Long Short-Term Memory vs Gated Recurrent Unit: A Literature Review on the Performance of Deep Learning Methods in Temperature Time Series Forecasting
Temperature forecasting is a crucial aspect of meteorology and climate change studies, but
challenges arise due to the complexity of time series data involving seasonal patterns and …
challenges arise due to the complexity of time series data involving seasonal patterns and …
Noise level estimation and classification in hydrogen fuel cell-based distributed energy systems: A comprehensive analysis
Hydrogen fuel cells (FCs) are a critical clean energy technology significantly contributing to
carbon emission reduction and environmental sustainability. However, fuel cell-based …
carbon emission reduction and environmental sustainability. However, fuel cell-based …
[HTML][HTML] A Comprehensive Security Framework for Asymmetrical IoT Network Environments to Monitor and Classify Cyberattack via Machine Learning
The Internet of Things (IoT) is an important component of the smart environment, which
produces a large volume of data that is considered challenging to handle. In addition, the …
produces a large volume of data that is considered challenging to handle. In addition, the …
[PDF][PDF] LEVERAGING DEEP LEARNING MODEL WITH OPTIMIZATION ALGORITHM FOR HIGH UTILITY ITEMSET MINING IN TRANSACTIONAL DATA
GN SOWJANYA, MB Reddy - Journal of Theoretical and Applied Information …, 2024 - jatit.org
Mining patterns with higher utilization (or higher-utility itemset mining, HUIM) are believed
the main problem in the past few decades particularly in the market (For example …
the main problem in the past few decades particularly in the market (For example …