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Journal articles on the topic 'Sequential processing (Computer science)'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 August 2024

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1

Carmesin, H. O., and H. Schwegler. "Parallel versus sequential processing of relational stimulus structures." Biological Cybernetics 71, no. 6 (October 1994): 523–29. http://dx.doi.org/10.1007/bf00198470.

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Carmesin, H. O., and H. Schwegler. "Parallel versus sequential processing of relational stimulus structures." Biological Cybernetics 71, no. 6 (October 1, 1994): 523–29. http://dx.doi.org/10.1007/s004220050111.

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3

Lee, Yong-Joo, and Paul Zipkin. "Processing Networks with Inventories: Sequential Refinement Systems." Operations Research 43, no. 6 (December 1995): 1025–36. http://dx.doi.org/10.1287/opre.43.6.1025.

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4

Korde, P. S., and P. B. Khanale. "Cache Oblivious Matrix Multiplication Algorithm using Sequential Access Processing." Research Journal of Information Technology 3, no. 1 (January 1, 2011): 61–67. http://dx.doi.org/10.3923/rjit.2011.61.67.

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5

Sharma, Shalini, and Angshul Majumdar. "Sequential Transform Learning." ACM Transactions on Knowledge Discovery from Data 15, no. 5 (June 26, 2021): 1–18. http://dx.doi.org/10.1145/3447394.

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This work proposes a new approach for dynamical modeling; we call it sequential transform learning. This is loosely based on the transform (analysis dictionary) learning formulation. This is the first work on this topic. Transform learning, was originally developed for static problems; we modify it to model dynamical systems by introducing a feedback loop. The learnt transform coefficients for the t th instant are fed back along with the t + 1st sample, thereby establishing a Markovian relationship. Furthermore, the formulation is made supervised by the label consistency cost. Our approach kee

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LeBron Paige, A., Ö. Özdamar, and R. E. Delgado. "Two-dimensional spectral processing of sequential evoked potentials." Medical & Biological Engineering & Computing 34, no. 3 (May 1996): 239–43. http://dx.doi.org/10.1007/bf02520080.

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7

ROBERGE, VINCENT, and MOHAMMED TARBOUCHI. "COMPARISON OF PARALLEL PARTICLE SWARM OPTIMIZERS FOR GRAPHICAL PROCESSING UNITS AND MULTICORE PROCESSORS." International Journal of Computational Intelligence and Applications 12, no. 01 (March 2013): 1350006. http://dx.doi.org/10.1142/s1469026813500065.

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In this paper, we present a parallel implementation of the particle swarm optimization (PSO) on graphical processing units (GPU) using CUDA. By fully utilizing the processing power of graphic processors, our implementation (CUDA-PSO) provides a speedup of 167× compared to a sequential implementation on CPU. This speedup is significantly superior to what has been reported in recent papers and is achieved by four optimizations we made to better adapt the parallel algorithm to the specific architecture of the NVIDIA GPU. However, because today's personal computers are usually equipped with a mult

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Zhuo, Youwei, Jingji Chen, Gengyu Rao, Qinyi Luo, Yanzhi Wang, Hailong Yang, Depei Qian, and Xuehai Qian. "Distributed Graph Processing System and Processing-in-memory Architecture with Precise Loop-carried Dependency Guarantee." ACM Transactions on Computer Systems 37, no. 1-4 (June 2021): 1–37. http://dx.doi.org/10.1145/3453681.

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To hide the complexity of the underlying system, graph processing frameworks ask programmers to specify graph computations in user-defined functions (UDFs) of graph-oriented programming model. Due to the nature of distributed execution, current frameworks cannot precisely enforce the semantics of UDFs, leading to unnecessary computation and communication. It exemplifies a gap between programming model and runtime execution. This article proposes novel graph processing frameworks for distributed system and Processing-in-memory (PIM) architecture that precisely enforces loop-carried dependency;

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CHANG, C. Y., and K. YAO. "SYSTOLIC ARRAY PROCESSING OF THE SEQUENTIAL DECODING ALGORITHM." International Journal of High Speed Computing 01, no. 03 (September 1989): 465–80. http://dx.doi.org/10.1142/s0129053389000251.

