Relevant bibliographies by topics / Leased machines

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Leased machines'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "Leased machines"

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MINAGAWA, Masaru, Daisuke MITSUEDA, and Masaki TOBITA. "INFLUENCE OF CONSTRUCTION MACHINE DISTRIBUTION INCLUDING LEASED MACHINES FOR RUBBLE PROCESSING." Journal of Japan Society of Civil Engineers, Ser. F4 (Construction and Management) 71, no. 4 (2015): I_85—I_95. http://dx.doi.org/10.2208/jscejcm.71.i_85.

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Gillespie, Jeffrey, and Darius Lewis. "Processor Willingness to Adopt a Crawfish Peeling Machine: An Application of Technology Adoption under Uncertainty." Journal of Agricultural and Applied Economics 40, no. 01 (2008): 369–83. http://dx.doi.org/10.1017/s1074070800028170.

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Crawfish processors'ex anteadoption rates of three hypothetical crawfish peeling machines are assessed using a polychotomous-choice elicitation format. Adoption rates would likely range from 23% to 70%, depending upon which machine was offered and whether it was purchased or leased. Processors most likely to adopt are determined using ordered probit analysis. Likely adopters would be larger, more diversified processors with greater resources and longer planning horizons.
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ASKRI, Tarek, Zied HAJEJ, and Nidhal REZG. "Jointly Production and Correlated Maintenance Optimization for Parallel Leased Machines." Applied Sciences 7, no. 5 (2017): 461. http://dx.doi.org/10.3390/app7050461.

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Hajej, Zied, Nidhal Rezg, and Tarek Askri. "Joint optimization of capacity, production and maintenance planning of leased machines." Journal of Intelligent Manufacturing 31, no. 2 (2018): 351–74. http://dx.doi.org/10.1007/s10845-018-1450-7.

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Shekikhachev, Yu A., and F. M. Magomedov. "Mathematical modeling of the process of vegetation removal during reclaim work." Izvestiya of Kabardino-Balkarian State Agrarian University named after V.M. Kokov, no. 2(36) (2022): 118–27. http://dx.doi.org/10.55196/2411-3492-2022-2-36-118-127.

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In the article, based on the analysis of the process of removing vegetation during reclamation work, it is shown that in order to perform them at the lowest amount of current and capital costs, it is necessary to take into account the limited nature of certain types of resources, the requirements for certain types of work, and other factors. In the course of mathematical modeling, it was taken into account that the number of technical means for performing the planned work should not exceed the amount of machines available on the farm, bought again and attracted from other farms, minus those to
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Johan, Suwinto. "Is leasing a debt? According to suspension of debt payment obligations law." Borobudur Law Review 4, no. 1 (2022): 24–32. http://dx.doi.org/10.31603/burrev.6694.

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Every company wants to grow and in order to achieve that, a company needs funding. There are various ways for a company to get funding, be it external or internal. One alternative form of funding is leasing. Leasing is the rental of production equipment by the company (lessee) to the lessor. The company should pay rental fees. Leasing has several advantages over loan financing. The rental fee will be charged at the company's expense. As for loans from financial institutions, only interest costs are charged as fees. This study examines the status of leasing or leasing in companies experiencing
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Pharis, Meagan L., Lisa Colby, Amanda Wagner, and Giridhar Mallya. "Sales of healthy snacks and beverages following the implementation of healthy vending standards in City of Philadelphia vending machines." Public Health Nutrition 21, no. 2 (2017): 339–45. http://dx.doi.org/10.1017/s1368980017001914.

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AbstractObjectiveWe examined outcomes following the implementation of employer-wide vending standards, designed to increase healthy snack and beverage options, on the proportion of healthy v. less healthy sales, sales volume and revenue for snack and beverage vending machines.DesignA single-arm evaluation of a policy utilizing monthly sales volume and revenue data provided by the contracted vendor during baseline, machine conversion and post-conversion time periods. Study time periods are full calendar years unless otherwise noted.SettingProperty owned or leased by the City of Philadelphia, US
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Miller, Jane, Amanda Lee, Natalie Obersky, and Rachael Edwards. "Implementation of A Better Choice Healthy Food and Drink Supply Strategy for staff and visitors in government-owned health facilities in Queensland, Australia." Public Health Nutrition 18, no. 9 (2014): 1602–9. http://dx.doi.org/10.1017/s1368980013003455.

