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A review on machine learning approaches and trends in drug discovery
(Research Network of Computational and Structural Biotechnology, 2021)
Abstract: Drug discovery aims at finding new compounds with specific chemical properties for the treatment of diseases. In the last years, the approach used in this search presents an important component in computer science ...
Random Forest-Based Prediction of Stroke Outcome
(Nature Research, 2021)
[Abstract] We research into the clinical, biochemical and neuroimaging factors associated with the outcome of stroke patients to generate a predictive model using machine learning techniques for prediction of mortality and ...
Deep Learning-Based Wave Overtopping Prediction
(MDPI, 2024-03-20)
[Abstract]: This paper analyses the application of deep learning techniques for predicting wave overtopping events in port environments using sea state and weather forecasts as inputs. The study was conducted in the outer ...
Efficient Implementation of Multilayer Perceptrons: Reducing Execution Time and Memory Consumption
(MDPI, 2024)
[Abstract]: A technique is presented that reduces the required memory of neural networks through improving weight storage. In contrast to traditional methods, which have an exponential memory overhead with the increase in ...
Artificial glial cells in artificial neuronal networks: a systematic review
(Springer Nature, 2023-11)
[Abstract]: The concept of tripartite synapses has revolutionized the world of neuroscience and the way we understand how information is transmitted in the brain. Since its discovery, some research groups have incorporated ...
Estimulación musical temprana en casa: propuesta de aplicación móvil
(REDINE, Red de Investigación e Innovación Educativa, 2020)
Machine Learning-Based Radon Monitoring System
(MDPI, 2022)
[Abstract] Radon (Rn) is a biological threat to cells due to its radioactivity. It is capable of penetrating the human body and damaging cellular DNA, causing mutations and interfering with cellular dynamics. Human exposure ...
