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Articles de revues sur le sujet « Information Enhancement »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 31 juillet 2025

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1

Salmanov, V. I. "INFORMATION RELIABILITY ENHANCEMENT METHODS." Chronos: natural and technical sciences 6, no. 3(36) (2021): 3–5. http://dx.doi.org/10.52013/2712-9691-36-3-1.

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Information reliability is the property of information to reflect real-world objects with the necessary accuracy. The reliability of information is an essential characteristic of any communication system. It is found that in modern network architectures of test automation systems, the main problem in the field of enhancement of the reliability of information is the creation of methods aimed at solving the problem of enhancing the reliability for «real» time systems.

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Xiong, Yan, Fang Xu, Qiang Chen, and Jun Zhang. "Speech Enhancement Using Heterogeneous Information." International Journal of Grid and High Performance Computing 10, no. 3 (2018): 46–59. http://dx.doi.org/10.4018/ijghpc.2018070104.

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This article describes how to use heterogeneous information in speech enhancement. In most of the current speech enhancement systems, clean speeches are recovered only from the signals collected by acoustic microphones, which will be greatly affected by the acoustic noises. However, heterogeneous information from different kinds of sensors, which is usually called the “multi-stream,” are seldom used in speech enhancement because the speech waveforms cannot be recovered from the signals provided by many kinds of sensors. In this article, the authors propose a new model-based multi-stream speech

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3

ANDREADIS, L., E. GLAVAS, and Ph TSALIDES. "Image enhancement using colour information." International Journal of Remote Sensing 16, no. 12 (1995): 2285–89. http://dx.doi.org/10.1080/01431169508954556.

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Zhang, Shichao. "Information enhancement for data mining." Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 1, no. 4 (2011): 284–95. http://dx.doi.org/10.1002/widm.21.

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Kamimura, Ryotaro. "Double enhancement learning for explicit internal representations: unifying self-enhancement and information enhancement to incorporate information on input variables." Applied Intelligence 36, no. 4 (2011): 834–56. http://dx.doi.org/10.1007/s10489-011-0300-5.

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Padmini Bai, D., and P. Preethi ME. "Security Enhancement of Health Information Exchange Based on Cloud Computing System." International Journal of Scientific Engineering and Research 4, no. 10 (2016): 79–82. https://doi.org/10.70729/ijser15998.

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Horvat, Sebastian, and Borivoje Dakić. "Quantum enhancement to information acquisition speed." New Journal of Physics 23, no. 3 (2021): 033008. http://dx.doi.org/10.1088/1367-2630/abe9d4.

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Li, Rong-Chang, Xiao-Jun Wu, Cong Wu, Tian-Yang Xu, and Josef Kittler. "Dynamic information enhancement for video classification." Image and Vision Computing 114 (October 2021): 104244. http://dx.doi.org/10.1016/j.imavis.2021.104244.

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Griffiths, Mary L. "Menopause Information Service: facilitating health enhancement." British Journal of Community Health Nursing 2, no. 7 (1997): 321–26. http://dx.doi.org/10.12968/bjch.1997.2.7.7284.

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10

Khademi, Seyran, Richard C. Hendriks, and W. Bastiaan Kleijn. "Intelligibility Enhancement Based on Mutual Information." IEEE/ACM Transactions on Audio, Speech, and Language Processing 25, no. 8 (2017): 1694–708. http://dx.doi.org/10.1109/taslp.2017.2714424.

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11

Kehoe, Dennis, David Little, and Andrew Lyons. "Strategic Planning for Information Systems Enhancement." Integrated Manufacturing Systems 4, no. 2 (1993): 29–36. http://dx.doi.org/10.1108/09576069310037491.

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Kamimura, Ryotaro. "Information enhancement for interpreting competitive learning." International Journal of General Systems 39, no. 7 (2010): 705–28. http://dx.doi.org/10.1080/03081071003601421.

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Lau, S. S. Y. "Global image enhancement using local information." Electronics Letters 30, no. 2 (1994): 122–23. http://dx.doi.org/10.1049/el:19940081.

