Academic literature on the topic 'Encoder optimization'

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Journal articles on the topic "Encoder optimization"

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Hassan, Hammad, Muhammad Nasir Khan, Syed Omer Gilani, et al. "H.264 Encoder Parameter Optimization for Encoded Wireless Multimedia Transmissions." IEEE Access 6 (2018): 22046–53. http://dx.doi.org/10.1109/access.2018.2824835.

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Hamza, Ahmed M., Mohamed Abdelazim, Abdelrahman Abdelazim, and Djamel Ait-Boudaoud. "HEVC Rate-Distortion Optimization with Source Modeling." Electronic Imaging 2021, no. 10 (2021): 259–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.10.ipas-259.

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The Rate-Distortion adaptive mechanisms of MPEG-HEVC (High Efficiency Video Coding) and its derivatives are an incremental improvement in the software reference encoder, providing a selective Lagrangian parameter choice which varies by encoding mode (intra or inter) and picture reference level. Since this weighting factor (and the balanced cost functions it impacts) are crucial to the RD optimization process, affecting several encoder decisions and both coding efficiency and quality of the encoded stream, we investigate an improvement by modern reinforcement learning methods. We develop a neur
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Wang, Lei, Qimin Ren, Jingang Jiang, Hongxin Zhang, and Yongde Zhang. "Recent Patents on Magnetic Encoder and its use in Rotating Mechanism." Recent Patents on Engineering 13, no. 3 (2019): 194–200. http://dx.doi.org/10.2174/1872212112666180628145856.

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Background: The application of magnetic encoder relieves the problem of reliable application of servo system in vibration field. The magnetic encoder raises the efficiency and reliability of the system, and from structural considerations, the magnetic encoder is divided into two parts: signal conversion and structural support. Objective: In order to improve the accuracy of the magnetic encoder, its structure is constantly improving. To evaluate a magnetic encoder, the accuracy is a factor, meanwhile, the structure of magnetic encoder is one of the key factors that make difference in the accura
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M, Kishan, Kruthika B A, Mythreye S R, and Abhishek R Palanker. "Optimized 32-Bit Multirate Fully Parallel LDPC Encoder for Advanced Applications." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–7. https://doi.org/10.55041/ijsrem39486.

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Abstract—This paper presents a 32-bit multirate fully parallel Low-Density Parity-Check (LDPC) encoder tailored for advanced communication systems. The proposed design focuses on optimizing the architecture to achieve high throughput, low latency, and efficient resource utilization. By incorporating an enhanced parallel processing framework, the encoder supports multiple rates while maintaining robust error-correction capabilities. Its scalable structure and efficient implementation make it suitable for high-performance applications, including modern wireless communication standards. Simulatio
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P. Anjaneya and P. Sushma. "Efficient 4-Bit Encoder Design with Memristor Technology and SAPON Integration." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 09 (2024): 2296–302. http://dx.doi.org/10.47392/irjaeh.2024.0314.

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This study displays three different encoder setups: CMOS, Memristor, and Pseudo NMOS. Digital logic gate designs that use memristors provide an alternative to the present IC architecture. This computing architecture will be among the upcoming ones. The poly silicon gate of an NMOS transistor can be used to build memristors, making MRL gates simple to fabricate. The encoder's design makes use of four bits. When comparing the recommended 4-bit encoder with memristor logic to one with CMOS logic and pseudo-N MOS logic, the former requires less power. This paper also presents a 4-bit encoder desig
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Lee, Yoon Jin, Dong In Bae, and Gwang Hoon Park. "HEVC Encoder Optimization using Depth Information." Journal of Broadcast Engineering 19, no. 5 (2014): 640–55. http://dx.doi.org/10.5909/jbe.2014.19.5.640.

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Wang, Shanshe, Falei Luo, Siwei Ma, et al. "Low complexity encoder optimization for HEVC." Journal of Visual Communication and Image Representation 35 (February 2016): 120–31. http://dx.doi.org/10.1016/j.jvcir.2015.12.005.

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Merel, Josh, Donald M. Pianto, John P. Cunningham, and Liam Paninski. "Encoder-Decoder Optimization for Brain-Computer Interfaces." PLOS Computational Biology 11, no. 6 (2015): e1004288. http://dx.doi.org/10.1371/journal.pcbi.1004288.

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Hanli Wang, Ming-Yan Chan, S. Kwong, and Chi-Wah Kok. "Novel quantized DCT for video encoder optimization." IEEE Signal Processing Letters 13, no. 4 (2006): 205–8. http://dx.doi.org/10.1109/lsp.2005.863691.

