Exercise & Fitness

Machine learning for cell type classification from single nucleus RNA sequencing data.

With the advent of single cell/nucleus RNA sequencing (sc/snRNA-seq), the field of cell phenotyping is now a data-driven exercise providing statistical evidence to support cell type/state categorization. However, the task of classifying cells into specific, well-defined categories with the empirical data provided by sc/snRNA-seq remains nontrivial due to the difficulty in determining specific diff...

Improved Harris Hawks Optimization with Hybrid Deep Learning Based Heating and Cooling Load Prediction on residential buildings.

In digital era, energy efficient building remains a hot research topic because of increasing concern regarding their environmental impact and energy consumption. Designing a suitable energy efficient building based on their layout namely overall areas, distribution of the glazing areas, orientation, height, and relative compactness. Such components directly impact the heating load (HL) and cooling...

Dynamic Database Design of Sports Quality Based on Genetic Data Algorithm and Artificial Intelligence.

According to the traditional data mining method, it is no longer applicable to obtain knowledge from the database, and the knowledge mined in the past...

Evaluation Method of Public Physical Training Quality Based on Global Topology Optimization Deep Learning Model.

In the quality evaluation of public sports training, the selected indicators are not comprehensive, resulting in some errors in the results of quality...

Three-Dimensional Foot Position Estimation Based on Footprint Shadow Image Processing and Deep Learning for Smart Trampoline Fitness System.

In the wake of COVID-19, the digital fitness market combining health equipment and ICT technologies is experiencing unexpected high growth. A smart tr...

Optimization of Residential Landscape Design and Supply Chain System Using Intelligent Fuzzy Cognitive Map and Genetic Algorithm.

This work intends to optimize residential landscape design and Supply Chain (SC) network systems. First, Fuzzy Cognitive Map (FCM) intelligent assista...

Towards Exercise Radiomics: Deep Neural Network-Based Automatic Analysis of Thermal Images Captured During Exercise.

Infrared thermography is increasingly applied in sports science due to promising observations regarding changes in skin's surface radiation temperatur...

Acute colonic flexures: the basis for developing an artificial intelligence-based tool for predicting the course of colonoscopy.

Tortuosity of the colon is an important parameter for predicting the course of colonoscopy. Computed tomography scans of the abdominal cavity were per...

Utility of Normalized Body Composition Areas, Derived From Outpatient Abdominal CT Using a Fully Automated Deep Learning Method, for Predicting Subsequent Cardiovascular Events.

CT-based body composition (BC) measurements have historically been too resource intensive to analyze for widespread use and have lacked robust compar...

Accident Liability Determination of Autonomous Driving Systems Based on Artificial Intelligence Technology and Its Impact on Public Mental Health.

With the rise of self-driving technology research, the establishment of a scientific and perfect legal restraint and supervision system for self-drivi...

Analysis of the Impact of the Development Level of Aerobics Movement on the Public Health of the Whole Population Based on Artificial Intelligence Technology.

With the enhancement of China's comprehensive national power and the improvement of people's living standards, health has become the goal that people ...

Utility of Fully Automated Body Composition Measures on Pretreatment Abdominal CT for Predicting Survival in Patients With Colorectal Cancer.

CT examinations contain opportunistic body composition data with potential prognostic utility. Previous studies have primarily used manual or semiaut...

Application of Smart Wearable Fitness Equipment and Smart Health Management Based on the Improved Algorithm.

IoT technology has scientific, advanced, and practical characteristics in wearable fitness equipment and artificial intelligence health management. On...

Deep-Learning-Based Automatic Selection of Fewest Channels for Brain-Machine Interfaces.

Due to the development of convenient brain-machine interfaces (BMIs), the automatic selection of a minimum channel (electrode) set has attracted incre...

Nature-Inspired Search Method and Custom Waste Object Detection and Classification Model for Smart Waste Bin.

Waste management is one of the challenges facing countries globally, leading to the need for innovative ways to design and operationalize smart waste ...

Experimental exploration of a ribozyme neutral network using evolutionary algorithm and deep learning.

A neutral network connects all genotypes with equivalent phenotypes in a fitness landscape and plays an important role in the mutational robustness an...

Novel Crow Swarm Optimization Algorithm and Selection Approach for Optimal Deep Learning COVID-19 Diagnostic Model.

Due to the COVID-19 pandemic, computerized COVID-19 diagnosis studies are proliferating. The diversity of COVID-19 models raises the questions of whic...

The Artificial Intelligence System for the Generation of Sports Education Guidance Model and Physical Fitness Evaluation Under Deep Learning.

In recent years, China's achievements in artificial intelligence (AI) have attracted the attention of the world, and AI technology has penetrated into...

Big data-driven intelligent governance of college students' physical health: System and strategy.

With the development of information technology, the application of a new generation of information technologies, such as big data, Internet Plus, and ...

Estimation of Functional Fitness of Korean Older Adults Using Machine Learning Techniques: The National Fitness Award 2015-2019.

Measuring functional fitness (FF) to track the decline in physical abilities is important in order to maintain a healthy life in old age. This paper a...