Academic literature on the topic 'Sequential training'

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Journal articles on the topic "Sequential training"

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Colombetti, Marco, and Marco Dorigo. "Training Agents to Perform Sequential Behavior." Adaptive Behavior 2, no. 3 (1994): 247–75. http://dx.doi.org/10.1177/105971239400200302.

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Lewis, David D. "A sequential algorithm for training text classifiers." ACM SIGIR Forum 29, no. 2 (1995): 13–19. http://dx.doi.org/10.1145/219587.219592.

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Thompson, D. E., and Sunggyu Kwon. "Neighborhood sequential and random training techniques for CMAC." IEEE Transactions on Neural Networks 6, no. 1 (1995): 196–202. http://dx.doi.org/10.1109/72.363437.

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Frances-Villora, Jose V., Alfredo Rosado-Muñoz, Manuel Bataller-Mompean, Juan Barrios-Aviles, and Juan F. Guerrero-Martinez. "Moving Learning Machine towards Fast Real-Time Applications: A High-Speed FPGA-Based Implementation of the OS-ELM Training Algorithm." Electronics 7, no. 11 (2018): 308. http://dx.doi.org/10.3390/electronics7110308.

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Currently, there are some emerging online learning applications handling data streams in real-time. The On-line Sequential Extreme Learning Machine (OS-ELM) has been successfully used in real-time condition prediction applications because of its good generalization performance at an extreme learning speed, but the number of trainings by a second (training frequency) achieved in these continuous learning applications has to be further reduced. This paper proposes a performance-optimized implementation of the OS-ELM training algorithm when it is applied to real-time applications. In this case, t
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Xu, Youjiang, Yahong Han, Richang Hong, and Qi Tian. "Sequential Video VLAD: Training the Aggregation Locally and Temporally." IEEE Transactions on Image Processing 27, no. 10 (2018): 4933–44. http://dx.doi.org/10.1109/tip.2018.2846664.

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Du, Xu, John Tadrous, and Ashutosh Sabharwal. "Sequential Beamforming for Multiuser MIMO With Full-Duplex Training." IEEE Transactions on Wireless Communications 15, no. 12 (2016): 8551–64. http://dx.doi.org/10.1109/twc.2016.2616338.

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Ñanculef, Ricardo, Carlos Valle, Héctor Allende, and Claudio Moraga. "Training regression ensembles by sequential target correction and resampling." Information Sciences 195 (July 2012): 154–74. http://dx.doi.org/10.1016/j.ins.2012.01.035.

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Dai, Di, Huaxiong Li, Xiuyi Jia, Xianzhong Zhou, Bing Huang, and Sunning Liang. "A co-training approach for sequential three-way decisions." International Journal of Machine Learning and Cybernetics 11, no. 5 (2020): 1129–39. http://dx.doi.org/10.1007/s13042-020-01086-7.

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Tsang, William W. N., Kelly L. Gao, K. M. Chan, Sheila Purves, Duncan J. Macfarlane, and Shirley S. M. Fong. "Sitting Tai Chi Improves the Balance Control and Muscle Strength of Community-Dwelling Persons with Spinal Cord Injuries: A Pilot Study." Evidence-Based Complementary and Alternative Medicine 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/523852.

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Objective. To investigate the effects of sitting Tai Chi on muscle strength, balance control, and quality of life (QOL) among survivors with spinal cord injuries (SCI).Methods. Eleven SCI survivors participated in the sitting Tai Chi training (90 minutes/session, 2 times/week for 12 weeks) and eight SCI survivors acted as controls. Dynamic sitting balance was evaluated using limits of stability test and a sequential weight shifting test in sitting. Handgrip strength was also tested using a hand-held dynamometer. QOL was measured using the World Health Organization’s Quality of Life Scale.Resul
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Vinterbo, S., and L. Ohno-Machado. "Effects of Case Removal in Prognostic Models." Methods of Information in Medicine 40, no. 01 (2001): 32–38. http://dx.doi.org/10.1055/s-0038-1634461.

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AbstractConstructing and updating prognostic models that learn from training cases is a time-consuming task. The more compact, and yet informative, the training sets are, the faster one can build and properly evaluate such models. We have compared different regression diagnostic methods for selection and removal of training cases in prognostic models. Univariate determinations were performed using classical regression diagnostic statistics. Multivariate determinations were performed using (1) a sequential “backward” selection of cases, and (2) a non-sequential genetic algorithm. The genetic al
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Dissertations / Theses on the topic "Sequential training"

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Shadafan, Raed Salem. "Sequential training of multilayer perceptron classifiers." Thesis, University of Cambridge, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387686.