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14

Nishida, S. "Speech recognition enhancement by lip information." ACM SIGCHI Bulletin 17, no. 4 (1986): 198–204. http://dx.doi.org/10.1145/22339.22371.

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15

Destexhe, Alain. "Noise Enhancement of Neural Information Processing." Entropy 24, no. 12 (2022): 1837. http://dx.doi.org/10.3390/e24121837.

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Cortical neurons in vivo function in highly fluctuating and seemingly noisy conditions, and the understanding of how information is processed in such complex states is still incomplete. In this perspective article, we first overview that an intense “synaptic noise” was measured first in single neurons, and computational models were built based on such measurements. Recent progress in recording techniques has enabled the measurement of highly complex activity in large numbers of neurons in animals and human subjects, and models were also built to account for these complex dynamics. Here, we att

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16

Bennett, Michael J. "OPAC Design Enhancements and Their Effects on Circulation and Resource Sharing within the Library Consortium Environment." Information Technology and Libraries 26, no. 1 (2007): 36. http://dx.doi.org/10.6017/ital.v26i1.3287.

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A longitudinal study of three discrete online public access catalog (OPAC) design enhancements examined the possible effects such changes may have on circulation and resource sharing within the automated library consortium environment. Statistical comparisons were made of both circulation and interlibrary loan (ILL) figures from the year before enhancement to the year after implementation. Data from sixteen libraries covering a seven-year period were studied in order to determine the degree to which patrons may or may not utilize increasingly broader OPAC ILL options over time. Results indicat

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17

Zhao, Kaidi, Dingding Han, Yihong Bao, Jianghai Qian, and Ruiqi Yang. "A Multi-Information Spreading Model for One-Time Retweet Information in Complex Networks." Entropy 26, no. 2 (2024): 152. http://dx.doi.org/10.3390/e26020152.

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In the realm of online social networks, the spreading of information is influenced by a complex interplay of factors. To explore the dynamics of one-time retweet information spreading, we propose a Susceptible–Infected–Completed (SIC) multi-information spreading model. This model captures how multiple pieces of information interact in online social networks by introducing inhibiting and enhancement factors. The SIC model considers the completed state, where nodes cease to spread a particular piece of information after transmitting it. It also takes into account the impact of past and present i

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18

Barod, Sandeep, Deepak Pancholi, and Mukesh Patidar. "Performance Enhancement of Information Hiding in FM and AM with Rician Channel." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (2017): 1123–27. http://dx.doi.org/10.31142/ijtsrd5773.

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19

Shih, Cho-Wei, Ming-Yen Chen, Hui-Chuan Chu, and Yuh-Min Chen. "Enhancement of information seeking using an information needs radar model." Information Processing & Management 48, no. 3 (2012): 524–36. http://dx.doi.org/10.1016/j.ipm.2011.08.010.

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Gu, Yinghua. "Enhancement of College English Teachers’ Information Literacy in Information Environment." International Education Studies 13, no. 4 (2020): 106. http://dx.doi.org/10.5539/ies.v13n4p106.

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The 21st century is an era of knowledge and information. Modern science and technology based on information technology has inspired profound changes in the world, including college education. Information literacy is an intrinsic element that often plays an important role in teaching and school management. In the information age, how to improve college teachers&rsquo; information literacy has become a major issue in the development of college education. This paper focuses on the study of college English teachers&rsquo; information literacy. It first studies the basic connotation of info

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21

McNair, Monty, Caroline Howard, Indira Guzman, and Paul Watkin. "Creativity Enhancement." International Journal of Strategic Information Technology and Applications 2, no. 3 (2011): 1–8. http://dx.doi.org/10.4018/jsita.2011070101.

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Since the dawn of humanity, creativity has been critical to surmounting the challenges of life. Innovation is particularly essential to survival on every level from an individual solving his/her problems to a world dependent on adaptive approaches to cope with rapidly expanding populations and enormous international tensions. Currently, information systems programs are not fostering the creativity needed to sustain the innovation required to compete in the 21st century marketplace. Educators and researchers need to better understand the effects of creativity training on creative performance to

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22

Yin, Xing, Changhui Liu, and Xiaodong Fang. "Sentiment analysis based on BiGRU information enhancement." Journal of Physics: Conference Series 1748 (January 2021): 032054. http://dx.doi.org/10.1088/1742-6596/1748/3/032054.