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10

KRITHIVASAN, KAMALA, N. SAKTHI BALAN, and PRAHLADH HARSHA. "DISTRIBUTED PROCESSING IN AUTOMATA." International Journal of Foundations of Computer Science 10, no. 04 (December 1999): 443–63. http://dx.doi.org/10.1142/s0129054199000319.

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With distributed computing beginning to play a major role in modern Computer Science, the theory of grammar systems and distributed automata has been developed in order to model distributed computing. In this paper, we introduce the notion of distributed automata in the sequential sense. Distributed Automata are a group of automata working in unison to accept one language. We build the theory of distributed for FSA and PDA in different modes of acceptance like the t-mode, *-mode, =k-mode, ≤k-mode and ≥k-mode. We then analyze the acceptance power of each automata in all the above modes. We pres

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11

Ha, Ok-Kyoon, Keonpyo Lee, Wan-Jin Kim, and Kun Su Yoon. "Effective Parallelization Method for Object Recognition in 2D Sonar Images Based on Task Partitioning." Scientific Programming 2019 (March 3, 2019): 1–9. http://dx.doi.org/10.1155/2019/8908950.

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Techniques for analyzing and avoiding hazardous objects and situations on the seabed are being developed to ensure the safety of ships and submersibles from various hazards. Improvements in accuracy and real-time response are critical for underwater object recognition, which rely on underwater sonar detection to remove noises and analyze the data. Therefore, parallel processing is being introduced for real-time processing of two-dimensional (2D) underwater sonar detector images for seabed monitoring. However, this requires optimized parallel processing between the modules for image processing

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12

Lee, Min-Seong, Jee-Tae Park, Ui-Jun Baek, Jung-woo Choi, Chang-Yui Shin, and Myung-Sup Kim. "Deep Learning-Based Traffic Classification Speed Improvement Through Sequential Data Processing." Journal of Korean Institute of Communications and Information Sciences 47, no. 12 (December 31, 2022): 2096–103. http://dx.doi.org/10.7840/kics.2022.47.12.2096.

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13

Itai, Alon, and Yoav Raz. "The number of buffers required for sequential processing of a disk file." Communications of the ACM 31, no. 11 (November 1988): 1338–42. http://dx.doi.org/10.1145/50087.50095.

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14

Frank, Stefan L., Rens Bod, and Morten H. Christiansen. "How hierarchical is language use?" Proceedings of the Royal Society B: Biological Sciences 279, no. 1747 (September 12, 2012): 4522–31. http://dx.doi.org/10.1098/rspb.2012.1741.

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It is generally assumed that hierarchical phrase structure plays a central role in human language. However, considerations of simplicity and evolutionary continuity suggest that hierarchical structure should not be invoked too hastily. Indeed, recent neurophysiological, behavioural and computational studies show that sequential sentence structure has considerable explanatory power and that hierarchical processing is often not involved. In this paper, we review evidence from the recent literature supporting the hypothesis that sequential structure may be fundamental to the comprehension, produc

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15

Oba, Takanobu, Takaaki Hori, and Atsushi Nakamura. "Sequential dependency analysis for online spontaneous speech processing." Speech Communication 50, no. 7 (July 2008): 616–25. http://dx.doi.org/10.1016/j.specom.2008.04.008.

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16

Cachin, Christian, Idit Keidar, and Alexander Shraer. "Fork sequential consistency is blocking." Information Processing Letters 109, no. 7 (March 2009): 360–64. http://dx.doi.org/10.1016/j.ipl.2008.12.004.

