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Journal articles on the topic 'Unrolling'

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1

Hu, Yonghua, Aobo Cheng, Zhuoyou Tang, Peng Liu, and Wei Liang. "LUAEMA: A Loop Unrolling Approach Extending Memory Accessing for Vector Very-Long-Instruction-Word Digital Signal Processor with Multiple Register Files." Electronics 13, no. 8 (2024): 1425. http://dx.doi.org/10.3390/electronics13081425.

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Loop unrolling can provide more instruction-level parallelism opportunities for code and enables a greater range of instruction pipeline scheduling. In high-performance very-long-instruction-word (VLIW) digital signal processors (DSPs), there are special registers to address. To further improve the instruction-level parallelism of code for such DSPs by making full use of these registers, in this paper, we propose a more effective loop unrolling approach through extending memory accessing (LUAEMA). In this approach, the final unrolling factor is computed by a model in which every register kind
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2

Barbour, J. B. "Unrolling time." Contemporary Physics 30, no. 6 (1989): 467–68. http://dx.doi.org/10.1080/00107518908221994.

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3

Shao, Zhong, John H. Reppy, and Andrew W. Appel. "Unrolling lists." ACM SIGPLAN Lisp Pointers VII, no. 3 (1994): 185–95. http://dx.doi.org/10.1145/182590.182453.

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4

MOSHENSKA, GABRIEL. "Unrolling Egyptian mummies in nineteenth-century Britain." British Journal for the History of Science 47, no. 3 (2013): 451–77. http://dx.doi.org/10.1017/s0007087413000423.

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AbstractThe unrolling of Egyptian mummies was a popular spectacle in mid-nineteenth-century Britain. In hospitals, theatres, homes and learned institutions mummified bodies, brought from Egypt as souvenirs or curiosities, were opened and examined in front of rapt audiences. The scientific study of mummies emerged within the contexts of early nineteenth-century Egyptomania, particularly following the decipherment of hieroglyphics in 1822, and the changing attitudes towards medicine, anatomy and the corpse that led to the 1832 Anatomy Act. The best-known mummy unroller of this period was the sur
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5

LE, HUILING. "UNROLLING SHAPE CURVES." Journal of the London Mathematical Society 68, no. 02 (2003): 511–26. http://dx.doi.org/10.1112/s0024610703004393.

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6

Homrighausen, Jonathan. "Unrolling the Scroll, Revealing God: Esther Scrolls as Symbols and Ritual Objects." Hebrew Studies 64, no. 1 (2023): 57–81. http://dx.doi.org/10.1353/hbr.2023.a912650.

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Abstract: Like the Torah scroll, the Esther scroll in Jewish life serves as not only a technology of text, but a symbolically charged ritual object for the liturgical theater of Purim ritual. This paper argues that in late antique Purim liturgy, the symbolic act of unrolling the scroll for the megillah reading hints at God's presence in the Book of Esther itself. Three clusters of evidence support this thesis. First, rabbinic texts describing liturgy assign symbolic value to the act of unrolling and rolling up scrolls. Second, the rabbis' choice to call Esther a 'megillah' allows them to midra
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7

Tridgell, Stephen, Martin Kumm, Martin Hardieck, et al. "Unrolling Ternary Neural Networks." ACM Transactions on Reconfigurable Technology and Systems 12, no. 4 (2019): 1–23. http://dx.doi.org/10.1145/3359983.

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8

Lee, Songil, Gyouhyung Kyung, Minjoong Kim, et al. "Shaping Rollable Display Devices: Effects of Gripping Condition, Device Thickness, and Hand Length on Bimanual Perceived Grip Comfort." Human Factors: The Journal of the Human Factors and Ergonomics Society 62, no. 5 (2019): 770–86. http://dx.doi.org/10.1177/0018720819855225.

