This project enables the generation of novel, valid, and drug-like molecules as SMILES strings, using a two-stage approach: Stage 1: Train an LSTM model on a large SMILES dataset for next-token ...
In a new comparative analysis of artificial intelligence applications in retail, researchers have revealed that advanced deep learning models can dramatically enhance the accuracy of demand ...
Even though it might seem like Tesla has a lot going on—robotaxis, literal humanoid robots, and that ever-elusive affordable model that just keeps getting pushed back—its aging core lineup has only ...
College of Engineering and IT, University of Dubai, Dubai, United Arab Emirates Climate change has significantly impacted vulnerable communities globally, with rising temperatures caused by greenhouse ...
Abstract: Long Short-Term Memory (LSTM) networks are particularly useful in recommender systems since user preferences change over time. Unlike traditional recommender models which assume static ...
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 defined ...
ABSTRACT: Accurate precipitation forecasting is crucial for mitigating the impacts of extreme weather events and enhancing disaster preparedness. This study evaluates the performance of Long ...
Typically (but not always) found in specialized cars and motorcycles, a sequential manual transmission, often shortened to just "sequential," is a type of manual gearbox which, like a traditional ...
Introduction: The risk of mortality associated with cardiac arrhythmias is considerable, and their diagnosis presents significant challenges, often resulting in misdiagnosis. This situation highlights ...
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