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Relevant bibliographies by topics / Accelerated search system

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Academic literature on the topic 'Accelerated search system'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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Journal articles on the topic "Accelerated search system"

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Dam, Hai Huyen, and Sven Nordholm. "Accelerated Conjugate Gradient for Second-Order Blind Signal Separation." Acoustics 4, no. 4 (2022): 948–57. http://dx.doi.org/10.3390/acoustics4040058.

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This paper proposes a new adaptive algorithm for the second-order blind signal separation (BSS) problem with convolutive mixtures by utilising a combination of an accelerated gradient and a conjugate gradient method. For each iteration of the adaptive algorithm, the search point and the search direction are obtained based on the current and the previous iterations. The algorithm efficiently calculates the step size for the accelerated conjugate gradient algorithm in each iteration. Simulation results show that the proposed accelerated conjugate gradient algorithm with optimal step size converg

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Ibarra-Hernández, Wilfredo, Samad Hajinazar, Guillermo Avendaño-Franco, Alejandro Bautista-Hernández, Aleksey N. Kolmogorov, and Aldo H. Romero. "Structural search for stable Mg–Ca alloys accelerated with a neural network interatomic model." Physical Chemistry Chemical Physics 20, no. 43 (2018): 27545–57. http://dx.doi.org/10.1039/c8cp05314f.

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PACHECO BAUTISTA, D., R. CARREÑO AGUILERA, E. CORTÉS PÉREZ, et al. "NONLINEAR FM INDEX APPLICATION FOR ALIGNMENT OF SHORT DNA SEQUENCES USING RE-PARAMETRIZATION OF ALGORITHMS." Fractals 26, no. 03 (2018): 1850023. http://dx.doi.org/10.1142/s0218348x18500238.

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An innovative reconfiguration application is proposed to re-calculate the parameters of the Ferragina and Manzini exact search algorithm (or FM indexes), using a modular and efficient hardware implementation to accelerate alignment programs of short DNA sequence reads. Although these programs use multi-core execution strategies or multiple computers, they have become slow considering the very high speed at which the new massively parallel sequencing machines produce the reads to be aligned. Consequently, a search for different ways to accelerate the alignment is crucial. The proposed design ru

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Liu, Qin, Yun Lian Liu, Min Luo, Cong Peng, and Xuan Xiao. "A Blockchain-Based Normalized Searchable Encryption System for Medical Data." Security and Communication Networks 2022 (August 23, 2022): 1–15. http://dx.doi.org/10.1155/2022/9780188.

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As COVID-19 continues to spread around the world, the healthcare industry has accelerated the transformation to digital healthcare services. In the era of big data, many hospitals prefer to use remote cloud servers to store and manage massive electronic medical data. However, cloud-assisted medical data systems cannot guarantee the confidentiality, integrity, and availability of data. Searchable encryption can effectively address the above challenges by enabling data search on the ciphertext, which achieves the availability of medical data while ensuring data security and privacy. However, the

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Obinna, Wisdom Kelechi, and Mfoniso James Udo. "Improving online Real Estate Management System using data analytics." Journal of Emerging Technologies 2, no. 2 (2022): 66–75. http://dx.doi.org/10.57040/jet.v2i2.207.

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As technology advances, every industrial sector has continued to innovate and scale. Several property technologies have fast-tracked nominal developments and accelerated growth in the Real Estate market. Real Estate markets in developing countries have endured challenges and issues emanating from various areas such as management, trust, sales, and infotech, many more. This paper aims to implement a model of the online Real Estate Service system via a responsive web application using data analytics and visualization techniques that show insights and improve decision making based on user data. T

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Mitchell, A. M. W., G. P. Rowell, S. Celli, and S. Einecke. "Using interstellar clouds to search for Galactic PeVatrons: gamma-ray signatures from supernova remnants." Monthly Notices of the Royal Astronomical Society 503, no. 3 (2021): 3522–39. http://dx.doi.org/10.1093/mnras/stab667.