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Objective To examine the effects of the gripping condition, device thickness, and hand length on bimanual perceived grip comfort associated with unrolling hand-held rollable screens. Background Rollable displays can be rolled and unrolled to change screen size. Although diverse rollable display device concepts have been suggested, little is known regarding ergonomic forms for comfortable screen unrolling. Method Thirty young individuals (10 in each hand-length group) evaluated three rollable display device prototypes in three gripping conditions (no restriction on using side bezels, minimal us
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9

Ananth, Raghavendra, Panduranga Rao Malode Vishwanatha Rao, and Narayana Swamy Ramaiah. "An efficient Grain-80 stream cipher with unrolling features to enhance the throughput on hardware platform." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 1 (2024): 218. http://dx.doi.org/10.11591/ijeecs.v33.i1.pp218-226.

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<span>The stream cipher is a fundamental component of symmetric cryptography and offers unique implementation speed and scalability advantages. Additionally, the complexity of the cipher algorithm deployment environment forces new, appropriate designs and challenges on the already-existing cipher algorithms. To increase throughput, an efficient Grain-80 stream cipher with unrolling features is designed in this manuscript. The Grain-80 cipher uses an 80-bit key, and a 64-bit initialization vector (IV) and contains two feedback shift registers (linear and non-linear) and an output function
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10

Ananth, Raghavendra, Panduranga Rao Malode Vishwanatha Rao, and Narayana Swamy Ramaiah. "An efficient Grain-80 stream cipher with unrolling features to enhance the throughput on hardware platform." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 1 (2024): 218–26. https://doi.org/10.11591/ijeecs.v33.i1.pp218-226.

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The stream cipher is a fundamental component of symmetric cryptography and offers unique implementation speed and scalability advantages. Additionally, the complexity of the cipher algorithm deployment environment forces new, appropriate designs and challenges on the already-existing cipher algorithms. To increase throughput, an efficient Grain-80 stream cipher with unrolling features is designed in this manuscript. The Grain-80 cipher uses an 80-bit key, and a 64-bit initialization vector (IV) and contains two feedback shift registers (linear and non-linear) and an output function. The regist
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11

Lohrengel, Stephan. "Unrolling the Story of Esther." Journal of Paper Conservation 17, no. 2 (2016): 70–72. http://dx.doi.org/10.1080/18680860.2016.1251163.

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12

Butler, Steve, Ron Graham, and Linyuan Lu. "Unrolling Residues to Avoid Progressions." Mathematics Magazine 87, no. 2 (2014): 83–94. http://dx.doi.org/10.4169/math.mag.87.2.83.

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13

Lam, Yuet Ming, José Gabriel F. Coutinho, Chun Hok Ho, Philip Heng Wai Leong, and Wayne Luk. "Multiloop Parallelisation Using Unrolling and Fission." International Journal of Reconfigurable Computing 2010 (2010): 1–10. http://dx.doi.org/10.1155/2010/475620.

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A technique for parallelising multiple loops in a heterogeneous computing system is presented. Loops are first unrolled and then broken up into multiple tasks which are mapped to reconfigurable hardware. A performance-driven optimisation is applied to find the best unrolling factor for each loop under hardware size constraints. The approach is demonstrated using three applications: speech recognition, image processing, and the N-Body problem. Experimental results show that a maximum speedup of 34 is achieved on a 274 MHz FPGA for the N-Body over a 2.6 GHz microprocessor, which is 4.1 times hig
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14

Alharbi, Fares, Muhammad Khurram Hameed, Anusha Chowdhury, Ayesha Khalid, Anupam Chattopadhyay, and Ibrahim Tariq Javed. "Analysis of Area-Efficiency vs. Unrolling for eSTREAM Hardware Portfolio Stream Ciphers." Electronics 9, no. 11 (2020): 1935. http://dx.doi.org/10.3390/electronics9111935.