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17

Martin, Maria Angélica Bonadiman, Edgard Moreira Ganzarolli, Arilson Lehmkuhl, Ivan Gonçlves de Souza, and Roldão Roosevelt Urzêdo de Queiróz. "Sequential determination of free and total cyanide by flow injection." Journal of Automated Methods and Management in Chemistry 21, no. 1 (1999): 23–26. http://dx.doi.org/10.1155/s1463924699000048.

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This study presents a flow injection system for the sequential determination of free (CN-) and total (CN-+ HCN) cyanide using a potentiometric method which employs two different processes for the determination of these two chemical species. The first process is based on direct detection of CN-using an ion-selective electrode for cyanide. In the second process, the sample is mixed with acid, and the released HCN is transferred across a PTFE membrane. The flow system employs three solenoid valves, a gas diffusion chamber, an ion-selective electrode, a potentiometer, and a computer with an AID co

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18

Tijsseling, A. G. "Sequential Information Processing Using Time-Delay Connections in Ontogenic CALM Networks." IEEE Transactions on Neural Networks 16, no. 1 (January 2005): 145–59. http://dx.doi.org/10.1109/tnn.2004.839355.

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19

Swanda, Lilis, Ainun Mutia, and Wisnu Kurniadi. "Membuat Aplikasi Penginputan Data Siswa pada Taman Kanak Kanak Harith Foundation Berbasis AppSheet." Journal Software, Hardware and Information Technology 3, no. 1 (January 30, 2023): 16–23. http://dx.doi.org/10.24252/shift.v3i1.45.

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The development of informatics technology and science is very rapid and affects the field of information and management, especially in the field of data processing using computer technology. Computer technology is something that is highly coveted by every organization, because it will produce accurate and perfect information. The need for computers as a means of solving problems quickly and precisely cannot be denied. Currently, the Harith Foundation Kindergarten manages data. Managing Student and Student data, especially in recapitulating and filtering Student and Student data, is still using

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20

OKAMURA, HIROYUKI, KAZUKI IWAMOTO, and TADASHI DOHI. "A DP-BASED CHECKPOINTING SCHEME IN REAL-TIME APPLICATIONS." International Journal of Reliability, Quality and Safety Engineering 13, no. 04 (August 2006): 323–40. http://dx.doi.org/10.1142/s0218539306002288.

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In this paper, we consider computation algorithms for checkpoint placement in real-time applications. Under the condition that the processing time is bounded by a time limit, we derive sequentially the optimal checkpoint time based on the dynamic programming. In numerical examples, we examine the dependence of optimal checkpoint sequence on both failure time and processing time distributions, and investigate the effectiveness of sequential checkpoint placement.

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21

Broy, Manfred. "Denotational semantics of communicating sequential programs." Information Processing Letters 23, no. 5 (November 1986): 253–59. http://dx.doi.org/10.1016/0020-0190(86)90082-7.

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22

Manolopoulos, Yannis. "Batched search of index sequential files." Information Processing Letters 22, no. 5 (April 1986): 267–72. http://dx.doi.org/10.1016/0020-0190(86)90105-5.

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23

Sezgin, Ali, and Ganesh Gopalakrishnan. "On the definition of sequential consistency." Information Processing Letters 96, no. 6 (December 2005): 193–96. http://dx.doi.org/10.1016/j.ipl.2005.09.002.

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24

Seinstra, F. J., and D. Koelma. "User transparency: a fully sequential programming model for efficient data parallel image processing." Concurrency and Computation: Practice and Experience 16, no. 6 (April 2, 2004): 611–44. http://dx.doi.org/10.1002/cpe.765.

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25

Zahoor, Saniya, and Roohie Naaz Mir. "A Parallelization based Data Management Framework for Pervasive IoT Applications." Scalable Computing: Practice and Experience 21, no. 3 (August 1, 2020): 463–77. http://dx.doi.org/10.12694/scpe.v21i3.1746.

