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Journal articles on the topic 'Priority encoder'

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1

Sam, D. S. Shylu, P. Sam Paul, Jennifer ,. Elizah, et al. "A Novel low power 2-D to 3-D Array Priority Encoder using Split-Logic Technique for Data Path Applications." WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 17 (January 7, 2022): 42–49. http://dx.doi.org/10.37394/23203.2022.17.5.

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In this work, an ascendable low power 64-bit priority encoder is designed using a two-directional array to three-directional array conversion, and Split-logic technique and 6-bit is obtained as the output. By using this method, the high performance priority encoder can be achieved. In the conventional priority encoder, a single bit is set as an input, but for a priority encoder with 3-Darray, every input are specified in the matrix form. The I-bit input file is split hooked on M × N bits, similar to 2-D Matrix. In priority encoder with 3-Darray, three directional output comes out, unlike tradi
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Maeda, Toshiyuki, Yoichiro Sato, Tokumi Yokohira, and Takuji Okamoto. "Decentralized priority encoder and its applications." Systems and Computers in Japan 22, no. 10 (1991): 9–17. http://dx.doi.org/10.1002/scj.4690221002.

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Shashidhar, A., and B. Ramesh K. "Design of Power Efficient and High Temperature Operational Priority Encoder." Journal of Advancement in Communication System 7, no. 3 (2024): 9–16. https://doi.org/10.5281/zenodo.12718734.

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<em>This research paper proposes a novel approach to designing a power-efficient and high-temperature operational priority encoder using Silicon Carbide (SiC) JFETs (Junction Field-Effect Transistors) and Carbon Nanotube Field-Effect Transistors (CNFETs).[1] The proposed priority encoder leverages the superior thermal stability and low power consumption characteristics of SiC JFETs and CNFETs to achieve reliable performance in extreme environments. </em><em>The proposed priority encoder architecture is meticulously designed to harness the inherent characteristics of SiC JNFET and CNTFETs, expl
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Nyathi, J., and J. G. Delgado-Frias. "A high-performance encoder with priority lookahead." IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 47, no. 9 (2000): 1390–93. http://dx.doi.org/10.1109/81.883335.

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Wang, Fang, Xinjian Zhang, Xin Chen, Shuying Lyu, Congzhou Chen, and Xiaolong Shi. "Priority Encoder Based on DNA Strand Displacement." Chinese Journal of Electronics 33, no. 6 (2024): 1538–44. http://dx.doi.org/10.23919/cje.2022.00.042.

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6

Kalpana, K., K. Sivakami, N. Revathi, S. M. Deepa, and V. V. Teresa. "Efficient Nano-Scale Design of TIEO Based Reversible Logic Toffoli Gate Priority Encoder in Quantum-Dot Cellular Automata." E3S Web of Conferences 472 (2024): 03014. http://dx.doi.org/10.1051/e3sconf/202447203014.

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The goal of this research is to create a QCA-based reversible priority encoder. It is one of the most crucial parts of the encoding and decoding process. This novel nanotechnology, known as quantum-dot cellular automata (QCA), shows promise as a foundation for the development of reversible circuits. This paper proposes a simple, reversible, 4-2 line priority encoder design for the QCA platform. Using the simple and cheap Toffoli gate architecture, a reversible encoder circuit may be built. To analyze the proposed designs’ structural soundness, the simulation program QCA Designer is used.
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7

Vijayalakshmi, S., S. Vishnupriya, B. Sarala, et al. "Improved DASH Architecture for Quality Cloud Video Streaming in Automated Systems." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 2s (2023): 32–42. http://dx.doi.org/10.17762/ijritcc.v11i2s.6026.

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In modern times, multimedia streaming systems that transmit video across a channel primarily use HTTP services as a delivery component. Encoding the video for all quality levels is avoided thanks to fuzzy based encoders' ability to react to network changes. Additionally, the system frequently uses packet priority assignment utilising a linear error model to enhance the dynamic nature of DASH without buffering. Based on a fuzzy encoder, the decision of video quality is made in consideration of the bandwidth available. This is a component of the MPEG DASH encoder. The Fuzzy DASH system seeks to
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8

Huang, Chun, Xinya Zhang, Panlong Li, Junwei Sun, Xuncai Zhang, and Yanfeng Wang. "Design of Sixteen-Input Priority Encoder with DNA Nano Switches." Journal of Nanoelectronics and Optoelectronics 17, no. 10 (2022): 1354–65. http://dx.doi.org/10.1166/jno.2022.3281.

