Academic literature on the topic 'Depth data encoding algorithm'

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Journal articles on the topic "Depth data encoding algorithm"

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Liu, Ziqi, Yong Xue, Jiaqi Zhao, et al. "A Multi-Strategy Siberian Tiger Optimization Algorithm for Task Scheduling in Remote Sensing Data Batch Processing." Biomimetics 9, no. 11 (2024): 678. http://dx.doi.org/10.3390/biomimetics9110678.

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With advancements in integrated space–air–ground global observation capabilities, the volume of remote sensing data is experiencing exponential growth. Traditional computing models can no longer meet the task processing demands brought about by the vast amounts of remote sensing data. As an important means of processing remote sensing data, distributed cluster computing’s task scheduling directly impacts the completion time and the efficiency of computing resource utilization. To enhance task processing efficiency and optimize the allocation of computing resources, this study proposes a Multi-
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Gao, Binxi. "Multimodal Data Mining Based on Self Attention Feature Alignment." Highlights in Science, Engineering and Technology 115 (October 28, 2024): 169–74. http://dx.doi.org/10.54097/9r70rn59.

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This study explores the application of multimodal data mining in text and image vector processing, aiming to improve the depth and breadth of data analysis by integrating information from different data types. We use the FairFace dataset combined with the CLIP model encoding layer to obtain text and image vectors, and use the K-Means clustering algorithm to achieve vector dimensionality reduction. Subsequently, we introduced the bipartite graph matching algorithm to achieve maximum matching between text vectors and image vectors, and calculated the contrastive learning loss and similarity loss
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Ranga, Deepak, Aryan Rana, Sunil Prajapat, Pankaj Kumar, Kranti Kumar, and Athanasios V. Vasilakos. "Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Directions." Mathematics 12, no. 21 (2024): 3318. http://dx.doi.org/10.3390/math12213318.

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Quantum computing and machine learning (ML) have received significant developments which have set the stage for the next frontier of creative work and usefulness. This paper aims at reviewing various data-encoding techniques in Quantum Machine Learning (QML) while highlighting their significance in transforming classical data into quantum systems. We analyze basis, amplitude, angle, and other high-level encodings in depth to demonstrate how various strategies affect encoding improvements in quantum algorithms. However, they identify major problems with encoding in the framework of QML, includi
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Yang, Hui, Qiuming Liu, and Chao Song. "Adaptive QP algorithm for depth range prediction and encoding output in virtual reality video encoding process." PLOS ONE 19, no. 9 (2024): e0310904. http://dx.doi.org/10.1371/journal.pone.0310904.

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In order to reduce the encoding complexity and stream size, improve the encoding performance and further improve the compression performance, the depth prediction partition encoding is studied in this paper. In terms of pattern selection strategy, optimization analysis is carried out based on fast strategic decision-making methods to ensure the comprehensiveness of data processing. In the design of adaptive strategies, different adaptive quantization parameter adjustment strategies are adopted for the equatorial and polar regions by considering the different levels of user attention in 360 deg
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Liu, Peizhuo. "The Reconstruction of RDP-Based RAID-6 under Double Disk Failures: An In-depth Analysis." Highlights in Science, Engineering and Technology 87 (March 26, 2024): 52–58. http://dx.doi.org/10.54097/v57j7f19.

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As the data volume increases rapidly, the necessity for data storage systems is also rising significantly. The RAID technologies have been widely applied in data storage, due to their reliability and reconstruction ability under disk failures. Furthermore, as the disks in RAIDs increase, disk failures occur more frequently, arousing a considerable amount of data loss. Given this situation, this paper proposes a reconstruction algorithm for double-disk failures and an extension coding scheme which is called RDP+ based on Row-diagonal parity (RDP) to address single-disk failures which are the mo
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Gois, Marcilyanne M., Paulo Matias, André B. Perina, Vanderlei Bonato, and Alexandre C. B. Delbem. "A Parallel Hardware Architecture based on Node-Depth Encoding to Solve Network Design Problems." International Journal of Natural Computing Research 4, no. 1 (2014): 54–75. http://dx.doi.org/10.4018/ijncr.2014010105.

