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Editorial: Integration of Machine Learning and Computer Simulation in Solving Complex Physiological and Medical Questions

Gary An, Michael Döllinger, Nicole Y. K. Li-Jessen
2022 Frontiers in Physiology  
Editorial on the Research Topic Integration of Machine Learning and Computer Simulation in Solving Complex Physiological and Medical Questions BACKGROUND This Research Topic, "Integration of Machine Learning  ...  High-fidelity MSMs can contain very large numbers of parameters, which poses challenges to effective parameterization and/or parameter space exploration, and can present prohibitive computational costs  ...  MACHINE LEARNING AS SURROGATE MODELS OF COMPLEX MECHANISTIC MODELS Developing "lighter weight" surrogate models of complex MSMs would enhance the computational efficiency of simulation experiments.  ... 
doi:10.3389/fphys.2022.949771 pmid:35864898 pmcid:PMC9294637 fatcat:nvhyjv2r5fbjvpx7pto6eostou

Transformation of Drug Discovery towards Artificial Intelligence: An in Silico Approach [chapter]

Ruby Srivastava
2021 Density Functional Theory - Recent Advances, New Perspectives and Applications [Working Title]  
This chapter elaborates the crosstalk between the machine learning techniques, computational tools and the future of AI in the pharmaceutical industry.  ...  Computational methods play a key role in the design of therapeutically important molecules for modern drug development.  ...  Shrish Tiwari, Bioinformatics, CSIR-Centre for Cellular and Molecular Biology, Hyderabad and Dr. G. Narahari Sastry, Director, NEIST for the technical support.  ... 
doi:10.5772/intechopen.99018 fatcat:eyhgxoz2xrcbhiiguum5zinzgi

Optimization Method of Integrated Light-Screen Array with External Parameters Based on Genetic Algorithm

Rui Chen, BoWen Ji, Ding Chen, ChenXi Duan, Thippa Reddy G
2021 Wireless Communications and Mobile Computing  
The deviation between the projectile hole and the light-screen array measurement coordinates is used to build an inversion database for the genetic algorithm during the machine learning process.  ...  the light-screen array principle directly and can also provide a reference for the optimization and parameter identification in other engineering problems.  ...  and participate in machine learning algorithms instead of simulation data.  ... 
doi:10.1155/2021/2953827 fatcat:vey7iihs4faqhffxv6bxcfh7v4

The Vision-Based Data Reader in IoT System for Smart Factory

Tse-Chuan Hsu, Yao-Hong Tsai, Dong-Meau Chang
2022 Applied Sciences  
in edge computing.  ...  A simple camera embedded in Field Programmable Gate Array (FPGA) was attached to monitor the screen on the control panel of the machines.  ...  For the simulation of a VDR system, the data of the machine condition was shown in a panel screen monitored by the VDR system and the corresponding machine parameter adjusting suggestion responded in real-time  ... 
doi:10.3390/app12136586 fatcat:3bxmozk5wjhzrmrtckybu3d3eq

Simulation-based learning tool for facilities design

Bala Ram, Rajiv Girdhar
1996 Proceedings of the 28th conference on Winter simulation - WSC '96  
This paper describes a tool, LAYSIM, to emphasize to the students the important role of material handling cost in choosing the type of layout; i.e., Product, Jobshop or Group Technology-based layout for  ...  The paper describes the underlying learning model, development of the LAYSIM, the features of LAYSIM and the proposed dissemination technique.  ...  A sample screen for a model in ProModel shown in Figure 6 . On the simulation screen several different views have been defined.  ... 
doi:10.1145/256562.256981 fatcat:izek6vpodra3fh5t27gi27tmpq

Innovative Vocational Didactics Aimed at the Preparation of Staff According to Industry 4.0 and Europe 2020

Dagmara KOWALIK, Bohdan RUSYN
2017 DEStech Transactions on Social Science Education and Human Science  
In the article the authors show designed real didactic stands for e-learning process in the virtual laboratory.  ...  They compare the way of learning with the use of real panels for the operator, which are the parts of an individual machine and the animation programme.  ...  In the second case, the didactic stand must be equipped with the machine panel for the operator or its simulator.  ... 
doi:10.12783/dtssehs/ermm2017/14671 fatcat:wanrq53nfbbbvobvelab3oy5bm

Chemically intuited, large-scale screening of MOFs by machine learning techniques

Giorgos Borboudakis, Taxiarchis Stergiannakos, Maria Frysali, Emmanuel Klontzas, Ioannis Tsamardinos, George E. Froudakis
2017 npj Computational Materials  
A novel computational methodology for large-scale screening of MOFs is applied to gas storage with the use of machine learning technologies.  ...  The results demonstrate that the chemical properties of MOFs are indeed predictable (stochastically, not deterministically) using machine learning methods and automated analysis protocols, with the accuracy  ...  ACKNOWLEDGEMENTS This research has been co-financed by the European Union (European Social Fund -ESF) and Greek national funds through the Operational Program "Education and Lifelong Learning" of the National  ... 
doi:10.1038/s41524-017-0045-8 fatcat:6khyum4dfjg33etots4oq5pjja