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With the application of DNA computing in more and more fields, the tasks are becoming more and more complex, and the scale of DNA circuits is gradually increasing. However, the current investigation of largescale circuits of DNA molecules is still a challenge. So it is crucial to optimize the performance of large-scale DNA circuits. In this paper, a large-scale digital logic circuit 16-Input-5-Output Priority Encoder is realized by using the DNA nano switches for the first time. The simulation of the 16-Input-5-Output Priority Encoder circuit shows that this method solves the problems of NOT g
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9

Nguyen, Xuan-Thuan, Hong-Thu Nguyen, and Cong-Kha Pham. "An FPGA approach for high-performance multi-match priority encoder." IEICE Electronics Express 13, no. 13 (2016): 20160447. http://dx.doi.org/10.1587/elex.13.20160447.

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10

Balobas, Dimitrios, and Nikos Konofaos. "Ultra-low-power and compact 8-bit CMOS priority encoder." International Journal of Electronics Letters 5, no. 3 (2016): 272–78. http://dx.doi.org/10.1080/21681724.2016.1196504.

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11

Ojha, Amritesh, and Rajesh Mehra. "Low Power Layout Design of Priority Encoder Using 65nm Technology." International Journal of Engineering Trends and Technology 23, no. 9 (2015): 450–53. http://dx.doi.org/10.14445/22315381/ijett-v23p285.

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12

Abdel-Hafeez, S., and S. Harb. "A VLSI High-Performance Priority Encoder Using Standard CMOS Library." IEEE Transactions on Circuits and Systems II: Express Briefs 53, no. 8 (2006): 597–601. http://dx.doi.org/10.1109/tcsii.2006.876412.

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Salimzadeh, Fereshteh, Elahe Safarpoor, and Saeed Rasouli Heikalabad. "Designing and Implementing a Fault-Tolerant Priority Encoder in QCA Nanotechnology." ECS Journal of Solid State Science and Technology 10, no. 6 (2021): 063004. http://dx.doi.org/10.1149/2162-8777/ac0118.

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14

Das, Jadav Chandra, and Debashis De. "Reversible priority encoder design and implementation using quantum-dot cellular automata." IET Quantum Communication 1, no. 2 (2020): 72–78. http://dx.doi.org/10.1049/iet-qtc.2020.0009.

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15

kour, Gurpreet, and Rajesh Mehra. "Power and Area Efficient Design of Priority Encoder using 90 mm Technology." International Journal of Engineering Trends and Technology 36, no. 5 (2016): 261–65. http://dx.doi.org/10.14445/22315381/ijett-v36p248.

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16

Nguyen, Xuan-Thuan, Hong-Thu Nguyen, and Cong-Kha Pham. "A Scalable High-Performance Priority Encoder Using 1D-Array to 2D-Array Conversion." IEEE Transactions on Circuits and Systems II: Express Briefs 64, no. 9 (2017): 1102–6. http://dx.doi.org/10.1109/tcsii.2017.2672865.

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17

Chandra, K. Anil, and N. S. Murty. "Low power high performance priority encoder using 2D-array to 3D-array conversion." Procedia Computer Science 171 (2020): 1037–45. http://dx.doi.org/10.1016/j.procs.2020.04.111.

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18

Dr, A. V. S. Swathi, Bhargavi K, Shravan Kumar J, Venkatesh L, and Mohan Sai A. "Design of Low Power Modified Priority Encoder using 32-bit integer Division Algorithm." International Journal for Modern Trends in Science and Technology 11, no. 03 (2025): 10–14. https://doi.org/10.5281/zenodo.14995820.

