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Journal articles on the topic 'Low-end'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Wessels, Coen. "GIS: High end en low end." AGORA Magazine 7, no. 2 (2019): 17. http://dx.doi.org/10.21825/agora.v7i2.15299.

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2

Birringer, Johannes. "Low-End Resilience Theory." PAJ: A Journal of Performance and Art 41, no. 3 (2019): 28–43. http://dx.doi.org/10.1162/pajj_a_00484.

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3

Nyong'o, T. "THE LOW-END THEORY." GLQ: A Journal of Lesbian and Gay Studies 13, no. 2-3 (2007): 403–5. http://dx.doi.org/10.1215/10642684-2006-040.

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4

Juliussen, E. "Which low-end workstation?" IEEE Spectrum 31, no. 4 (1994): 51–54. http://dx.doi.org/10.1109/6.272235.

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5

Segelitz-Karsten, Ariane, Ronny Reinhardt, Nadine Hietschold, Sebastian Gurtner, and Gianfranco Walsh. "Attitude towards Low-end and High-end Innovation." Academy of Management Proceedings 2019, no. 1 (2019): 18945. http://dx.doi.org/10.5465/ambpp.2019.18945abstract.

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6

Ojo, Mike O., Stefano Giordano, Gregorio Procissi, and Ilias N. Seitanidis. "A Review of Low-End, Middle-End, and High-End Iot Devices." IEEE Access 6 (2018): 70528–54. http://dx.doi.org/10.1109/access.2018.2879615.

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7

Amaldoss, Wilfred, and Woochoel Shin. "Competing for Low-End Markets." Marketing Science 30, no. 5 (2011): 776–88. http://dx.doi.org/10.1287/mksc.1110.0664.

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8

Bhaskarabhatla, Ajay, and Chirantan Chatterjee. "Competitive Effects of High-End and Low-End Firm Entry." Academy of Management Proceedings 2013, no. 1 (2013): 14353. http://dx.doi.org/10.5465/ambpp.2013.14353abstract.

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9

SCHMIDT, GLEN M. "LOW-END AND HIGH-END ENCROACHMENT STRATEGIES FOR NEW PRODUCTS." International Journal of Innovation Management 08, no. 02 (2004): 167–91. http://dx.doi.org/10.1142/s1363919604000988.

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Successful new products typically encroach in some fashion on an existing market, impacting prices, sales, and profits for the old product(s). We present a framework in which encroachment takes one of two forms, either high-end or low-end. High-end encroachment is exemplified by Intel's Pentium III, which encroached on the Pentium II by first catering to high-end customers before diffusing to the low end to fully displace the Pentium II. Low-end encroachment is illustrated by disk drives with smaller form factors, which first catered to low-end customers desiring lower-cost, but eventually dif

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10

Abgrall, N., E. Aguayo, F. T. Avignone, et al. "The Majorana Low-noise Low-background Front-end Electronics." Physics Procedia 61 (2015): 654–57. http://dx.doi.org/10.1016/j.phpro.2014.12.066.

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11

Woolever, Laurie. "High-End Food, Low-Wage Labor." Dissent 59, no. 2 (2012): 26–32. http://dx.doi.org/10.1353/dss.2012.0036.

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12

Schmidt, R. R., and B. D. Notohardjono. "High-end server low-temperature cooling." IBM Journal of Research and Development 46, no. 6 (2002): 739–51. http://dx.doi.org/10.1147/rd.466.0739.

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13

Le Cozannet, Gonéri, Rémi Thiéblemont, Jeremy Rohmer, Déborah Idier, Jean-Charles Manceau, and Robin Quique. "Low-End Probabilistic Sea-Level Projections." Water 11, no. 7 (2019): 1507. http://dx.doi.org/10.3390/w11071507.