Development of a cyber-physical system to monitor early failures detection in vibrating screens

Pablo Aqueveque, Luciano Radrigan, Anibal S. Morales, Eduardo Willenbrinck
2021 IEEE Access  
19 Luciano Radrigan would like to thank ANID for its support through the scholarship ANID/ Becas de Doctorado Nacional/2021-21210655.  ...  Considering the design boundary conditions of data requirement and computation time, the best machine learning algorithms for the application should not require a significant computational capacity, must  ...  The machine learning algorithms chosen for machine health status classification during vibrating screen operations are Naïve Baye and Support Vector Machine (SVM).  ... 
doi:10.1109/access.2021.3118283 fatcat:vsqh2iyr4renplbhj34wtspoka

Scalable machine learning-assisted model exploration and inference using Sciope

Prashant Singh, Fredrik Wrede, Andreas Hellander, Pier Luigi Martelli
2020 Bioinformatics  
Sciope is designed to support new algorithms for machine-learning assisted model exploration and likelihood-free inference.  ...  Recently, machine-learning assisted methods have shown great promise to handle larger, more complex models.  ...  In model parameter space exploration, the modeller's objective is to use the simulator to screen for different qualitative behaviours displayed by the model under large variations in parameters.  ... 
doi:10.1093/bioinformatics/btaa673 pmid:32706854 pmcid:PMC8055224 fatcat:nnssvkymv5hfrlphxoqscaavaq

SWIFT-Active Screener: Accelerated document screening through active learning and integrated recall estimation

Brian E. Howard, Jason Phillips, Arpit Tandon, Adyasha Maharana, Rebecca Elmore, Deepak Mav, Alex Sedykh, Kristina Thayer, B. Alex Merrick, Vickie Walker, Andrew Rooney, Ruchir R. Shah
2020 Environment International  
To prioritize articles for review, SWIFT-Active Screener uses active learning, a type of machine learning that incorporates user feedback during screening.  ...  Moreover, the integration of explicit recall estimation during screening solves an important challenge faced by all machine learning systems for document screening: when to stop screening a prioritized  ...  Authors BEH, JP, AT, AM, RRS were supported, in part, by SBIR grant 1R43ES029001-01 for development of the methodology and software.  ... 
doi:10.1016/j.envint.2020.105623 pmid:32203803 pmcid:PMC8082972 fatcat:ajhqv7yeavesvnha4qoxgyf27u

nap: A molecular dynamics package with parameter-optimization programs for classical and machine-learning potentials

Ryo Kobayashi
2021 Journal of Open Source Software  
and machine-learning potentials.  ...  programs: one for classical (CL) potentials ( and another for machine-learning (ML) potentials (fitpot).  ...  Kobayashi, R., (2021) . nap: A molecular dynamics package with parameter-optimization programs for classical and machine-learning potentials.  ... 
doi:10.21105/joss.02768 fatcat:7wbxbr7cmjfe3mtd5vjezm4azu

Page 86 of Interactive Learning International : ILI Vol. 4, Issue 3-4 [page]

1987 Interactive Learning International : ILI  
It was decided to try to develop a computer version of certain aspects of this simulation for training purposes. Both the simulations involve several players.  ...  The amount of information displayed on the screen at any one time was severely restricted and the language 86 Interactive Learning International, Vol. 4, Nos. 3&4, 1987  ... 

Teaching manufacturing processes using computer animation

Marek Balazinski, Aleksander Przybylo
2005 Journal of manufacturing systems  
To address these challenges, computer-controlled animations and simulations are proposed for specific processes of interest.  ...  In addition, long laboratory sessions are required to help students understand them.  ...  ACKNOWLEDGMENT The work presented in this paper was conducted with the support of the Teaching and Learning Center of the École Polytechnique de Montréal, which the authors greatly appreciate.  ... 
doi:10.1016/s0278-6125(06)80013-0 fatcat:irojqtmsivetrkuk6zqgqpwajm

Page 57 of for Learning Vol. 15, Issue 2 [page]

1985 for Learning  
Simulation/Games for Learning Vol 15 No 2 June 1985 Association’s TOP MANAGEMENT SIMULATION of 1956, employed a computer to carry out the end-of-round calculations as swiftly as possible.  ...  Machine simulations are run entirely on the computer; here the model and the data in their entirety are built into the computer program.  ... 

CodeAPeel: An Integrated and Layered Learning Technology For Computer Architecture Courses [article]

A. Yavuz Oruc, A. Atmaca, Y. Nevzat Sengun, A. Semi Yenimol
2021 arXiv   pre-print
This paper introduces a versatile, multi-layered technology to help support teaching and learning core computer architecture concepts.  ...  This technology, called CodeAPeel is already implemented in one particular form to describe instruction processing in compiler, assembly, and machine layers of a generic instruction set architecture by  ...  The user interface was originally created in a much simpler form in CodeMill, the forerunner of CodeAPeel-C.  ... 
arXiv:2104.09502v4 fatcat:eiezujtvs5dfvd34t4ye7tndli
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