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The demand for low resource devices has increased rapidly due to the advancements in Internet-of-things applications. These devices operate in environments that have limited resources. To ensure security, stream ciphers are implemented on hardware due to their speed and simplicity. Amongst different stream ciphers, the eSTREAM ciphers stand due to their frugal implementations. This work probes the effect of unrolling on the efficiency of eSTREAM ciphers, including Trivium, Grain (Grain 80 and Grain 128) and MICKEY (MICKEY 2.0 and MICKEY-128 2.0). It addresses the question of optimal unrolling
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15

Rasovsky, Marina, David Bigelajzen, and Dodo Shenhav. "Cleaning and Unrolling the Silver Plaques." Tel Aviv 19, no. 2 (1992): 192–94. http://dx.doi.org/10.1179/tav.1992.1992.2.192.

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16

Reznik, Ye I., S. G. Kartashov, and V. I. Yeremchenko. "Selection of process lines for round-bale feed preparation and distribution." Traktory i sel hozmashiny 82, no. 6 (2015): 42–44. http://dx.doi.org/10.17816/0321-4443-65440.

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17

Song, Heping, Qifeng Ding, Jingyao Gong, Hongying Meng, and Yuping Lai. "SALSA-Net: Explainable Deep Unrolling Networks for Compressed Sensing." Sensors 23, no. 11 (2023): 5142. http://dx.doi.org/10.3390/s23115142.

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Deep unrolling networks (DUNs) have emerged as a promising approach for solving compressed sensing (CS) problems due to their superior explainability, speed, and performance compared to classical deep network models. However, the CS performance in terms of efficiency and accuracy remains a principal challenge for approaching further improvements. In this paper, we propose a novel deep unrolling model, SALSA-Net, to solve the image CS problem. The network architecture of SALSA-Net is inspired by unrolling and truncating the split augmented Lagrangian shrinkage algorithm (SALSA) which is used to
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18

Zhang, Jian, Bin Chen, Ruiqin Xiong, and Yongbing Zhang. "Physics-Inspired Compressive Sensing: Beyond deep unrolling." IEEE Signal Processing Magazine 40, no. 1 (2023): 58–72. http://dx.doi.org/10.1109/msp.2022.3208394.

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19

Yang, Jianyi, and Shaolei Ren. "Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 9 (2023): 10771–79. http://dx.doi.org/10.1609/aaai.v37i9.26278.

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Online optimization with multiple budget constraints is challenging since the online decisions over a short time horizon are coupled together by strict inventory constraints. The existing manually-designed algorithms cannot achieve satisfactory average performance for this setting because they often need a large number of time steps for convergence and/or may violate the inventory constraints. In this paper, we propose a new machine learning (ML) assisted unrolling approach, called LAAU (Learning-Assisted Algorithm Unrolling), which unrolls the agent’s online decision pipeline and leverages an
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20

Kok, Matt D. R., James B. Robinson, Julia S. Weaving, et al. "Virtual unrolling of spirally-wound lithium-ion cells for correlative degradation studies and predictive fault detection." Sustainable Energy & Fuels 3, no. 11 (2019): 2972–76. http://dx.doi.org/10.1039/c9se00500e.

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This method for virtually unrolling the jelly roll of a lithium ion cell using X-ray CT highlights the predictability of macro deformations formed while cycling. The failure is shown to propagate from nucleation points present since production.
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21

ZHENG Jianwei, 郑建炜, 夏弘毅 XIA Hongyi та 徐宏辉 XU Honghui. "空间-光谱联合解卷的全色锐化网络". ACTA PHOTONICA SINICA 54, № 1 (2025): 0110003. https://doi.org/10.3788/gzxb20255401.0110003.

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22

Sheng, Li, and Z. B. Dai. "Research on the Maritime Communication Cryptographic Chip’s Compiler Optimization." Polish Maritime Research 24, s2 (2017): 60–65. http://dx.doi.org/10.1515/pomr-2017-0065.

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Abstract In the process of ocean development, the technology for maritime communication system is a hot research field, of which information security is vital for the normal operation of the whole system, and that is also one of the difficulties in the research of maritime communication system. In this paper, a kind of maritime communication cryptographic SOC(system on chip) is introduced, and its compiler framework is put forward through analysis of working mode and problems faced by compiler front end. Then, a loop unrolling factor calculating algorithm based on queue theory, named UFBOQ (un
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23

Liu, Minghao, Wenhan Yang, Jinyi Luo, and Jiaying Liu. "UP-Restorer: When Unrolling Meets Prompts for Unified Image Restoration." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 5 (2025): 5513–22. https://doi.org/10.1609/aaai.v39i5.32587.