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AbstractObjectiveThe present paper reports on a quality improvement activity examining implementation of A Better Choice Healthy Food and Drink Supply Strategy for Queensland Health Facilities (A Better Choice). A Better Choice is a policy to increase supply and promotion of healthy foods and drinks and decrease supply and promotion of energy-dense, nutrient-poor choices in all food supply areas including food outlets, staff dining rooms, vending machines, tea trolleys, coffee carts, leased premises, catering, fundraising, promotion and advertising.DesignAn online survey targeted 278 facility
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S, Aarthee, and Venkatesan R. "Secure Dynamic Resource Provisioning Cost by Optimized Placement of Virtual Machines in Cloud Computing." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 4, no. 1 (2013): 88–93. http://dx.doi.org/10.24297/ijct.v4i1b.3063.

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Cloud computing provides pay-as-you-go computing resources and accessing services are offered from data centers all over the world as the cloud. Consumers may find that cloud computing allows them to reduce the cost of information management as they are not required to own their servers and can use capacity leased from third parties or cloud service providers. Cloud consumers can successfully reduce total cost of resource provisioning using Optimal Cloud Resource Provisioning (OCRP) algorithm in cloud computing environment. The two provisioning plans are reservation and on-demand, used for com
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Titova, T. S., and J. A. Moroz. "Environmental and technical calculation of equipment of the contrailer terminal." Transport Technician: Education and Practice 1, no. 4 (2020): 360–65. http://dx.doi.org/10.46684/2687-1033.2020.4.360-365.

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The subject of the study is the technical and environmental calculation of key parameters for equipping a contrailer terminal. The relevance of the work is related to the practical need to improve the organization of working conditions for employees of the terminal and warehouse facility as a complex technosphere object, as well as to ensure the rational operation of loading and unloading equipment. These aspects are crucial for the subsequent design of the terminal in terms of the number of full-time jobs and the required number of purchased/leased equipment, which determines the importance o
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Dissertations / Theses on the topic "Leased machines"

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Askri, Tarek. "Vers un contrat de leasing optimisé d’un système multi-machines basé sur l’intégration de la production et de la maintenance." Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0376.

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La minimisation des coûts et la maximisation de la satisfaction du client sont les facteurs majeurs dans le développement des activités d'une entreprise. Ceci pourrait être assuré par les bonnes pratiques de gestion et de prise de décision à travers un processus de planification hiérarchique bien déterminé: Stratégique, tactique et opérationnel. Dans la plupart des cas, les industries manufacturières ont tendance à planifier la production de façon à minimiser les coûts et remédier à la pénurie des produits. Ceci permet à l’entreprise d'avoir une vision stratégique permettant d'optimiser ses ac
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Askri, Tarek. "Vers un contrat de leasing optimisé d’un système multi-machines basé sur l’intégration de la production et de la maintenance." Electronic Thesis or Diss., Université de Lorraine, 2017. http://www.theses.fr/2017LORR0376.

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La minimisation des coûts et la maximisation de la satisfaction du client sont les facteurs majeurs dans le développement des activités d'une entreprise. Ceci pourrait être assuré par les bonnes pratiques de gestion et de prise de décision à travers un processus de planification hiérarchique bien déterminé: Stratégique, tactique et opérationnel. Dans la plupart des cas, les industries manufacturières ont tendance à planifier la production de façon à minimiser les coûts et remédier à la pénurie des produits. Ceci permet à l’entreprise d'avoir une vision stratégique permettant d'optimiser ses ac
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Saadi, Kamel. "Efficient regularisation of least-squares kernel machines." Thesis, University of East Anglia, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.522281.