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In the area of sea-level rise, recent research has focused on assessing either likely or high end future sea levels, but less attention has been given to “low-end” sea-level projections, exploring best-case potential sea-level changes and providing the basis for estimating minimum adaptation needs. Here, we provide global and regional probabilistic sea-level projections using conservative projections of glaciers and ice-sheets melting and a selection of models from the Coupled Model Intercomparison Project phase 5 (CMIP5) delivering moderate thermal expansion. Our low-end sea-level projections

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14

Dispoto, Gary, and Michael Has. "Low-end Color Devices for Proofing?" NIP & Digital Fabrication Conference 14, no. 1 (1998): 639–42. http://dx.doi.org/10.2352/issn.2169-4451.1998.14.1.art00074_2.

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15

Beshley, Mykola, Natalia Kryvinska, Halyna Beshley, Orest Kochan, and Leonard Barolli. "Measuring End-to-End Delay in Low Energy SDN IoT Platform." Computers, Materials & Continua 70, no. 1 (2022): 19–41. http://dx.doi.org/10.32604/cmc.2022.018579.

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16

Wungsoontorn, Wararat. "A Comparison of High-End versus Low-End Speech Output Systems." Technology and Disability 2, no. 2 (1993): 81–87. http://dx.doi.org/10.3233/tad-1993-2214.

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17

Pezaros, Dimitrios P., Mickaël Hoerdt, and David Hutchison. "Low-Overhead End-to-End Performance Measurement for Next Generation Networks." IEEE Transactions on Network and Service Management 8, no. 1 (2011): 1–14. http://dx.doi.org/10.1109/tnsm.2011.032311.090369.

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18

Ishibashi, Ikuo, and Noriaki Matsushima. "The Existence of Low-End Firms May Help High-End Firms." Marketing Science 28, no. 1 (2009): 136–47. http://dx.doi.org/10.1287/mksc.1080.0388.

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19

Lam, Barbara. "Portable end-to-end ground system for low-cost mission support." Acta Astronautica 39, no. 9-12 (1996): 909–15. http://dx.doi.org/10.1016/s0094-5765(97)00075-1.

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20

Poncelet, Jakob, Vincent Renkens, and Hugo Van hamme. "Low resource end-to-end spoken language understanding with capsule networks." Computer Speech & Language 66 (March 2021): 101142. http://dx.doi.org/10.1016/j.csl.2020.101142.

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21

Reinhardt, Ronny, Sebastian Gurtner, Jake Hoskins, and Abbie Griffin. "The High-end Bias – Investigating the Irrational Preference for High-end over Low-end Innovations." Academy of Management Proceedings 2017, no. 1 (2017): 13528. http://dx.doi.org/10.5465/ambpp.2017.195.

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22

TSUNODA, Akira, Goichi KAMIYAMA, Naoto SUZUKI, et al. "Side-to-end vs. Colonic Pouch vs. End-to-end Anastomosis in Low Anterior Resection." Showa University Journal of Medical Sciences 20, no. 2 (2008): 61–68. http://dx.doi.org/10.15369/sujms1989.20.61.

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23

Teertstra, David K., and Petr Černý. "First natural occurrences of end-member pollucite: A product of low-temperature reequilibration." European Journal of Mineralogy 7, no. 5 (1995): 1137–48. http://dx.doi.org/10.1127/ejm/7/5/1137.

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24

Whitehall, Sean E., and Carlos E. Saavedra. "Low‐power low data rate FM‐UWB receiver front end." IET Circuits, Devices & Systems 12, no. 4 (2018): 335–40. http://dx.doi.org/10.1049/iet-cds.2017.0507.

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25

Lee, Ji-Young, and Tae-Yeoul Yun. "Low voltage-low power full-band UWB receiver front-end." Microwave and Optical Technology Letters 55, no. 2 (2012): 278–81. http://dx.doi.org/10.1002/mop.27299.

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26

Obinah, Magnús Pétur Bjarnason, Monica Nielsen, and Lisbet Rosenkrantz Hölmich. "High-end versus Low-end Thermal Imaging for Detection of Arterial Perforators." Plastic and Reconstructive Surgery - Global Open 8, no. 10 (2020): e3175. http://dx.doi.org/10.1097/gox.0000000000003175.

