AIMC Topic: Football

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Evaluation of the Quality of Football Teaching in Colleges and Universities Based on Artificial Neural Networks.

Computational intelligence and neuroscience May 27, 2022
Every country is developing under the concept of artificial intelligence. Many countries are already working on student monitoring systems that allow them to control the student's mentality and analyze each student's behavior with the help of a wirel...
Humans Students Universities Football Neural Networks, Computer Artificial Intelligence
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Rapid Estimation of Entire Brain Strain Using Deep Learning Models.

IEEE transactions on bio-medical engineering Oct 19, 2021
OBJECTIVE: Many recent studies suggest that brain deformation resulting from head impacts are linked to the corresponding clinical outcome, such as mild traumatic brain injury (mTBI). Even if several finite element (FE) head models have been develope...
Brain Head Biomechanical Phenomena Finite Element Analysis Humans Deep Learning Football
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From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning.

Sensors (Basel, Switzerland) Apr 28, 2021
The applicability of sensor-based human activity recognition in sports has been repeatedly shown for laboratory settings. However, the transferability to real-world scenarios cannot be granted due to limitations on data and evaluation methods. On the...
Laboratories Football Neural Networks, Computer Machine Learning Deep Learning Humans
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Analysing the predictive capacity and dose-response of wellness in load monitoring.

Journal of sports sciences Jan 6, 2021
This study aimed to identify the predictive capacity of wellness questionnaires on measures of training load using machine learning methods. The distributions of, and dose-response between, wellness and other load measures were also examined, offerin...
Sleep Affect Physical Conditioning, Human Football Motivation Sports Soccer Myalgia Perception Fatigue Wearable Electronic Devices Health Status Decision Trees Physical Exertion Regression Analysis Geographic Information Systems Surveys and Questionnaires Stress, Psychological Humans Machine Learning Cricket Sport
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Relationship between training load and recovery in collegiate American football players during pre-season training.

Science & medicine in football Dec 22, 2020
: The purpose of this study was to examine the relationship between training load and next-day recovery in collegiate American football (AF) players during pre-season.: Seventeen athletes (Linemen, n = 6; Non-linemen, n = 11) participated in the 14-d...
Universities Seasons Heart Rate Humans Football Athletes
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Instantaneous Whole-Brain Strain Estimation in Dynamic Head Impact.

Journal of neurotrauma Dec 14, 2020
Head injury models are notoriously time consuming and resource demanding in simulations, which prevents routine application. Here, we extend a convolutional neural network (CNN) to instantly estimate element-wise distribution of peak maximum principa...
Neural Networks, Computer Data Analysis Football Brain Humans Brain Concussion
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The use of technical-tactical and physical performance indicators to classify between levels of match-play in elite rugby league.

Science & medicine in football Sep 8, 2020
This study aimed to identify which physical and technical-tactical performance indicators (PI) can classify between levels of rugby league match-play. Data were collected from 46 European Super League (ESL) and 36 under-19 Academy (Academy) level mat...
Physical Functional Performance Football Athletic Performance Rugby Microtechnology
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Countermovement Jump Standards in Rugby League: What is a "Good" Performance?

Journal of strength and conditioning research Jul 16, 2020
McMahon, JJ, Lake, JP, Dos'Santos, T, Jones, PA, Thomasson, ML, and Comfort, P. Countermovement jump standards in rugby league: what is a "good" performance? J Strength Cond Res 36(6): 1691-1698, 2022-The countermovement jump (CMJ) is considered an i...
Rugby Body Height Humans Football Reference Values
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Motion Sensors-Based Machine Learning Approach for the Identification of Anterior Cruciate Ligament Gait Patterns in On-the-Field Activities in Rugby Players.

Sensors (Basel, Switzerland) May 27, 2020
Anterior cruciate ligament (ACL) injuries are common among athletes. Despite a successful return to sport (RTS) for most of the injured athletes, a significant proportion do not return to competitive levels, and thus RTS post ACL reconstruction still...
Male Recovery of Function Knee Joint Gait Bayes Theorem Humans Machine Learning Anterior Cruciate Ligament Athletic Injuries Football Anterior Cruciate Ligament Injuries
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Keeping it 100: Social Media and Self-Presentation in College Football Recruiting.

Big data Mar 13, 2019
Social media provides a platform for individuals to craft personal brands and influence their perception by others, including potential employers. Yet there remains a need for more research investigating the relationship between individuals' online i...
Soccer Humans Machine Learning Social Media Universities Football
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