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ABSTRACT Interstellar clouds can act as target material for hadronic cosmic rays; gamma rays subsequently produced through inelastic proton–proton collisions and spatially associated with such clouds can provide a key indicator of efficient particle acceleration. However, even in the case that particle acceleration proceeds up to PeV energies, the system of accelerator and nearby target material must fulfil a specific set of conditions in order to produce a detectable gamma-ray flux. In this study, we rigorously characterize the necessary properties of both cloud and accelerator. By using avai

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Lei, Guoping, Chang Yan, Li Cai, et al. "IGWO-VINC Algorithm Applied to MPPT Strategy for PV System." International Journal of Photoenergy 2024 (May 27, 2024): 1–16. http://dx.doi.org/10.1155/2024/1664320.

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As a kind of inexhaustible renewable energy, solar energy is popular, and photovoltaic power generation has been paid attention to by all circles. However, determining the global maximum power point (GMPP) is difficult under external ambient temperature and light intensity change, and MPPT control technology becomes the key to research. Fast, accurate, and stable GMPP capture has become a hot research problem in PV power generation systems. The GWO algorithm incorporating the Levy flight function and the INC using the vertex as the dividing point with different step sizes on the left and right

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Karamahmut Mermer, Nevin, Fatos Hatipoglu, Dilber Uludag, and Ece Unlu Pinar. "The Effect of Al2(SO4)3 on Compressive Strength in SLU Based on Ternary Binder System." Acta Chimica Slovenica 72, no. 1 (2025): 15–23. https://doi.org/10.17344/acsi.2023.8115.

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The early flexural and compressive strengths of fast setting self-levelling underlayment (SLU) formulations based on a ternary system can be severely affected by the selection of accelerator, its quantity, and chemistry. Besides design complexity, it is predicted that the current lithium resources will not be sufficient to meet the increasing demands from other markets and lithium prices are expected to increase. It is necessary to search for a new raw material that gives the same performance to prevent the possibility of a supply shortage in the construction sector. In this study, ternary sys

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Hoffmann, Alexandre, Valérie Perrier, and Sergei Grudinin. "A novel fast Fourier transform accelerated off-grid exhaustive search method for cryo-electron microscopy fitting." Journal of Applied Crystallography 50, no. 4 (2017): 1036–47. http://dx.doi.org/10.1107/s1600576717008172.

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This paper presents a novel fast Fourier transform (FFT)-based exhaustive search method extended to off-grid translational and rotational degrees of freedom. The method combines the advantages of the FFT-based exhaustive search, which samples all the conformations of a system under study on a grid, with a local optimization technique that guarantees to find the nearest optimal off-grid conformation. The method is demonstrated on a fitting problem and can be readily applied to a docking problem. The algorithm first samples a scoring function on a six-dimensional grid of sizeN6using the FFT. Thi

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Akhmirov, Rauf, Dina Mitiureva, Maria Zaichenko, Kirill Smirnov, and Olga Sysoeva. "The Role of the Serotonergic System in Time Perception: A Systematic Review." International Journal of Molecular Sciences 25, no. 24 (2024): 13305. https://doi.org/10.3390/ijms252413305.

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Time perception is a fundamental cognitive function essential for adaptive behavior and shared across species. The neural mechanisms underlying time perception, particularly its neuromodulation, remain debated. In this review, we examined the role of the serotonergic system in time perception (at the scale of seconds and minutes), building a translational bridge between human and non-human animal studies. The literature search was conducted according to the PRISMA statement in PubMed, APA PsycINFO, and APA PsycARTICLES. Sixty papers were selected for full-text review, encompassing both human (

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Dissertations / Theses on the topic "Accelerated search system"

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Маслова, Зоя Іванівна, Зоя Ивановна Маслова, Zoia Ivanivna Maslova та В. С. Коваленко. "Програмне забезпечення рекомендаційної системи прискореного пошуку". Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/9815.

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Dodge, Christopher J. "A fast Fourier Transform accelerator for a transputer system." Thesis, University of Aberdeen, 1993. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU554537.

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Multiple Instruction, Multiple Data (MIMD) networks can produce scalable processing power for a wide variety of image computing applications. For certain tasks however, data-distribution bottlenecks reduce the maximum achievable performance gain. Digital Signal Processing (DSP) technology is capable of high performance from a single processor, thus avoiding some of the data communication problems associated with multi-processor systems. Nevertheless, many practical applications require the incorporation of processing primitives provided by single computational elements, such as DSP, within a m

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Books on the topic "Accelerated search system"

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Schiller, Dan. The Sponsor System Resurgent. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252038761.003.0008.