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Bariani, M., P. Lambruschini, and M. Raggio. "An Efficient Multi-Core SIMD Implementation for H.264/AVC Encoder." VLSI Design 2012 (May 29, 2012): 1–14. http://dx.doi.org/10.1155/2012/413747.

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The optimization process of a H.264/AVC encoder on three different architectures is presented. The architectures are multi- and singlecore and SIMD instruction sets have different vector registers size. The need of code optimization is fundamental when addressing HD resolutions with real-time constraints. The encoder is subdivided in functional modules in order to better understand where the optimization is a key factor and to evaluate in details the performance improvement. Common issues in both partitioning a video encoder into parallel architectures and SIMD optimization are described, and
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Dissertations / Theses on the topic "Encoder optimization"

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Mallikarachchi, Thanuja. "HEVC encoder optimization and decoding complexity-aware video encoding." Thesis, University of Surrey, 2017. http://epubs.surrey.ac.uk/841841/.

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The increased demand for high quality video evidently elevates the bandwidth requirements of the communication channels being used, which in return demands for more efficient video coding algorithms within the media distribution tool chain. As such, High Efficiency Video Coding (HEVC) video coding standard is a potential solution that demonstrates a significant coding efficiency improvement over its predecessors. HEVC constitutes an assortment of novel coding tools and features that contribute towards its superior coding performance, yet at the same time demand more computational, processing a
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Syu, Eric. "Implementing rate-distortion optimization on a resource-limited H.264 encoder." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33365.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.<br>Includes bibliographical references (leaves 57-59).<br>This thesis models the rate-distortion characteristics of an H.264 video compression encoder to improve its mode decision performance. First, it provides a background to the fundamentals of video compression. Then it describes the problem of estimating rate and distortion of a macroblock given limited computational resources. It derives the macroblock rate and distortion as a function of the residual SAD and H.264 quantiz
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Carriço, Nuno Filipe Marques. "Transformer approaches on hyper-parameter optimization and anomaly detection with applications in stream tuning." Master's thesis, Universidade de Évora, 2022. http://hdl.handle.net/10174/31068.

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Hyper-parameter Optimisation consists of finding the parameters that maximise a model’s performance. However, this mainly concerns processes in which the model shouldn’t change over time. Hence, how should an online model be optimised? For this, we pose the following research question: How and when should the model be optimised? For the optimisation part, we explore the transformer architecture as a function mapping data statistics into model parameters, by means of graph attention layers, together with reinforcement learning approaches, achieving state of the art results. On the other hand, i
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Zouidi, Naïma. "Complexity reduction of VVC encoder using machine learning techniques : intra-prediction." Electronic Thesis or Diss., Rennes, INSA, 2023. http://www.theses.fr/2023ISAR0016.

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En juillet 2020, la nouvelle norme de codage vidéo, appelle Versatile Video Coding (VVC), a été publiée par le groupe Joint Video Experts Team (JVET). Cette norme permet un niveau plus élevé de polyvalence avec une meilleure performance en compression vidéo par rapport à son prédécesseur, High-Efficiency Video Coding (HEVC). En effet, elle introduit plusieurs nouveaux outils de codage tels que les modes de prédiction intra à granularité plus fine (IPMs) et la division QuadTree Multi-type Tree (QTMT). Étant donné que la recherche des meilleures décisions de codage est généralement précédée par
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Hägg, Ragnar. "Scalable High Efficiency Video Coding : Cross-layer optimization." Thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-257558.

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In July 2014, the second version of the HEVC/H.265 video coding standard was announced, and it included the Scalable High efficiency Video Coding (SHVC) extension. SHVC is used for coding a video stream with subset streams of the same video with lower quality, and it supports spatial, temporal and SNR scalability among others. This is used to enable easy adaption of a video stream, by dropping or adding packages, to devices with different screen sizes, computing power and bandwidth. In this project SHVC has been implemented in Ericsson's research encoder C65. Some cross-layer optimizations hav
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Sun, Hui [Verfasser], Ralph [Akademischer Betreuer] Kennel, Alexander W. [Gutachter] Koch, and Ralph [Gutachter] Kennel. "Optimization of Velocity and Displacement Measurement with Optical Encoder and Laser Self-Mixing Interferometry / Hui Sun ; Gutachter: Alexander W. Koch, Ralph Kennel ; Betreuer: Ralph Kennel." München : Universitätsbibliothek der TU München, 2020. http://d-nb.info/1230552693/34.

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Al-Hasani, Firas Ali Jawad. "Multiple Constant Multiplication Optimization Using Common Subexpression Elimination and Redundant Numbers." Thesis, University of Canterbury. Electrical and Computer Engineering, 2014. http://hdl.handle.net/10092/9054.

