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Journal articles on the topic 'RIDOR'

Author: Grafiati

Published: 19 February 2023

Last updated: 31 July 2025

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1

Akram, Wasim, and Muhammad Imran. "Pakistan stock exchange prediction using RIDOR classifier." International Journal of ADVANCED AND APPLIED SCIENCES 4, no. 9 (2017): 130–37. http://dx.doi.org/10.21833/ijaas.2017.09.018.

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2

Alshamaila, Yazn, Hamad Alsawalqah, Maria Habib, et al. "An intelligent rule-oriented framework for extracting key factors for grants scholarships in higher education." International Journal of Data and Network Science 8, no. 2 (2024): 1325–40. http://dx.doi.org/10.5267/j.ijdns.2023.11.002.

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Education is a fundamental sector in all countries, where in some countries students com-pete to get an educational grant due to its high cost. The incorporation of artificial intelli-gence in education holds great promise for the advancement of educational systems and pro-cesses. Educational data mining involves the analysis of data generated within educational environments to extract valuable insights into student performance and other factors that enhance teaching and learning. This paper aims to analyze the factors influencing students' performance and consequently, assist granting organiz

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3

Siebra, Clauirton Albuquerque, Ramon N. Santos, and Natasha C. Q. Lino. "A Self-Adjusting Approach for Temporal Dropout Prediction of E-Learning Students." International Journal of Distance Education Technologies 18, no. 2 (2020): 19–33. http://dx.doi.org/10.4018/ijdet.2020040102.

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This work proposes a dropout prediction approach that is able to self-adjust their outcomes at any moment of a degree program timeline. To that end, a rule-based classification technique was used to identify courses, grade thresholds and other attributes that have a high influence on the dropout behavior. This approach, which is generic so that it can be applied to any distance learning degree program, returns different rules that indicate how the predictions are adjusted along with academic terms. Experiments were carried out using four rule-based classification algorithms: JRip, OneR, PART a

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4

Gaikwad, D. P., and S. V. Chaitanya. "Grading Method of Ensemble and Genetic Algorithm for Intrusion Detection System." SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology 14, Spl-2 issu (2022): 262–70. http://dx.doi.org/10.18090/samriddhi.v14spli02.11.

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Intrusion Detection System is very important tool for network security. However, Intrusion Detection System suffers from the problem of handling large volume of data and produces high false positive rate. In this paper, a novel Grading method of ensemble has proposed to overcome limitation of intrusion detection system. Partial decision tree (PART), RIpple DOwn Rule (RIDOR) learner and J48 decision tree have used as base classifiers of Grading classifier. Optimzed Genetic Search algorithm have used for selection of features.These three base classifiers have graded using RandomForest decision t

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5

Banubakode, Abhijit, and Mohammed Gadhia. "Query Optimization in Object Oriented Database Using Cursor with Special Reference to Parallel Processing." SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology 14, Spl-2 issu (2022): 301–6. http://dx.doi.org/10.18090/samriddhi.v14spli02.18.

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Intrusion Detection System is very important tool for network security. However, Intrusion Detection System suffers from the problem of handling large volume of data and produces high false positive rate. In this paper, a novel Grading method of ensemble has proposed to overcome limitation of intrusion detection system. Partial decision tree (PART), RIpple DOwn Rule (RIDOR) learner and J48 decision tree have used as base classifiers of Grading classifier. Optimzed Genetic Search algorithm have used for selection of features.These three base classifiers have graded using RandomForest decision t

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6

Gil Montero, Adianys, Yasser Vázquez Alfonso, and Efraín Velasteguí López. "Algoritmos de minería de datos para el análisis del riesgo de desastre fitosanitario en el municipio Nueva Paz." Ciencia Digital 9, no. 2 (2019): 306–18. http://dx.doi.org/10.33262/cienciadigital.v9i2.310.

