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Journal articles on the topic 'Feature management'

Author: Grafiati
Published: 9 March 2023
Last updated: 31 July 2025

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1

Gautham, Ram Rajendiran. "A Feature Flag Framework for Toggling Features in Warehouse Management Systems." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 10, no. 1 (2024): 1–7. https://doi.org/10.5281/zenodo.13949856.

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Feature flagging is a very useful technique for evaluating and optimizing feature performance in software systems. In software systems with complex features, introducing a new feature by using the control and treatment mechanism will include multiple parameters that determine whether or not a particular treatment should be applied to the request. This paper explores the design of a methodology to pass in feature flags in the context of a Warehouse Management System to enable dynamic feature toggles based on the context of the request being processed. The framework uses modular strategies for c
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2

Hora, Parul, Neha Sheth, and Santosh K. Vishwakarma. "Disaster Management using Ontology Feature." International Journal of Computer Applications 183, no. 49 (2022): 6–9. http://dx.doi.org/10.5120/ijca2022921901.

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3

Lamprecht, Anna-Lena, Stefan Naujokat, and Ina Schaefer. "Variability Management beyond Feature Models." Computer 46, no. 11 (2013): 48–54. http://dx.doi.org/10.1109/mc.2013.299.

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4

Beuche, Danilo, Holger Papajewski, and Wolfgang Schröder-Preikschat. "Variability management with feature models." Science of Computer Programming 53, no. 3 (2004): 333–52. http://dx.doi.org/10.1016/j.scico.2003.04.005.

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5

Bitton, Etty. "Lubricity feature enhances SLK management." Contact Lens and Anterior Eye 38 (February 2015): e27-e28. http://dx.doi.org/10.1016/j.clae.2014.11.037.

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6

Lamke, Gene G. "A Journal Feature–Personnel Management." Recreational Sports Journal 16, no. 1 (1991): 12. http://dx.doi.org/10.1123/nirsa.16.1.12.

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7

Govier, Ian. "Feature." Nursing Management 10, no. 9 (2004): 13–15. http://dx.doi.org/10.7748/nm.10.9.13.s12.

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8

Chen, Siyao, Abhit Daiya, and Rubhrat Deb. "Machine learning and Feature Selection: Applications in Business Management." Journal of Economic Theory and Business Management 1, no. 6 (2024): 33–38. https://doi.org/10.70393/6a6574626d.323438.

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In recent years, we have a higher demand for machine learning models in the field of economics and business managment. We have a higher demand for quality of the features used for training. In this process, feature selection plays a key role in identifying the most meaningful features from a dataset while we perfrom various business tasks. Feature selection is not just a technical exercise; it also has profound implications for the transparency and explainability of machine learning models. This study aims to be a valuable resource for both academic and industry experts, offering insights that
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9

Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 22, no. 3 (1997): 111–24. http://dx.doi.org/10.1177/0256090919970312.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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10

Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 23, no. 3 (1998): 91–104. http://dx.doi.org/10.1177/0256090919980312.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 24, no. 1 (1999): 93–106. http://dx.doi.org/10.1177/0256090919990111.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 24, no. 2 (1999): 69–82. http://dx.doi.org/10.1177/0256090919990209.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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13

Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 24, no. 3 (1999): 71–84. http://dx.doi.org/10.1177/0256090919990310.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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14

Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 24, no. 4 (1999): 81–94. http://dx.doi.org/10.1177/0256090919990411.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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15

Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 25, no. 1 (2000): 127–42. http://dx.doi.org/10.1177/0256090920000120.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New DelhC this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 25, no. 4 (2000): 107–32. http://dx.doi.org/10.1177/0256090920000411.

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This section features abstracts of article covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Author desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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17

Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 26, no. 1 (2001): 143–68. http://dx.doi.org/10.1177/0256090920010110.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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18

Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 26, no. 2 (2001): 107–27. http://dx.doi.org/10.1177/0256090920010209.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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19

Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 26, no. 4 (2001): 113–34. http://dx.doi.org/10.1177/0256090920010410.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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20

Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 27, no. 1 (2002): 99–122. http://dx.doi.org/10.1177/0256090920020111.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for� inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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21

Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 27, no. 2 (2002): 95–114. http://dx.doi.org/10.1177/0256090920020210.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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22

Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 27, no. 3 (2002): 79–98. http://dx.doi.org/10.1177/0256090920020309.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Uffice.
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23

Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 27, no. 4 (2002): 103–22. http://dx.doi.org/10.1177/0256090920020410.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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24

De Giovanni, Pietro. "Recursive Effects to Study Feature-Based Capabilities in Supply Chain Management." Logistics 4, no. 4 (2020): 28. http://dx.doi.org/10.3390/logistics4040028.