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Pervasive Internet of Things (IoT) is a research paradigm that has attracted considerable attention nowadays. The main aim of pervasive IoT is that in the future, the everyday objects (devices) would be accessible, sensed, and interconnected inside the global structure of the Internet. But in most of the pervasive IoT applications, the resources of an IoT device such as storage, processing, and energy are limited; as such there is a need for management of resources in such applications. Multiple aspects related to the data such as the type of data, size of data, number of transmission and rece

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26

Meng, Lingyan, and Bingtao Zhang. "Evaluation of Private Enterprises Based on Deep Learning." Mobile Information Systems 2022 (September 27, 2022): 1–9. http://dx.doi.org/10.1155/2022/8593669.

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In this paper, we conduct an in-depth research on the corresponding enterprises, combined with some problems existing in the process of data processing and use. We establish a deep learning model on the extensive collection and comprehensive investigation of the research results of domestic and foreign enterprises in all aspects of the process of data processing and use, and determine the research directions. Firstly, in view of the increasing complexity and dimension of enterprise data, and the difficulties of enterprise data application, this paper studies the related data preprocessing meth

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27

Wang, Yongheng, Xiaozan Zhang, and Zengwang Wang. "A Proactive Decision Support System for Online Event Streams." International Journal of Information Technology & Decision Making 17, no. 06 (November 2018): 1891–913. http://dx.doi.org/10.1142/s0219622018500463.

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In-stream big data processing is an important part of big data processing. Proactive decision support systems can predict future system states and execute some actions to avoid unwanted states. In this paper, we propose a proactive decision support system for online event streams. Based on Complex Event Processing (CEP) technology, this method uses structure varying dynamic Bayesian network to predict future events and system states. Different Bayesian network structures are learned and used according to different event context. A networked distributed Markov decision processes model with pred

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28

Baqer, Zainab T. "Parallel Computing for Sorting Algorithms." Baghdad Science Journal 11, no. 2 (June 1, 2014): 292–302. http://dx.doi.org/10.21123/bsj.2014.11.2.292-302.

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The expanding use of multi-processor supercomputers has made a significant impact on the speed and size of many problems. The adaptation of standard Message Passing Interface protocol (MPI) has enabled programmers to write portable and efficient codes across a wide variety of parallel architectures. Sorting is one of the most common operations performed by a computer. Because sorted data are easier to manipulate than randomly ordered data, many algorithms require sorted data. Sorting is of additional importance to parallel computing because of its close relation to the task of routing data amo

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Cruz, Henry, Martina Eckert, Juan M. Meneses, and J. F. Martínez. "Fast Evaluation of Segmentation Quality with Parallel Computing." Scientific Programming 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/5767521.

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In digital image processing and computer vision, a fairly frequent task is the performance comparison of different algorithms on enormous image databases. This task is usually time-consuming and tedious, such that any kind of tool to simplify this work is welcome. To achieve an efficient and more practical handling of a normally tedious evaluation, we implemented the automatic detection system, with the help of MATLAB®’s Parallel Computing Toolbox™. The key parts of the system have been parallelized to achieve simultaneous execution and analysis of segmentation algorithms on the one hand and t

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30

Vestergaard, René. "A constructive approach to sequential Nash equilibria." Information Processing Letters 97, no. 2 (January 2006): 46–51. http://dx.doi.org/10.1016/j.ipl.2005.09.010.

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31

Israeli, Amos, and Oran Sharon. "An approximation algorithm for sequential rectangle placement." Information Processing Letters 108, no. 6 (November 2008): 407–11. http://dx.doi.org/10.1016/j.ipl.2008.08.001.

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32

Duarte, Rafael, Alexandre Mota, and Augusto Sampaio. "Introducing concurrency in sequential Java via laws." Information Processing Letters 111, no. 3 (January 2011): 129–34. http://dx.doi.org/10.1016/j.ipl.2010.11.004.