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Many problems involving network design can be found in the real world, such as electric power circuit planning, telecommunications and phylogenetic trees. In general, solutions for these problems are modeled as forests represented by a graph manipulating thousands or millions of input variables, making it hard to obtain the solutions in a reasonable time. To overcome this restriction, Evolutionary Algorithms (EAs) with dynamic data structures (encodings) have been widely investigated to increase the performance of EAs for Network Design Problems (NDPs). In this context, this paper proposes a p
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Chang, Wanjun, and Dongfang Zhang. "A Novel Semantic Segmentation Approach Using Improved SegNet and DSC in Remote Sensing Images." International Journal on Semantic Web and Information Systems 19, no. 1 (2023): 1–17. http://dx.doi.org/10.4018/ijswis.332769.

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An improved SegNet semantic segmentation model is proposed to address the issue of traditional classification algorithms and shallow learning algorithms not being suitable for extracting information from high-resolution remote sensing images. During the research process, space remote sensing images obtained from the GF-1 satellite were used as the data source. In order to improve the operational efficiency of the encoding network, the pooling layer in the encoding network is removed and the ordinary convolutional layer is replaced with a depth-wise separable convolution. By decoding the last l
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Mou, Dingkang, and Yumin Dong. "Color image encryption algorithm based on novel dynamic DNA encoding and chaotic system*." Physica Scripta 99, no. 6 (2024): 065201. http://dx.doi.org/10.1088/1402-4896/ad3ff1.

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Abstract To enhance the security of image data, prevent unauthorized access, tampering, and leakage, maintain personal privacy, protect intellectual property rights, and ensure the integrity of images during transmission and storage. This study introduces an innovative color image encryption scheme based on dynamic DNA encoding operations and chaotic systems. By simulating a quantum random walk, a random key is generated to enhance the security of the confidential system. In addition, we integrated the enhanced Josephus problem into DNA coding rules to create dynamic DNA coding rules. At the s
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Wang, Fengqin, Zhiying Wang, and Qiuwen Zhang. "Efficient CU Decision Algorithm for VVC 3D Video Depth Map Using GLCM and Extra Trees." Electronics 12, no. 18 (2023): 3914. http://dx.doi.org/10.3390/electronics12183914.

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The new generation of 3D video is an international frontier research hotspot. However, the large amount of data and high complexity are core problems to be solved urgently in 3D video coding. The latest generation of video coding standard versatile video coding (VVC) adopts the quad-tree with nested multi-type tree (QTMT) partition structure, and the coding efficiency is much higher than other coding standards. However, the current research work undertaken for VVC is less for 3D video. In light of this context, we propose a fast coding unit (CU) decision algorithm based on the gray level co-oc
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He, Shuqian, Zhengjie Deng, and Chun Shi. "Fast Decision Algorithm of CU Size for HEVC Intra-Prediction Based on a Kernel Fuzzy SVM Classifier." Electronics 11, no. 17 (2022): 2791. http://dx.doi.org/10.3390/electronics11172791.

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High Efficiency Video Coding (HEVC) achieves a significant improvement in compression efficiency at the cost of extremely high computational complexity. Therefore, large-scale and wide deployment applications, especially mobile real-time video applications under low-latency and power-constrained conditions, are more challenging. In order to solve the above problems, a fast decision method for intra-coding unit size based on a new fuzzy support vector machine classifier is proposed in this paper. The relationship between the depth levels of coding units is accurately expressed by defining the c
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Dissertations / Theses on the topic "Depth data encoding algorithm"

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Aldrovandi, Lorenzo. "Depth estimation algorithm for light field data." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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Mansour, Moussa Reda. "Algoritmo para obtenção de planos de restabelecimento para sistemas de distribuição de grande porte." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/18/18154/tde-06052009-100440/.

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A elaboração de planos de restabelecimento de energia (PRE) de forma rápida, para re-energização de sistemas de distribuição radiais (SDR), faz-se necessária para lidar com situações que deixam regiões dos SDR sem energia. Tais situações podem ser causadas por faltas permanentes ou pela necessidade de isolar zonas dos SDR para serviços de manutenção. Dentre os objetivos de um PRE, destacam-se: (i) reduzir o número de consumidores interrompidos (ou nenhum), e (ii) minimizar o número de manobras; que devem ser atendidos sem desrespeitar os limites operacionais dos equipamentos. Conseqüentemente,
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Sengupta, Aritra. "Empirical Hierarchical Modeling and Predictive Inference for Big, Spatial, Discrete, and Continuous Data." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1350660056.