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The multiple constant multiplication (MCM) operation is a fundamental operation in digital signal processing (DSP) and digital image processing (DIP). Examples of the MCM are in finite impulse response (FIR) and infinite impulse response (IIR) filters, matrix multiplication, and transforms. The aim of this work is minimizing the complexity of the MCM operation using common subexpression elimination (CSE) technique and redundant number representations. The CSE technique searches and eliminates common digit patterns (subexpressions) among MCM coefficients. More common subexpressions can be found
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Nasrallah, Anthony. "Novel compression techniques for next-generation video coding." Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAT043.

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Le contenu vidéo occupe aujourd'hui environ 82% du trafic Internet mondial. Ce pourcentage important est dû à la révolution des contenus vidéo. D’autre part, le marché exige de plus en plus des vidéos avec des résolutions et des qualités plus élevées. De ce fait, développer des algorithmes de codage encore plus efficaces que ceux existants devient une nécessité afin de limiter afin de limiter l’augmentation de la quantité de données vidéo circulant sur internet et assurer une meilleure qualité de service. En outre, la consommation impressionnante de contenu multimédia dans les produits électro
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Luo, Fangyi. "Post-Layout DFM optimization based on hybrid encoded topological layout /." Diss., Digital Dissertations Database. Restricted to UC campuses, 2005. http://uclibs.org/PID/11984.

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Zhang, Yuanzhi. "Algorithms and Hardware Co-Design of HEVC Intra Encoders." OpenSIUC, 2019. https://opensiuc.lib.siu.edu/dissertations/1769.

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Digital video is becoming extremely important nowadays and its importance has greatly increased in the last two decades. Due to the rapid development of information and communication technologies, the demand for Ultra-High Definition (UHD) video applications is becoming stronger. However, the most prevalent video compression standard H.264/AVC released in 2003 is inefficient when it comes to UHD videos. The increasing desire for superior compression efficiency to H.264/AVC leads to the standardization of High Efficiency Video Coding (HEVC). Compared with the H.264/AVC standard, HEVC offers a d
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Books on the topic "Encoder optimization"

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Caplan, Stephanie Tanya. Optimization of binary gabor zone plate encoded holography techniques with visible wavelengths. University of Birmingham, 1997.

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Book chapters on the topic "Encoder optimization"

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Shu, Ruo, Shibao Li, and Xin Pan. "An Optimization Scheme for SVAC Audio Encoder." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-662-44980-6_25.

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Qinglei, Meng, Yao Chunlian, and Li Bo. "Video Encoder Optimization Implementation on Embedded Platform." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11881223_111.

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Zhang, Guanghao, Dongshun Cui, Shangbo Mao, and Guang-Bin Huang. "Sparse Bayesian Learning for Extreme Learning Machine Auto-encoder." In Proceedings in Adaptation, Learning and Optimization. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23307-5_34.

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Kumar, Saurav, Satvik Gupta, Vishvender Singh, Mohit Khokhar, and Prashant Singh Rana. "Parameter Optimization for H.265/HEVC Encoder Using NSGA II." In Advances in Intelligent Systems and Computing. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3325-4_11.

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Liu, Hui, Hang-cheng Zeng, and Bu Pu. "Implementation and Optimization of H.264 Encoder Based on TMS320DM6467." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-26001-8_61.

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Hsu, Chi-Yuan, and Antonio Ortega. "Joint Encoder and VBR Channel Optimization with Buffer and Leaky Bucket Constraints." In Multimedia Communications and Video Coding. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-0403-6_50.

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Cao, Li, Xiaoyun Zhang, and Zhiyong Gao. "An Efficient Optimization of Real-Time AVS+ Encoder in Low Bitrate Condition." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4211-9_26.

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Tran, Duc Hoa, Michel Meunier, and Farida Cheriet. "Deep Image Clustering Using Self-learning Optimization in a Variational Auto-Encoder." In Pattern Recognition. ICPR International Workshops and Challenges. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68790-8_56.

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Brahmane, A. V., and B. Chaitanya Krishna. "Chaotic Biogeography Based Optimization Using Deep Stacked Auto Encoder for Big Data Classification." In Evolutionary Artificial Intelligence. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8438-1_27.

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Srivatsan, K., G. Jyothish Lal, E. A. Gopalakrishnan, and Vinayakumar Ravi. "End-to-End Portfolio Optimization Using Transformer Encoder Model for Long Positions Strategy." In Smart Innovation, Systems and Technologies. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3690-4_8.