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Bardolet, Pettersson Susana. "Managing imbalanced training data by sequential segmentation in machine learning." Thesis, Linköpings universitet, Avdelningen för medicinsk teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-155091.

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Imbalanced training data is a common problem in machine learning applications. Thisproblem refers to datasets in which the foreground pixels are significantly fewer thanthe background pixels. By training a machine learning model with imbalanced data, theresult is typically a model that classifies all pixels as the background class. A result thatindicates no presence of a specific condition when it is actually present is particularlyundesired in medical imaging applications. This project proposes a sequential system oftwo fully convolutional neural networks to tackle the problem. Semantic segme
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Chen, Lihui. "Modelling continuous sequential behaviour to enhance training and generalization in neural networks." Thesis, University of St Andrews, 1993. http://hdl.handle.net/10023/13485.

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This thesis is a conceptual and empirical approach to embody modelling of continuous sequential behaviour in neural learning. The aim is to enhance the feasibility of training and capacity for generalisation. By examining the sequential aspects of the passing of time in a neural network, it is suggested that an alteration to the usual goal weight condition may be made to model these aspects. The notion of a goal weight path is introduced, with a path-based backpropagation (PBP) framework being proposed. Two models using PBP have been investigated in the thesis. One is called Feedforward Contin
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Ramezani, Amir Bodenhamer-Davis Eugenia. "The effects of sequential versus referential montage neurofeedback amplitude training on QEEG measures of phase and coherence." [Denton, Tex.] : University of North Texas, 2008. http://digital.library.unt.edu/permalink/meta-dc-9048.

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Österdahl, Gabriel, and Christian Hånberg. "Cross-Cultural Training of Expatriates : A Case Study of Ericsson." Thesis, Uppsala University, Department of Business Studies, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-106947.

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<p>Adjustment to a new culture is a slow and step-wise process, which can be facilitated by cross-cultural training. First, a comprehensive review of current theories about cross-cultural adjustment and different training techniques is presented. Then, the study looks at the preparation and training of expatriates at Ericsson in relation to these theories. In-depth interviews with two Area Managers at Ericsson have been carried out in order to establish how the company’s training program is structured. We found that Ericsson follows a sequential model with both pre-departure and post-arrival t
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MacKinnon, Susan L. M. "Sequential resistance and aerobic training in older males, effects on muscular strength and aerobic power." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1996. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ51557.pdf.

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Huggins, Catherine. "EVALUATING THE PEAK: RELATIONAL TRAINING SYSTEM IN TEACHING REFLEXIVITY TO CHILDREN WITH AUTISM SPECTRUM DISORDER." OpenSIUC, 2017. https://opensiuc.lib.siu.edu/theses/2108.

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The present study investigates the language phenomenon of stimulus equivalence in children with Autism Spectrum Disorder. Stimulus equivalence is comprised of 3 main concepts: reflexivity, symmetry, and transitivity. Specifically, the researcher evaluated the ability to teach, test, and transfer sequential reflexivity across two participants. Two 4-year-old children diagnosed with Autism Spectrum Disorder participated in the study. Methods were derived from the program: Reflexivity: Pictures – 2A, along with a yes/no response modification to suite both of the participant’s current level of
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Reed, Andrea Catherine. "An exploration of the sequential cascade of changes in parenting practices engendered by Parent Management Training – Oregon." Diss., Wichita State University, 2011. http://hdl.handle.net/10057/5153.

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The goal of this research is to better understand the sequencing and timing of changes in parenting behaviors engendered by PMTO, and the transactional interaction among those changes. Focusing on the treatment group, the increases in positive parenting at 12 months post baseline facilitate better subsequent monitoring and lower subsequent levels of coercive parenting, and lower levels of coercive parenting facilitates better monitoring. In terms of ensuring more effective and efficient interventions, it appears that PMTO's current curriculum of introducing positive parenting skills pri
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Ramezani, Amir. "The Effects of Sequential Versus Referential Montage Neurofeedback Amplitude Training on Qeeg Measures of Phase and Coherence." Thesis, University of North Texas, 2008. https://digital.library.unt.edu/ark:/67531/metadc9048/.