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27

Pereira, M. B., and J. A. dos Santos. "AN END-TO-END FRAMEWORK FOR LOW-RESOLUTION REMOTE SENSING SEMANTIC SEGMENTATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W12-2020 (November 4, 2020): 61–66. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w12-2020-61-2020.

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Abstract. High-resolution images for remote sensing applications are often not affordable or accessible, especially when in need of a wide temporal span of recordings. Given the easy access to low-resolution (LR) images from satellites, many remote sensing works rely on this type of data. The problem is that LR images are not appropriate for semantic segmentation, due to the need for high-quality data for accurate pixel prediction for this task. In this paper, we propose an end-to-end framework that unites a super-resolution and a semantic segmentation module in order to produce accurate thema

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28

Dhahbi, Sami, Nasir Saleem, Sami Bourouis, Mouhebeddine Berrima, and Elena Verdú. "End-to-end neural automatic speech recognition system for low resource languages." Egyptian Informatics Journal 29 (March 2025): 100615. https://doi.org/10.1016/j.eij.2025.100615.

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29

Hardman, Scott, Eric Shiu, and Robert Steinberger-Wilckens. "Comparing high-end and low-end early adopters of battery electric vehicles." Transportation Research Part A: Policy and Practice 88 (June 2016): 40–57. http://dx.doi.org/10.1016/j.tra.2016.03.010.

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30

Huang, Y. S.-C., K. C.-K. Chou, and Chung-Ta King. "Application-Driven End-to-End Traffic Predictions for Low Power NoC Design." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 21, no. 2 (2013): 229–38. http://dx.doi.org/10.1109/tvlsi.2012.2187688.

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31

Mosthaf, Alexander, Claus Schnabel, and Jens Stephani. "Low-wage careers: Are there dead-end firms and dead-end jobs?" Zeitschrift für ArbeitsmarktForschung 43, no. 3 (2010): 231–49. http://dx.doi.org/10.1007/s12651-010-0036-4.

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32

Mazaheri, Mohammad, Yousef S. Kavian, Hamid Sharif, and Habib F. Rashvand. "Low end-to-end delay fuzzy networking protocol for mobile wireless sensing." Wireless Communications and Mobile Computing 16, no. 15 (2016): 2406–18. http://dx.doi.org/10.1002/wcm.2693.

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33

Höglund, Joel, Martin Furuhed, and Shahid Raza. "Lightweight certificate revocation for low-power IoT with end-to-end security." Journal of Information Security and Applications 73 (March 2023): 103424. http://dx.doi.org/10.1016/j.jisa.2023.103424.

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34

Chen, Xiangqi, Chengzhuan Yang, Jiashuaizi Mo, Yunliang Jiang, and Zhonglong Zheng. "End-to-end Point Supervised Object Detection with low-level instance features." Applied Soft Computing 156 (May 2024): 111513. http://dx.doi.org/10.1016/j.asoc.2024.111513.

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35

Mandell, Myron, and Margaret Gjertsen. "IRIS Indigo: High-Performance Low-End Workstation." Computers in Physics 6, no. 3 (1992): 290. http://dx.doi.org/10.1063/1.4823079.

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36

Schultz, Ulrik Pagh, Kim Burgaard, Flemming Gram Christensen, and Jørgen Lindskov Knudsen. "Compiling java for low-end embedded systems." ACM SIGPLAN Notices 38, no. 7 (2003): 42–50. http://dx.doi.org/10.1145/780731.780739.

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37

Kelly, Janet M. "The low end of the gig economy." Journal of Rural Studies 75 (April 2020): 229–36. http://dx.doi.org/10.1016/j.jrurstud.2020.02.004.

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38

Lutz, G., W. Buttler, H. Bergmann, et al. "Low noise monolithic CMOS front end electronics." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 263, no. 1 (1988): 163–73. http://dx.doi.org/10.1016/0168-9002(88)91030-3.

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39

Steyaert, M., and Z. Chang. "Low-voltage BIMOS AM front-end amplifier." IEE Proceedings G Circuits, Devices and Systems 137, no. 1 (1990): 57. http://dx.doi.org/10.1049/ip-g-2.1990.0012.

