Relevant bibliographies by topics / One-class

Contents

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

Academic literature on the topic 'One-class'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 March 2025

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Journal articles on the topic "One-class"

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Levchuk, V. N. "On One Class of Non-Dissipative Operators." Zurnal matematiceskoj fiziki, analiza, geometrii 13, no. 2 (June 25, 2017): 173–94. http://dx.doi.org/10.15407/mag13.02.173.

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Nohel, John A. "A class of one-dimensional degenerate parabolic equations." Časopis pro pěstování matematiky 111, no. 3 (1986): 294–303. http://dx.doi.org/10.21136/cpm.1986.108153.

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Hoffman, D. G., and C. A. Rodger. "Class one graphs." Journal of Combinatorial Theory, Series B 44, no. 3 (June 1988): 372–76. http://dx.doi.org/10.1016/0095-8956(88)90046-9.

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Brereton, Richard G. "One-class classifiers." Journal of Chemometrics 25, no. 5 (May 2011): 225–46. http://dx.doi.org/10.1002/cem.1397.

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Deng, Xueqing, Wenkai Li, Xiaoping Liu, Qinghua Guo, and Shawn Newsam. "One-class remote sensing classification: one-class vs. binary classifiers." International Journal of Remote Sensing 39, no. 6 (January 3, 2018): 1890–910. http://dx.doi.org/10.1080/01431161.2017.1416697.

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Shcherbakov, E. A., and I. A. Avdeyev. "ON THE COMPACTNESS OF ONE CLASS OF QUASICONFORMAL MAPPINGS." Issues of Analysis 26, no. 3 (November 2019): 147–51. http://dx.doi.org/10.15393/j3.art.2019.6670.

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Minassian, D. P. "Baire Class One: 10999." American Mathematical Monthly 112, no. 2 (February 1, 2005): 181. http://dx.doi.org/10.2307/30037425.

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Wang, Defeng, Daniel S. Yeung, and Eric C. C. Tsang. "Structured One-Class Classification." IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 36, no. 6 (December 2006): 1283–95. http://dx.doi.org/10.1109/tsmcb.2006.876189.

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Roth, Wolff-Michael, Sylvie Boutonné, Campbell J. McRobbie, and Keith B. Lucas. "One class, many worlds." International Journal of Science Education 21, no. 1 (January 1999): 59–75. http://dx.doi.org/10.1080/095006999290831.

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Désir, Chesner, Simon Bernard, Caroline Petitjean, and Laurent Heutte. "One class random forests." Pattern Recognition 46, no. 12 (December 2013): 3490–506. http://dx.doi.org/10.1016/j.patcog.2013.05.022.

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Dissertations / Theses on the topic "One-class"

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Barnabé-Lortie, Vincent. "Active Learning for One-class Classification." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/33001.

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Active learning is a common solution for reducing labeling costs and maximizing the impact of human labeling efforts in binary and multi-class classification settings. However, when we are faced with extreme levels of class imbalance, a situation in which it is not safe to assume that we have a representative sample of the minority class, it has been shown effective to replace the binary classifiers with a one-class classifiers. In such a setting, traditional active learning methods, and many previously proposed in the literature for one-class classifiers, prove to be inappropriate, as they re
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Fortunato, Francesca <1990&gt. "High-dimensional and one-class classification." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amsdottorato.unibo.it/8412/1/ThesisMain.pdf.

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When dealing with high-dimensional data and, in particular, when the number of attributes p is large comparatively to the sample size n, several classification methods cannot be applied. Fisher's linear discriminant rule or the quadratic discriminant one are unfeasible, as the inverse of the involved covariance matrices cannot be computed. A recent approach to overcome this problem is based on Random Projections (RPs), which have emerged as a powerful method for dimensionality reduction. In 2017, Cannings and Samworth introduced the RP method in the ensemble context to extend to the high-dimen
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Haskey, Stephen. "A modified One-Class-One-Network ANN architecture for dynamic phoneme adaptation." Thesis, Loughborough University, 1998. https://dspace.lboro.ac.uk/2134/12099.

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As computers begin to pervade aspects of our everyday lives, so the problem of communication from man-to-machine becomes increasingly evident. In recent years, there has been a concerted interest in speech recognition offering a user to communicate freely with a machine. However, this deceptively simple means for exchanging information is in fact extremely complex. A single utterance can contain a wealth of varied information concerning the speaker's gender, age, dialect and mood. Numerous subtle differences such as intonation, rhythm and stress further add to the complexity, increasing the va
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Tran, Quang Duc. "One-class classification : an approach to handle class imbalance in multimodal biometric authentication." Thesis, City, University of London, 2014. http://openaccess.city.ac.uk/19662/.