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This chapter discusses the modernization of the sponsor system. It first considers how advertising sustained and deepened its role as a primary source of finance for digital services, even as it continued its voracious and uneven globalization. It then examines how advertisers accelerated their drive to revamp communications commodity chains, along with issues that arose from Google's entanglement in a larger set of commercial relationships and its impact on the political economy of the commodity chain within which search is embedded. The chapter also looks at the politics of privacy, with par

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Book chapters on the topic "Accelerated search system"

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Papathomas, Evangelos, Themistoklis Diamantopoulos, and Andreas Symeonidis. "Semantic Code Search in Software Repositories using Neural Machine Translation." In Fundamental Approaches to Software Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99429-7_13.

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AbstractNowadays, software development is accelerated through the reuse of code snippets found online in question-answering platforms and software repositories. In order to be efficient, this process requires forming an appropriate query and identifying the most suitable code snippet, which can sometimes be challenging and particularly time-consuming. Over the last years, several code recommendation systems have been developed to offer a solution to this problem. Nevertheless, most of them recommend API calls or sequences instead of reusable code snippets. Furthermore, they do not employ archi

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Osama, Muhammad, Anton Wijs, and Armin Biere. "SAT Solving with GPU Accelerated Inprocessing." In Tools and Algorithms for the Construction and Analysis of Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72016-2_8.

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AbstractSince 2013, the leading SAT solvers in the SAT competition all use inprocessing, which unlike preprocessing, interleaves search with simplifications. However, applying inprocessing frequently can still be a bottle neck, i.e., for hard or large formulas. In this work, we introduce the first attempt to parallelize inprocessing on GPU architectures. As memory is a scarce resource in GPUs, we present new space-efficient data structures and devise a data-parallel garbage collector. It runs in parallel on the GPU to reduce memory consumption and improves memory access locality. Our new paral

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Tsuihiji, Kyohei, and Toshiyuki Amagasa. "GPU-Accelerated Reverse K-Nearest Neighbor Search for High-Dimensional Data." In Lecture Notes in Networks and Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14314-4_28.

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Kumar, Manoj, and Pinaki Mitra. "Solving Quadratic Assignment Problem Using Crow Search Algorithm in Accelerated Systems." In Communications in Computer and Information Science. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6318-8_24.

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Randeni Kadupitige, Sidath, and Uwe Röhm. "Using SIMD Instructions to Accelerate Sequence Similarity Searches Inside a Database System." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92013-9_7.

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Xia, Yechuan, Anna Becchi, Alessandro Cimatti, Alberto Griggio, Jianwen Li, and Geguang Pu. "Searching for i-Good Lemmas to Accelerate Safety Model Checking." In Computer Aided Verification. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37703-7_14.

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Abstract/ and its variants have been the prominent approaches to safety model checking in recent years. Compared to the previous model-checking algorithms like (Bounded Model Checking) and (Interpolation Model Checking), / is attractive due to its completeness (vs. ) and scalability (vs. ). / maintains an over-approximate state sequence for proving the correctness. Although the sequence refinement methodology is known to be crucial for performance, the literature lacks a systematic analysis of the problem. We propose an approach based on the definition of i- good lemmas, and the introduction o

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Mordovtsev, Oleksandr, Oksana Dmytriieva, Inna Shevchenko, Anton Kholodov, and Yerik Nugman. "Implementation of innovative mechanisms to ensuring economic growth of regions based on the development of transport infrastructure." In STRATEGIC-ORIENTED MANAGEMENT OF THE TRANSPORT INDUSTRY: LOGISTICS APPROACHES, INNOVATIVE SOLUTIONS AND MANAGEMENT MODELS. TECHNOLOGY CENTER PC, 2025. https://doi.org/10.15587/978-617-8360-14-6.ch3.

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The destabilization of the geopolitical, socio-economic and security situation in the world has exacerbated the issue of sustainable development of regional economies and deepening their interaction. Ensuring the growth of the national economy as a whole and individual regions in particular makes the search for mechanisms aimed specifically at internal sources relevant. Spatial development is gaining particular importance due to the increasing role of transport infrastructure in ensuring the economic growth of regions. The socio-economic heterogeneity of regional systems plays a decisive role

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Takagi Toyokazu and Maruyama Tsutomu. "Accelerating HMMER search using FPGA Grid." In Advances in Parallel Computing. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-041-3-587.