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Oliveira, Marcos Antônio Almeida de. "Heurística aplicada ao problema árvore de Steiner Euclidiano com representação nó-profundidade-grau." Universidade Federal de Goiás, 2014. http://repositorio.bc.ufg.br/tede/handle/tede/4171.

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Submitted by Luanna Matias (lua_matias@yahoo.com.br) on 2015-02-06T19:23:12Z No. of bitstreams: 2 Dissertação - Marcos Antônio Almeida de Oliveira - 2014..pdf: 1092566 bytes, checksum: 55edbdaf5b3ac84fe3f6835682fe2a13 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)<br>Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2015-02-19T14:34:20Z (GMT) No. of bitstreams: 2 Dissertação - Marcos Antônio Almeida de Oliveira - 2014..pdf: 1092566 bytes, checksum: 55edbdaf5b3ac84fe3f6835682fe2a13 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac95
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Marques, Leandro Tolomeu. "Restabelecimento de energia em sistemas de distribuição considerando aspectos práticos." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/18/18154/tde-26072018-134924/.

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No contexto da operação de sistemas de distribuição, um dos problemas com os quais os operadores lidam frequentemente é o de restabelecimento de energia. Este problema surge na ocorrência de uma falta permanente e pode ser tratado por meio de manobras em chaves presentes na rede primária. Uma vez que tais redes operam com topologia radial, a ocorrência de uma falta pode resultar no desligamento de consumidores saudáveis. Desta maneira, o problema consiste em definir, num curto intervalo de tempo, um número mínimo de chaves que devem ser operadas a fim de isolar a falta e restaurar o máximo de
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Hemanth, Kumar S. "On Applications of 3D-Warping and An Analysis of a RANSAC Heuristic." Thesis, 2018. http://etd.iisc.ac.in/handle/2005/4156.

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In recent years communication of the scene geometry is gaining importance. With development of technologies such as head mounted displays and Augmented Reality (AR) the need for efficient 3D scene communication is becoming vital. Depth sensors are being incorporated into smartphones for large scale deployment of AR applications. 3D-communication require synchronous capture of the scene from multiple viewpoints along with depth for each view, known as Multiview Plus Depth (MVD) data. The number of views required depends on application. Traditionally, it has been assumed that devices are static
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Yu-ChihChang and 張宇志. "A Fast Depth Map Compression Algorithm for H.264 Encoding Scheme." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/21078118850434017531.

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碩士<br>國立成功大學<br>電機工程學系碩博士班<br>100<br>Due to the rapid growth of population in consuming 3D or electronic products like smart phone and 3DTV, the issue of representation of 3D video is getting much more attention in recent years. There is one of the most famous 3D video representation called” Advanced Three-Dimensional Television System Technologies(ATTEST)”which uses a monoscopic video (color component) and per pixel depth information (depth component). After decoding the two sequences, it is used to synthesis free view-point views by means of depth image-based rendering techniques. Depth Imag
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Chen, Wei-Jen, and 陳威任. "The Modified Encoding Algorithm of ECG Data Compression Based on Wavelet Transform." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/04519476568133918606.

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碩士<br>國立臺北科技大學<br>電機工程系碩士班<br>92<br>Because the ECG data are enormous and need long recording time, data compression of ECG has been investigated for several decades. The research purpose of this thesis is to improve the performance of data compression of ECG and obtain the high compressed rate and low reconstructed error. For data compression of ECG, the transform type encode structure is adopted in this thesis. Firstly, the input ECG signal is preprocessed into a relevant form. After preprocessing, the ECG signals are processed by the wavelet transform. According to the percent of energy bet
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Chen, Hung-lung, and 陳宏隆. "Run length encoding-- based algorithm for mining association rules in data stream." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/90489529147629035129.