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Biometric verification is the process of authenticating a person‟s identity using his/her physiological and behavioural characteristics. It is well-known that multimodal biometric systems can further improve the authentication accuracy by combining information from multiple biometric traits at various levels, namely sensor, feature, match score and decision levels. Fusion at match score level is generally preferred due to the trade-off between information availability and fusion complexity. However, combining match scores poses a number of challenges, when treated as a two-class classification
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Harper, John-Paul. "The class number one problem in function fields." Thesis, Stellenbosch : Stellenbosch University, 2003. http://hdl.handle.net/10019.1/53619.

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Thesis (MComm)--Stellenbosch University, 2003.<br>ENGLISH ABSTRACT: In this dissertation I investigate the class number one problem in function fields. More precisely I give a survey of the current state of research into extensions of a rational function field over a finite field with principal ring of integers. I focus particularly on the quadratic case and throughout draw analogies and motivations from the classical number field situation. It was the "Prince of Mathematicians" C.F. Gauss who first undertook an in depth study of quadratic extensions of the rational numbers and the corre
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Nguyen, Dat. "MULTIPLE-INSTANCE AND ONE-CLASS RULE-BASED ALGORITHMS." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3059.

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In this work we developed rule-based algorithms for multiple-instance learning and one-class learning problems, namely, the mi-DS and OneClass-DS algorithms. Multiple-Instance Learning (MIL) is a variation of classical supervised learning where there is a need to classify bags (collection) of instances instead of single instances. The bag is labeled positive if at least one of its instances is positive, otherwise it is negative. One-class learning problem is also known as outlier or novelty detection problem. One-class classifiers are trained on data describing only one class and are used in s
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Kilicer, Pinar. "The CM class number one problem for curves." Thesis, Bordeaux, 2016. http://www.theses.fr/2016BORD0046/document.

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Soit E une courbe elliptique sur C ayant multiplication complexe (CM) par l’ordre maximal OK d’un corps quadratique imaginaire K. Le premier théorème principal de la multiplication complexe affirme que le corps K(j(E)), obtenu en adjoignant à K le j-invariant de E, est égal au corps de classes de Hilbert de K, confer Cox [11, Theorem 11.1]. Notons que lorsque E est définie sur Q, le corps de classes de Hilbert K(j(E)) est égal à K et le groupe des classes ClK est trivial. Se pose alors le problème de déterminer les corps quadratiques totalement imaginaires K pour lesquels la courbe elliptique
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Kaya, Hamza. "Using Social Graphs In One-class Collaborative Filtering Problem." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12611131/index.pdf.

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One-class collaborative filtering is a special type of collaborative filtering methods that aims to deal with datasets that lack counter-examples. In this work, we introduced social networks as a new data source to the one-class collaborative filtering (OCCF) methods and sought ways to benefit from them when dealing with OCCF problems. We divided our research into two parts. In the first part, we proposed different weighting schemes based on social graphs for some well known OCCF algorithms. One of the weighting schemes we proposed outperformed our baselines for some of the datasets we used.
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Silva, Eduardo Germano da. "A one-class NIDS for SDN-based SCADA systems." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2007. http://hdl.handle.net/10183/164632.

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Sistemas elétricos possuem grande influência no desenvolvimento econômico mundial. Dada a importância da energia elétrica para nossa sociedade, os sistemas elétricos frequentemente são alvos de intrusões pela rede causadas pelas mais diversas motivações. Para minimizar ou até mesmo mitigar os efeitos de intrusões pela rede, estão sendo propostos mecanismos que aumentam o nível de segurança dos sistemas elétricos, como novos protocolos de comunicação e normas de padronização. Além disso, os sistemas elétricos estão passando por um intenso processo de modernização, tornando-os altamente dependen
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Pentukar, Sai Kiran. "OCLEP+: One-Class Intrusion Detection Using Length of Patterns." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1496147438710588.

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Books on the topic "One-class"

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Velde, Vivian Vande. 8 class pets + one squirrel [divided by] one dog = chaos. New York: Holiday House, 2012.

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Velde, Vivian Vande. 8 class pets + one squirrel [divided by] one dog = chaos. New York: Holiday House, 2012.

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Gurney, A. R. Two class acts: Two one-act plays. New York, NY: Dramatists Play Service, Inc., 2017.

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Kruse, John A. Class size reduction project: Research design & year one work plan. [Anchorage]: The Institute, 1993.

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Done, Phillip. 32 third graders and one class bunny: Life lessons from teaching. New York: Simon & Schuster, 2005.

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Herbstein, Judith F. Middle-class Hispanic women in the United States: One migrant's story. [East Lansing, Mich.]: Michigan State University, 1985.

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Kinyatti, Maina wa. Classes and class struggle in Kenya: Kenya, many nationalities, one people. Nairobi: Mau Mau Research Centre, 2008.

