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Cited by in F6Publishing
For: Fong J, Ocampo R, Gross DP, Tavakoli M. Intelligent Robotics Incorporating Machine Learning Algorithms for Improving Functional Capacity Evaluation and Occupational Rehabilitation. J Occup Rehabil 2020;30:362-70. [PMID: 32253595 DOI: 10.1007/s10926-020-09888-w] [Cited by in Crossref: 6] [Cited by in F6Publishing: 10] [Article Influence: 6.0] [Reference Citation Analysis]
Number Citing Articles
1 Ashurov A, Zhou Y, Shi L, Zhao Y, Liu H. Environmental Sound Classification Based on Transfer-Learning Techniques with Multiple Optimizers. Electronics 2022;11:2279. [DOI: 10.3390/electronics11152279] [Reference Citation Analysis]
2 Ding K, Zhang B, Ling Z, Chen J, Guo L, Xiong D, Wang J. Quantitative Evaluation System of Wrist Motor Function for Stroke Patients Based on Force Feedback. Sensors 2022;22:3368. [DOI: 10.3390/s22093368] [Reference Citation Analysis]
3 Chen X, Wei Z, He K. An Estimation of the Discharge Exponent of a Drip Irrigation Emitter by Response Surface Methodology and Machine Learning. Water 2022;14:1034. [DOI: 10.3390/w14071034] [Reference Citation Analysis]
4 Dzedzickis A, Subačiūtė-žemaitienė J, Šutinys E, Samukaitė-bubnienė U, Bučinskas V. Advanced Applications of Industrial Robotics: New Trends and Possibilities. Applied Sciences 2022;12:135. [DOI: 10.3390/app12010135] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
5 Six Dijkstra MWMC, Siebrand E, Dorrestijn S, Salomons EL, Reneman MF, Oosterveld FGJ, Soer R, Gross DP, Bieleman HJ. Ethical Considerations of Using Machine Learning for Decision Support in Occupational Health: An Example Involving Periodic Workers' Health Assessments. J Occup Rehabil 2020;30:343-53. [PMID: 32500471 DOI: 10.1007/s10926-020-09895-x] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
6 Bouteraa Y, Abdallah IB, Alnowaiser K, Ibrahim A. Smart solution for pain detection in remote rehabilitation. Alexandria Engineering Journal 2021;60:3485-500. [DOI: 10.1016/j.aej.2021.02.001] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
7 Nti IK, Adekoya AF, Weyori BA, Nyarko-boateng O. Applications of artificial intelligence in engineering and manufacturing: a systematic review. J Intell Manuf. [DOI: 10.1007/s10845-021-01771-6] [Cited by in Crossref: 6] [Cited by in F6Publishing: 11] [Article Influence: 6.0] [Reference Citation Analysis]
8 Atashzar SF, Carriere J, Tavakoli M. Review: How Can Intelligent Robots and Smart Mechatronic Modules Facilitate Remote Assessment, Assistance, and Rehabilitation for Isolated Adults With Neuro-Musculoskeletal Conditions? Front Robot AI 2021;8:610529. [PMID: 33912593 DOI: 10.3389/frobt.2021.610529] [Cited by in Crossref: 3] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
9 Carriere J, Shafi H, Brehon K, Pohar Manhas K, Churchill K, Ho C, Tavakoli M. Case Report: Utilizing AI and NLP to Assist with Healthcare and Rehabilitation During the COVID-19 Pandemic. Front Artif Intell 2021;4:613637. [PMID: 33733232 DOI: 10.3389/frai.2021.613637] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
10 Gross DP, Steenstra IA, Harrell FE Jr, Bellinger C, Zaïane O. Machine Learning for Work Disability Prevention: Introduction to the Special Series. J Occup Rehabil 2020;30:303-7. [PMID: 32623556 DOI: 10.1007/s10926-020-09910-1] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]