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23

Serrano-Bersosa, Joselito Francisco, and Martha Magdalena Guamán-Luna. "Speech enhancement through information gap filling technique." EPISTEME KOINONIA 5, no. 9 (2022): 78. http://dx.doi.org/10.35381/e.k.v5i9.1664.

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This study investigates English language use with classroom students after applying the Information Gap Filling Technique (IGT) at the Paiguara public school in San Juan-Gualaceo, Ecuador. A sample of 22 students (12 boys and 10 girls) from the third level of BGU was selected. The research was conducted in two phases. The quantitative part used a pre- and post-test of oral interaction and in the qualitative part, a questionnaire with open-ended questions. The findings of the study showed that students increased their use of English in the classroom as a result of the application of IGT in the

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24

Zeng, Qian, and Jin Wang. "Non-Equilibrium Enhancement of Classical Information Transmission." Entropy 26, no. 7 (2024): 581. http://dx.doi.org/10.3390/e26070581.

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Information transmission plays a crucial role across various fields, including physics, engineering, biology, and society. The efficiency of this transmission is quantified by mutual information and its associated information capacity. While studies in closed systems have yielded significant progress, understanding the impact of non-equilibrium effects on open systems remains a challenge. These effects, characterized by the exchange of energy, information, and materials with the external environment, can influence both mutual information and information capacity. Here, we delve into this chall

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25

Jiang, Dandan, Dongsheng Zou, Zhipeng Deng, and Jingpei Dan. "Contextual multimodal sentiment analysis with information enhancement." Journal of Physics: Conference Series 1453 (January 2020): 012159. http://dx.doi.org/10.1088/1742-6596/1453/1/012159.

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26

Sandberg, Anders. "Enhancement Policy and the Value of Information." American Journal of Bioethics 13, no. 7 (2013): 34–35. http://dx.doi.org/10.1080/15265161.2013.795826.

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27

Soyel, H., and P. W. McOwan. "Automatic image enhancement using intrinsic geometrical information." Electronics Letters 48, no. 15 (2012): 917. http://dx.doi.org/10.1049/el.2012.1606.

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28

Jammal, Samer, Tammam Tillo, and Jimin Xiao. "Multiview video quality enhancement without depth information." Signal Processing: Image Communication 75 (July 2019): 22–31. http://dx.doi.org/10.1016/j.image.2019.03.014.

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29

Xu, Zhangbiao, Botao Zhang, Jinguang Gu, and Feng Gao. "Conditional Knowledge Extraction Using Contextual Information Enhancement." Applied Sciences 13, no. 8 (2023): 4954. http://dx.doi.org/10.3390/app13084954.

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Conditional phrases provide fine-grained domain knowledge in various industries, including medicine, manufacturing, and others. Most existing knowledge extraction research focuses on mining triplets with entities and relations and treats that triplet knowledge as plain facts without considering the conditional modality of such facts. We argue that such approaches are insufficient in building knowledge-based decision support systems in vertical domains, where specific and professional instructions on what facts apply under given circumstances are indispensable. To address this issue, this paper

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30

Huang, Kuo-Liang, Kuo-Hsiang Chen, and Chun-Heng Ho. "Enhancement of reading experience." Library Hi Tech 32, no. 3 (2014): 509–28. http://dx.doi.org/10.1108/lht-01-2014-0002.

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Purpose – Tablets are becoming mainstream devices for digital reading. Through user experience (UX), the purpose of this paper is to identify significant differences between tablet reading systems and other digital reading systems, explore potential requirements for the interactive interface, and propose design solutions so that user’ behavioral intention (BI) may be further enhanced. Design/methodology/approach – First, the authors extracted the context of use and behavior patterns by conducting contextual inquiries; then, potential requirements were identified and design solutions were devel

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31

Supriyanti, Siti, Anna Permanasari, and Fitri Khoerunnisa. "Correlation Between Information Literacy and Critical Thinking Enhancement Through PjBL-Information Literacy Learning Model." Journal of Educational Sciences 4, no. 4 (2020): 774. http://dx.doi.org/10.31258/jes.4.4.p.774-784.