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Wallace, Mary Elaine. More opera scenes for class and stage: From one hundred selected operas. Carbondale: Southern Illinois University Press, 1990.

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Lou, McCloskey Mary, and McCloskey Mary Lou, eds. Teaching English language and content in mainstream classes: One class, many paths. 2nd ed. Boston: Pearson, 2012.

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Penman, Judith. A study in class management, using a behaviour management programme with a year one class where two teachers were job-sharing. Birmingham: University of Birmingham, 1995.

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Book chapters on the topic "One-class"

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dos Reis, Denis, André Maletzke, Everton Cherman, and Gustavo Batista. "One-Class Quantification." In Machine Learning and Knowledge Discovery in Databases, 273–89. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10925-7_17.

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May With, Lyle C., Amanda K. Cox, and Lisa M. Carter. "Class of One." In The Transformative Journey of Higher Education in Prison, 65–70. New York: Routledge, 2024. http://dx.doi.org/10.4324/9781003449454-11.

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Curry, Robert, and Malcolm I. Heywood. "One-Class Genetic Programming." In Lecture Notes in Computer Science, 1–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01181-8_1.

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Rendle, Steffen. "One-Class Matrix Factorization." In Context-Aware Ranking with Factorization Models, 155–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16898-7_10.

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Fort, Deborah C. "One Class Was Enough." In One Legacy of Paul F. Brandwein, 51–52. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-2528-9_12.

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Glazer, Assaf, Michael Lindenbaum, and Shaul Markovitch. "One-Class Background Model." In Computer Vision - ACCV 2012 Workshops, 301–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37410-4_26.

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Tax, David M. J., and Robert P. W. Duin. "Combining One-Class Classifiers." In Multiple Classifier Systems, 299–308. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48219-9_30.

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Bauman, Evgeny, and Konstantin Bauman. "One-Class Semi-supervised Learning." In Braverman Readings in Machine Learning. Key Ideas from Inception to Current State, 189–200. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99492-5_8.

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Madany Mamlouk, Amir, Jan T. Kim, Erhardt Barth, Michael Brauckmann, and Thomas Martinetz. "One-Class Classification with Subgaussians." In Lecture Notes in Computer Science, 346–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45243-0_45.

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Qiu, Huimin, Chunhong Zhang, and Jiansong Miao. "Pairwise One Class Recommendation Algorithm." In Advances in Knowledge Discovery and Data Mining, 744–55. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18032-8_58.

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Conference papers on the topic "One-class"

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Le Hong, Wen, and Xinghui Zhao. "Early Wildfire Detection Using One Class Learning." In 2024 IEEE International Conference on Big Data (BigData), 4315–19. IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825113.

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Schlachter, Patrick, and Bin Yang. "Active Learning for One-Class Classification Using Two One-Class Classifiers." In 2018 26th European Signal Processing Conference (EUSIPCO). IEEE, 2018. http://dx.doi.org/10.23919/eusipco.2018.8552958.

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Pan, Rong, Yunhong Zhou, Bin Cao, Nathan N. Liu, Rajan Lukose, Martin Scholz, and Qiang Yang. "One-Class Collaborative Filtering." In 2008 Eighth IEEE International Conference on Data Mining (ICDM). IEEE, 2008. http://dx.doi.org/10.1109/icdm.2008.16.

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Shahin Shamsabadi, Ali, Hamed Haddadi, and Andrea Cavallaro. "Distributed One-Class Learning." In 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE, 2018. http://dx.doi.org/10.1109/icip.2018.8451093.

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Schlachter, Patrick, Yiwen Liao, and Bin Yang. "Deep One-Class Classification Using Intra-Class Splitting." In 2019 IEEE Data Science Workshop (DSW). IEEE, 2019. http://dx.doi.org/10.1109/dsw.2019.8755576.

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Schlachter, Patrick, Yiwen Liao, and Bin Yang. "One-Class Feature Learning Using Intra-Class Splitting." In 2019 27th European Signal Processing Conference (EUSIPCO). IEEE, 2019. http://dx.doi.org/10.23919/eusipco.2019.8902848.

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Wenzhu, Sun, Hu Wenting, Xue Zufeng, and Cao Jianping. "Overview of one-Class Classification." In 2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP). IEEE, 2019. http://dx.doi.org/10.1109/siprocess.2019.8868559.

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Li, Chen, and Yang Zhang. "Bagging One-Class Decision Trees." In 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2008. http://dx.doi.org/10.1109/fskd.2008.478.

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Nader, Patric, Paul Honeine, and Pierre Beauseroy. "Mahalanobis-based one-class classification." In 2014 IEEE 24th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2014. http://dx.doi.org/10.1109/mlsp.2014.6958934.