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El desastre es función del proceso de riesgo y resultado de la combinación de amenazas, condiciones de vulnerabilidad e insuficiente capacidad o medidas para reducir las consecuencias negativas y potenciales del riesgo. Ante estas emergencias surgen estudios de peligro, vulnerabilidad y riesgos de desastres sanitarios que hoy en día juegan un rol muy importante para todos los sectores, tanto de la comunidad internacional como nacional. Esta temática de considerable interés constituye el objetivo de esta investigación que permite la gestión de los indicadores de riesgo de desastres fitosanitari

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7

Jones, C. Berin. "ACCURATE WEATHER FORECASTING OVER WIDE DATASETS USING MACHINE LEARNING MODELS." ICTACT Journal on Soft Computing 15, no. 1 (2024): 3400–3412. http://dx.doi.org/10.21917/ijsc.2024.0478.

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Accurate weather forecasting is crucial for numerous sectors, including agriculture, disaster management, and daily life. This study leverages advanced data mining techniques to analyze and predict weather patterns using extensive historical weather data. Predicting daily weather patterns with high accuracy remains challenging due to the complexity and variability of climate factors. This study aims to identify the most effective machine learning models for this task by comparing various algorithms. Weather data collected over ten years from ten different datasets were analyzed using a diverse

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8

Rider, Virginia. "Progesterone and the control of uterine cell proliferation and differentiation." Frontiers in Bioscience 7, no. 1-3 (2002): d1545. http://dx.doi.org/10.2741/rider.

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9

Ogbeivor, Collins. "Qualitative Semi-Structured Interviews on the Experiences of Subacromial Impingement Syndrome (SAIS) Patients Receiving Shoulder Injections." Research International Journal of Orthopedics and Rheumatology 01, no. 01 (2020): 001–0013. http://dx.doi.org/10.37179/rijor.000001.

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10

Garma, Santiago. "Matemáticas y restauración. Del rigor formal al rigor verdadero." Arbor 160, no. 628 (1998): 393–419. http://dx.doi.org/10.3989/arbor.1998.i628.1760.

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11

Bernieri, Frank J. "Rigor is Rigor." Theory & Psychology 1, no. 3 (1991): 369–73. http://dx.doi.org/10.1177/0959354391013006.

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12

Sandelowski, Margarete. "Rigor or rigor mortis." Advances in Nursing Science 16, no. 2 (1993): 1–8. http://dx.doi.org/10.1097/00012272-199312000-00002.

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13

Thepade, Sudeep, Rik Das, and Saurav Ghosh. "Decision fusion-based approach for content-based image classification." International Journal of Intelligent Computing and Cybernetics 10, no. 3 (2017): 310–31. http://dx.doi.org/10.1108/ijicc-07-2016-0025.

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Purpose Current practices in data classification and retrieval have experienced a surge in the use of multimedia content. Identification of desired information from the huge image databases has been facing increased complexities for designing an efficient feature extraction process. Conventional approaches of image classification with text-based image annotation have faced assorted limitations due to erroneous interpretation of vocabulary and huge time consumption involved due to manual annotation. Content-based image recognition has emerged as an alternative to combat the aforesaid limitation

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14

Swapna Rani, Et al. "Network Based Intrusion Detection System Using Weighted Product Model (WPM)." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10 (2023): 1844–53. http://dx.doi.org/10.17762/ijritcc.v11i10.8761.

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A security technology called a network-based intrusion detection system (NIDS) was created to safeguard computer networks against unauthorised access and criminal activity. This technology works by analysing network traffic, spotting potential risks, and informing administrators of any possible incursions or attacks. NIDS research ensures that intrusion detection systems are built to minimise the gathering and storage of sensitive data by taking into account the value of privacy and data protection .In general, network-based intrusion detection system research has a major impact on how well th

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15

Florczak, Kristine L. "Rigor." Nursing Science Quarterly 24, no. 3 (2011): 202–5. http://dx.doi.org/10.1177/0894318411409429.

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16

Bankaitis, Vytas A. "Peer review: rigor? Or rigor mortis?" EMBO reports 15, no. 8 (2014): 818–19. http://dx.doi.org/10.15252/embr.201439204.

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17

Bankaitis, Vytas A. "Peer review: rigor? Or rigor mortis?" EMBO reports 15, no. 11 (2014): 1219. http://dx.doi.org/10.15252/embr.201439628.

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18

Bernard, Christophe. "Editorial: Scientific Rigor or Rigor Mortis?" eneuro 3, no. 4 (2016): ENEURO.0176–16.2016. http://dx.doi.org/10.1523/eneuro.0176-16.2016.