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碩士<br>南華大學<br>資訊管理學研究所<br>96<br>It is a new developing research field that the materials bunch flows and prospects, and the RLEated rule performs algorithms and is prospected by the materials (Data Mining) A quite important and practical technology in China. The RLEated type rule main purpose is to find out the dependence of some materials projects in the huge materials. The main method is to search the database and find out all high-frequency project teams; And utilize the high-frequency project team to excavate out all RLEated type rules.Because of the production of a large number of materia
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Yu, Ang-Hsun, and 游昂勳. "An Improved Data Hiding Algorithm Based on the Method of Matrix Encoding." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/73459809838000223623.

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碩士<br>國立暨南國際大學<br>資訊工程學系<br>100<br>The meaning of data (information) hiding is to embed the secret information into a cover host, such as an image. Usually, the naked eye of the people cannot perceive any change when the image is modified slightly. The evaluation of data hiding schemes should be measured by the distortion (or called Mean Square Error; MSE) and the embedding rate (the average number of bits embedded in a cover pixel). In this paper, we propose an improved data hiding scheme which improves the matrix encoding-based data hiding algorithm by the idea of Hamming+1 to further enhan
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Books on the topic "Depth data encoding algorithm"

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Data Structure and Algorithm: Simply in Depth. Independently Published, 2021.

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Rudoi, M. D., I. A. Umnyagina, E. V. Makarova, and V. V. Troshin. The use of volumetric sphygmography to assess cardiovascular risk in people working under the influence of industrial noise: manual for doctors. Remedium Privolzhje, 2023. http://dx.doi.org/10.21145/978-5-6051016-0-4_2023.

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The information and methodological manual was approved at the meeting of the Academic Council of the Nizhny Novgorod Research Institute of Hygiene and Occupational Pathology of Rospotrebnadzor on 21.09.2023, recommended for in-depth mandatory medical examinations of workers in harmful working conditions, with additional professional education of occupational pathologists. The relevance of the manual is due to the fact that diseases of the circulatory system currently remain the leading causes of morbidity and mortality of people of working age, at the same time, the complex of clinical and lab
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Book chapters on the topic "Depth data encoding algorithm"

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Baidari, Ishwar, and Channamma Patil. "K-Data Depth Based Clustering Algorithm." In Computational Intelligence: Theories, Applications and Future Directions - Volume I. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1132-1_2.

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Song, Bin, Limin Xiao, Guangjun Qin, Li Ruan, and Shida Qiu. "A Deduplication Algorithm Based on Data Similarity and Delta Encoding." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3969-0_28.

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Hsu, Minyu, Jeanne Chen, and Wien Hong. "Lossless Data Hiding with VQ Indices Encoding Using Genetic Algorithm." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4182-3_38.

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Mou, Xingang, Chang Liu, and Xiao Zhou. "Radar Echo Image Prediction Algorithm Based on Multi-scale Encoding-Decoding Network." In Intelligent Data Engineering and Automated Learning – IDEAL 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91608-4_61.

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Gül-Ficici, Sebnem, Maximilian Spiegel, and Ulrich Göhner. "Machine Learning Using a Hybrid Quantum Classical Algorithm with Amplitude Data Encoding." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-82957-4_16.

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Du, Jun, Emin Erkan Korkmaz, Reda Alhajj, and Ken Barker. "Alternative Clustering by Utilizing Multi-objective Genetic Algorithm with Linked-List Based Chromosome Encoding." In Machine Learning and Data Mining in Pattern Recognition. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11510888_34.

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Ye, Nan, Jianfeng Di, Jiapeng Zhang, Rui Zhang, Xiaopei Xu, and Ying Yan. "LDPC Encoding and Decoding Algorithm of LEO Satellite Communication Based on Big Data." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3387-5_10.

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Wyss, Catharine, Chris Giannella, and Edward Robertson. "FastFDs: A Heuristic-Driven, Depth-First Algorithm for Mining Functional Dependencies from Relation Instances Extended Abstract." In Data Warehousing and Knowledge Discovery. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44801-2_11.

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Singha, Souvik, and Debarshi Saha. "Encoding-Based Algorithm for Minimization of Inductive Cross-Talk Based on Off-Chip Data Transmission." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21747-0_119.