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Schreiber, Kfir. "Net-PPI : mapping the human interactome with machine learned models." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120665.

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Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 61-69).<br>The miracle of life is only possible thanks to a wide range of biochemical interactions between assortments of molecular agents. Amidst these agents, which enable all cellular activities, proteins are undoubtedly among the most important groups. Proteins facilitate countless intra- and inter-cellular functions, from regulation of gene expression to immune responses to
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Li, Ke. "Automotive engine tuning using least-squares support vector machines and evolutionary optimization." Thesis, University of Macau, 2012. http://umaclib3.umac.mo/record=b2580667.

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Zigic, Ljiljana. "Direct L2 Support Vector Machine." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4274.

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This dissertation introduces a novel model for solving the L2 support vector machine dubbed Direct L2 Support Vector Machine (DL2 SVM). DL2 SVM represents a new classification model that transforms the SVM's underlying quadratic programming problem into a system of linear equations with nonnegativity constraints. The devised system of linear equations has a symmetric positive definite matrix and a solution vector has to be nonnegative. Furthermore, this dissertation introduces a novel algorithm dubbed Non-Negative Iterative Single Data Algorithm (NN ISDA) which solves the underlying DL2 SVM's
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Flammarion, Nicolas. "Stochastic approximation and least-squares regression, with applications to machine learning." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLEE056/document.

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De multiples problèmes en apprentissage automatique consistent à minimiser une fonction lisse sur un espace euclidien. Pour l’apprentissage supervisé, cela inclut les régressions par moindres carrés et logistique. Si les problèmes de petite taille sont résolus efficacement avec de nombreux algorithmes d’optimisation, les problèmes de grande échelle nécessitent en revanche des méthodes du premier ordre issues de la descente de gradient. Dans ce manuscrit, nous considérons le cas particulier de la perte quadratique. Dans une première partie, nous nous proposons de la minimiser grâce à un oracle
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Larsson, Fredrik. "Visual Servoing Based on Learned Inverse Kinematics." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8710.

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<p>Initially an analytical closed-form inverse kinematics solution for a 5 DOF robotic arm was developed and implemented. This analytical solution proved not to meet the accuracy required for the shape sorting puzzle setup used in the COSPAL (COgnitiveSystems using Perception-Action Learning) project [2]. The correctness of the analytic model could be confirmed through a simulated ideal robot and the source of the problem was deemed to be nonlinearities introduced by weak servos unable to compensate for the effect of gravity. Instead of developing a new analytical model that took the effect of
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Pydipati, Rajesh. "Evaluation of classifiers for automatic disease detection in citrus leaves using machine vision." [Gainesville, Fla.] : University of Florida, 2004. http://purl.fcla.edu/fcla/etd/UFE0006991.

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Khawaja, Taimoor Saleem. "A Bayesian least squares support vector machines based framework for fault diagnosis and failure prognosis." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34758.

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A high-belief low-overhead Prognostics and Health Management (PHM) system is desired for online real-time monitoring of complex non-linear systems operating in a complex (possibly non-Gaussian) noise environment. This thesis presents a Bayesian Least Squares Support Vector Machine (LS-SVM) based framework for fault diagnosis and failure prognosis in nonlinear, non-Gaussian systems. The methodology assumes the availability of real-time process measurements, definition of a set of fault indicators, and the existence of empirical knowledge (or historical data) to characterize both nominal and abn
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Books on the topic "Leased machines"

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missing], [name. Least squares support vector machines. World Scientific, 2002.

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Willett, Gayle S. Buy, lease, or rent that new reduced tillage grain drill? Washington State University Cooperative Extension, 1998.

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Kokorev, V. P., and V. V. Titov. Lizing agrarnykh mashin v Sibiri. Rossiĭskai︠a︡ akademii︠a︡ nauk, Sibirskoe otd-nie, In-t ėkonomiki i organizat︠s︡ii promyshlennogo proizvodstva, 1998.

