Academic literature on the topic 'Machese de Sade'

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Journal articles on the topic "Machese de Sade"

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Zhang, Xuexia, Zixuan Yu, and Weirong Chen. "Life Prediction Based on D-S ELM for PEMFC." Energies 12, no. 19 (2019): 3752. http://dx.doi.org/10.3390/en12193752.

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The proton exchange membrane fuel cell (PEMFC) is an extremely clean and efficient power generation device. However, its limited lifespan has restricted the large-scale commercial development of PEMFCs. Life prediction is a promising solution for the further life extension of PEMFCs. In this paper, D-S ELM(DWT-SaDE ELM), define as, an enhanced extreme learning machine (ELM) optimized by discrete wavelet transform (DWT) and self-adaptive differential evolutionary algorithm (SaDE), is proposed to predict the remaining useful life (RUL) of PEMFCs. In D-S ELM, DWT is employed to extract available
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Tang, Chaofei, Nurbol Luktarhan, and Yuxin Zhao. "SAAE-DNN: Deep Learning Method on Intrusion Detection." Symmetry 12, no. 10 (2020): 1695. http://dx.doi.org/10.3390/sym12101695.

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Intrusion detection system (IDS) plays a significant role in preventing network attacks and plays a vital role in the field of national security. At present, the existing intrusion detection methods are generally based on traditional machine learning models, such as random forest and decision tree, but they rely heavily on artificial feature extraction and have relatively low accuracy. To solve the problems of feature extraction and low detection accuracy in intrusion detection, an intrusion detection model SAAE-DNN, based on stacked autoencoder (SAE), attention mechanism and deep neural netwo
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Bocca, Francisco Verardi. "La Mettrie: nem santo, nem pecador." Sofia 6, no. 2 (2017): 128–45. http://dx.doi.org/10.47456/sofia.v6i2.17490.

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Neste artigo procuro desfazer a opinião compartilhada entre leitores e historiadores da filosofia que consideram imoralista tanto a pessoa como a obra do médico-filósofo Julien Offray de La Mettrie, portanto perniciosa e merecedora das censuras sofridas. De suas causas, destaco as biografias dedicadas a ele. Também o recurso que Marquês de Sade, ao adotá-lo como seu filósofo, fez de suas teses, atribuindo-lhe sua inspiração hedonista e libertina. Por último, o histrionismo de seus escritos. Todas podem ser questionadas, mas somente a leitura atenta de sua obra pode lhe fazer justiça. Quanto ao
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Chaulwar, Amit. "Sampling Algorithms Combination with Machine Learning for Efficient Safe Trajectory Planning." International Journal of Machine Learning and Computing 11, no. 1 (2021): 1–11. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1007.

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The planning of safe trajectories in critical traffic scenarios using model-based algorithms is a very computationally intensive task. Recently proposed algorithms, namely Hybrid Augmented CL-RRT, Hybrid Augmented CL-RRT+ and GATE-ARRT+, reduce the computation time for safe trajectory planning drastically using a combination of a deep learning algorithm 3D-ConvNet with a vehicle dynamic model. An efficient embedded implementation of these algorithms is required as the vehicle on-board micro-controller resources are limited. This work proposes methodologies for replacing the computationally int
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A, Hajare Prashantbhai. "Prediction of safe working frequencies of screening machine by Harmonic Analysis." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (2018): 74–77. http://dx.doi.org/10.31142/ijtsrd12838.

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Gopal, Madhwaraj Kango. "A Novel Machine Learning Technique towards Predicting the Sale of Washing Machines in a Small Organization." International Journal of Psychosocial Rehabilitation 24, no. 5 (2020): 6969–76. http://dx.doi.org/10.37200/ijpr/v24i5/pr2020697.

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Chiwamba, Simon Hawatichke, Jackson Phiri, Philip O. Y. Nkunika, Mayumbo Nyirenda, Monica M. Kabemba, and Philemon H. Sohati. "Machine Learning Algorithms for automated Image Capture and Identification of Fall Armyworm (FAW) Moths." Zambia ICT Journal 3, no. 1 (2019): 1–4. http://dx.doi.org/10.33260/zictjournal.v3i1.69.

