A Review of Model Predictive Control in Precision Agriculture DOI Creative Commons
Erion Bwambale, Joshua Wanyama, Thomas Apusiga Adongo

et al.

Smart Agricultural Technology, Journal Year: 2024, Volume and Issue: unknown, P. 100716 - 100716

Published: Dec. 1, 2024

Language: Английский

Integration of Artificial Intelligence and Advanced Optimization Techniques for Continuous Gas Lift under Restricted Gas Supply: A Case Study DOI Creative Commons

Leila Zeinolabedini,

Forough Ameli, Abdolhossein Hemmati‐Sarapardeh

et al.

Digital Chemical Engineering, Journal Year: 2025, Volume and Issue: 14, P. 100220 - 100220

Published: Feb. 1, 2025

Language: Английский

Citations

0
Prediction of recurrent venous thromboembolism using a spatiotemporal phenomenological model and artificial neural network DOI
Mohamad Al Bannoud, Tiago Dias Martins, Silmara Aparecida de Lima Montalvão

et al.

Neural Computing and Applications, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 21, 2025

Language: Английский

Citations

0
Integrating biomarkers for hemostatic disorders into computational models of blood clot formation: A systematic review DOI Creative Commons
Mohamad Al Bannoud, Tiago Dias Martins, Silmara Aparecida de Lima Montalvão

et al.

Mathematical Biosciences & Engineering, Journal Year: 2024, Volume and Issue: 21(12), P. 7707 - 7739

Published: Jan. 1, 2024

In the pursuit of personalized medicine, there is a growing demand for computational models with parameters that are easily obtainable to accelerate development potential solutions. Blood tests, owing their affordability, accessibility, and routine use in healthcare, offer valuable biomarkers assessing hemostatic balance thrombotic bleeding disorders. Incorporating these into blood coagulation crucial creating patient-specific models, which allow analysis influence on clot formation. This systematic review aims examine how clinically relevant integrated formation, thereby advancing discussions integration methodologies, identifying current gaps, recommending future research directions. A was conducted following PRISMA protocol, focusing ten significant associated disorders: D-dimer, fibrinogen, Von Willebrand factor, factor Ⅷ, P-selectin, prothrombin time (PT), activated partial thromboplastin (APTT), antithrombin Ⅲ, protein C, S. By utilizing this set biomarkers, underscores emphasizes context venous thromboembolism hemophilia. Eligibility criteria included mathematical thrombin generation, clotting, or fibrin formation under flow, incorporating at least one biomarkers. total 53 articles were review. Results indicate commonly used such as PT, APTT rarely superficially models. Additionally, kinetic governing dynamics demonstrated variability across studies, discrepancies up 1, 000-fold. highlights critical gap availability based phenomenological first-principles approaches effectively incorporate affordable routinely clinical test results predicting coagulation. hinders practical tools application, often fail consider precise, values. limitation especially pronounced patients conditions hemophilia, C S deficiencies, deficiency. Addressing challenges by developing account medicine field hemostasis.

Language: Английский

Citations

1
A Review of Model Predictive Control in Precision Agriculture DOI Creative Commons
Erion Bwambale, Joshua Wanyama, Thomas Apusiga Adongo

et al.

Smart Agricultural Technology, Journal Year: 2024, Volume and Issue: unknown, P. 100716 - 100716

Published: Dec. 1, 2024

Language: Английский

Citations

0