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19

P Pawar, Arjun, Nikita N Marathe, Naresh B Kumar, and Yash Marathe. "Little Rider: Giant Subhepatic Appendicitis." International Journal of Science and Research (IJSR) 12, no. 11 (2023): 1715–18. http://dx.doi.org/10.21275/sr231115144526.

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20

Ortega, Roche Edelvys, Cabrera Jorge Daniel Hernández, and Plasencia Gilberto Rodríguez. "Evaluación de la granulometría en los áridos empleados por la Empresa Provincial de la Construcción." Universidad & ciencia 14, no. 2 (2025): e8721. https://doi.org/10.5281/zenodo.15333752.

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<strong>Introducción:</strong> Los áridos son fundamentales en las mezclas, son los materiales más utilizados en las construcciones, la distribución granulométrica en las dosificaciones influye de manera directa en la calidad, laborabilidad y posterior resistencia de los morteros de cemento. Los áridos empleados por la Empresa Provincial de la Construcción en la provincia Ciego de Ávila no disponen de una adecuada calidad, al presentar elevados desperdicios en los procesos de reparación y mantenimiento de viviendas, lo que se tradu

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21

Boccia Paz, Alfredo. "El rigor médico durante la guerra del Chaco." Anales de la Facultad de Ciencias Médicas (Asunción) 56, no. 3 (2023): 125–27. http://dx.doi.org/10.18004/anales/2023.056.03.125.

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22

Grohmann, Rafael. "Rider Platforms?" South Atlantic Quarterly 120, no. 4 (2021): 839–52. http://dx.doi.org/10.1215/00382876-9443392.

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The aim of this article is to analyze the emergence of worker-owned platforms—whether cooperatives or collectives—as a laboratory of platform labor, considering the circulation of workers’ struggles. The research involves six cases in three different countries (Spain, France, Brazil) according to the following dimensions: productive processes and work organization, technological challenges and building platforms, use of social media to communicate with and organize workers, cooperation among cooperatives, and the future of worker-owned experiences. The analysis highlights that, despite differe

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23

Endicott, John E. "Intellectual rigor." Bulletin of the Atomic Scientists 56, no. 2 (2000): 73–74. http://dx.doi.org/10.2968/056002018.

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24

Emison, Patricia. "Durer's Rider." Renaissance Studies 19, no. 4 (2005): 511–22. http://dx.doi.org/10.1111/j.1477-4658.2005.00115.x.

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25

Mossman, Kaspar. "Easy Rider." Scientific American 293, no. 6 (2005): 118–21. http://dx.doi.org/10.1038/scientificamerican1205-118.

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26

Wright, C. "Night Rider." Literary Imagination 2, no. 1 (2000): 104–7. http://dx.doi.org/10.1093/litimag/2.1.104.

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27

Petit, P. "Dispatch Rider." Literary Imagination 8, no. 3 (2006): 440. http://dx.doi.org/10.1093/litimag/8.3.440.

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28

Tayal, U. "Whale Rider." BMJ 327, no. 7412 (2003): 455—a—455. http://dx.doi.org/10.1136/bmj.327.7412.455-a.

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29

Schneider, D. "Easy rider." IEEE Spectrum 46, no. 9 (2009): 26–27. http://dx.doi.org/10.1109/mspec.2009.5210037.

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30

Marcus, Gerald. "Shoulder Rider." American Journal of Nursing 102, no. 2 (2002): 50. http://dx.doi.org/10.1097/00000446-200202000-00021.

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31

Tarricone, Paul. "Night Rider." Lighting Design + Application 34, no. 2 (2004): 35–40. https://doi.org/10.1177/036063250403400216.

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32

Tienken, Christopher H. "Reconsidering Rigor." Kappa Delta Pi Record 51, no. 1 (2015): 10–12. http://dx.doi.org/10.1080/00228958.2015.988557.

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33

Sethi, V. "Circuit Rider." IEEE Potentials 16, no. 4 (1997): 47. http://dx.doi.org/10.1109/mp.1997.624344.

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34

Pelley, Janet. "Midnight rider." Environmental Science & Technology 43, no. 6 (2009): 1661–62. http://dx.doi.org/10.1021/es900028u.