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All-in-one restoration needs to implicitly distinguish between different degradation conditions and apply specific prior constraints accordingly. To fulfill this goal, our work makes the first effort to create an all-in-one restoration via unrolling from the typical maximum a-posterior optimization function. This unrolling framework naturally leads to the construction of progressively solving models, which are equivalent to a diffusion enhancer taking as input dynamically generated prompts. Under a score-based diffusion model, the prompts are integrated for propogating and updating several con
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24

Liu, Hui, and Zhanjie Guo. "A loop unrolling method based on machine learning." Vibroengineering PROCEDIA 18 (May 22, 2018): 215–21. http://dx.doi.org/10.21595/vp.2018.19928.

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25

Wang, Tianyi, Kejia Wang, Kaigang Zou, et al. "Virtual unrolling technology based on terahertz computed tomography." Optics and Lasers in Engineering 151 (April 2022): 106924. http://dx.doi.org/10.1016/j.optlaseng.2021.106924.

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26

Dragomir, Ozana Silvia, Todor Stefanov, and Koen Bertels. "Optimal Loop Unrolling and Shifting for Reconfigurable Architectures." ACM Transactions on Reconfigurable Technology and Systems 2, no. 4 (2009): 1–24. http://dx.doi.org/10.1145/1575779.1575785.

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27

EL-REWINI, HESHAM, and HESHAM H. ALI. "ON OPTIMAL LOOP UNROLLING IN TWO-PROCESSOR SCHEDULING." Parallel Algorithms and Applications 7, no. 1-2 (1995): 107–19. http://dx.doi.org/10.1080/10637199508915525.

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28

Liu, Chang, Paul L. Rosin, Yu-Kun Lai, and Weiduo Hu. "Robust Virtual Unrolling of Historical Parchment XMT Images." IEEE Transactions on Image Processing 27, no. 4 (2018): 1914–26. http://dx.doi.org/10.1109/tip.2017.2783626.

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29

Ibáñez, Christian M., and Boris Sirenko. "Unrolling the Systematics of a Southeastern Pacific Chiton." Taxonomy 4, no. 4 (2024): 850–61. https://doi.org/10.3390/taxonomy4040045.

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The species Chiton echinatus was first described by Barmes in 1824. Subsequently, it has been allocated to several widely distributed genera (e.g., Acanthopleura, Enoplochiton, Mesotomura) within the subfamily Acanthopleurinae. In order to resolve this species’ taxonomic uncertainty, specimens were collected throughout its entire distribution (i.e. from Peru and Chile) and subjected to a series of morphological and phylogenetic analyses. Scanning electron microscopy was used to improve this species’ morphological description, whereas publicly available sequences were used to infer its phylogen
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Isidro, Julio, Ron Knox, Asheesh Singh, et al. "Brassinosteroid leaf unrolling QTL mapping in durum wheat." Planta 236, no. 1 (2012): 273–81. http://dx.doi.org/10.1007/s00425-012-1603-4.

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31

Asahina, Masashi, Yuji Tamaki, Tomoaki Sakamoto, Kyomi Shibata, Takahito Nomura, and Takao Yokota. "Blue light-promoted rice leaf bending and unrolling are due to up-regulated brassinosteroid biosynthesis genes accompanied by accumulation of castasterone." Phytochemistry 104 (August 31, 2014): 21–29. https://doi.org/10.1016/j.phytochem.2014.04.017.

