Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

Abstract: Animal image classification is a crucial task in various domains, including wildlife monitoring, biodiversity conservation, and veterinary research. Traditional classification methods often ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

DES MOINES, Iowa — A large snake, believed to be a python, was sighted in Des Moines' Waterbury neighborhood, according to the Des Moines Police Department. DMPD's Animal Services Unit conducted ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The aim of this study was to analyze the proteomic differences in bone marrow aspirate ...

DUBAI, United Arab Emirates--(BUSINESS WIRE)--Dubai has launched the world’s first icon-based classification system to represent the level of human–machine collaboration in the process of producing ...

A trust apocalypse is here.Credit...By Maximilien Van Aertryck and Axel Danielson Supported by By Maximilien Van Aertryck and Axel Danielson Mr. Van Aertryck and Mr. Danielson are filmmakers. The ...

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.

Abstract: As a benchmark supervised learning algorithm, support vector machine (SVM) has drawn much attention and reported plenty of impressive results in hyperspectral images (HSIs) classification.