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HMMER is one of the most used software tools for sensitive profile HMM searches of biological sequence databases. HMMER can be accelerated by comparing a profile HMM with sequences in parallel using a CPU grid. HMMER is, however, still a cpu-intensive program. The search on each node on the grid can be further accelerated by using dedicated hardware. In this paper, we describe an approach for accelerating HMMER search using an FPGA grid. In our system, two prototype circuits which share the same basic processing units are prepared in advance, and the circuit for each size FPGA is generated fro

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Tsoromokos Dimitrios, Tsaloukidis Nikolaos, Dermatis Zacharias, Gozadinos Filippos, and Lazakidou Athina. "Design of an Innovative Information System for the Intensive Care Unit in a Public Hospital." In Studies in Health Technology and Informatics. IOS Press, 2016. https://doi.org/10.3233/978-1-61499-664-4-157.

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The health sector is increasingly focused on the use of Communication Technology (ICT) Information and Communication. New technologies which introduced in health, should lead to lower cost of procedures, saving employees' working time and immediate and secure data storages for easy future search or meta-analysis. The DPP4ICU application which presented in this document, allows at the Intensive Care Unit's nurses (ICU) to enter directly the handwritten accountability, in the Organization Information System. Through this application is accelerated the proper completion of a document and is impro

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Dadykin, Aliaksei. "Concept of a Management System for the Formation of Adult Language Skills on the Example of English." In E-Service [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96926.

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The relevance of the research topic is determined by the need to create a new technology for applying the most effective methods of forming speech skills of foreign language proficiency in adults. The research is interdisciplinary and is located at the intersection of psychology, pedagogy, linguistics, information technology and systems analysis. The goal is to implement a visual approach in an electronic educational environment to accelerate the acquisition of a new language by adults. The peculiarity of the approach is the logical relationship of the entire language system, time-saving learn

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Conference papers on the topic "Accelerated search system"

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N, Tejas B., and Madhav Rao. "FPGA Accelerated Beetle Antenna Search Derived Filter Design." In 2024 31st IEEE International Conference on Electronics, Circuits and Systems (ICECS). IEEE, 2024. https://doi.org/10.1109/icecs61496.2024.10848624.

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Smith, James P., Ian H. Gilbert, Roger W. Kidder, and Syamsudin. "Inhibition of CO2 Corrosion in Multiphase Flow and Solids Production A Case History." In CORROSION 2001. NACE International, 2001. https://doi.org/10.5006/c2001-01029.

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Abstract Variability in corrosion rates, 0.1 to 10 mm/year, observed in an electrical submersible pump driven subsea pipeline system culminated in a search for a corrosion inhibitor and treatment program that successfully controls the cumulative impact of multiple types of flow and produced solids. The problems arising from these causative factors are further exacerbated by depleting sands that produce increasing CO2 mole fraction, often denoted by an increasing gas oil ratio, coupled with increasing water cuts. These factors act synergistically with multiphase flow corrosion to accelerate dam

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Tian, Yuhe, Ayooluwa Akintola, Yazhou Jiang, et al. "Reinforcement Learning-Driven Process Design: A Hydrodealkylation Example." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.119603.

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In this work, we present a follow-up work of reinforcement learning (RL)-driven process design using the Institute for Design of Advanced Energy Systems Process Systems Engineering (IDAES-PSE) Framework. Herein, process designs are generated as stream inlet-outlet matrices and optimized using the IDAES platform, the objective function value of which is the reward to RL agent. Deep Q-Network is employed as the RL agent including a series of convolutional neural network layers and fully connected layers to compute the actions of adding or removing any stream connections, thus creating a new proc

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Chen, Yuliang, Yidi Li, and Binyi Dai. "Application of ‘4+1+1' Short-line Precast Segmental Technology in Macau C390B." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.0645.