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In this project, an algorithm for 32-bit integer division is proposed. The algorithm calculates the integer division of positive and negative dividends and divisors represented in sign and magnitude. It calculates the magnitudes and signs of the quotient and remainder separately based on the magnitudes and signs of the divided and divisor. In this paper we also propose a mux based subtractor which will decrease the area by establishing a trade-off between the area &amp; delay. In the algorithm, the magnitude of the remainder is initially set to be the dividend and is iteratively reduced until
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19

Xiao, Huifu, Dezhao Li, Zilong Liu, et al. "Experimental realization of a CMOS-compatible optical directed priority encoder using cascaded micro-ring resonators." Nanophotonics 7, no. 4 (2018): 727–33. http://dx.doi.org/10.1515/nanoph-2018-0005.

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AbstractIn this paper, we propose and experimentally demonstrate an integrated optical device that can implement the logical function of priority encoding from a 4-bit electrical signal to a 2-bit optical signal. For the proof of concept, the thermo-optic modulation scheme is adopted to tune each micro-ring resonator (MRR). A monochromatic light with the working wavelength is coupled into the input port of the device through a lensed fiber, and the four input electrical logic signals regarded as pending encode signals are applied to the micro-heaters above four MRRs to control the working stat
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20

Haddadan, F., and M. Soroosh. "Design and simulation of a subwavelength 4-to-2 graphene-based plasmonic priority encoder." Optics & Laser Technology 157 (January 2023): 108680. http://dx.doi.org/10.1016/j.optlastec.2022.108680.

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21

Jeon, J. C. "7-Input Majority Gate Based Priority Encoder Using Multi-Layer Quantum-Dot Cellular Automata." Advanced Science Letters 23, no. 10 (2017): 10118–22. http://dx.doi.org/10.1166/asl.2017.10400.

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22

Arora, Akhil, and Rajesh Mehra. "A Power and Area Efficient Design of an 8-Bit Priority Encoder using 45nm Technology." International Journal of Engineering Trends and Technology 36, no. 4 (2016): 184–87. http://dx.doi.org/10.14445/22315381/ijett-v36p234.

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23

Zhang, Y., L. Lei, J. Dong, and X. Zhang. "40 Gbit/s four-input photonic digital priority encoder employing three parallel semiconductor optical amplifiers." Electronics Letters 47, no. 15 (2011): 872. http://dx.doi.org/10.1049/el.2011.1234.

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24

G., Srinivas Reddy, Khalandar Basha D., and Raju Rollakanti. "Analysis of NOR Based Content Addressable Memory Cell Array." Research and Applications: Emerging Technologies 4, no. 3 (2022): 1–10. https://doi.org/10.5281/zenodo.7472414.

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<em>In VLSI the design metrics are area, power, delay, cost and speed which are very important for any design. These are the key parameters to control and manage. These parameters may or may not depend on each other. For example when delay is reduced the speed of the design increases and vice-versa but decrease in delay may not vary the power. So the power-delay product (PDP) is considered for any design. The project proposes method for reducing the delay which could give a good PDP factor. The project presents the Analysis of NOR based content addressable memory (CAM) Cells. As reducing the d
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25

Su, Huayou, Mei Wen, Nan Wu, Ju Ren, and Chunyuan Zhang. "Efficient Parallel Video Processing Techniques on GPU: From Framework to Implementation." Scientific World Journal 2014 (2014): 1–19. http://dx.doi.org/10.1155/2014/716020.

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Through reorganizing the execution order and optimizing the data structure, we proposed an efficient parallel framework for H.264/AVC encoder based on massively parallel architecture. We implemented the proposed framework by CUDA on NVIDIA’s GPU. Not only the compute intensive components of the H.264 encoder are parallelized but also the control intensive components are realized effectively, such as CAVLC and deblocking filter. In addition, we proposed serial optimization methods, including the multiresolution multiwindow for motion estimation, multilevel parallel strategy to enhance the paral
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26

Das, Jadav Chandra, and Debashis De. "Novel design of reversible priority encoder in quantum dot cellular automata based on Toffoli gate and Feynman gate." Journal of Supercomputing 75, no. 10 (2019): 6882–903. http://dx.doi.org/10.1007/s11227-019-02904-8.