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This paper explores the benefits that firms obtain when investing in feature-based capabilities. We investigate the external pressures when deciding their feature-based strategy. In addition, we analyze the consumers’ customization options and the needs for facilitators to mitigate the negative effects of excessive features. We assess the influence of feature-based capabilities on performance and search for an economically feasible loop that feature-based capabilities might entail. This latter is carried out by investigating the recursive effects in structural equation modeling. Our findings r
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25

Gattol, Valentin, Maria Sääksjärvi, Tripat Gill, and Jan Schoormans. "Feature fit." European Journal of Innovation Management 19, no. 4 (2016): 589–607. http://dx.doi.org/10.1108/ejim-08-2015-0069.

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Purpose Previous research in the context of feature fit has examined the effects of congruence (i.e. more specifically, the extent to which a new feature and the product are similar in the hedonic-utilitarian benefits they provide to consumers). The purpose of this paper is to examine a second dimension of feature fit: complementarity (i.e. the extent to which a new feature is related and contributing to the main functionality of the product). Design/methodology/approach The role of feature fit is examined in two experimental studies (n=593) in the context of feature additions, and also for fe
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26

Komyanchina, K. "Quality management as new function and feature of modern management." Bulletin of the South Ural State University Series «Social Sciences and the Humanities» 16, no. 03 (2016): 68–72. http://dx.doi.org/10.14529/ssh160310.

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27

Sarkar, Mitali. "Abstracts Indian Management Research." Vikalpa: The Journal for Decision Makers 22, no. 4 (1997): 77–89. http://dx.doi.org/10.1177/0256090919970411.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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28

Sarkar, Mitali. "Abstracts Indian Management Research." Vikalpa: The Journal for Decision Makers 25, no. 2 (2000): 79–92. http://dx.doi.org/10.1177/0256090920000209.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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29

Sarkar, Mitali. "Abstracts Indian Management Research." Vikalpa: The Journal for Decision Makers 25, no. 3 (2000): 89–103. http://dx.doi.org/10.1177/0256090920000310.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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30

Wicaksono, Galih Wasis, Pamula Brian Nawisworo, Evi Dwi Wahyuni, and Yus Muhammad Cholily. "Canvas Learning Management System Feature Analysis Using Feature-Oriented Domain Analysis (FODA)." IOP Conference Series: Materials Science and Engineering 1077, no. 1 (2021): 012041. http://dx.doi.org/10.1088/1757-899x/1077/1/012041.

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31

Zenios, Stavros A., and David Saunders. "Feature Cluster: Operational Research for Risk Management." European Journal of Operational Research 185, no. 3 (2008): 1402–3. http://dx.doi.org/10.1016/j.ejor.2006.09.001.

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32

Renuka, Kulkarni. "Editability Feature in Customer Communication Management Tools." International Journal of Leading Research Publication 1, no. 2 (2020): 1–5. https://doi.org/10.5281/zenodo.14673290.

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In general terms, Editability refers to the ability to modify, alter, or adjust something after it has been created or established. The concept of editability is implemented in various areas, such as documents, designs, software, content, and even systems. The addition of the editability feature ultimately makes communication flexible and easy to use in various ways. Editability can be interchangeably referred to in multiple functions in software depending upon the context it refers to.In software, editability refers to the ability to customize or modify the application's functionality or user
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33

Seny Kan, Konan Anderson, Ababacar Mbengue, Mahamadou Biga-Diambeidou, and dt ogilvie. "Introduction to the Thematic Feature." La recherche en management internationale et l’Afrique — Une perspective de recherche-action 26, no. 3 (2022): 127–39. http://dx.doi.org/10.7202/1090298ar.

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This article shows how international business/management (IB/IM) research can be articulated to an in-depth understanding of Africa to serve both academic knowledge development and African priorities. It critically recalls the central characteristics of IB/IM as a field of research, shows how Africa is studied in this field, suggests “African management” as one response to some of the major criticisms of current research in IB/IM, outlines some crossovers between IB/IM and African management, and discusses the contribution of Africa-focused publications in the journal International Management
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34

Obike, Peter G., Okure U. Obot, and Victor E. Ekong. "Feature Engineering for Agile Requirement Management Using Semantic Analysis." Journal of Engineering Research and Reports 26, no. 9 (2024): 287–304. http://dx.doi.org/10.9734/jerr/2024/v26i91280.

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Efficient management and prioritization of software requirements are critical challenges in agile projects, where requirements constantly evolve due to changing user needs, business goals, and regulatory updates. This paper explores the role of semantic feature extraction in enabling adaptive management strategies. Using the PROMISE Expanded Dataset and the Coquina Dataset, we employed TF-IDF weighted Word2Vec for advanced tokenization and feature extraction. Latent Dirichlet Allocation (LDA) was used to analyze how preprocessing steps like stop word removal impact topic representation, reveal
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35

Ippakayala, Vinay Kumar, and Hosam El-Ocla. "OLMS: Online Learning Management System for E-Learning." World Journal on Educational Technology: Current Issues 6, no. 3 (2017): 130. http://dx.doi.org/10.18844/wjet.v6i3.1973.

