock equipment

L De Simone, E Caputo, M Cinque, A Galli… - Expert Systems with …, 2023 - Elsevier
In the railway domain, rolling stock maintenance affects service operation time and
efficiency. Minimizing train unavailability is essential for reducing capital loss and …

A smart IoT-enabled heart disease monitoring system using meta-heuristic-based Fuzzy-LSTM model

NK Munagala, LRR Langoju, AD Rani… - biocybernetics and …, 2022 - Elsevier
A continuous heart disease monitoring system is one of the significant applications specified
by the Internet of Things (IoT). This goal might be achieved by combining sophisticated …

IndoorPlant: A model for intelligent services in indoor agriculture based on context histories

BG Martini, GA Helfer, JLV Barbosa… - Sensors, 2021 - mdpi.com
The application of ubiquitous computing has increased in recent years, especially due to the
development of technologies such as mobile computing, more accurate sensors, and …

Analysis of internet financial risks based on deep learning and BP neural network

Z Liu, G Du, S Zhou, H Lu, H Ji - Computational Economics, 2022 - Springer
The study aims to analyze and forecast Internet financial risks based on the model based on
deep learning and the Back Propagation Neural Network (BPNN). First, the theory of Internet …

Ambient intelligence based on IoT for assisting people with Alzheimer's disease through context histories

SD Machado, JER Tavares, MG Martins, JLV Barbosa… - Electronics, 2021 - mdpi.com
New Internet of Things (IoT) applications are enabling the development of projects that help
with monitoring people with different diseases in their daily lives. Alzheimer's is a disease …