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Ziebe, Jürgen. Der Automatenaufstellvertrag. P. Lang, 1988.

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Chemistry Centre of Western Australia., Western Australia. Health Dept., and Western Australian Food Monitoring Program., eds. Survey of lead and cadmium in cappuccino machines and urns, 1994. Chemistry Centre of Western Australia, 1994.

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Coleman, Chad. Exploring a Generalizable Machine Learned Solution for Early Prediction of Student At-Risk Status. [publisher not identified], 2021.

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Lyman, Relle Lewis. A computer simulation study of tripod follow-the-leader gait coordination for a hexapod walking machine. Naval Postgraduate School, 1987.

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François, Regourd, ed. The colonial machine: French science and overseas expansion in the old regime. Brepols, 2011.

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Hearing on the 2008 presidential primaries and caucuses: What we've learned so far : hearing before the Committee on House Administration, House of Representatives, One Hundred Tenth Congress, second session, held in Washington, DC, April 9, 2008. U.S. G.P.O., 2008.

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European Court of Human Rights. A. Affaire Ruiz Torija c. Espagne :arrêt du 9 Décembre 1994.: B. Affaire Hiro Balani c. Espagne : arrêt du 9 Décembre 1994. C. Affaire López Ostra c. Espagne : arrêt du 9 Décembre 1994 = A. Case of Ruiz Torija v. Spain : judgment of 9 December 1994. B. Case of Hiro Balani v. Spain : judgment of 9 December 1994. C. Case of López Ostra v. Spain : judgment of 9 December 1994. Greffe de la Cour, Conseil de l'Europe, 1995.

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Book chapters on the topic "Leased machines"

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Webb, Geoffrey I., Claude Sammut, Claudia Perlich, et al. "Lessons-Learned Systems." In Encyclopedia of Machine Learning. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_471.

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Krishnan, N. M. Anoop, Hariprasad Kodamana, and Ravinder Bhattoo. "Machine Learned Material Simulation." In Machine Learning for Materials Discovery. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-44622-1_13.

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Wiggins, Geraint A., and Jamie Forth. "IDyOT: A Computational Theory of Creativity as Everyday Reasoning from Learned Information." In Atlantis Thinking Machines. Atlantis Press, 2014. http://dx.doi.org/10.2991/978-94-6239-085-0_7.

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Piotrowski, Bartosz, Ramon Fernández Mir, and Edward Ayers. "Machine-Learned Premise Selection for Lean." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43513-3_10.

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AbstractWe introduce a machine-learning-based tool for the Lean proof assistant that suggests relevant premises for theorems being proved by a user. The design principles for the tool are (1) tight integration with the proof assistant, (2) ease of use and installation, (3) a lightweight and fast approach. For this purpose, we designed a custom version of the random forest model, trained in an online fashion. It is implemented directly in Lean, which was possible thanks to the rich and efficient metaprogramming features of Lean 4. The random forest is trained on data extracted from – Lean’s mathematics library. We experiment with various options for producing training features and labels. The advice from a trained model is accessible to the user via the "Image missing" tactic which can be called in an editor while constructing a proof interactively.
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Lange, Luisa, Sonja Buxbaum-Conradi, Manuel Moritz, Jacqueline Bertlich, Tobias Redlich, and Jens P. Wulfsberg. "On the Usability of Open-Source Machine Tools." In Global collaboration, local production. Springer Fachmedien Wiesbaden, 2024. http://dx.doi.org/10.1007/978-3-658-44114-2_18.

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AbstractIn the last decade, the technological developments of open-source machine tools (OSMTs) have reached a very high standard, sometimes up to being compatible with proprietary products from industry. However, the aspect of usability is often neglected over the development of functionality, which leaves the user friendliness of many OSMTs still lagging behind those of industrial machines. In an explorative qualitative research approach, this chapter deals with the elaboration of the basic problems and challenges which users face when they use and familiarize themselves with OSMTs. Interviews with OSMT developers, users, and educators provided insights into the status quo of OSMT development and education. Key factors with an influence on the usability of OSMTs were identified. In this chapter, the identified key factors, process understanding, machine complexity and atmosphere/prevailing mood, are described, and their influence on the usability of OSMTs and the fab city community is presented.
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Gang, Arpita, Janki Mehta, and Angshul Majumdar. "Recovering Partially Sampled EEG Signals Using Learned Dictionaries." In Machine Intelligence and Signal Processing. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2625-3_6.