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In this paper we introduce a learning management system that provides a management system for centralized control of course content. A secure system to record lectures is implemented as a key feature of this application. This feature would be accessed through web camera and mobile recording. These features are mainly designed for e-learning environment. In addition, we integrate a learning management system with a platform for social activities and student assessment analysis is developed. Users Including students, professors, and administrators are able to manage schedules, lectures, assignme
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Ippakayala, Vinay Kumar, and Hosam El-Ocla. "OLMS: Online Learning Management System for E-Learning." World Journal on Educational Technology: Current Issues 9, no. 3 (2017): 130–38. http://dx.doi.org/10.18844/wjet.v9i3.1973.

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In this paper we introduce a learning management system that provides a management system for centralized control of course content. A secure system to record lectures is implemented as a key feature of this application. This feature would be accessed through web camera and mobile recording. These features are mainly designed for e-learning environment. In addition, we integrate a learning management system with a platform for social activities and student assessment analysis is developed. Users Including students, professors, and administrators are able to manage schedules, lectures, assignme
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37

Baker, Scott, Bruce Pinchin, and Milo Sturm. "PHYSICAL MODELLING STUDIES FOR THE SCARBOROUGH WATERFRONT PROJECT." Coastal Engineering Proceedings, no. 38 (May 29, 2025): 7. https://doi.org/10.9753/icce.v38.management.7.

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The Scarborough Bluffs are an iconic feature of the Lake Ontario shoreline; however, due to limited access and existing public safety hazards, the water’s edge along this section of Toronto’s waterfront is not formally accessible to the public. The Scarborough Waterfront Project aims to create a system of naturalized spaces along Lake Ontario, and will balance waterfront revitalization and public access with natural heritage and natural hazard protection and management.
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38

Zhou, Peng, Ni Wang, and Shu Zhao. "Online group streaming feature selection considering feature interaction." Knowledge-Based Systems 226 (August 2021): 107157. http://dx.doi.org/10.1016/j.knosys.2021.107157.

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39

Choi, Jinmu, Jeong Chang Seong, Bora Kim, and E. Lynn Usery. "Innovations in Individual Feature History Management—The Significance of Feature-based Temporal Model." GeoInformatica 12, no. 1 (2007): 1–20. http://dx.doi.org/10.1007/s10707-007-0019-y.

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40

Corallo, Angelo, Manuela Marra, and Claudio Pascarelli. "Knowledge-Based Manufacturing: Management and Deployment of Manufacturing Rules through Product Lifecycle Management Systems." Aerospace 6, no. 4 (2019): 41. http://dx.doi.org/10.3390/aerospace6040041.

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In manufacturing companies, computer-aided design (CAD)/computer-aided manufacturing (CAM) feature-based approaches have been developed for faster numerical control (NC) programming. They allow to automatically generate toolpath, recognizing both standard and custom machining features, and defining for each of them the best or preferred machining process based on predefined rules. The definition of Feature Based Manufacturing (FBM) rules requires advanced competences and skills; furthermore, the standardization required by these instruments is too rigorous for real machining practices. It is t
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41

N M Bazlur Rashid, A., and Tonmoy Choudhury. "Knowledge management overview of feature selection problem in high-dimensional financial data: cooperative co-evolution and MapReduce perspectives." Problems and Perspectives in Management 17, no. 4 (2019): 340–59. http://dx.doi.org/10.21511/ppm.17(4).2019.28.

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The term “big data” characterizes the massive amounts of data generation by the advanced technologies in different domains using 4Vs – volume, velocity, variety, and veracity - to indicate the amount of data that can only be processed via computationally intensive analysis, the speed of their creation, the different types of data, and their accuracy. High-dimensional financial data, such as time-series and space-time data, contain a large number of features (variables) while having a small number of samples, which are used to measure various real-time business situations for financial organiza
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42

Madan, Karun, Dr Kavita Taneja, and Dr Harmunish Taneja. "AI BASED FEATURE SELECTION MODEL FOR SOCCER SPORTS MANAGEMENT." International Journal of Engineering Science and Humanities 14, Special Issue 1 (2024): 38–42. http://dx.doi.org/10.62904/mf4qy057.

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Due to swift development of data mining as well as machine-learning technology and the flare- up of big sports data mining expansion challenges, sports data mining cannot merely use data statistical methods such as how to club machine learning and data mining technology for efficient mining and analysis of the sports data, to supply useful advice for the public physical exercise, and this is an vital need to study. It is a kind of effective sports data mining work through feature selection algorithm. Around the tricky problems existing in the study of the sports effect, given the drawback of e
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Dianiya, Vicky. "Management Privacy dalam Penggunaan Fitur “Close Friend” di Instagram." Jurnal Studi Komunikasi (Indonesian Journal of Communications Studies) 5, no. 1 (2021): 249. http://dx.doi.org/10.25139/jsk.v5i1.2652.

