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3D CN-LSTM for prediction of medical nanoparticle properties
(2021)
Cancer is an increasing and already one of the most common causes of deathin developed countries. One way to fight cancer tumours is with targeted anti-tumour drug delivering nanoparticles (NPs). NPs can be ...
Modeling molecular trajectories using long short-term memory with stacked state pooling
(2021)
Atomistic molecular dynamics can be used for simulating large molecular systems with great accuracy. The downside to this is that simulations are computationally expensive and thus take a long time to perform. Many times, ...
Defining a Machine Learning implementation for demand forecasting in Dental Tracking System
(Åbo Akademi, 2019)
In this document we conduct a comparison between the non-linear SVR (Support Vector Regressor) and the LSTM (Long-Short-Term Memory) Recurrent Neural models, for the prediction of dental assets demand on institutions using ...
Identifying Risk-Prone Behavior of Seafarers by Using Explainable AI
(2021)
Despite the advancements in technologies for maritime navigation, maritime acci-dents are still a big problem in the industry. Extensive research has been done tostudy these accidents and try to find solutions to avoid ...