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Automated entomology is one of the field that has received a fair attention from the computer scientists and its support disciplines. This can further be confirmed by the recent attention that the Fall Armyworm (FAW) (Spodoptera frugiperda) has received in Africa particularly the Southern African Development Community (SADC). As the FAW is known for its devastating effects, stakeholders such as the Food and Agriculture Organization (FAO), SADC and University of Zambia (UNZA) have agreed to develop robust early monitoring and warning system. To supplement the stakeholders’ efforts, we choose a
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Shoko, Claris, Caston Sigauke, and Peter Njuho. "Short-term forecasting of confirmed daily COVID-19 cases in the Southern African Development Community region." African Health Sciences 22, no. 4 (2022): 534–50. http://dx.doi.org/10.4314/ahs.v22i4.60.

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Background: The coronavirus pandemic has resulted in complex challenges worldwide, and the Southern African Development Community (SADC) region has not been spared. The region has become the epicentre for coronavirus in the African continent. Combining forecasting techniques can help capture other attributes of the series, thus providing crucial information to address the problem.
 Objective: To formulate an effective model that timely predicts the spread of COVID-19 in the SADC region.
 Methods: Using the Quantile regression approaches; linear quantile regression averaging (LQRA), m
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da Silva, Paulo, and Ikuo Tanabe. "Analytical models for machine tool motion behavior assessment bench mark subjected to great earthquake." International Journal of Safety and Security Engineering 9, no. 2 (2019): 121–36. http://dx.doi.org/10.2495/safe-v9-n2-121-136.

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Gaffoor, Zaheed, Kevin Pietersen, Nebo Jovanovic, Antoine Bagula, and Thokozani Kanyerere. "Big Data Analytics and Its Role to Support Groundwater Management in the Southern African Development Community." Water 12, no. 10 (2020): 2796. http://dx.doi.org/10.3390/w12102796.

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Big data analytics (BDA) is a novel concept focusing on leveraging large volumes of heterogeneous data through advanced analytics to drive information discovery. This paper aims to highlight the potential role BDA can play to improve groundwater management in the Southern African Development Community (SADC) region in Africa. Through a review of the literature, this paper defines the concepts of big data, big data sources in groundwater, big data analytics, big data platforms and framework and how they can be used to support groundwater management in the SADC region. BDA may support groundwate
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Dissertations / Theses on the topic "Machese de Sade"

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Vaezipour, Atiyeh. "Design and development of an in-vehicle human machine interface for eco-safe driving." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/118058/1/Atiyeh_Vaezipour_Thesis.pdf.

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Rapid developments in vehicle technology, such as in-car systems, have provided opportunities to encourage drivers to drive in a more fuel-efficient and safe manner. This thesis focused on the design, development and evaluation of a new in-car system to improve eco-safe driving, with the aim of reducing the impact of motorised vehicles on both human health and the environment. This multidisciplinary research contributes to enhancing our understanding of the requirements of drivers in relation to in-car systems and provides a foundation for the future design and development of innovative and ac
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Lochbihler, Andreas [Verfasser], and G. [Akademischer Betreuer] Snelting. "A Machine-Checked, Type-Safe Model of Java Concurrency : Language, Virtual Machine, Memory Model, and Verified Compiler / Andreas Lochbihler ; Betreuer: G. Snelting." Karlsruhe : KIT Scientific Publishing, 2012. http://d-nb.info/1184492581/34.

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Dunnett, Ninian. "Same old song : an exploration of originality in popular music history." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/17949.

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Originality is an important social and cultural value. In pop music its influence is comprehensive: it shapes the economics of an industry through copyright law, and the temperament of musical culture through its place as keystone of the prevailing Romantic tradition. The concept extends beyond issues of artistic and technical innovation: a point of origin is fundamental to the stories we tell about pop. What these stories tell us about ourselves and the way we use music, though, may be more complex than the orthodoxy allows; while the moderns from Eliot and Frye through Barthes and Foucault h
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Adam, Matias B. "Improving complex sale cycles and performance by using machine learning and predictive analytics to understand the customer journey." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118010.

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Thesis: S.M. in Management of Technology, Massachusetts Institute of Technology, Sloan School of Management, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 92-99).<br>Today's business operations and decision management demand that firms respond efficiently in an increasingly dynamic and highly competitive external environment. Business-to-business firms need insight about markets and customers along the entire sales and marketing cycle. This demand is complicated by the inflexibility of legacy systems and growing distributed architectures add even
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Eis, Pavel. "Datová sada pro klasifikaci síťových zařízení pomocí strojového učení." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445543.