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35

Manilov, Stanislav, Björn Franke, Anthony Magrath, and Cedric Andrieu. "Free Rider." ACM SIGPLAN Notices 50, no. 5 (2015): 1–10. http://dx.doi.org/10.1145/2808704.2754962.

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36

Hulbert, Lianna. "Night rider." Electronics Education 2000, no. 2 (2000): 20–22. http://dx.doi.org/10.1049/ee.2000.0036.

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37

Rozeboom, William W. "Conceptual Rigor." Theory & Psychology 1, no. 3 (1991): 383–88. http://dx.doi.org/10.1177/0959354391013008.

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38

Bateson, Nora. "Slippery rigor." Kybernetes 36, no. 7/8 (2007): 1141–42. http://dx.doi.org/10.1108/03684920710777937.

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39

Gill, James R., and Kristen Landi. "Putrefactive Rigor." American Journal of Forensic Medicine and Pathology 32, no. 3 (2011): 242–44. http://dx.doi.org/10.1097/paf.0b013e3181dd17b9.

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40

Ross, Matt. "Easy Rider." Electric and Hybrid Vehicle Technology International 2018, no. 2 (2019): 23–24. http://dx.doi.org/10.12968/s1467-5560(22)60412-3.

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41

Fox, William. "Boundary rider." Antipodes 36, no. 1 (2022): 15. http://dx.doi.org/10.1353/apo.2022.a906027.

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42

Donlevy, Michael. "Dirt Rider." Industrial Vehicle Technology International 27, no. 1 (2019): 86–92. http://dx.doi.org/10.12968/s1471-115x(23)70439-x.

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THE TA300 ARTICULATED HAULER FROM TEREX TRUCKS HAS JUST BEEN UPDATED WITH A WEALTH OF FRESH ENHANCEMENTS, INCLUDING A COMPLETELY NEW TRANSMISSION, TO ENABLE IT TO POWER THROUGH THE STICKIEST OF SITUATIONS, AHAD OF THE COMPETITION

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43

Hambling, David. "Easy rider." New Scientist 225, no. 3002 (2015): 38–39. http://dx.doi.org/10.1016/s0262-4079(15)60034-3.

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44

Kendall, Philip C., and Ellen C. Flannery-Schroeder. "Rigor, but not rigor mortis, in depression research." Journal of Personality and Social Psychology 68, no. 5 (1995): 892–94. http://dx.doi.org/10.1037/0022-3514.68.5.892.

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45

Moody, Joanna, Scott Middleton, and Jinhua Zhao. "Rider-to-rider discriminatory attitudes and ridesharing behavior." Transportation Research Part F: Traffic Psychology and Behaviour 62 (April 2019): 258–73. http://dx.doi.org/10.1016/j.trf.2019.01.003.

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46

Riorda, Mario, and Sofia Conrero. "La gestión de redes cambia toda la gestión." Austral Comunicación 6, no. 1 (2017): 5–44. http://dx.doi.org/10.26422/aucom.2017.0601.rior.

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47

Eisenhardt, Kathleen M., Melissa E. Graebner, and Scott Sonenshein. "Grand Challenges and Inductive Methods: Rigor without Rigor Mortis." Academy of Management Journal 59, no. 4 (2016): 1113–23. http://dx.doi.org/10.5465/amj.2016.4004.

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48

Tennen, Howard, Jennifer A. Hall, and Glenn Affleck. "Rigor, rigor mortis, and conspiratorial views of depression research." Journal of Personality and Social Psychology 68, no. 5 (1995): 895–900. http://dx.doi.org/10.1037/0022-3514.68.5.895.

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49

Walt, Stephen M. "Rigor or Rigor Mortis? Rational Choice and Security Studies." International Security 23, no. 4 (1999): 5–48. http://dx.doi.org/10.1162/isec.23.4.5.

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50

Dhotre, Akshay, Ganesh Swami, Sanket Bhave, Siddhant Jinturkar, and A. K. Lohate. "Intelligent Helmet System for Enhanced Rider Safety." International Journal of Research Publication and Reviews 4, no. 6 (2023): 4374–80. http://dx.doi.org/10.55248/gengpi.4.623.47819.

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