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27

Lei, Lei, JianJi Dong, Yin Zhang, Yu Yu, and XinLiang Zhang. "40-Gb/s all-optical digital 4-bit priority encoder employing cross-gain modulation in semiconductor optical amplifiers." Chinese Science Bulletin 57, no. 10 (2012): 1204–8. http://dx.doi.org/10.1007/s11434-011-4957-2.

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28

Rea, Richard. "Configurable Digital Logic for Extreme Environments." Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2018, HiTEC (2018): 000098–102. http://dx.doi.org/10.4071/2380-4491-2018-hiten-000098.

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Abstract This paper presents a multiple-configuration IC that implements a number of sequential or combinatorial logic functions for extreme environment electronics. Operating temperature is −55°C to +300°C. Combinatorial functions include AND, OR, XOR, muxes, bi-directional transceiver, priority-encoder, magnitude comparator, etc. Sequential functions include 8-bit DFF, counter, latch, programmable clock-divider, etc. The majority of 7400 logic parts are covered by this part. Special test circuitry is included for in-situ monitoring of the part during production. Endurance testing and monitor
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29

Yang, Hui Jing, Fan Yu, and Dan Dan Han. "High Performance FPGA Implementation of Floating Point Addition." Applied Mechanics and Materials 380-384 (August 2013): 3316–19. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3316.

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Addition is the most frequent floating point operation in modern microprocessors. The design of floating point addition is relatively complex than other flotation point arithmetic operations. Due to its complex shift-add-shift-round data flow, floating point addition can have a long latency. This paper has shown an efficient implementation of addition module on a reconfigurable platform cyclone IV EP4CE15, which is both area as well as performance optimal. The proposed design has optimized the individual complex components of adder module (like dynamic shifter, leading one detector (LOD), prio
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30

Xiang, Chuan, Jiahui Zhou, Bing Han, Weichen Li, and Hongge Zhao. "Fault Diagnosis of Rolling Bearing Based on a Priority Elimination Method." Sensors 23, no. 4 (2023): 2320. http://dx.doi.org/10.3390/s23042320.

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Aiming at the fault diagnosis accuracy of rolling bearings is not high enough, and unknown faults cannot be correctly identified. A priority elimination (PE) method is proposed in this paper. First, the priority diagnosis sequence of faults was determined by comparing the ratios of the inter-class distance to the intra-class distance for all faults. Then, the model training and fault diagnosis were carried out in order of the priority sequence, and the samples of the fault that had been identified were eliminated from the data set until all faults were diagnosed. For the diagnosis model, the s
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31

You, B., C. Gao, P. Yang, et al. "The Topmetal-CEE prototype, a direct charge sensor for the beam monitor of the CSR external-target experiment." Journal of Instrumentation 17, no. 09 (2022): C09030. http://dx.doi.org/10.1088/1748-0221/17/09/c09030.

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Abstract The Cooler-Storage-Ring External-target Experiment (CEE) which is being constructed since 2020 is a spectrometer to study the properties of nuclear matter at high baryon density region. We present the design and simulation results of a sensor named Topmetal-CEE which is being developed for an online beam monitor of the CEE. A prototype of the Topmetal-CEE has been designed in a standard CMOS 130 nm process and is being fabricated. The Topmetal-CEE prototype has 180 channels with a pitch of 100 μm. In each channel, electrons are collected by a charge collection electrode which is a top
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32

Chen, Yiyuan, Donghai Guan, Weiwei Yuan, and Tianzi Zang. "Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 15 (2025): 15948–56. https://doi.org/10.1609/aaai.v39i15.33751.

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Graph contrastive learning (GCL) has drawn much research attention for its ability to learn node representations in a self-supervised manner. However, the homophily assumption inherent in GNN encoders limits the direction (macro-level) and the process (micro-level) of message passing in current GCL frameworks, impairing the expressive power of GCL in non-homophilous graphs. This paper presents a novel framework that employs Macro and Micro Message Passing in GCL (M3P-GCL) to overcome these limitations and advance performance in both homophilous and non-homophilous graphs. Specifically, at the
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33

Yang, P., G. Aglieri, C. Cavicchioli, et al. "Low-power priority Address-Encoder and Reset-Decoder data-driven readout for Monolithic Active Pixel Sensors for tracker system." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 785 (June 2015): 61–69. http://dx.doi.org/10.1016/j.nima.2015.02.063.

