Time Series Analysis in Compressor-Based Machines: A Survey

F Forbicini, NOP Vago, P Fraternali - arXiv preprint arXiv:2402.17802, 2024 - arxiv.org
In both industrial and residential contexts, compressor-based machines, such as
refrigerators, HVAC systems, heat pumps and chillers, are essential to fulfil production and …

An ensemble approach integrating LSTM and ARIMA models for enhanced financial market predictions

L Mochurad, A Dereviannyi - Royal Society Open …, 2024 - royalsocietypublishing.org
Forecasting financial markets is a complex task that requires addressing various challenges,
such as market complexity, data heterogeneity, the need for rapid response and constant …

[PDF][PDF] Enhancing Web Security Through Comprehensive Evaluation of SQL Injection Detection Models

A Jimoh, MK Ahmed, S Salihu, B Mod, MN Salihu - Development, 2024 - toknowpress.net
In the realm of cybersecurity, safeguarding web applications against SQLi attacks is
important; it remains a severe threat to web security, necessitating robust detection methods …

Perbandingan Metode Deep Learning dengan Model LSTM dan GRU untuk Prediksi Perubahan Iklim

A Mustofa, H Setiawan - Journal of Computer System and …, 2024 - ejurnal.seminar-id.com
Abstrak− Iklim memainkan peran kritis dalam menentukan kualitas kehidupan di Indonesia,
yang menuntut pemahaman mendalam melalui klasifikasi iklim Koppen dan teknologi …

Multivariate and multi-task deep learning architectures for improved stock market prediction and risk management

O Assaf - 2024 - centaur.reading.ac.uk
Effective investment requires adeptly managing trading activities that can adapt to diverse
market changes and risks. Key stock market metrics such as volatility, daily returns, and …

Forecasting Bank Nifty Close Prices: An Evaluation of Time Series and Hybrid Models

A Pushpakumar, D Mohan… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
In India's economy, the stock market plays a critical role. Making accurate stock price
predictions is crucial for both individuals and corporations, since it helps in guiding …

Predicting failures in industrial compressor-based machines

F Forbicini - 2022 - politesi.polimi.it
Abstract Non-neural Machine Learning (ML) and Deep Learning (DL) models are often used
to predict system failures in the context of industrial maintenance. However, only a few …

[PDF][PDF] Forecasting Index Prices Across the Three Stock Exchanges in Vietnam Using Statistical, Machine Learning, and Deep Learning Models

TTK Tien - researchgate.net
In current era, AI technology has made significant strides, with machine learning and deep
learning algorithms proving instrumental in trend analysis and stock price predictions. The …