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<p>Macau C390B-Seac Pai Van Line, as an urban rail, is located in a highly developed urban area (Macau, China), which has a very high demand for rapid construction, green environment, as well as smallest influence on traffic and residents. Under the background of Chinese strategic goal of ",dual carbon", and Chinese high-quality development, as well as a varied of challenges of the project, Accelerated Bridge Construction with two advanced and innovative technologies, the short-line precast segmental method and continuous rigid bridge frame systems without bearings, is assumed as the bes

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Braniff, Austin, Fengqi You, and Yuhe Tian. "Enhanced Reinforcement Learning-driven Process Design via Quantum Machine Learning." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.149501.

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In this work, we introduce a quantum-enhanced reinforcement learning (RL) framework for process design synthesis. RL-driven methods for generating process designs have gained momentum due to their ability to intelligently identify optimal configurations without requiring pre-defined superstructures or flowsheet configurations. This eliminates reliance on prior expert knowledge, offering a comprehensive and robust design strategy. However, navigating the vast combinatorial design space poses computational challenges. To address this, a novel approach integrating RL with quantum machine learning

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Hacibeyoglu, Mehmet, and Ahmet Arslan. "Reinforcement learning accelerated with artificial neural network for maze and search problems." In 2010 3rd International Conference on Human System Interactions (HSI). IEEE, 2010. http://dx.doi.org/10.1109/hsi.2010.5514579.

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Camarillo-Penaranda, Juan Ramon, Daniel Gonzalez Montoya, and Carlos Andres Ramos-Paja. "Reconfiguration of Photovoltaic Arrays Based on a GPU-Accelerated Exhaustive Search Algorithm." In 2015 Asia-Pacific Conference on Computer-Aided System Engineering (APCASE). IEEE, 2015. http://dx.doi.org/10.1109/apcase.2015.58.

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Matsumura, Hidetoshi, Masahiko Sugimura, Hironobu Yamasaki, Yasumoto Tomita, Takayuki Baba, and Yasuhiro Watanabe. "An FPGA-accelerated partial duplicate image retrieval engine for a document search system." In 2016 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2016. http://dx.doi.org/10.1109/wacv.2016.7477662.

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Morris, C. E., M. A. Richards, and M. H. Hayes. "An Iterative Deconvolution Algorithm with Exponential Convergence." In Signal Recovery and Synthesis. Optica Publishing Group, 1986. http://dx.doi.org/10.1364/srs.1986.fb2.

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Iterative deconvolution is an established technique for recovering the input sequence of a linear shift-invariant system given the output sequence and some knowledge about the distorting system [1]. Since the standard approach to iterative deconvolution has a linear convergence rate, some authors have proposed techniques such as gradient search methods [2,3] and kernel splitting [4] to increase the rate of convergence. These methods, however, are either computationally expensive or do not achieve a substantial gain in convergence rate. In this paper we describe an accelerated iterative algorit

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Nováková, Mária, and Silvia Capíková. "PREPARING SCHOOL GRADUATES FOR THE LABOUR MARKET." In Fourth International Scientific Conference ITEMA Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/itema.2020.177.

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Despite their determination to work and build their careers, school graduates are not sufficiently prepared to look for work and the opportunities to search a job. In most cases they are well prepared in theory and language and are literate in modern technologies. Their biggest handicap is the lack of practical skills and work experience. At the same time, graduates have to face the challenges of accelerated globalization and digitization. It is necessary to find answers to questions about what professional knowledge, practical skills, attitudes and values will be shaped by today's graduates a

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Reports on the topic "Accelerated search system"

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Asari, Vijayan, Paheding Sidike, Binu Nair, Saibabu Arigela, Varun Santhaseelan, and Chen Cui. PR-433-133700-R01 Pipeline Right-of-Way Automated Threat Detection by Advanced Image Analysis. Pipeline Research Council International, Inc. (PRCI), 2015. http://dx.doi.org/10.55274/r0010891.

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A novel algorithmic framework for the robust detection and classification of machinery threats and other potentially harmful objects intruding onto a pipeline right-of-way (ROW) is designed from three perspectives: visibility improvement, context-based segmentation, and object recognition/classification. In the first part of the framework, an adaptive image enhancement algorithm is utilized to improve the visibility of aerial imagery to aid in threat detection. In this technique, a nonlinear transfer function is developed to enhance the processing of aerial imagery with extremely non-uniform l

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