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Automatic classification of devices in computer network can be used for detection of anomalies in a network and also it enables application of security policies per device type. The key to creating a device classifier is a quality data set, the public availability of which is low and the creation of a new data set is difficult. The aim of this work is to create a tool, that will enable automated annotation of the data set of network devices and to create a classifier of network devices that uses only basic data from network flows. The result of this work is a modular tool providing automated a
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Jones, Patrick Franklin. "The effects of practice on study and comparison times for simple, redundant, and non-redundant color-shape coding schemes in a same-different reaction time task." Thesis, Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/28628.

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Triques, Gustavo Eugenio. "Efeito da suplementação dietética de antioxidantes sobre variáveis reprodutivas de machos reprodutores de frango de corte." reponame:Repositório Institucional da UFPR, 2014. http://hdl.handle.net/1884/37108.

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Orientadora: Profª. Drª. Jovanir Inês Müller Fernandes<br>Dissertação (mestrado) - Universidade Federal do Paraná, Setor de Palotina, Programa de Pós-Graduação em Ciência Animal. Defesa: Palotina, 15/09/2014<br>Inclui referências<br>Área de concentração : Produção animal<br>Resumo: Este estudo teve como objetivo avaliar o efeito da suplementação dietética de antioxidantes sobre características espermáticas de galos reprodutores de frango de corte. Foram realizados três experimentos. No primeiro, foram utilizados 12 galos Cobb de 50 semanas de idade distribuídos aleatoriamente em um delineament
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Meyer, Katlyn Barp. "Efeitos do antiviral ganciclovir sobre o desenvolvimento e função gonadal de ratos machos expostos in utero." reponame:Repositório Institucional da UFPR, 2017. http://hdl.handle.net/1884/52846.

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Orientador : Profª. Drª. Rosana Nogueira de Morais<br>Coorientador : Prof. Dr. Anderson Joel Martino Andrade<br>Tese (doutorado) - Universidade Federal do Paraná, Setor de Ciências Biológicas, Programa de Pós-Graduação em Fisiologia. Defesa: Curitiba, 31/08/2017<br>Inclui referências : f. 68-81<br>Área de concentração : Fisiologia<br>Resumo: Malformações e disfunções do sistema reprodutor masculino observadas no indivíduo adulto podem resultar de disfunções da gônada fetal. Um dos fatores que modifica a função testicular fetal é a exposição a xenobióticos, dentre os quais, o antiviral ganciclo
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Berthaud, Daniel. "Analyse fonctionnelle d'une usine de traitement de talc et intégration d'un outil de supervision." Nancy 1, 1992. http://www.theses.fr/1992NAN10157.

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L'automatisation et l'informatisation des systèmes de conduite de processus industriels entrainent la centralisation des organes d'affichage et de commande sur des consoles graphiques. La surface réduite de ces principes d'affichage, ainsi que les limites du raisonnement humain, soulèvent des problèmes d'intégration de ces nouveaux modes de conduite. Dans une première partie, ce mémoire présente les différentes activités et les différentes tâches de l'operateur humain en salle de contrôle, ainsi que son comportement décisionnel face aux différentes situations auxquelles il se trouve confronté
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Fitzgerald, Daniel Liam. "Landing site selection for UAV forced landings using machine vision." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16510/1/Daniel_Fitzgerald_Thesis.pdf.

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A forced landing for an Unmanned Aerial Vehicle (UAV) is required if there is an emergency on board that requires the aircraft to land immediately. Piloted aircraft in the same scenario have a human on board that is able to engage in the complex decision making process involved in the choice of a suitable landing location. If UAVs are to ever fly routinely in civilian airspace, then it is argued that the problem of finding a safe landing location for a forced landing is an important unresolved problem that must be addressed. This thesis presents the results of an investigation into the
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Books on the topic "Machese de Sade"

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Simon, Goodenough, ed. Hitler's war machine. Salamander Books, 1996.

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Khoury, Ziad. Frontline profit machine: The blueprint for exploding profits with your existing service and sales team. SelectBooks, 2009.

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Frontline profit machine: The Khoury blueprint for exploding profits at the point of sale. SelectBooks, 2009.

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Croft, Elizabeth W. Fees and surcharging in automatic teller machine networks: Non-bank ATM providers versus large banks. National Bureau of Economic Research, 2003.