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Hadjadji, Bilal, Youcef Chibani, and Yasmine Guerbai. "Multiple One-Class Classifier Combination for Multi-class Classification." In 2014 22nd International Conference on Pattern Recognition (ICPR). IEEE, 2014. http://dx.doi.org/10.1109/icpr.2014.488.

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Reports on the topic "One-class"

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Younk, Patrick. PDV Hands-On Class, One Day Intensive. Office of Scientific and Technical Information (OSTI), February 2023. http://dx.doi.org/10.2172/1923615.

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Nohel, John A. A Class of One-Dimensional Degenerate Parabolic Equations. Fort Belvoir, VA: Defense Technical Information Center, July 1985. http://dx.doi.org/10.21236/ada160962.

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Oliker, V. I., and P. Waltman. New Methods for Numerical Solution of One Class of Strongly Nonlinear Partial Differential Equations with Applications. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada186166.

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Oliker, V. I., and P. Waltman. New Methods for Numerical Solution of One Class of Strongly Nonlinear Partial Differential Equations with Applications. Fort Belvoir, VA: Defense Technical Information Center, August 1987. http://dx.doi.org/10.21236/ada189945.

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Doo, Johnny. The Use of eVTOL Aircraft for First Responder, Police, and Medical Transport Applications. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, September 2023. http://dx.doi.org/10.4271/epr2023020.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Advancements in electric vertical takeoff and landing (eVTOL) aircraft have generated significant interest within and beyond the traditional aviation industry. One particularly promising application involves on-demand, rapid-response use cases to broaden first responders, police, and medical transport mission capabilities. With the dynamic and varying public service operations, eVTOL aircraft can offer potentially cost-effective aerial mobility components to the overall solution, including significant lifesaving benefits
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Genter, David Paul. Systems Design Engineering: A Holistic Requirements-led Approach to Concept Design. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, October 2024. http://dx.doi.org/10.4271/epr2024024.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Many organizations are falling far short of achieving the lifecycle potential of their new product designs. One major source of this suboptimal business performance stems from underleveraging key Systems Engineering and Design Engineering principles in the early phases of the design process. If these are being poorly applied, the following will likely occur:&lt;ul class="list disc"&gt;&lt;li class="list-item"&gt;&lt;div class="htmlview paragraph"&gt;Inefficient use of engineering (and other cross-functional) resources&lt
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King, Wayne. Barriers to Adoption of Artificial Intelligence in Metal Additive Manufacturing. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, January 2025. https://doi.org/10.4271/epr2025001.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Artificial intelligence (AI) is poised to significantly impact metal additive manufacturing (AM). Understanding how one might use AI in AM is challenging because AM experts are not AI experts, nor the other way around. This document introduces AI in AM and guides researchers in accessing relevant literature. It also discusses the hype surrounding AI in AM, the rush to publish peer-reviewed papers that use AI in AM, and the resulting uneven quality of the literature. Conclusions regarding the application of AI in both lar
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Borgwardt, Stefan, and Barbara Morawska. Finding Finite Herbrand Models. Technische Universität Dresden, 2011. http://dx.doi.org/10.25368/2022.182.

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We show that finding finite Herbrand models for a restricted class of first-order clauses is ExpTime-complete. A Herbrand model is called finite if it interprets all predicates by finite subsets of the Herbrand universe. The restricted class of clauses consists of anti-Horn clauses with monadic predicates and terms constructed over unary function symbols and constants. The decision procedure can be used as a new goal-oriented algorithm to solve linear language equations and unification problems in the description logic FL₀. The new algorithm has only worst-case exponential runtime, in contrast
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Eley, T. C., John Leslie King, Kalle Lyytinen, and Jeffrey Nickerson. Implications of Off-road Automation for On-road Automated Driving Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, December 2023. http://dx.doi.org/10.4271/epr2023029.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Automated vehicles, in the form we see today, started off-road. Ideas, technologies, and engineers came from agriculture, aerospace, and other off-road domains. While there are cases when only on-road experience will provide the necessary learning to advance automated driving systems, there is much relevant activity in off-road domains that receives less attention.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;b&gt;Implications of Off-road Automation for On-road Automated Driving Systems&lt;/b&gt; argues that one
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Kozumplik, Brian J. Electric Charging Intended Functionality, Availability, and Equity Inclusion. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, January 2023. http://dx.doi.org/10.4271/epr2023001.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;As unprecedented growth in EV sales is expected, and the number of public charging stations must be planned accordingly as charger up-time and functionality (i.e., availability) is the number one factor for users once the charging system is installed. &lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;b&gt;Electric Vehicle Intended Functionality, Availability, and Equity Inclusion&lt;/b&gt; informs current customers and potential purchasers of functionality, availability, and equity inclusion issues with EV charging s
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