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An important clinical research question to be answered in the field of neurofeedback (NF) is whether amplitude training affects connectivity between cortical sites. This study hypothesizes that, following NF amplitude training, there will be a difference in QEEG coherence and phase measures between NF training done using referential montages and using sequential montages. The study examined case files of 16 adult clients from the University of North Texas Neurotherapy Lab who had received NF training that consisted of either referential or sequential placement amplitude training (no coherence
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Tong, Peter, and mail@petertong com. "Application of Genetic Algorithm to a Forced Landing Manoeuvre on Transfer of Training Analysis." RMIT University. Aerospace, Mechanical and Manufacturing Engineering, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080528.114140.

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This study raises some issues for training pilots to fly forced landings and examines the impact that these issues may have on the design of simulators for such training. It focuses on flight trajectories that a pilot of a single-engine general aviation aircraft should fly after engine failure and how pilots can be better simulator trained for this forced landing manoeuvre. A sensitivity study on the effects of errors and an investigation on the effect of tolerances in the aerodynamic parameters as prescribed in the Manual of Criteria for the Qualification of Flight Simulators have on the pe
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Books on the topic "Sequential training"

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Diane, Ullius, and American Society for Training and Development., eds. Designing powerful training: The sequential-iterative model. Jossey-Bass/Pfeiffer, 1998.

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Ward, Ann Maura. Visual sequential memory training and reading in hearing-impaired children. The Author], 1989.

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Kanke, Viktor. History of Philosophy. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/929952.

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The textbook is a sequential course in the history of philosophy. The history of philosophical innovations from antiquity to the present day is considered. The content of the philosophy of Antiquity, the Middle Ages, the Renaissance, Modern times, and the XIX century is presented. Special attention is paid to the main philosophical trends of the twentieth century, as well as Russian philosophy, including the Soviet period. The course is based on the achievements of modern science, as well as analytical philosophy, phenomenology, hermeneutics, poststructuralism and other major philosophical tre
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Milano, Michael, and Diane Ullius. Designing Powerful Training: The Sequential-Iterative Model. Center for Creative Leadership, 2008.

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Temporal organization in sequential movements: Task and training effects. 1992.

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International Human Resource Management: Sequential Cross Cultural Training Sociocultural and Psychological Adjustment. Nova Science Publishers, Incorporated, 2020.

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Papademetriou, Christos. International Human Resource Management: Sequential Cross Cultural Training - Sociocultural and Psychological Adjustment. Nova Science Publishers, Incorporated, 2020.

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Sequential resistance and aerobic training in older males: Effects on muscular strength and aerobic power. National Library of Canada, 1996.

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Arena, John. Monitor: An Auditory Sequential Memory Training Program : With Reproductible Exercises : With Word Cards in a Plastic Case. Academic Therapy Pubns, 1999.

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Dalziel, Paul. Education and Qualifications as Skills. Edited by John Buchanan, David Finegold, Ken Mayhew, and Chris Warhurst. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199655366.013.7.

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The chapter begins with an introduction of the basic Mincer, Shultz and Becker human capital model. Section 2 discusses two theories that question the model’s link between education and labour market skills. The first theory argues that the education is a device to signal to potential employers that the individual has high natural abilities that are unobservable to the employer while the second argues that education sorts workers into different labour markets that are segmented by wider socio-economic forces. Section 3 considers two more recent developments. The first involves sequential analy
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Book chapters on the topic "Sequential training"

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Shi, Jianxun. "The Sequential Process: Gradual Training." In The Humanities in Asia. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1152-0_4.

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Akhand, M. A. H., and Kazuyuki Murase. "Neural Network Ensemble Training by Sequential Interaction." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74690-4_11.

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Lewis, David D., and William A. Gale. "A Sequential Algorithm for Training Text Classifiers." In SIGIR ’94. Springer London, 1994. http://dx.doi.org/10.1007/978-1-4471-2099-5_1.

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Lu, Guangben, Ziheng Zhao, Xiaofeng Gao, and Guihai Chen. "SRecGAN: Pairwise Adversarial Training for Sequential Recommendation." In Database Systems for Advanced Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73200-4_2.

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Zhang, Jie, and A. Julian Morris. "A Sequential Training Strategy for Locally Recurrent Neural Networks." In Intelligent Hybrid Systems. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6191-0_10.