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Carr, William, Paul Kennedy, Matthew Cooper, et al. Hitler's War Machine. Random House Value Publishing, 1996.

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Fye, W. Bruce. Pioneering Open-Heart Surgery at the University of Minnesota and the Mayo Clinic. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199982356.003.0010.

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During the early 1950s, several dozen surgeons were attempting to develop technologies and techniques that would allow them to operate inside the heart. The challenge was to develop a safe way to temporarily take over the functions of the heart and lungs so the heart could be opened and drained of blood. A surgeon could then see and repair abnormal or damaged structures inside the organ. The first patients were children or adolescents with congenital heart defects that had caused heart failure. Mayo surgeon John Kirklin led a multidisciplinary team in the testing and clinical use of a heart-lu
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Trappenberg, Thomas P. Fundamentals of Machine Learning. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198828044.001.0001.

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Machine learning is exploding, both in research and for industrial applications. This book aims to be a brief introduction to this area given the importance of this topic in many disciplines, from sciences to engineering, and even for its broader impact on our society. This book tries to contribute with a style that keeps a balance between brevity of explanations, the rigor of mathematical arguments, and outlining principle ideas. At the same time, this book tries to give some comprehensive overview of a variety of methods to see their relation on specialization within this area. This includes
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Bátiz-Lazo, Bernardo. The British Are Coming! Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782810.003.0003.

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Chapter 3 (‘The British Are Coming!’) explains the origins of the technology in the United Kingdom. It is widely assumed that the operation of a machine in the Enfield branch of Barclays was the ‘prime mover’ in this industry. However, the historical record fails to identify a hero inventor; rather multiple independent versions of the cash machine were launched at more or less the same time in different countries. Yet in spite of the great fanfare, there was no real race to market. There is no evidence the engineers responsible for them knew of each other’s existence before this launch (but ma
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Hanson, Stephen José, Michael J. Kearns, Thomas Petsche, and Ronald L. Rivest, eds. Computational Learning Theory and Natural Learning Systems, Volume 2. The MIT Press, 1994. http://dx.doi.org/10.7551/mitpress/2029.001.0001.

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Computational learning theory, neural networks, and AI machine learning appear to be disparate fields; in fact they have the same goal: to build a machine or program that can learn from its environment. Accordingly, many of the papers in this volume deal with the problem of learning from examples. In particular, they are intended to encourage discussion between those trying to build learning algorithms (for instance, algorithms addressed by learning theoretic analyses are quite different from those used by neural network or machine-learning researchers) and those trying to analyze them. The fi
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Moses, Matthew S., and Gregory S. Chirikjian. Reproduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0007.

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Computing pioneer and polymath John von Neumann introduced the concept of a Universal Constructor as part of his effort to develop a mathematical theory describing living organisms. A Universal Constructor is a kinematic machine able to manipulate and assemble primitive building blocks. Von Neumann showed how this hypothetical constructor, being itself composed of the same primitive blocks, could self-reproduce and evolve. Remarkably, although this model system pre-dates the discovery of the genetic code, it applies to cell molecular biology as well as man-made machines. This chapter describes
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Book chapters on the topic "Machese de Sade"

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Stärk, Robert F., Joachim Schmid, and Egon Börger. "Java is type safe." In Java and the Java Virtual Machine. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-59495-3_8.

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Barlow, Barbara. "Building a Safe Community." In Transportation, Traffic Safety and Health — Man and Machine. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57248-7_13.

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Spellman, Frank R., and Kathern Welsh. "Machine Guarding." In Safe Work Practices for Wastewater Treatment Plants. CRC Press, 2018. http://dx.doi.org/10.1201/9781351246989-15.

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Sandoval, J., M. A. Laribi, and S. Zeghloul. "Prismatic Compliant Joint for Safe Cobots." In Advances in Mechanism and Machine Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20131-9_188.

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Gillispie, Charles Coulston, and Raffaele Pisano. "On Principles in Sadi Carnot’s Thermodynamics." In History of Mechanism and Machine Science. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4144-7_7.

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Gillispie, Charles Coulston, and Raffaele Pisano. "On Principles in Sadi Carnot’s Thermodynamics." In History of Mechanism and Machine Science. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-017-8011-7_7.

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Hirschkoff, Daniel, Damien Pous, and Davide Sangiorgi. "A Correct Abstract Machine for Safe Ambients." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11417019_2.