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40

Droege, Scott, and Nancy Brown Johnson. "Limitations of low-end disruptive innovation strategies." International Journal of Human Resource Management 21, no. 2 (2010): 242–59. http://dx.doi.org/10.1080/09585190903509555.

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41

Youn, Jonghee M. "Implementation of Low Cost Memory Subsystem for Low-end IoT Devices." International Journal of Reliable Information and Assurance 7, no. 2 (2019): 21–26. http://dx.doi.org/10.21742/ijria.2019.7.2.04.

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42

Crepaldi, P. C., R. L. Moreno, and T. C. Pimenta. "Low-voltage, low-power, high linearity front-end thermal sensing element." Electronics Letters 46, no. 18 (2010): 1271. http://dx.doi.org/10.1049/el.2010.1346.

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43

Suhonen, Jukka, Timo Hämäläinen, and Marko Hännikäinen. "Availability and End-to-end Reliability in Low Duty Cycle MultihopWireless Sensor Networks." Sensors 9, no. 3 (2009): 2088–116. http://dx.doi.org/10.3390/s90302088.

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44

Suraweera, Himal A., Ioannis Krikidis, Gan Zheng, Chau Yuen, and Peter J. Smith. "Low-Complexity End-to-End Performance Optimization in MIMO Full-Duplex Relay Systems." IEEE Transactions on Wireless Communications 13, no. 2 (2014): 913–27. http://dx.doi.org/10.1109/twc.2013.122313.130608.

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45

Luo, Ruiming, Shouqian Sun, Xianfu Zhang, Zhichuan Tang, and Weide Wang. "A Low-Cost End-to-End sEMG-Based Gait Sub-Phase Recognition System." IEEE Transactions on Neural Systems and Rehabilitation Engineering 28, no. 1 (2020): 267–76. http://dx.doi.org/10.1109/tnsre.2019.2950096.

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46

Rao, Nageswara S. V., Young-Cheol Bang, Sridhar Radhakrishnan, Qishi Wu, S. Sitharama Iyengar, and Hyunseung Choo. "NetLets: measurement-based routing daemons for low end-to-end delays over networks." Computer Communications 26, no. 8 (2003): 834–44. http://dx.doi.org/10.1016/s0140-3664(02)00217-7.

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47

Liu, Liqiang, and Jianzhong Cao. "End-to-end learning interpolation for object tracking in low frame-rate video." IET Image Processing 14, no. 6 (2020): 1066–72. http://dx.doi.org/10.1049/iet-ipr.2019.0944.

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48

Shugan, Steven M., Jihwan Moon, Qiaoni Shi, and Nanda S. Kumar. "Product Line Bundling: Why Airlines Bundle High-End While Hotels Bundle Low-End." Marketing Science 36, no. 1 (2017): 124–39. http://dx.doi.org/10.1287/mksc.2016.1004.

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49

Ankita and S. Shahnawazuddin. "Developing children's ASR system under low-resource conditions using end-to-end architecture." Digital Signal Processing 146 (March 2024): 104385. http://dx.doi.org/10.1016/j.dsp.2024.104385.

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50

Orken, Mamyrbayev, Alimhan Keylan, Oralbekova Dina, Bekarystankyzy Akbayan, and Zhumazhanov Bagashar. "Identifying the influence of transfer learning method in developing an end-to-end automatic speech recognition system with a low data level." Eastern-European Journal of Enterprise Technologies 1, no. 9 (115) (2022): 84–92. https://doi.org/10.15587/1729-4061.2022.252801.

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Ensuring the best quality and performance of modern speech technologies, today, is possible based on the widespread use of machine learning methods. The idea of this project is to study and implement an end-to-end system of automatic speech recognition using machine learning methods, as well as to develop new mathematical models and algorithms for solving the problem of automatic speech recognition for agglutinative (Turkic) languages. Many research papers have shown that deep learning methods make it easier to train automatic speech recognition systems that use an end-to-end approach. This me

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