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Anvari, Hamidreza, Jesse Huard, and Paul Lu. "Machine-Learned Classifiers for Protocol Selection on a Shared Network." In Machine Learning for Networking. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19945-6_7.

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Anvari, Hamidreza, and Paul Lu. "Active Probing for Improved Machine-Learned Recognition of Network Traffic." In Machine Learning for Networking. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70866-5_8.

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Ramserran, Shonelle, and Abubaker Haddud. "Digital Disruption: Lessons Learned from Virtual Team Management." In Phantom Ex Machina. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44468-0_18.

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Correia, Marco, and Pedro Barahona. "Machine Learned Heuristics to Improve Constraint Satisfaction." In Advances in Artificial Intelligence – SBIA 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28645-5_11.

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Conference papers on the topic "Leased machines"

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Tarek, Askri, Hajej Zied, and Rezg Nidhal. "Improved maintenance strategy for a parallel leased machines system." In 2017 7th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO). IEEE, 2017. http://dx.doi.org/10.1109/icmsao.2017.7934893.

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Askri, T., Z. Hajej, and N. Rezg. "Optimal integrated maintenance strategy for parallel leased machines with warranty periods." In 2016 Conference on Control and Fault-Tolerant Systems (SysTol). IEEE, 2016. http://dx.doi.org/10.1109/systol.2016.7739752.

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Åman, Rafael, Heikki Handroos, Hannu Kärkkäinen, Jari Jussila, and Pasi Korkealaakso. "Novel ICT-Enabled Collaborative Design Processes and Tools for Developing Non-Road Mobile Machinery." In ASME/BATH 2015 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/fpmc2015-9571.

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The improvement of the energy efficiency is an important topic for non-road mobile machinery developers and manufacturers. These machines normally use fluid power transmission in drivelines and working actuators. New energy efficient technologies, e.g. a hybrid power transmission with an energy recovery feature, have been introduced. Currently most of the manufacturers are still using conventional technologies in their product development process. Human operators have an effect on the overall efficiency of the machines. Taking into account the human effects is difficult and expensive using the
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Moon, Yong-Mo, and Sridhar Kota. "Generalized Kinematic Modeling Method for Reconfigurable Machine Tools." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/mech-5946.

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Abstract Using a library of machine modules, modular machine tools are being developed by many machine tool manufacturers to reduce design lead time. To accommodate frequent changes in product design in a timely and cost-effective manner, the next generation of machine tools should be reconfigurable to process a family of products. This enables reduction not only in machine design lead time but more significantly a reduction in machine set-up and ramp-up time. The essential characteristics of Reconfigurable Machine Tools (RMTs) include modularity, convertibility, flexibility, and cost-effectiv
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Jain, Rahul, Preeti Ranjan Panda, and Sreenivas Subramoney. "Machine Learned Machines: Adaptive Co-optimization of Caches, Cores, and On-chip Network." In Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE). Research Publishing Services, 2016. http://dx.doi.org/10.3850/9783981537079_0083.

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Lin, Huang, and He Peng. "Machine Recognition for Broad-Leaved Trees Based on Synthetic Features of Leaves Using Probabilistic Neural Network." In 2008 International Conference on Computer Science and Software Engineering. IEEE, 2008. http://dx.doi.org/10.1109/csse.2008.1333.

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Adegboye, Victor O., and Jason H. Rife. "Feature Selection for Audio-Based Fault Detection in Pumps." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24536.