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Congress, Axely. "Keeping Things Safe: Time Machine and Security." In Mac OS X Lion Made Simple. Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3769-3_12.

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Sangiorgi, Davide, and Andrea Valente. "A Distributed Abstract Machine for Safe Ambients." In Automata, Languages and Programming. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48224-5_34.

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Gillispie, Charles Coulston, and Raffaele Pisano. "History and Historiography of Sadi Carnot’s Thermodynamics." In History of Mechanism and Machine Science. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4144-7_6.

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Conference papers on the topic "Machese de Sade"

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Gu, Xiaozhe, and Arvind Easwaran. "Towards safe machine learning for CPS." In ICCPS '19: ACM/IEEE 10th International Conference on Cyber-Physical Systems. ACM, 2019. http://dx.doi.org/10.1145/3302509.3311038.

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Sivic, J., C. L. Zitnick, and R. Szeliski. "Finding people in repeated shots of the same scene." In British Machine Vision Conference 2006. British Machine Vision Association, 2006. http://dx.doi.org/10.5244/c.20.93.

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Peters, G., B. Zitova, and C. von der Malsburg. "Two Methods for Comparing Different Views of the Same Object." In British Machine Vision Conference 1999. British Machine Vision Association, 1999. http://dx.doi.org/10.5244/c.13.49.

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Delaware, Benjamin, William Cook, and Don Batory. "A machine-checked model of safe composition." In the 2009 workshop. ACM Press, 2009. http://dx.doi.org/10.1145/1509837.1509846.

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Saena, Warayut, and Vasin Suttichaya. "Predicting Drug Sale Quantity Using Machine Learning." In 2019 14th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP). IEEE, 2019. http://dx.doi.org/10.1109/isai-nlp48611.2019.9045222.

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Morstatter, Fred, Aram Galstyan, Gleb Satyukov, et al. "SAGE: A Hybrid Geopolitical Event Forecasting System." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/955.

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Forecasting of geopolitical events is a notoriously difficult task, with experts failing to significantly outperform a random baseline across many types of forecasting events. One successful way to increase the performance of forecasting tasks is to turn to crowdsourcing: leveraging many forecasts from non-expert users. Simultaneously, advances in machine learning have led to models that can produce reasonable, although not perfect, forecasts for many tasks. Recent efforts have shown that forecasts can be further improved by ``hybridizing'' human forecasters: pairing them with the machine mode
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Metu, Somiya, Adrienne J. Raglin, and Dawn A. Lott. "SAGE supporting operations research inspired algorithms." In Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, edited by Tien Pham, Latasha Solomon, and Myron E. Hohil. SPIE, 2021. http://dx.doi.org/10.1117/12.2585827.

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Blasi, Stefano De, and Alexander Gepperth. "SASBO: Self-Adapting Safe Bayesian Optimization." In 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2020. http://dx.doi.org/10.1109/icmla51294.2020.00044.

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Eisa, Rana Mohamed, Merna Labib, and Amr ElMougy. "SOS: Save Our Social Network Accounts." In 2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2019. http://dx.doi.org/10.1109/sami.2019.8782731.

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Gedeon, David. "Sage - Object-oriented software for Stirling machine design." In Intersociety Energy Conversion Engineering Conference. American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-4106.

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Reports on the topic "Machese de Sade"

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Hovakimyan, Naira, Hunmin Kim, Wenbin Wan, and Chuyuan Tao. Safe Operation of Connected Vehicles in Complex and Unforeseen Environments. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-016.

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Autonomous vehicles (AVs) have a great potential to transform the way we live and work, significantly reducing traffic accidents and harmful emissions on the one hand and enhancing travel efficiency and fuel economy on the other. Nevertheless, the safe and efficient control of AVs is still challenging because AVs operate in dynamic environments with unforeseen challenges. This project aimed to advance the state-of-the-art by designing a proactive/reactive adaptation and learning architecture for connected vehicles, unifying techniques in spatiotemporal data fusion, machine learning, and robust
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Smith, Michael, Erin Acquesta, Arlo Ames, et al. SAGE Intrusion Detection System: Sensitivity Analysis Guided Explainability for Machine Learning. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1820253.

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Seletskiy, Sergei. EIC Machine Protection System: safe operation of Rapid Cycling Synchrotron with updated parameters. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1908369.

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Lohn, Andrew. Poison in the Well: Securing the Shared Resources of Machine Learning. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/2020ca013.