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33

Szcześniak, Adam, and Zbigniew Szcześniak. "Algorithmic Method for the Design of Sequential Circuits with the Use of Logic Elements." Applied Sciences 11, no. 23 (November 23, 2021): 11100. http://dx.doi.org/10.3390/app112311100.

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This article presents issues related to the design of sequential control systems. The algorithmic design method of sequential control systems is discussed, which allows the design of a diagram of any sequential system. The algorithmic method uses the description in the form of a connection formula. The connection formula defines the order of actuations of driver elements, in this case actuators. The algorithmic method is used, among others, for systems with actuators cooperating with distributors controlled electrically on both sides. The process of creating a system graph has been characteriz

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Alamareen, Abdullah, Omar Al-Jarrah, and Inad A. Aljarrah. "Image Mosaicing Using Binary Edge Detection Algorithm in a Cloud-Computing Environment." International Journal of Information Technology and Web Engineering 11, no. 3 (July 2016): 1–14. http://dx.doi.org/10.4018/ijitwe.2016070101.

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Image Mosaicing is an image processing technique that arises from the need of having a more realistic view of the real world wider than the view captured by the lenses of the available cameras. In this paper, a sequence of images will be mosaiced using binary edge detection algorithm in a cloud-computing environment to improve processing speed and accuracy. The authors have used Platform as a Service (PaaS) to provide a number of nodes in the cloud to run the computational intensive image processing and stitching algorithms. This increased the processing speed as most of image processing algor

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Albagory, Yasser, and Fahad Alraddady. "An Efficient Approach for Sidelobe Level Reduction Based on Recursive Sequential Damping." Symmetry 13, no. 3 (March 15, 2021): 480. http://dx.doi.org/10.3390/sym13030480.

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Recently, antenna array radiation pattern synthesis and adaptation has become an essential requirement for most wireless communication systems. Therefore, this paper proposes a new recursive sidelobe level (SLL) reduction algorithm using a sidelobe sequential damping (SSD) approach based on pattern subtraction, where the sidelobes are sequentially reduced to the optimum required levels with near-symmetrical distribution. The proposed SSD algorithm is demonstrated, and its performance is analyzed, including SLL reduction and convergence behavior, mainlobe scanning, processing speed, and perform

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36

Li, Zihao, Aixin Sun, and Chenliang Li. "DiffuRec: A Diffusion Model for Sequential Recommendation." ACM Transactions on Information Systems 42, no. 3 (December 29, 2023): 1–28. http://dx.doi.org/10.1145/3631116.

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Mainstream solutions to sequential recommendation represent items with fixed vectors. These vectors have limited capability in capturing items’ latent aspects and users’ diverse preferences. As a new generative paradigm, diffusion models have achieved excellent performance in areas like computer vision and natural language processing. To our understanding, its unique merit in representation generation well fits the problem setting of sequential recommendation. In this article, we make the very first attempt to adapt the diffusion model to sequential recommendation and propose DiffuRec for item

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37

PAVEL, SANDY, and SELIM G. AKL. "EFFICIENT ALGORITHMS FOR THE EUCLIDEAN DISTANCE TRANSFORM." Parallel Processing Letters 05, no. 02 (June 1995): 205–12. http://dx.doi.org/10.1142/s0129626495000187.

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The Euclidean Distance Transform is an important computational tool for the processing of binary images, with applications in many areas such as computer vision, pattern recognition and robotics. We investigate the properties of this transform and describe an O(n2) time optimal sequential algorithm. A deterministic EREW-PRAM parallel algorithm which runs in O( log n) time using O(n2) processors and O(n2) space is also derived. Further, a cost optimal randomized parallel algorithm which runs within the same time bounds with high probability, is given.

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Ivaschenko, Anton, Sergey Maslennikov, Anastasia Stolbova, and Oleg Golovnin. "Multi-Layer Data Model of a Complex Transportation Network." International Journal of Embedded and Real-Time Communication Systems 12, no. 2 (April 2021): 21–36. http://dx.doi.org/10.4018/ijertcs.2021040102.