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Kathirvalavakumar, T., and R. Palaniappan. "Modified Run-Length Encoding Method and Distance Algorithm to Classify Run-Length Encoded Binary Data." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19263-0_33.

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Conference papers on the topic "Depth data encoding algorithm"

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Wang, Ling, Yaokang Li, Peng Wang, and Yane Bai. "Research on monocular depth estimation algorithm based on improved DNA-Depth." In 5th International Conference on Computer Vision and Data Mining (ICCVDM 2024), edited by Xin Zhang and Minghao Yin. SPIE, 2024. http://dx.doi.org/10.1117/12.3048066.

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Rao, Sonu Kumar, Rahul Kumar, Naveen K. Nishchal, and Ayman Alfalou. "Optical image encryption using modified GS algorithm and DNA encoding." In Frontiers in Optics. Optica Publishing Group, 2024. https://doi.org/10.1364/fio.2024.jtu4a.51.

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Optical image encryption using modified GS algorithm and deoxyribonucleic acid (DNA) encoding is proposed. The scheme provides a novel way to encode optically encrypted data into DNA sequences and its transmission through optical vortex beam.
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Rückert, Rainer, Christian Herglotz, Oliver Sura, Youliy Ninov, André Kaup, and Martin Vossiek. "Combining Run-Length Encoding Preprocessing With Lempel-Ziv-Markov Algorithm to Enhance Compression for Automotive Radar Data." In 2025 16th German Microwave Conference (GeMiC). IEEE, 2025. https://doi.org/10.23919/gemic64734.2025.10979136.

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Zhu, Longhui. "GeoSep-PointNet++: A 3D Point Cloud Semantic Segmentation Algorithm Based on Geometric Information Enhancement and Feature Separation Encoding." In 2024 IEEE 4th International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA). IEEE, 2024. https://doi.org/10.1109/iciba62489.2024.10869004.

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Ignacio-Cerrato, Sara, David Pacios, José Miguel Ezquerro Rodríguez, et al. "Ultracolor Multiplexing in QR Codes for Data Encryption and Transmission." In Frontiers in Optics. Optica Publishing Group, 2024. https://doi.org/10.1364/fio.2024.jd4a.3.

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This paper introduces an innovative encryption method using ultracolor codification via the Prism Algorithm, which effectively encodes large data volumes into images with base64 encoding, demonstrating practical reliability and potential for secure data transmission.
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Zhou, Hao, Fen Chen, Zongju Peng, Gangyi Jiang, Mei Yu, and Wei Bi. "Encoding oriented depth video spatial processing algorithm." In 3rd International Conference on Green Communications and Networks. WIT Press, 2014. http://dx.doi.org/10.2495/gcn131142.

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Wali, Ibtissem, Amina Kessentini, Mohamed Ali Ben Ayed, and Nouri Masmoudi. "Early depth partitioning determination algorithm for SHVC encoding standard." In 2017 18th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). IEEE, 2017. http://dx.doi.org/10.1109/sta.2017.8314923.

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Zongju Peng, Mei Yu, Gangyi Jiang, Yuehou Si, and Fen Chen. "Virtual view synthesis oriented fast depth video encoding algorithm." In 2010 2nd International Conference on Industrial and Information Systems (IIS 2010). IEEE, 2010. http://dx.doi.org/10.1109/indusis.2010.5565875.

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Kum, Sang-Uok, and Ketan Mayer-Patel. "Reference Stream Selection for Multiple Depth Stream Encoding." In Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06). IEEE, 2006. http://dx.doi.org/10.1109/3dpvt.2006.117.

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Guo, Mingsong, Fen Chen, Chengkai Sheng, Zongju Peng, and Gangyi Jiang. "A depth video processing algorithm for high encoding and rendering performance." In SPIE/COS Photonics Asia, edited by Qionghai Dai and Tsutomu Shimura. SPIE, 2014. http://dx.doi.org/10.1117/12.2073478.

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Reports on the topic "Depth data encoding algorithm"

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O'Neill, Francis, Kristofer Lasko, and Elena Sava. Snow-covered region improvements to a support vector machine-based semi-automated land cover mapping decision support tool. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45842.