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Modern machine learning often relies on open-source datasets, pretrained models, and machine learning libraries from across the internet, but are those resources safe to use? Previously successful digital supply chain attacks against cyber infrastructure suggest the answer may be no. This report introduces policymakers to these emerging threats and provides recommendations for how to secure the machine learning supply chain.
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Fang, Chen. Unsettled Issues in Vehicle Autonomy, Artificial Intelligence, and Human-Machine Interaction. SAE International, 2021. http://dx.doi.org/10.4271/epr2021010.

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Artificial intelligence (AI)-based solutions are slowly making their way into our daily lives, integrating with our processes to enhance our lifestyles. This is major a technological component regarding the development of autonomous vehicles (AVs). However, as of today, no existing, consumer ready AV design has reached SAE Level 5 automation or fully integrates with the driver. Unsettled Issues in Vehicle Autonomy, AI and Human-Machine Interaction discusses vital issues related to AV interface design, diving into speech interaction, emotion detection and regulation, and driver trust. For each
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Smith, Jijo K., Howell Li, and Darcy M. Bullock. Populating SAE J2735 Message Confidence Values for Traffic Signal Transitions Along a Signalized Corridor. Purdue University, 2019. http://dx.doi.org/10.5703/1288284317322.

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The communication between connected vehicles and traffic signal controllers is defined in SAE Surface Vehicle Standard J2735. SAE J2735 defines traffic signal status messages and a series of 16 confidence levels for traffic signal transitions. This paper discusses a statistical method for tabulating traffic signal data by phase and time of day and populating the SAE J2735 messages. Graphical representation of the red-green and green-yellow transitions are presented from six intersections along a 4-mile corridor for five different time of day timing plans. The case study provided illustrates th
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Raychev, Nikolay. Can human thoughts be encoded, decoded and manipulated to achieve symbiosis of the brain and the machine. Web of Open Science, 2020. http://dx.doi.org/10.37686/nsrl.v1i2.76.

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This article discusses the current state of neurointerface technologies, not limited to deep electrode approaches. There are new heuristic ideas for creating a fast and broadband channel from the brain to artificial intelligence. One of the ideas is not to decipher the natural codes of nerve cells, but to create conditions for the development of a new language for communication between the human brain and artificial intelligence tools. Theoretically, this is possible if the brain "feels" that by changing the activity of nerve cells that communicate with the computer, it is possible to "achieve
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Liu, Hongrui, and Rahul Ramachandra Shetty. Analytical Models for Traffic Congestion and Accident Analysis. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2102.

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In the US, over 38,000 people die in road crashes each year, and 2.35 million are injured or disabled, according to the statistics report from the Association for Safe International Road Travel (ASIRT) in 2020. In addition, traffic congestion keeping Americans stuck on the road wastes millions of hours and billions of dollars each year. Using statistical techniques and machine learning algorithms, this research developed accurate predictive models for traffic congestion and road accidents to increase understanding of the complex causes of these challenging issues. The research used US Accident
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Gates, Allison, Michelle Gates, Shannon Sim, Sarah A. Elliott, Jennifer Pillay, and Lisa Hartling. Creating Efficiencies in the Extraction of Data From Randomized Trials: A Prospective Evaluation of a Machine Learning and Text Mining Tool. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepcmethodscreatingefficiencies.

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Background. Machine learning tools that semi-automate data extraction may create efficiencies in systematic review production. We prospectively evaluated an online machine learning and text mining tool’s ability to (a) automatically extract data elements from randomized trials, and (b) save time compared with manual extraction and verification. Methods. For 75 randomized trials published in 2017, we manually extracted and verified data for 21 unique data elements. We uploaded the randomized trials to ExaCT, an online machine learning and text mining tool, and quantified performance by evaluati
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Moorehead, Stewart. Unsettled Issues Regarding the Commercialization of Autonomous Agricultural Vehicles. SAE International, 2022. http://dx.doi.org/10.4271/epr2022003.

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Autonomous agricultural vehicles are entering the marketplace, performing jobs that current equipment cannot do or are too dangerous for humans to perform. They offer the prospect of greater farm productivity, and they will help to feed the world’s growing population. This report looks at several topics that impact the commercial success of autonomous agricultural vehicles. The economic benefit that an autonomous system brings to a farm will be discussed alongside machine utilization rates, job quality, and labor savings. The need for standards and regulations to help promote the development o
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