Exercise & Fitness

Machine learning approaches for data-driven process monitoring of biological wastewater treatment plant: A review of research works on benchmark simulation model No. 1(BSM1).

In the past decade, machine learning techniques have seen wide industrial applications for design of...

Normalization Techniques in Training DNNs: Methodology, Analysis and Application.

Normalization techniques are essential for accelerating the training and improving the generalizatio...

The concepts of muscle activity generation driven by upper limb kinematics.

BACKGROUND: The underlying motivation of this work is to demonstrate that artificial muscle activity...

Impact of Obstructive Sleep Apnea Syndrome on Time to Complete Recovery of Continence After Robot-Assisted Radical Prostatectomy: A Propensity Score Matching Analysis.

Postoperative urinary incontinence after robot-assisted radical prostatectomy (RARP) represents a b...

Let's Chat (GPT) about the new age of fitness: are we ready for artificial intelligence?

Quadrifecta outcomes and their predictors following robotic radical prostatectomy: a study of newly established robotic center in India.

Active surveillance (AS), radical prostatectomy (RP), and radical radiotherapy (RT) are the three op...

Machine learning algorithms for identifying predictive variables of mortality risk following dementia diagnosis: a longitudinal cohort study.

Machine learning (ML) could have advantages over traditional statistical models in identifying risk ...

First case of robot-assisted radical cystectomy and intracorporeal neobladder reconstruction with the Hugo RAS system: step-by-step surgical setup and technique.

Robotic assisted radical cystectomy (RARC) is a standard option for the treatment of bladder cancer....

Game-based learning as training to use a chemotherapy preparation robot.

INTRODUCTION: In 2015, our university hospital pharmacy acquired the PharmaHelp robot system to auto...

CNN-LSTM Model for Recognizing Video-Recorded Actions Performed in a Traditional Chinese Exercise.

Identifying human actions from video data is an important problem in the fields of intelligent rehab...

Barriers and facilitators to physical activity and further digital exercise intervention among inactive British adolescents in secondary schools: a qualitative study with physical education teachers.

BACKGROUND: Previous studies indicated that physical education programs in schools were unsuccessful...

Knowledge in Motion: A Comprehensive Review of Evidence-Based Human Kinetics.

This comprehensive review examines critical aspects of evidence-based human kinetics, focusing on br...

Robot-assisted partial nephrectomy in morbidly obese patients: a VCQI database study.

To compare perioperative outcomes following robot-assisted partial nephrectomy (RAPN) in patients wi...

Counting Activities Using Weakly Labeled Raw Acceleration Data: A Variable-Length Sequence Approach with Deep Learning to Maintain Event Duration Flexibility.

This paper presents a novel approach for counting hand-performed activities using deep learning and ...

Intentional enterotomies: validation of a novel robotic surgery training exercise.

While laparoscopic simulation-based training is a well-established component of general surgery trai...

Determination of optimum intensity and duration of exercise based on the immune system response using a machine-learning model.

One of the important concerns in the field of exercise immunology is determining the appropriate int...

Prediction of oxygen uptake kinetics during heavy-intensity cycling exercise by machine learning analysis.

Nonintrusive estimation of oxygen uptake (V̇o) is possible with wearable sensor technology and artif...

Deep learning-based measurement of echocardiographic data and its application in the diagnosis of sudden cardiac death.

This study aimed to evaluate the potential of deep learning applied to the measurement of echocardio...

Advancing chemical carcinogenicity prediction modeling: opportunities and challenges.

Carcinogenicity assessment of any compound is a laborious and expensive exercise with several associ...

Judging facts, judging norms: Training machine learning models to judge humans requires a modified approach to labeling data.

As governments and industry turn to increased use of automated decision systems, it becomes essentia...

A Horizon Scan to Support Chemical Pollution-Related Policymaking for Sustainable and Climate-Resilient Economies.

While chemicals are vital to modern society through materials, agriculture, textiles, new technology...