Exercise & Fitness

Construction of Correlation Analysis Model of College Students' Sports Performance Based on Convolutional Neural Network.

This paper proposes a network model recurrent fully connected network (RFC-Net) based on recurrent full convolution and polarization change. RFC-Net enriches the network by reconstructing and fine-tuning the fully convolutional network and adding recurrent convolutions to it. By studying the data mining technology of multidimensional association rules, based on the existing algorithms, this paper ...

A Decision Tree Model for Analysis and Judgment of Lower Limb Movement Comfort Level.

To address the problem of ambiguity and one-sidedness in the evaluation of comprehensive comfort perceptions during lower limb exercise, this paper deconstructs the comfort perception into two dimensions: psychological comfort and physiological comfort. Firstly, we designed a fixed-length weightless lower limb squat exercise test to collect original psychological comfort data and physiological com...

Motion Recognition Based on Deep Learning and Human Joint Points.

In order to solve the problem that the traditional feature extraction methods rely on manual design, the research method is changed from the tradition...

Exploiting exercise electrocardiography to improve early diagnosis of atrial fibrillation with deep learning neural networks.

Atrial fibrillation (AF) is the most common type of sustained arrhythmia. It results from abnormal irregularities in the electrical performance of the...

Using deep transfer learning to detect scoliosis and spondylolisthesis from x-ray images.

Recent years have witnessed wider prevalence of vertebral column pathologies due to lifestyle changes, sedentary behaviors, or injuries. Spondylolisth...

A novel remaining useful life prediction method based on multi-support vector regression fusion and adaptive weight updating.

Remaining useful life prediction is of huge significance in preventing equipment malfunctions and reducing maintenance costs. Currently, machine learn...

Very low-volume interval training improves nonalcoholic fatty liver disease fibrosis score and cardiometabolic health in adults with obesity and metabolic syndrome.

Non-alcoholic fatty liver disease (NAFLD) and cardiometabolic disorders are highly prevalent in obese individuals. Physical exercise is an important e...

Exploring the Employment Quality Evaluation Model of Application-Oriented University Graduates by Deep Learning.

In view of the employment difficulties of college graduates, this paper analyzes the overflow of graduates in a particular period caused by the expans...

Soft pneumatic actuators for mimicking multi-axial femoropopliteal artery mechanobiology.

Tissue biomanufacturing aims to produce lab-grown stem cell grafts and biomimetic drug testing platforms but remains limited in its ability to recapit...

An unsupervised machine learning approach to evaluate sports facilities condition in primary school.

Sports facilities have been acknowledged as one of the crucial environmental factors for children's physical education, physical fitness, and particip...

Robotic CME in obese patients: advantage of robotic ultrasound scan for vascular dissection.

Complete mesocolic excision (CME) in right-sided colon cancers appears to confer oncological benefits compared to conventional colectomy. Identificati...

Fully Automated Abdominal CT Biomarkers for Type 2 Diabetes Using Deep Learning.

Background CT biomarkers both inside and outside the pancreas can potentially be used to diagnose type 2 diabetes mellitus. Previous studies on this t...

AI Denoising Significantly Enhances Image Quality and Diagnostic Confidence in Interventional Cone-Beam Computed Tomography.

(1) To investigate whether interventional cone-beam computed tomography (cbCT) could benefit from AI denoising, particularly with respect to patient b...

Development of an affordable, immersive model for robotic vaginal cuff closure: a randomized trial.

Safe and secure closure of the vaginal cuff is a critical component of a robotic assisted hysterectomy procedure. Our aim in this study is to develop ...

Machine Learning with Quantum Seagull Optimization Model for COVID-19 Chest X-Ray Image Classification.

Early and accurate detection of COVID-19 is an essential process to curb the spread of this deadly disease and its mortality rate. Chest radiology sca...

Image Recognition and Extraction of Students' Human Motion Features Based on Graph Neural Network.

In order to improve students' overall subhealth behavior, teenagers' physical health problems have attracted more and more attention. The state clearl...

Personalized Smart Clothing Design Based on Multimodal Visual Data Detection.

In the traditional clothing customization system, only the designer participates in the clothing design, and the style is single. In the face of numer...

Recognition of Human Body Feature Changes in Sports Health Based on Deep Learning.

With the rapid development of social economy and the extensive and in-depth development of national fitness activities, national physical fitness moni...

Vaxi-DL: A web-based deep learning server to identify potential vaccine candidates.

The development of a new vaccine is a challenging exercise involving several steps including computational studies, experimental work, and animal stud...

Artificial Intelligence-Enabled Medical Analysis for Intracranial Cerebral Hemorrhage Detection and Classification.

Intracranial hemorrhage (ICH) becomes a crucial healthcare emergency, which requires earlier detection and accurate assessment. Owing to the increased...