Machine learning in concrete science: applications, challenges, and best practices

Z Li, J Yoon, R Zhang, F Rajabipour… - npj computational …, 2022 - nature.com
Concrete, as the most widely used construction material, is inextricably connected with
human development. Despite conceptual and methodological progress in concrete science …

A state-of-the-art review on machine learning-based multiscale modeling, simulation, homogenization and design of materials

D Bishara, Y ** review of technology-driven approaches to gait characterization and analysis
DM Mohan, AH Khandoker, SA Wasti… - Frontiers in …, 2021 - frontiersin.org
Background: Gait dysfunction or impairment is considered one of the most common and
devastating physiological consequences of stroke, and achieving optimal gait is a key goal …

On human-in-the-loop optimization of human–robot interaction

P Slade, C Atkeson, JM Donelan, H Houdijk… - Nature, 2024 - nature.com
From industrial exoskeletons to implantable medical devices, robots that interact closely with
people are poised to improve every aspect of our lives. Yet designing these systems is very …

A survey of human gait-based artificial intelligence applications

EJ Harris, IH Khoo, E Demircan - Frontiers in Robotics and AI, 2022 - frontiersin.org
We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …

A new method proposed for realizing human gait pattern recognition: Inspirations for the application of sports and clinical gait analysis

D Xu, H Zhou, W Quan, X Jiang, M Liang, S Li… - Gait & Posture, 2024 - Elsevier
Background Finding the best subset of gait features among biomechanical variables is
considered very important because of its ability to identify relevant sports and clinical gait …

[HTML][HTML] The role of machine learning in the primary prevention of work-related musculoskeletal disorders: A sco** review

VCH Chan, GB Ross, AL Clouthier, SL Fischer… - Applied Ergonomics, 2022 - Elsevier
To determine the applications of machine learning (ML) techniques used for the primary
prevention of work-related musculoskeletal disorders (WMSDs), a sco** review was …

Video-based human activity recognition using deep learning approaches

GAS Surek, LO Seman, SF Stefenon, VC Mariani… - Sensors, 2023 - mdpi.com
Due to its capacity to gather vast, high-level data about human activity from wearable or
stationary sensors, human activity recognition substantially impacts people's day-to-day …