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Asahina, Masashi, Tamaki, Yuji, Sakamoto, Tomoaki, Shibata, Kyomi, Nomura, Takahito, Yokota, Takao (2014): Blue light-promoted rice leaf bending and unrolling are due to up-regulated brassinosteroid biosynthesis genes accompanied by accumulation of castasterone. Phytochemistry 104: 21-29, DOI: 10.1016/j.phytochem.2014.04.017, URL: http://dx.doi.org/10.1016/j.phytochem.2014.04.017
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Devendran, Malathi, Indumathi Rajendran, Vijayakumar Ponnusamy, and Diwakar R. Marur. "Optimization of the Convolution Operation to Accelerate Deep Neural Networks in FPGA." Revue d'Intelligence Artificielle 35, no. 6 (2021): 511–17. http://dx.doi.org/10.18280/ria.350610.

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In recent years, machine learning algorithms related to images have been widely utilized by Convolution Neural Networks (CNN), and it has a high accuracy for recognition of an image. As CNN contains large number of computations, hardware accelerator like Field Programmable Gate Array is employed. Quite 90 % of operations during a CNN involves convolution. The objective of this work is to scale back the computation time to increase the peak, width and the pixel intensity levels in the input image. The execution time of a image processing program is mostly spent on loops. Loop optimization is a
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Kim, Sihyun, and Rhan Ha. "Improving the Performance of Intermittent Computing Using Loop Unrolling." Journal of Korean Institute of Communications and Information Sciences 47, no. 4 (2022): 663–70. http://dx.doi.org/10.7840/kics.2022.47.4.663.

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CHENG, Gang, Zhi-hui XIONG, Li-dong CHEN, Bin WANG, and Mao-jun ZHANG. "Real-time unrolling catadioptric omni-directional images on DSP." Journal of Computer Applications 28, no. 9 (2009): 2285–87. http://dx.doi.org/10.3724/sp.j.1087.2008.02285.

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35

Liu, Risheng, Shichao Cheng, Long Ma, Xin Fan, and Zhongxuan Luo. "Deep Proximal Unrolling: Algorithmic Framework, Convergence Analysis and Applications." IEEE Transactions on Image Processing 28, no. 10 (2019): 5013–26. http://dx.doi.org/10.1109/tip.2019.2913536.

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36

Masqué, J. Muñoz, and L. M. Pozo Coronado. "Unrolling and rolling of curves in non-convex surfaces." Inverse Problems 15, no. 4 (1999): 869–80. http://dx.doi.org/10.1088/0266-5611/15/4/303.

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Wocjan, T., K. Klenin, and J. Langowski. "Brownian Dynamics Simulation of DNA Unrolling from the Nucleosome†." Journal of Physical Chemistry B 113, no. 9 (2009): 2639–46. http://dx.doi.org/10.1021/jp806137e.

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38

Gore, David Charles. "Guest Editor's Coda: Unrolling the Scrolls: Friendship as Scholarship." Argumentation and Advocacy 50, no. 4 (2014): 290–95. http://dx.doi.org/10.1080/00028533.2014.11821833.

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39

Vanpaemel, Geert H. W. "Unrolling time. Christiaan huygens and the mathematization of nature." History of European Ideas 13, no. 3 (1991): 302–3. http://dx.doi.org/10.1016/0191-6599(91)90207-f.

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40

Sánchez, Fermı́n, Jordi Cortadella, and Rosa M. Badia. "Optimal exploration of the unrolling degree for software pipelining." Journal of Systems Architecture 45, no. 6-7 (1999): 505–17. http://dx.doi.org/10.1016/s1383-7621(98)00020-4.

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41

Pogrebnyak, V. G., Yu F. Ivanyuta, and N. V. Naumchuk. "Unrolling of macromolecules under the conditions of wall turbulence." Journal of Engineering Physics 61, no. 6 (1991): 1475–77. http://dx.doi.org/10.1007/bf00871998.

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42

Liu, Risheng, Zhiying Jiang, Xin Fan, and Zhongxuan Luo. "Knowledge-Driven Deep Unrolling for Robust Image Layer Separation." IEEE Transactions on Neural Networks and Learning Systems 31, no. 5 (2020): 1653–66. http://dx.doi.org/10.1109/tnnls.2019.2921597.

