2 天前 - … Also, many times it is not evaluated that the death event occurring at any place under
… perform predictive analytics and classification task is a key role of ML and deep learning. …

2 天前 - … intelligence with motion controllers with deep neural networks to identify various
vessels using pattern recognition. It is shown that machine learning … for unstructured data. …

2 天前 - … it is highly relevant to oceanic research. In this study, we propose a new data-driven
approach, leveraging deep learning … data, we employ transfer learning by first training the …

2 天前 - … Situated at the nexus of data science and artificial intelligence and computer
science, it is one of the fastest-growing technical topics of today. The creation of novel …

2 天前 - … It is a machine learning algorithm that improves predictive accuracy through the
combination of multiple decision trees [66]. ET produces a final prediction by combining the …

2 天前 - … -the-art machine learning and deep learning algorithms employed … It is based on
training with measurement data. … With the explosion of interest in data science over the past few …

2 天前 - … Through the insights gained in this study, it becomes possible to investigate the
future path and the challenges that LLMs should tackle. Additionally, they could offer …

2 天前 - … of brain glioma MRI data in purely data-driven deep learning algorithms has
presented … Comparing it to most well-known purely data-driven models, our method achieved …

2 天前 - … In this research, it was decided to focus on the automatic recognition of the heroes
and their position, because this aspect was considered to be the most interesting based on …

2 天前 - … selection through advanced data analytics and machine learning techniques. Among
… unseen data. Therefore, it appears that both the testing and training data achieve stable …