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Conference papers on the topic "Encoder optimization"

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Kim, Chul Keun, Hendry Tan, Jaehyun Lim, and Seung Hwan Kim. "Encoder Optimization Information SEI Message for Identifying Optimization Objectives and Methods." In 2024 IEEE International Conference on Visual Communications and Image Processing (VCIP). IEEE, 2024. https://doi.org/10.1109/vcip63160.2024.10849933.

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Azevedo, Roberto, Yuanyi Xue, Xuewei Meng, Wenhao Zhang, Scott Labrozzi, and Christopher Schroers. "Efficient Video Encoder Autotuning via Offline Bayesian Optimization and Supervised Learning." In 2024 IEEE 26th International Workshop on Multimedia Signal Processing (MMSP). IEEE, 2024. http://dx.doi.org/10.1109/mmsp61759.2024.10743914.

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Li, Jianping. "Learning Hybrid Extraction and Distillation using Phenomena-based String Representation." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.171879.

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We present a string representation for hybrid extraction and distillation using symbols representing phenomena building blocks. Unlike the conventional equipment-based string representation, the proposed representation captures the design details of liquid-liquid extraction and distillation. We generate a set of samples through the procedure of input parameter sampling and superstructure optimization that minimizes separation cost. We convert these generated samples into a set of string representations based on pre-defined rules. We use these string representations as descriptors and connect t
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Hosseini, Seyyed Sadegh, and Gholam Ali Montazer. "Genetic Algorithm Hyperparameters Optimization for Auto-Encoder to Enhance Credit Card Fraud Detection." In 2025 11th International Conference on Web Research (ICWR). IEEE, 2025. https://doi.org/10.1109/icwr65219.2025.11006243.

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Evangelin Sonia, S. V., Narendra B. Mustare, V. Sailaja, and Pamarthi Sunitha. "IoT-Enabled Alzheimer Disease Detection: A Convolutional Encoder-Decoder Approach Enhanced by Alpine Skiing Optimization." In 2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI). IEEE, 2024. http://dx.doi.org/10.1109/icoici62503.2024.10696255.

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Mammadova, Fakhriyya, Berkay Neseli, and Hamza Kurt. "Inverse Design of a 4-by-2 Silicon-Based Photonic Encoder Circuit Using Topology Optimization." In 2024 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR). IEEE, 2024. http://dx.doi.org/10.1109/cleo-pr60912.2024.10676618.

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Tang, Liang. "Optimization of English Machine Translation based on Bidirectional Encoder Representations from Transformers-Integrated Neural Architectures." In 2025 3rd International Conference on Data Science and Information System (ICDSIS). IEEE, 2025. https://doi.org/10.1109/icdsis65355.2025.11070579.

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Gomes, Diullei M., and Isah A. Lawal. "Drainage Strategy Optimization Using Machine Learning Methods." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/217092-ms.

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ABSTRACT Oil production optimization is a crucial issue in the oil industry. Simulating different production scenarios effectively and quickly enables companies to automate and optimize production systems. This paper presents a study on developing intelligent agents to aid reservoir engineers in optimizing oil production. We propose a machine learning model for optimizing oil production over time by adjusting the pressure in oil reservoirs. The proposed model architecture uses three encoders (field values encoder, well values encoder, and 3D grid values encoder) to process input data. Using th
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Luis Bustamante, Alvaro, José M. Molina López, and Miguel A. Patricio. "Video encoder optimization via evolutionary multiobjective optimization algorithms." In the 11th Annual conference. ACM Press, 2009. http://dx.doi.org/10.1145/1569901.1570189.

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Hu, Qiang, Xiaoyun Zhang, Zhiyong Gao, and Jun Sun. "Analysis and optimization of x265 encoder." In 2014 Visual Communications and Image Processing (VCIP). IEEE, 2014. http://dx.doi.org/10.1109/vcip.2014.7051616.

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Reports on the topic "Encoder optimization"

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Barbau, Raphael, and Conrad Bock. SysML Extension for Logistics Modeling and Analysis (SysLMA). National Institute of Standards and Technology, 2025. https://doi.org/10.6028/nist.ir.8571.

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Many engineers use analysis tools to predict behavior or find optimal values for properties of systems built to proposed designs, informing system design work by identifying cases where a design will perform incorrectly or in suboptimal ways. Design and analysis tools encode descriptions of systems in a variety of ways that are typically inconsistent, significantly reducing the overall engineering processes due to the additional effort resolving these problems. Systems engineering addresses this by establishing a single source for system descriptions, typically expressed in the Systems Modelin
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