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This work builds on the original semi-automated land cover mapping algorithm and quantifies improvements to class accuracy, analyzes the results, and conducts a more in-depth accuracy assessment in conjunction with test sites and the National Land Cover Database (NLCD). This algorithm uses support vector machines trained on data collected across the continental United States to generate a pre-trained model for inclusion into a decision support tool within ArcGIS Pro. Version 2 includes an additional snow cover class and accounts for snow cover effects within the other land cover classes. Overa
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Chapman, Ray, Phu Luong, Sung-Chan Kim, and Earl Hayter. Development of three-dimensional wetting and drying algorithm for the Geophysical Scale Transport Multi-Block Hydrodynamic Sediment and Water Quality Transport Modeling System (GSMB). Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41085.

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The Environmental Laboratory (EL) and the Coastal and Hydraulics Laboratory (CHL) have jointly completed a number of large-scale hydrodynamic, sediment and water quality transport studies. EL and CHL have successfully executed these studies utilizing the Geophysical Scale Transport Modeling System (GSMB). The model framework of GSMB is composed of multiple process models as shown in Figure 1. Figure 1 shows that the United States Army Corps of Engineers (USACE) accepted wave, hydrodynamic, sediment and water quality transport models are directly and indirectly linked within the GSMB framework.
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Striuk, Andrii, Olena Rybalchenko, and Svitlana Bilashenko. Development and Using of a Virtual Laboratory to Study the Graph Algorithms for Bachelors of Software Engineering. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4462.

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The paper presents an analysis of the importance of studying graph algorithms, the reasons for the need to implement this project and its subsequent use. The existing analogues analysis is carried out, due to which a list of advantages and disadvantages is formed and taken into account in developing the virtual laboratory. A web application is created that clearly illustrates the work of graph algorithms, such as Depth-First Search, Dijkstra’s Shortest Path, Floyd- Warshall, Kruskal Minimum Cost Spanning Tree Algorithm. A simple and user- friendly interface is developed and it is supported by
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Tipton, Kelley, Brian F. Leas, Emilia Flores, et al. Impact of Healthcare Algorithms on Racial and Ethnic Disparities in Health and Healthcare. Agency for Healthcare Research and Quality (AHRQ), 2023. http://dx.doi.org/10.23970/ahrqepccer268.

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Objectives. To examine the evidence on whether and how healthcare algorithms (including algorithm-informed decision tools) exacerbate, perpetuate, or reduce racial and ethnic disparities in access to healthcare, quality of care, and health outcomes, and examine strategies that mitigate racial and ethnic bias in the development and use of algorithms. Data sources. We searched published and grey literature for relevant studies published between January 2011 and February 2023. Based on expert guidance, we determined that earlier articles are unlikely to reflect current algorithms. We also hand-se
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Chamovitz, Daniel A., and Xing-Wang Deng. Developmental Regulation and Light Signal Transduction in Plants: The Fus5 Subunit of the Cop9 Signalosome. United States Department of Agriculture, 2003. http://dx.doi.org/10.32747/2003.7586531.bard.

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Plants adjust their growth and development in a manner optimal for the prevailing light conditions. The molecular mechanisms by which light signals are transduced and integrated with other environmental and developmental signals are an area of intense research. (Batschauer, 1999; Quail, 2002) One paradigm emerging from this work is the interconnectedness of discrete physiological responses at the biochemical level, for instance, between auxin and light signaling (Colon-Carmona et al., 2000; Schwechheimer and Deng, 2001; Tian and Reed, 1999) and between light signaling and plant pathogen intera
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Rémy, Elisabeth, Romain Escudier, and Alexandre Mignot. Access impact of observations. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d4.8.

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The accuracy of the Copernicus Marine Environment and Monitoring Service (CMEMS) ocean analysis and forecasts highly depend on the availability and quality of observations to be assimilated. In situ observations are complementary to satellite observations that are restricted to the ocean surface. Higher resolution model forecasts are required by users of the CMEMS global and regional ocean analysis and forecasts. To support this with an efficient observational constrain of the model forecast via data assimilation, an increase observation coverage is needed, associated with an improved usage of
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