This important study, which tackles the challenge of analyzing genome integrity and instability in unicellular pathogens by introducing a novel single-cell genomics approach, presents compelling ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite visibility. This study presents a new positioning ...

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has developed a new deep learning method that improves the classification accuracy of mixed ...

As the economy and society continue to develop, the range of underwater vehicles is expanding and technology is constantly being upgraded. Consequently, it is becoming increasingly difficult to ...

Introduction: Adolescent obesity has emerged as a critical global public health challenge, necessitating effective tools for early identification and intervention. This study aimed to identify ...

Abstract: Hierarchical Multilabel Classification (HMC) is a challenging task in information retrieval, especially within scientific textbooks, where the objective is to allocate multiple labels ...

[PT-BR: Implementação de um algoritmo genético para análise e otimização da estabilidade de encostas, associada a métodos determinísticos e probabilísticos.] - [EN: Implementation of a genetic ...

Cluster analysis can be used on symptom and behavior data to identify groups of similar individuals who may share underlying disease etiology or health risks. However, there are few clustering methods ...