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Social media is basically to share information and self-disclosures by the account owner. However, there is an attitude of caution in expressing which must also be considered and needs to be considered. Technological developments make more and more new features appear on various social media platforms, one of them is the close friend feature on Instagram that can be used to limit users in sharing information that is considered more privacy. This study uses the Communication Privacy Management theory as a framework for investigating how Instagram users, especially young adults, use and respond
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Zhang, Yinsheng, Ru Ji, Yuxiang Hu, et al. "Real-Time Semantic Segmentation of Remote Sensing Images for Land Management." Photogrammetric Engineering & Remote Sensing 90, no. 6 (2024): 335–43. http://dx.doi.org/10.14358/pers.23-00083r2.

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Remote sensing image segmentation is a crucial technique in the field of land management. However, existing semantic segmentation networks require a large number of floating-point operations (FLOPs) and have long run times. In this paper, we propose a dual-path feature aggregation network (DPFANet) specifically designed for the low-latency operations required in land management applications. Firstly, we use four sets of spatially separable convolutions with varying dilation rates to extract spatial features. Additionally, we use an improved version of MobileNetV2 to extract semantic features.
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45

Lee, Se-Jin, Byung-Jae Park, Jong-Hwan Lim, and Dong-Woo Cho. "Feature map management for mobile robots in dynamic environments." Robotica 28, no. 1 (2009): 97–106. http://dx.doi.org/10.1017/s026357470900561x.

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SUMMARYThis paper presents a new approach to the management of the environmental map for mobile robots in dynamic environments. The environmental map is built of primitive features, such as lines, points, and even circles, extracted from ambiguous data captured by the robot's sonar sensor ring. The feature map must be managed because the indoor surroundings where mobile robots operate are continuously changing due to nonstationary objects, such as wastebaskets, tables, and people. The features are processed by trimming, division, or removal, depending on the dynamic circumstances. All processi
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Bouikni, Nadjib, Alain Desrochers, and Louis Rivest. "A Product Feature Evolution Validation Model for Engineering Change Management." Journal of Computing and Information Science in Engineering 6, no. 2 (2006): 188–95. http://dx.doi.org/10.1115/1.2194909.

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Product design integrates several disciplines in a concurrent engineering (CE) environment. Each one of these disciplines has a specific point of view on the product being developed. While each discipline exerts its own expertise and methods on the definition of the product and its related processes, information must remain consistent for all disciplines and through the evolution of the product definition. This paper proposes a product feature evolution validation (PFEV) model that aims at controlling the information flow needed to support a product definition evolution (PDE) while insuring it
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47

LI, R. K., C. Y. LIN, and H. H. WU. "Feature modification framework for feature based design systems." International Journal of Production Research 33, no. 2 (1995): 549–63. http://dx.doi.org/10.1080/00207549508930165.

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48

Verma, A. K., and S. Rajotia. "Feature vector: a graph-based feature recognition methodology." International Journal of Production Research 42, no. 16 (2004): 3219–34. http://dx.doi.org/10.1080/00207540410001699408.

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49

KASYMBEKOV, A. S., and A. R. KHASANOV. "ORGANIZATIONAL AUTOMATED CONTROL SYSTEMS AND FEATURE." Q A Iasaýı atyndaǵy Halyqaralyq qazaq-túrіk ýnıversıtetіnіń habarlary (fızıka matematıka ınformatıka serııasy), no. 1 (March 15, 2022): 7–17. http://dx.doi.org/10.47526/2022-2/2524-0080.01.

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The article discusses the automated management systems of the organization and the study of the features of the automation process of software development. The main directions of automation of the management process, functional and structural parts of automated management systems of the organization and their classification are described. It provides for scripting or automating a wide range of software tasks for compiling and packaging code, performing automated tests, implementing software and creating documentation using the example of the integrated automated management system "University".
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Akmal, Akmal, Rinaldi Munir, and Judhi Santoso. "Automatic Weight of Color, Texture, and Shape Features in Content-Based Image Retrieval Using Artificial Neural Network." JOIV : International Journal on Informatics Visualization 7, no. 3 (2023): 665. http://dx.doi.org/10.30630/joiv.7.3.1184.

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Image retrieval is the process of finding images in the database that are similar to the query image by measuring how close the feature values of the query image are to other images. Image retrieval is currently dominated by approaches that combine several different representations or features. The optimal weight of each feature is needed in combining the image features such as color features, texture features, and shape features. In this study, we use a multi-layer perceptron artificial neural network (MLP) method to obtain feature weights automatically and simultaneously look for optimal wei
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