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34

Battula, Bhanu Prakash, and Duraisamy Balaganesh. "Medical Image Data Classification Using Deep Learning Based Hybrid Model with CNN and Encoder." Revue d'Intelligence Artificielle 34, no. 5 (2020): 645–52. http://dx.doi.org/10.18280/ria.340516.

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Healthcare sector is one of the prime and different from other trade. Society expects high priority and highest level of services and care irrespective of money. Presently medical field suffers from accurate diagnosis of diseases and it create huge loss to society. The prime factor for this is due to the nature of medical data, it is a combination of all varieties of data. Medical image analysis is a key method of Computer-Aided Diagnosis (CAD) frameworks. Customary strategies depend predominantly on the shape, shading, and additionally surface highlights just as their mixes, a large portion o
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35

Zhang, Yin, Jianji Dong, Lei Lei, Hao He, and Xinliang Zhang. "40-Gbit/s 3-input all-optical priority encoder based on cross-gain modulation in two parallel semiconductor optical amplifiers." Frontiers of Optoelectronics 5, no. 2 (2012): 195–99. http://dx.doi.org/10.1007/s12200-012-0222-9.

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36

Aboussaleh, Ilyasse, Jamal Riffi, Khalid El Fazazy, Mohamed Adnane Mahraz, and Hamid Tairi. "Efficient U-Net Architecture with Multiple Encoders and Attention Mechanism Decoders for Brain Tumor Segmentation." Diagnostics 13, no. 5 (2023): 872. http://dx.doi.org/10.3390/diagnostics13050872.

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The brain is the center of human control and communication. Hence, it is very important to protect it and provide ideal conditions for it to function. Brain cancer remains one of the leading causes of death in the world, and the detection of malignant brain tumors is a priority in medical image segmentation. The brain tumor segmentation task aims to identify the pixels that belong to the abnormal areas when compared to normal tissue. Deep learning has shown in recent years its power to solve this problem, especially the U-Net-like architectures. In this paper, we proposed an efficient U-Net ar
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37

M. Shahane, Priti, and Narayan Pisharoty. "Implementation of ISLIP scheduler for NOC router on FPGA." International Journal of Engineering & Technology 7, no. 2.12 (2018): 268. http://dx.doi.org/10.14419/ijet.v7i2.12.11302.

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Network on chip (NoC) effectively replaces a traditional bus based architecture in System on chip (SoC). The NoC provides a solution to the communication bottleneck of the bus based interconnection in SoC, where large numbers of Intellectual modules are integrated on a single chip for better performance. In NoC architecture, the router is a dominant component, which should provide contention free architecture with low latency. The router consists of input block, scheduler and crossbar switch. The design of scheduler leads the performance of the NoC router in terms of latency. Hence the starvat
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38

Zhao, Wenbin, Jing Huang, Tongrang Fan, Yongliang Wu, and Keqiang Liu. "A Novel Compressed Sensing-Based Graph Isomorphic Network for Key Node Recognition and Entity Alignment." International Journal on Semantic Web and Information Systems 18, no. 2 (2022): 1–17. http://dx.doi.org/10.4018/ijswis.315600.

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In recent years, the related research of entity alignment has mainly focused on entity alignment via knowledge embeddings and graph neural networks; however, these proposed models usually suffer from structural heterogeneity and the large-scale problem of knowledge graph. A novel entity alignment model based on graph isomorphic network and compressed sensing is proposed. First, for the problem of structural heterogeneity, graph isomorphic network encoder is applied in knowledge graph to capture structural similarity of entity relation. Second, for the problem of large scale, key node and commu
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39

Zhang, Jing, Shaobo Zhang, Hui Wang, Yunsong Li, and Ruitao Lu. "Image Compression Network Structure Based on Multiscale Region of Interest Attention Network." Remote Sensing 15, no. 2 (2023): 522. http://dx.doi.org/10.3390/rs15020522.