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Information literacy is closely related to critical thinking skills. Critical thinking skills are related to exploring and evaluating information to make argumentation with relevant and appropriate information. It includes analyzing and synthesizing information to solve a problem where these activities are part of information literacy. Thus, information literacy-based learning should be able to enhance critical thinking skills. This study aims to determine the correlation between critical thinking skills and student’s information literacy enhancement through learning chemistry with the PjBL-IL

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32

Liu, Chia-Hui, Yu-Fang Chung, Tzer-Shyong Chen, and Sheng-De Wang. "The Enhancement of Security in Healthcare Information Systems." Journal of Medical Systems 36, no. 3 (2010): 1673–88. http://dx.doi.org/10.1007/s10916-010-9628-3.

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33

Zhang, Yu, Shunli Zhang, Xiangzhi Bai, and Li Zhang. "Human chest CT image enhancement based on basic information preservation and detail enhancement." Journal of Image and Graphics 27, no. 3 (2022): 774–83. http://dx.doi.org/10.11834/jig.210655.

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34

Zhang, Ruiyuan, and Tianqi Wu. "Analysis of Human Enhancement Technology: From the Perspective of Information Ethics." Information Theories and Applications 32, no. 1 (2025): 44–52. https://doi.org/10.54521/ijita32-01-p05.

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While exploring the potential of human capability, the rapid development of human enhancement technology leads to ethical issues that need to be solved urgently, including technical security, autonomy, privacy, equity and the potential impact of technology on human nature. In this context, information ontology and information ethics provide a possible approach and build a systematic framework for the ethical issues of human enhancement technology. This paper attempts to interpret the essence of human enhancement technology with information ontology, that is, to enhance human capability through

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35

Gebek, Andrea, та Jorryt Matthee. "On the Variation in Stellar α-enhancements of Star-forming Galaxies in the EAGLE Simulation". Astrophysical Journal 924, № 2 (2022): 73. http://dx.doi.org/10.3847/1538-4357/ac350b.

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Abstract The ratio of α-elements to iron in galaxies holds valuable information about the star formation history (SFH) since their enrichment occurs on different timescales. The fossil record of stars in galaxies has mostly been excavated for passive galaxies, since the light of star-forming galaxies is dominated by young stars, which have much weaker atmospheric absorption features. Here we use the largest reference cosmological simulation of the EAGLE project to investigate the origin of variations in stellar α-enhancement among star-forming galaxies at z = 0, and their impact on integrated

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36

Li, Jin, and Kun Shen. "Applied-Information Technology with Speech Enhancement Based on EMD and MF." Advanced Materials Research 1046 (October 2014): 384–87. http://dx.doi.org/10.4028/www.scientific.net/amr.1046.384.

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Aiming at traditional methods cannot get good performance in noisy environments, an improved method for speech enhancement based on Empirical Mode Decomposition (EMD) and Morphology Filtering (MF) was proposed. The method firstly uses EMD to obtain Intrinsic Mode Function (IMF) and for hard threshold processing, then selects appropriate structuring element to construct MF for filtering processing in remaining IMFs. Finally, speech enhancement signal is reconstructed for each IMFs. Experimental results show that the proposed method for speech enhancement has better de-noising effect by comparin

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Dwyer, Jim. "Bibliographic Records Enhancement:." Cataloging & Classification Quarterly 13, no. 3-4 (1992): 29–51. http://dx.doi.org/10.1300/j104v13n03_02.

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38

R, Aishwarya Rani M., Gururaj Gowda Patil M, and Mr Shivanand R. D. "Security Enhancement Using NTRU Algorithm Based Cryptosystem for Communication of Classified Information Via Cloud." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (2018): 148–56. http://dx.doi.org/10.31142/ijtsrd15796.