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Abstract Whilst extensive work has been done on fault detection in bearings using sound, very little has been accomplished with other machine components and machinery partly due to the scarcity of datasets. The recent release of the Malfunctioning Industrial Machine Investigation and Inspection (MIMII) dataset opens the opportunity for research into malfunctioning machines like pumps, fans, slide rails, and valves. In this paper, we compare common features from audio recordings to investigate which best support the classification of malfunctioning pumps. We evaluate our results using the Area
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von Backstro¨m, Theodor W. "The Effect of Specific Heat Ratio on the Performance of Compressible Flow Turbo-Machines." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-50183.

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The paper presents a method of determining the pressure ratio characteristic of a compressible flow turbo-machine when the specific heat ratio of the gas flowing through it is changed. It is shown that Mach number scaling in efficient machines running at low fractional increases in total temperature could tolerate limited variations in specific heat ratio. A method of finding the scaled operating conditions for the achievement of similar density ratios in scaled and prototype machines operating with gases with different specific heat ratios is presented. The method achieved very good accuracy
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Ping, Zhang. "The Implementation of Storage Subsystem of Cell-Phone Lease Administrative System." In 2010 International Conference on Machine Vision and Human-machine Interface. IEEE, 2010. http://dx.doi.org/10.1109/mvhi.2010.49.

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Bickramdass, Ronnie, Prakash Persad, Kelvin Loutan Jr., and Aaron Ameerali. "EVALUATION OF A CRICKET BOWLING MACHINE WITH AN ARM AND HAND TO DELIVER THE BALL." In International Conference on Emerging Trends in Engineering & Technology (IConETech-2020). Faculty of Engineering, The University of the West Indies, St. Augustine, 2020. http://dx.doi.org/10.47412/vcaq2784.

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The use of bowling machines to train batsmen whether it be indoors or outdoors have increased significantly. In the absence of bowlers, batsmen can bat for hours without any bowlers getting tired. The designs of these machines are often a derivative of ball projection machines used for other sports such as tennis. Reviewed literature highlights the deficit in visual information in the form of an arm and hand when using these machines. Hence a cricket bowling machine was developed with an arm and hand. The usability, functionality, repeatability and accuracy of the cricket bowling machine with
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Reports on the topic "Leased machines"

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Gibson, Jason, Jan Janssen, Laura Silva Lopes, and Danny Perez. Training Data Selection for Transferable Machine Learned Potentials. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1878011.

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Barros, Kipton Marcos. Advances in machine learned potentials for molecular dynamics simulation. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1477636.

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Nebgen, Benjamin, Justin Smith, Sergei Tretiak, and Nicholas Lubbers. Closeout Report: Machine Learned Effective Hamiltonians for Molecular Properties. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1768446.

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Hillman, Benjamin, and Ari Frankel. Machine Learned Radiative Transport for Enhanced Resolution Earth System Modeling. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769738.

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Fan, Z., En Ma, J. Ding, and M. L. Falk. Machine-Learned Structure-Property Relationship in Metallic Glasses (Final Report). Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/1959924.

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Larus, James, Chris Hankin, Siri Granum Carson, et al. When Computers Decide: European Recommendations on Machine-Learned Automated Decision Making. ACM, 2018. http://dx.doi.org/10.1145/3185595.

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Pandey, Anup. Adaptive machine-learned force field development for high entropy alloy studies. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1868213.

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Bhattarai, Madhusudan, Gajendra Singh, Hiroyuki Takeshima, and Ravindra S. Shekhawat. Farm machinery use and the agricultural machinery industries in India: Status, evolution, implications, and lessons learned. International Food Policy Research Institute, 2020. http://dx.doi.org/10.2499/9780896293809_03.

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Messerly, Richard, Leidy Alzate Vargas, and Tammie Gibson. Project update 2022: Machine Learned Uranium Potentials for Accelerated Nuclear Fuel Qualification. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/1968189.

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Messerly, Richard, Leidy Alzate Vargas, and Tammie Gibson. Project update 2023: Machine Learned Uranium Potentials for Accelerated Nuclear Fuel Qualification. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2346047.

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