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In this study, we proposed a region of interest (ROI) compression algorithm under the deep learning self-encoder framework to improve the reconstruction performance of the image and reduce the distortion of the ROI. First, we adopted a remote sensing image cloud detection algorithm for detecting important targets in images, that is, separating the remote sensing background from important regions in remote sensing images and then determining the target regions because most traditional ROI-based image compression algorithms utilize the manual labeling of the ROI to achieve region separation in i
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40

Harkat, Houda, José M. P. Nascimento, Alexandre Bernardino, and Hasmath Farhana Thariq Ahmed. "Assessing the Impact of the Loss Function and Encoder Architecture for Fire Aerial Images Segmentation Using Deeplabv3+." Remote Sensing 14, no. 9 (2022): 2023. http://dx.doi.org/10.3390/rs14092023.

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Wildfire early detection and prevention had become a priority. Detection using Internet of Things (IoT) sensors, however, is expensive in practical situations. The majority of present wildfire detection research focuses on segmentation and detection. The developed machine learning models deploy appropriate image processing techniques to enhance the detection outputs. As a result, the time necessary for data processing is drastically reduced, as the time required rises exponentially with the size of the captured pictures. In a real-time fire emergency, it is critical to notice the fire pixels a
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41

Lombardo, Alfio, Diego Reforgiato, and Giovanni Schembra. "P2P and MPEG FGS Encoding: A Good Recipe for Multipoint Video Transmission on the Internet." International Journal of Digital Multimedia Broadcasting 2009 (2009): 1–21. http://dx.doi.org/10.1155/2009/453471.

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In the last years Peer-to-Peer (P2P) systems have gained ground for content sharing between communities, determining a real revolution on the Internet. The characteristics of P2P systems make them a very good choice for multimedia content distribution over IP networks. However, although P2P technology gives new opportunities to define an efficient multimedia streaming application, at the same time it involves a set of technical challenges and issues due to the best-effort service offered by the Internet and its dynamic and heterogeneous nature. The most of existent protocols for video communic
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42

Nguyen, Xuan-Thuan, Trong-Thuc Hoang, Hong-Thu Nguyen, Katsumi Inoue, and Cong-Kha Pham. "A 0.9-V 50-MHz 256-bit 1D-to-2D-based single/multi-match priority encoder with 0.67-nW standby power on 65-nm SOTB CMOS." Microprocessors and Microsystems 73 (March 2020): 102970. http://dx.doi.org/10.1016/j.micpro.2019.102970.

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43

Abreu, H., E. Bechetoille, G. Bertolone та ін. "PICMIC-0: a 5 μm pitch hexagonal pixel sensor with an original tri-axis readout". Journal of Instrumentation 19, № 05 (2024): C05015. http://dx.doi.org/10.1088/1748-0221/19/05/c05015.

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Abstract We present in this paper a new sensor called PICMIC-0 that is intended to exploit the intrinsic spatial resolution of the MicroChannel Plate (MCP) detectors. Manufactured using 6-metal TowerJazz 180 nm wafer technology, the sensor features hexagonal charge collection pixels on the top metal layer with a pitch of 5 μm and covering an area of 7.4 × 6.4 mm2. The 2 million of the pixels of this sensor are not read out individually. Each pixel is connected to a straight-line in either 0°, 120° or -120° orientation, in which a current is produced in case of a hit. Each of these readout stri
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44

Deshpande, Shruti. "Image Caption Generation for the Visually Impaired Using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 6276–83. https://doi.org/10.22214/ijraset.2025.69822.

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Abstract: Providing written descriptions of visual content, image caption generation has become a vital assistive technique for people with vision impairments. In this study, an improved deep learning framework is presented to produce precise and contextually rich image captions intended for assistive technology applications. Our suggested architecture, which we refer to as ViT-BiLSTM-Attention (VBLA), combines a Vision Transformer (ViT) encoder with a bidirectional LSTM decoder enhanced by an attention mechanism. We tested our model on a novel dataset that has been specially selected for assi
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Zhang, Yu, Yue Zhao, and Ruiguang Zhao. "Model to predict the number of transistors in an asymmetrical priority Address-Encoder and Reset-Decoder readout circuit for monolithic active pixel sensors for high-energy physics." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 904 (October 2018): 171–78. http://dx.doi.org/10.1016/j.nima.2018.07.041.