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39

K, Hemalatha. "Security Enhancement to Exchange Health Information on Cloud." International Journal for Research in Applied Science and Engineering Technology V, no. IX (2017): 1172–76. http://dx.doi.org/10.22214/ijraset.2017.9169.

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40

Lally, Laura. "The Impact of Environment on Information Infrastructure Enhancement." Journal of Global Information Management 2, no. 3 (1994): 5–13. http://dx.doi.org/10.4018/jgim.1994070101.

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41

Guo, Xiaozhou, Yi Liu, Wenyu Mao, et al. "Sdgan: Improve Speech Enhancement Quality by Information Filter." Journal of Physics: Conference Series 1871, no. 1 (2021): 012063. http://dx.doi.org/10.1088/1742-6596/1871/1/012063.

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42

Srinivas, Kankanala, and Ashish Kumar Bhandari. "Spatial Information Computation-Based Low Contrast Image Enhancement." Circuits, Systems, and Signal Processing 40, no. 10 (2021): 5077–105. http://dx.doi.org/10.1007/s00034-021-01711-y.

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43

Koczy, A. R. Varkonyi. "Fuzzy logic supported sketch based image information enhancement." International Journal of Advanced Intelligence Paradigms 1, no. 1 (2008): 31. http://dx.doi.org/10.1504/ijaip.2008.020818.

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Katemukda, Nichanach, Hanna Kropsu Vehkapera, Narongsak Comepa, and Prapaisri Sudasna na Ayudthya. "Productivity enhancement through intellectual capital and information technology." International Journal of Management and Enterprise Development 17, no. 3 (2018): 267. http://dx.doi.org/10.1504/ijmed.2018.10014493.

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LI, Jiakai, Jianyong DUAN, Hao WANG, Li HE, and Qing ZHANG. "MISpeller: Multimodal Information Enhancement for Chinese Spelling Correction." IEICE Transactions on Information and Systems E107.D, no. 10 (2024): 1342–52. http://dx.doi.org/10.1587/transinf.2023edp7269.

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46

Goldman, Mark S. "Enhancement of Information Transmission Efficiency by Synaptic Failures." Neural Computation 16, no. 6 (2004): 1137–62. http://dx.doi.org/10.1162/089976604773717568.

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Many synapses have a high percentage of synaptic transmission failures. I consider the hypothesis that synaptic failures can increase the efficiency of information transmission across the synapse. I use the information transmitted per vesicle release about the presynaptic spike train as a measure of synaptic transmission efficiency and show that this measure can increase with the synaptic failure probability. I analytically calculate the Shannon mutual information transmitted across two model synapses with probabilistic transmission: one with a constant probability of vesicle release and one w

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E. Bryan, Jacalyn. "Critical thinking, information literacy and quality enhancement plans." Reference Services Review 42, no. 3 (2014): 388–402. http://dx.doi.org/10.1108/rsr-01-2014-0001.

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Purpose – This paper aims to investigate the relationship between information literacy and critical thinking. Specifically, the connection between the elements of critical thinking as expressed in one university’s Quality Enhancement Plan (QEP) and the advancing learning transforming scholarship (ACRL) Information Literacy Competency Standards (ACRL IL Standards). Concrete examples of how librarians support information literacy and critical thinking were examined. Design/methodology/approach – Following a literature review, the ACRL IL Standards were mapped to the elements of a university’s QE

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Bartoněk, Dalibor, Jiří Bureš, and Irena Opatřilová. "Enhancement of Image Classification via Geographic Information Systems." Advanced Science Letters 21, no. 12 (2015): 3737–40. http://dx.doi.org/10.1166/asl.2015.6563.

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Wang, Zhibin, Kaiyi Wang, Feng Yang, Shouhui Pan, Yanyun Han, and Xiangyu Zhao. "Image enhancement for crop trait information acquisition system." Information Processing in Agriculture 5, no. 4 (2018): 433–42. http://dx.doi.org/10.1016/j.inpa.2018.07.002.

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Claverie, Jean-Michel, and David J. States. "Information enhancement methods for large scale sequence analysis." Computers & Chemistry 17, no. 2 (1993): 191–201. http://dx.doi.org/10.1016/0097-8485(93)85010-a.

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