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Zhang, Tuanfeng, T. Switzer, and Andre G. Journel. "Sequential Conditional Simulation Using Classification of Local Training Patterns." In Geostatistics Banff 2004. Springer Netherlands, 2005. http://dx.doi.org/10.1007/978-1-4020-3610-1_27.

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Huang, Seth H., Wenjing Xu, and Lingjie Xu. "Generating Synthetic Sequential Data for Enhanced Model Training: A Generative Adversarial Net Framework." In Fintech with Artificial Intelligence, Big Data, and Blockchain. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6137-9_6.

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Wang, Li, Yaozong Gao, Gang Li, Feng Shi, Weili Lin, and Dinggang Shen. "LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images." In Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61188-4_3.

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Hayashi, Shohei, Bisser Raytchev, Toru Tamaki, and Kazufumi Kaneda. "Biomedical Image Segmentation by Retina-Like Sequential Attention Mechanism Using only a Few Training Images." In Machine Learning in Medical Imaging. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32692-0_33.

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Sharpe, Tom, Daniel Balderson, and Hosung So. "Training Professionals Using Sequential Behavior Analysis." In Evidence-Based Educational Methods. Elsevier, 2004. http://dx.doi.org/10.1016/b978-012506041-7/50019-x.

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Conference papers on the topic "Sequential training"

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Markovic, Ivica M., and Branimir T. Todorovic. "Sequential training of Support Vector Machine." In 2008 9th Symposium on Neural Network Applications in Electrical Engineering. IEEE, 2008. http://dx.doi.org/10.1109/neurel.2008.4685556.

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Liu, Hui, Jialin He, Pengfei Cui, Joseph Camp, and Dinesh Rajan. "ASTRA: Application of sequential training to rate adaptation." In 2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON). IEEE, 2012. http://dx.doi.org/10.1109/secon.2012.6275810.

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Grabner, Helmut, Jan Sochman, Horst Bischof, and Jiri Matas. "Training sequential on-line boosting classifier for visual tracking." In 2008 19th International Conference on Pattern Recognition (ICPR). IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4761678.

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Halimeh, Mhd Modar, Andreas Brendel, and Walter Kellermann. "Neural Networks Sequential Training Using Variational Gaussian Particle Filter." In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019. http://dx.doi.org/10.1109/icassp.2019.8683886.

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Ya-Zhou Liu, Hong-Xun Yao, Wen Gao, and De-Bin Zhao. "Single sequential minimal optimization: an improved SVMs training algorithm." In Proceedings of 2005 International Conference on Machine Learning and Cybernetics. IEEE, 2005. http://dx.doi.org/10.1109/icmlc.2005.1527705.

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Iyer, Sundaresan, S. Meenakshi, and Anooja Mary Jacob. "Incremental sequential problem based training model — Institute corporate readiness." In 2011 24th IEEE-CS Conference on Software Engineering Education and Training (CSEE&T). IEEE, 2011. http://dx.doi.org/10.1109/cseet.2011.5876134.

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He, Yajuan, Ziji Zhang, Xiong Zhou, and Qiang Li. "Teaching Logic and Sequential Cell Characterization in Digital Integrated Circuits." In ICETT 2021: 2021 7th International Conference on Education and Training Technologies. ACM, 2021. http://dx.doi.org/10.1145/3463531.3463541.

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Zhang, Yiming, and Bo Hu. "An adaptive sequential Monte Carlo approach to neural network training." In 2015 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2015. http://dx.doi.org/10.1109/icit.2015.7125328.

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Zhi-Qiang Zeng, Hong-Bin Yu, Hua-Rong Xu, Yan-Qi Xie, and Ji Gao. "Fast training Support Vector Machines using parallel sequential minimal optimization." In 2008 3rd International Conference on Intelligent System and Knowledge Engineering (ISKE 2008). IEEE, 2008. http://dx.doi.org/10.1109/iske.2008.4731075.

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Lawver, Rebecca G., Michael L. Pate, Scott W. Smalley, Dustin K. Perry, and Alyx Shultz. "Tractor and Machinery Instructor Training: Impact of Sequential Professional Development." In 2021 ASABE Annual International Virtual Meeting, July 12-16, 2021. American Society of Agricultural and Biological Engineers, 2021. http://dx.doi.org/10.13031/aim.202100427.

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