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46

Zuo, Enguang, Xusheng Du, Alimjan Aysa, et al. "Anomaly Score-Based Risk Early Warning System for Rapidly Controlling Food Safety Risk." Foods 11, no. 14 (2022): 2076. http://dx.doi.org/10.3390/foods11142076.

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Food safety is a high-priority issue for all countries. Early warning analysis and risk control are essential for food safety management practices. This paper innovatively proposes an anomaly score-based risk early warning system (ASRWS) via an unsupervised auto-encoder (AE) for the effective early warning of detection products, which classifies qualified and unqualified products by reconstructing errors. The early warning analysis of qualified samples is carried out by early warning thresholds. The proposed method is applied to a batch of dairy product testing data from a Chinese province. Ex
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Dong, Shidu, Zhi Liu, Huaqiu Wang, Yihao Zhang, and Shaoguo Cui. "A Separate 3D Convolutional Neural Network Architecture for 3D Medical Image Semantic Segmentation." Journal of Medical Imaging and Health Informatics 9, no. 8 (2019): 1705–16. http://dx.doi.org/10.1166/jmihi.2019.2797.

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To exploit three-dimensional (3D) context information and improve 3D medical image semantic segmentation, we propose a separate 3D (S3D) convolution neural network (CNN) architecture. First, a two-dimensional (2D) CNN is used to extract the 2D features of each slice in the xy-plane of 3D medical images. Second, one-dimensional (1D) features reassembled from the 2D features in the z-axis are input into a 1D-CNN and are then classified feature-wise. Analysis shows that S3D-CNN has lower time complexity, fewer parameters and less memory space requirements than other 3D-CNNs with a similar structu
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Li, Jiayin. "The evolution, applications, and future prospects of large language models: An in-depth overview." Applied and Computational Engineering 35, no. 1 (2024): 234–44. http://dx.doi.org/10.54254/2755-2721/35/20230399.

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The evolution of natural language processing has transpired through three primary phases, with large-scale language models significantly transforming the field. These models have heightened the machine's capability to understand, produce, and interact with human language in unprecedented ways. Progressing from RNNs to transformer models, transitioning from encoder-decoder frameworks to decoder-centric designs, and the journey from BERT to the Chat-GPT series have marked significant shifts in the academic discourse. Impressively, these sophisticated models have infiltrated a range of sectors, i
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Chaudhuri, Gargi, and Niti B. Mishra. "Detection of Aquatic Invasive Plants in Wetlands of the Upper Mississippi River from UAV Imagery Using Transfer Learning." Remote Sensing 15, no. 3 (2023): 734. http://dx.doi.org/10.3390/rs15030734.

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Aquatic invasive plants (AIPs) are a global threat to local biodiversity due to their rapid adaptation to the new environments. Lythrum salicaria, commonly known as purple loosestrife, is a predominant AIP in the upper Midwestern region of the United States and has been designated as a deadly threat to the wetlands of this region. Accurate estimation of its current extent is a top priority, but regular monitoring is limited due to cost-, labor-, and time-intensive field surveys. Therefore, the goal of the present study is to accurately detect purple loosestrife from very high-resolution UAV im
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Baturin, A. S., V. V. Hvorenkov, and K. V. Shishakov. "Modern Solutions to Improve the Energy Efficiency of Radio Lines for the Technical Renewal of Radio Stations of Integrated Communication Systems." Vestnik IzhGTU imeni M.T. Kalashnikova 25, no. 4 (2022): 47–62. http://dx.doi.org/10.22213/2413-1172-2022-4-47-62.

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Promising tasks for improving radio equipment with increased energy efficiency, related to in-depth preliminary study and efficiency research using the stand of the chief designer, are considered. Initially, a theoretical factor analysis of the interference radio terminal energy efficiency with respect to evenly distributed over the spectrum is given. The problem of choosing a variant of digital modulation and parameters of a noise-resistant code from the condition of obtaining the least energy for the transmission of one bit of information at a given error probability per bit and the level of
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