Recent advances and applications of machine learning in experimental solid mechanics: A review

H Jin, E Zhang, HD Espinosa - Applied …, 2023 - asmedigitalcollection.asme.org
For many decades, experimental solid mechanics has played a crucial role in characterizing
and understanding the mechanical properties of natural and novel artificial materials …

Opportunities and adoption challenges of AI in the construction industry: A PRISMA review

M Regona, T Yigitcanlar, B Xia, RYM Li - Journal of open innovation …, 2022 - mdpi.com
Artificial intelligence (AI) is a powerful technology with a range of capabilities, which are
beginning to become apparent in all industries nowadays. The increased popularity of AI in …

Role of artificial intelligence and machine learning in interventional cardiology

S Subhan, J Malik, A ul Haq, MS Qadeer… - Current Problems in …, 2023 - Elsevier
Directed by 2 decades of technological processes and remodeling, the dynamic quality of
healthcare data combined with the progress of computational power has allowed for rapid …

[HTML][HTML] AI-assisted Screening and Prevention Programs for Diseases

M Farrokhi, A Moeini, F Taheri, M Farrokhi… - Kindle, 2023 - preferpub.org
AI-assisted screening and prevention programs have the potential to revolutionize disease
management and improve public health outcomes. By harnessing the power of artificial …

Feedforward backpropagation artificial neural networks for predicting mechanical responses in complex nonlinear structures: A study on a long bone

S Mouloodi, H Rahmanpanah, S Gohery… - Journal of the …, 2022 - Elsevier
Feedforward backpropagation artificial neural networks (ANNs) have been increasingly
employed in many engineering practices concerning materials modeling. Despite their …

Emotion and motion: Toward emotion recognition based on standing and walking

H Riemer, JV Joseph, AY Lee, R Riemer - Plos one, 2023 - journals.plos.org
Emotion recognition is key to interpersonal communication and to human–machine
interaction. Body expression may contribute to emotion recognition, but most past studies …

The use of deep learning algorithms to predict mechanical strain from linear acceleration and angular rates of motion recorded from a horse hoof during exercise

S Mouloodi, H Rahmanpanah, C Martin… - International Journal of …, 2022 - Elsevier
Mobility solutions offered by living creatures have inspired engineers to capture their
locomotion patterns and then develop novel animal-like robots that use legs for locomotion …

[PDF][PDF] A scoping review of machine learning techniques and their utilisation in predicting heart diseases

MM Mijwil, BS Shukur - Ibn AL-Haitham Journal For Pure and Applied …, 2022 - iasj.net
Heart diseases are diverse, common, and dangerous diseases that affect the heart's
function. They appear as a result of genetic factors or unhealthy practices. Furthermore, they …

Increased femoral anteversion does not lead to increased joint forces during gait in a cohort of adolescent patients

N Alexander, R Brunner, J Cip, E Viehweger… - … in Bioengineering and …, 2022 - frontiersin.org
Orthopedic complications were previously reported for patients with increased femoral
anteversion. A more comprehensive analysis of the influence of increased femoral …

Estimation of coconut maturity based on fuzzy neural network and sperm whale optimization

E El-Shafeiy, AA Abohany, WM Elmessery… - Neural Computing and …, 2023 - Springer
Coconut water is the clear liquid found inside coconuts, famous for rehydrating after exercise
or while suffering from a minor sickness. The essential issue tackled in this paper is how to …