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Abstract: Conventional tide gauges have limitations in extreme weather due to their susceptibility to damage from high waves and storm surges, as well as potential inaccuracies caused by rapid changes ...
With the widespread application of lithium-ion batteries in electric vehicles and energy storage systems, health monitoring and remaining useful life prediction have become critical components of ...
Section 1: It is the conclusion of the legislature that in order to obtain accurate, detailed, and current information on the residents of this state, the state should conduct a census and not rely ...
Section 1. Purpose. Artificial intelligence (AI) is a foundational technology that will define the future of economic growth, national security, and global competitiveness for decades to come. The ...
Meta has refused to sign the European Union’s code of practice for its AI Act, weeks before the bloc’s rules for providers of general-purpose AI models take effect. “Europe is heading down the wrong ...
Hannah Dahlen receives funding from National Health and Medical Research Council, the Australian Research Council, and the Medical Research Future Fund. She is a member of the Australian College of ...
Abstract: Anomaly-based intelligent intrusion detection systems (IDS) employ advanced algorithms and deep learning (DL) techniques to monitor network traffic, system behavior, and user activities in ...
Understand LSTM working. Classify app reviews based on user feedback (ratings from 1 to 5). Content: Text of the review. Score: Rating score (between 1 and 5). The score column is the target variable, ...
A recent study published in the Water Resources Research journal discussed using a new deep learning framework — known as Long Short-Term Memory Station Approximated Models, or LSTM-SAM — to predict ...
ABSTRACT: This study proposes a hybrid modeling approach that integrates a Physics Informed Neural Network (PINN) and a long short-term memory (LSTM) network to predict river water temperature in a ...
Written by Ken Huang, CSA Fellow, Co-Chair of CSA AI Safety Working Groups and Dr. Ying-Jung Chen, Georgia Institute of Technology. This implementation guide provides a comprehensive, hands-on ...