Rodent Social Behavior Recognition Using a Global Context-Aware Vision Transformer Network [0.03%]
基于全局上下文感知视觉Transformer网络的老鼠社会行为识别方法
Muhammad Imran Sharif,Doina Caragea,Ahmed Iqbal
Muhammad Imran Sharif
Animal behavior recognition is an important research area that provides insights into areas such as neural functions, gene mutations, and drug efficacy, among others. The manual coding of behaviors based on video recordings is labor-intensi...
Artificial Intelligence at the Intersection of Chemistry and Materials Science [0.03%]
化学与材料科学交叉领域的机器学习
Tomas Gregan,Juraj Gregan
Tomas Gregan
Research on metal-organic frameworks (MOFs) bridges the fields of chemistry and materials science. MOFs consist of metal ions linked together by long organic molecules. These materials are known for their high porosity and large surface are...
Monitoring Substance Use with Fitbit Biosignals: A Case Study on Training Deep Learning Models Using Ecological Momentary Assessments and Passive Sensing [0.03%]
基于Fitbit生理信号监测物质滥用：一种结合生态瞬时评估和被动感知训练深度学习模型的方法研究
Shizhe Li,Chunzhi Fan,Ali Kargarandehkordi et al.
Shizhe Li et al.
Substance use disorders affect 17.3% of Americans. Digital health solutions that use machine learning to detect substance use from wearable biosignal data can eventually pave the way for real-time digital interventions. However, difficultie...
Audio-Based Emotion Recognition Using Self-Supervised Learning on an Engineered Feature Space [0.03%]
基于自监督学习的音频情感识别方法研究
Peranut Nimitsurachat,Peter Washington
Peranut Nimitsurachat
Emotion recognition models using audio input data can enable the development of interactive systems with applications in mental healthcare, marketing, gaming, and social media analysis. While the field of affective computing using audio dat...
Can Artificial Intelligence Aid Diagnosis by Teleguided Point-of-Care Ultrasound? A Pilot Study for Evaluating a Novel Computer Algorithm for COVID-19 Diagnosis Using Lung Ultrasound [0.03%]
人工智能辅助远程引导的床旁超声诊断吗？一项使用肺部超声诊断COVID-19的新计算机算法的研究
Laith R Sultan,Allison Haertter,Maryam Al-Hasani et al.
Laith R Sultan et al.
With the 2019 coronavirus disease (COVID-19) pandemic, there is an increasing demand for remote monitoring technologies to reduce patient and provider exposure. One field that has an increasing potential is teleguided ultrasound, where tele...
Can Sequential Images from the Same Object Be Used for Training Machine Learning Models? A Case Study for Detecting Liver Disease by Ultrasound Radiomics [0.03%]
同一对象的连续图像可以用于训练机器学习模型吗？基于超声影像组学检测肝病的案例研究
Laith R Sultan,Theodore W Cary,Maryam Al-Hasani et al.
Laith R Sultan et al.
Machine learning for medical imaging not only requires sufficient amounts of data for training and testing but also that the data be independent. It is common to see highly interdependent data whenever there are inherent correlations betwee...