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The paper presents an original multi-layer data model for software solutions to be used in transportation logistics. Versus the known technologies of data formalization based on their classification by similarity and conceptual consistency, there is proposed a new approach of information adaptive management oriented to application of parallel computing. As a basic decomposition approach, it is recommended to consider processing capacity characteristics and performance measures instead of objects and subjects classification typical for human perception. Two algorithms were proposed based on the

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39

Wang, Yu, Yuan Wang, Zhenwan Peng, Feifan Zhang, and Fei Yang. "A Concise Relation Extraction Method Based on the Fusion of Sequential and Structural Features Using ERNIE." Mathematics 11, no. 6 (March 16, 2023): 1439. http://dx.doi.org/10.3390/math11061439.

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Relation extraction, a fundamental task in natural language processing, aims to extract entity triples from unstructured data. These triples can then be used to build a knowledge graph. Recently, pre-training models that have learned prior semantic and syntactic knowledge, such as BERT and ERNIE, have enhanced the performance of relation extraction tasks. However, previous research has mainly focused on sequential or structural data alone, such as the shortest dependency path, ignoring the fact that fusing sequential and structural features may improve the classification performance. This stud

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Glass, C. A., C. N. Potts, and V. A. Strusevich. "Scheduling Batches with Sequential Job Processing for Two-Machine Flow and Open Shops." INFORMS Journal on Computing 13, no. 2 (May 2001): 120–37. http://dx.doi.org/10.1287/ijoc.13.2.120.10521.

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41

Byrne, Charles. "Sequential unconstrained minimization algorithms for constrained optimization." Inverse Problems 24, no. 1 (January 9, 2008): 015013. http://dx.doi.org/10.1088/0266-5611/24/1/015013.

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GRELCK, CLEMENS, SVEN-BODO SCHOLZ, and ALEX SHAFARENKO. "A GENTLE INTRODUCTION TO S-NET: TYPED STREAM PROCESSING AND DECLARATIVE COORDINATION OF ASYNCHRONOUS COMPONENTS." Parallel Processing Letters 18, no. 02 (June 2008): 221–37. http://dx.doi.org/10.1142/s0129626408003351.

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We present the design of S-NET, a coordination language and component technology based on stream processing. S-NET achieves a near-complete separation between application code, written in a conventional programming language, and coordination code, written in S-NET itself. S-NET boxes integrate existing sequential code as stream-processing components into streaming networks, whose construction is based on algebraic formulae built out of four network combinators. Subtyping on the level of boxes and networks and a tailor-made inheritance mechanism achieve flexible software reuse.

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Chen, Wanyu, Pengjie Ren, Fei Cai, Fei Sun, and Maarten De Rijke. "Multi-interest Diversification for End-to-end Sequential Recommendation." ACM Transactions on Information Systems 40, no. 1 (January 31, 2022): 1–30. http://dx.doi.org/10.1145/3475768.

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Sequential recommenders capture dynamic aspects of users’ interests by modeling sequential behavior. Previous studies on sequential recommendations mostly aim to identify users’ main recent interests to optimize the recommendation accuracy; they often neglect the fact that users display multiple interests over extended periods of time, which could be used to improve the diversity of lists of recommended items. Existing work related to diversified recommendation typically assumes that users’ preferences are static and depend on post-processing the candidate list of recommended items. However, t

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Wang, J., Z. Qian, and S. Liu. "Process Induced Stresses of a Flip-Chip Packaging by Sequential Processing Modeling Technique." Journal of Electronic Packaging 120, no. 3 (September 1, 1998): 309–13. http://dx.doi.org/10.1115/1.2792638.

