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New AI Model Diagnoses Brain Tumors With 99% Accuracy, Without Surgery
AI model crossNN identifies over 170 tumor types with high accuracy using genetic material, offering fast, non-invasive ...
SciELO12d
An evaluation of machine learning methods for speed-bump detection on a GoPro dataset - SciELO - Brasil
The contribution of this research is the evaluation of speed bump detection applying Machine Learning (ML) techniques using a dataset from a GoPro camera by a low-cost mobile mapping system. The ...
IEEE13d
Analysis Of Traffic Sign Recognition Using Artificial Neural Network Algorithm Compared With Accuracy Of Recurrent Neural Networks
The purpose of this work is to improve Traffic sign recognition using machine learning to improve comprehension of traffic signs. The Novel Artificial Neural Network (ANN) method is compared with ...
IEEE23d
Change Detection Network Based on Transformer and Transfer Learning
The purpose of the change detection(CD) task is to contrast the change information of a specific object in remote sensing images from different time periods. The deep-learning-based change-detection ...
C&EN29d
Using Machine Learning to Analyze Molecular Dynamics Simulations of Biomolecules
Machine learning (ML) techniques have become powerful tools in both industrial and academic settings. Their ability to facilitate analysis of complex data and generation of predictive insights is ...