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43

Chen, Yingxia, Yuqi Li, Tingting Wang, Yan Chen, and Faming Fang. "DPDU-Net: Double Prior Deep Unrolling Network for Pansharpening." Remote Sensing 16, no. 12 (2024): 2141. http://dx.doi.org/10.3390/rs16122141.

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The objective of the pansharpening task is to integrate multispectral (MS) images with low spatial resolution (LR) and to integrate panchromatic (PAN) images with high spatial resolution (HR) to generate HRMS images. Recently, deep learning-based pansharpening methods have been widely studied. However, traditional deep learning methods lack transparency while deep unrolling methods have limited performance when using one implicit prior for HRMS images. To address this issue, we incorporate one implicit prior with a semi-implicit prior and propose a double prior deep unrolling network (DPDU-Net
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Ananth, Raghavendra, Panduranga Rao Malode V., and Narayana Swamy Ramaiah. "Hardware-based efficient Mickey-128 stream cipher with unrolling factors for throughput enhancement." Bulletin of Electrical Engineering and Informatics 14, no. 1 (2025): 388–97. http://dx.doi.org/10.11591/eei.v14i1.8270.

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The emerging trend known as "ubiquitous computation" aims to incorporate intelligent gadgets into commonplace items. The lightweight cryptographic techniques are being researched and developed to minimize the gadgets' resources and a perpetual desire to reduce production expenses. A key element of symmetric cryptography, the stream cipher has unique benefits in terms of scalability as well as performance. The Mickey-128 stream cipher is designed and implemented in this manuscript. Additionally, unrolling features are incorporated with Mickey-128 cipher to enhance the throughput. The Mickey-128
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45

Yu, Youhao, and Richard M. Dansereau. "MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multiscale Dilated Convolution for Image Compressive Sensing (CS)." IET Signal Processing 2024 (January 18, 2024): 1–12. http://dx.doi.org/10.1049/2024/6666549.

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Compressive sensing (CS) is a technique that enables the recovery of sparse signals using fewer measurements than traditional sampling methods. To address the computational challenges of CS reconstruction, our objective is to develop an interpretable and concise neural network model for reconstructing natural images using CS. We achieve this by mapping one step of the iterative shrinkage thresholding algorithm (ISTA) to a deep network block, representing one iteration of ISTA. To enhance learning ability and incorporate structural diversity, we integrate aggregated residual transformations (Re
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Zhang, Linrui, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, and Dacheng Tao. "Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 12 (2023): 15313–21. http://dx.doi.org/10.1609/aaai.v37i12.26786.

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Safety comes first in many real-world applications involving autonomous agents. Despite a large number of reinforcement learning (RL) methods focusing on safety-critical tasks, there is still a lack of high-quality evaluation of those algorithms that adheres to safety constraints at each decision step under complex and unknown dynamics. In this paper, we revisit prior work in this scope from the perspective of state-wise safe RL and categorize them as projection-based, recovery-based, and optimization-based approaches, respectively. Furthermore, we propose Unrolling Safety Layer (USL), a joint
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DONG, Ya-Zhuo, Ming-Zheng LIU, Fei XIA, and Yong DOU. "Loop Unrolling and Data-Path Generation of Sliding-Window Operation." Chinese Journal of Computers 31, no. 6 (2009): 989–97. http://dx.doi.org/10.3724/sp.j.1016.2008.00989.

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48

Leverage, Paula. "Unrolling Memories : Audience Inscription in the Renaut de Montauban Prologue." Romania 118, no. 469 (2000): 206–18. http://dx.doi.org/10.3406/roma.2000.1526.

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49

Chen, Siheng, Yonina C. Eldar, and Lingxiao Zhao. "Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising." IEEE Transactions on Signal Processing 69 (2021): 3699–713. http://dx.doi.org/10.1109/tsp.2021.3087905.

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50

Steiner, Thomas. "Unrolling the hydrogen bond properties of C–H···O interactions." Chemical Communications, no. 8 (1997): 727–34. http://dx.doi.org/10.1039/a603049a.

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