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In this paper, a nonlinear finite element framework was established for processing mechanics modeling of flip-chip packaging assemblies and relevant layered manufacturing. In particular, topological change was considered in order to model the sequential steps during the flip-chip assembly. Geometric and material nonlinearity, which includes the viscoelastic properties of underfill and the viscoplastic properties of solder alloys, were considered. Different stress-free temperatures for different elements in the same model were used to simulate practical manufacturing process-induced thermal res

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45

Lyakhov, Pavel, Nataliya Semyonova, Nikolay Nagornov, Maxim Bergerman, and Albina Abdulsalyamova. "High-Speed Wavelet Image Processing Using the Winograd Method with Downsampling." Mathematics 11, no. 22 (November 14, 2023): 4644. http://dx.doi.org/10.3390/math11224644.

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Wavelets are actively used to solve a wide range of image processing problems in various fields of science and technology. Modern image processing systems cannot keep up with the rapid growth in digital visual information. Various approaches are used to reduce the computational complexity and increase computational speeds. The Winograd method (WM) is one of the most promising. However, this method is used to obtain sequential values. Its use for wavelet image processing requires expanding the calculation methodology to cases of downsampling. This paper proposes a new approach to reduce the com

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46

Netto, Marcelo Vaz, and Sahudy Montenegro González. "SSLC: A Search Algorithm Based on Linear Collisions and Poisson Probability Distribution." ACM Journal of Experimental Algorithmics 27 (December 31, 2022): 1–15. http://dx.doi.org/10.1145/3497876.

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This article proposes an algorithm, sequential search based on linear collisions ( SSLC ), based on Poisson probability distribution. SSLC works on large static volumes of data, whose keys are ordered and uniformly distributed. We proved that it takes a constant execution time with high probability. Experimental validation focuses on two metrics—processing time and memory resources. We compared SSLC with perfect hashing over various datasets. The experimentation reveals that our algorithm is three times faster with the use of three times fewer memory resources than perfect hashing. Its main co

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MALCHER, ANDREAS, CARLO MEREGHETTI, and BEATRICE PALANO. "SUBLINEARLY SPACE BOUNDED ITERATIVE ARRAYS." International Journal of Foundations of Computer Science 21, no. 05 (October 2010): 843–58. http://dx.doi.org/10.1142/s0129054110007581.

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Iterative arrays (IAs) are a parallel computational model with a sequential processing of the input. They are one-dimensional arrays of interacting identical deterministic finite automata. In this paper, realtime-IAs with sublinear space bounds are used to recognize formal languages. The existence of an infinite proper hierarchy of space complexity classes between logarithmic and linear space bounds is proved. Some decidability questions on logarithmically space bounded realtime-IAs are investigated, and an optimal logarithmic space lower bound for non-regular language recognition on realtime-

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48

Ring, Wolfgang, and Johannes Prix. "Sequential predictor-corrector regularization methods and their limitations." Inverse Problems 16, no. 3 (June 1, 2000): 619–33. http://dx.doi.org/10.1088/0266-5611/16/3/306.

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Schöpfer, F., and T. Schuster. "Fast regularizing sequential subspace optimization in Banach spaces." Inverse Problems 25, no. 1 (December 4, 2008): 015013. http://dx.doi.org/10.1088/0266-5611/25/1/015013.

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Son, Suhyune, Seonjeong Hwang, Sohyeun Bae, Soo Jun Park, and Jang-Hwan Choi. "A Sequential and Intensive Weighted Language Modeling Scheme for Multi-Task Learning-Based Natural Language Understanding." Applied Sciences 11, no. 7 (March 31, 2021): 3095. http://dx.doi.org/10.3390/app11073095.

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Abstract:

Multi-task learning (MTL) approaches are actively used for various natural language processing (NLP) tasks. The Multi-Task Deep Neural Network (MT-DNN) has contributed significantly to improving the performance of natural language understanding (NLU) tasks. However, one drawback is that confusion about the language representation of various tasks arises during the training of the MT-DNN model. Inspired by the internal-transfer weighting of MTL in medical imaging, we introduce a Sequential and Intensive Weighted Language Modeling (SIWLM) scheme. The SIWLM consists of two stages: (1) Sequential

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