Search Results - (automation OR (automatically OR automatically)) programming general terms algorithms

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  1. 1

    Identification of Students with Similar Performances in Micro-Learning Programming Courses with Automatically Evaluated Student Assignments by Popovych, Valerii, Drlik, Martin

    ISSN: 2076-3417, 2076-3417
    Published: Basel MDPI AG 01.05.2024
    Published in Applied sciences (01.05.2024)
    “… This study aims to identify the groups of students with similar performances in micro-learning courses focused on learning programming and uncover possible changes in the number and composition…”
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    Journal Article
  2. 2

    Automatically generating Feynman rules for improved lattice field theories by Hart, A., von Hippel, G.M., Horgan, R.R., Storoni, L.C.

    ISSN: 0021-9991, 1090-2716
    Published: Amsterdam Elsevier Inc 10.10.2005
    Published in Journal of computational physics (10.10.2005)
    “… This physically important task is, however, suitable for automation. We describe a flexible algorithm for generating Feynman rules for a wide range of lattice field theories including gluons, relativistic fermions and heavy quarks…”
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    Journal Article
  3. 3

    Automated Model Inference for Gaussian Processes: An Overview of State-of-the-Art Methods and Algorithms by Berns, Fabian, Hüwel, Jan, Beecks, Christian

    ISSN: 2661-8907, 2662-995X, 2661-8907
    Published: Singapore Springer Nature Singapore 01.07.2022
    Published in SN computer science (01.07.2022)
    “… While these default instantiations yield acceptable analytical quality in terms of model accuracy, GPM inference algorithms automatically search for an application-specific model fitting a particular dataset…”
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    Journal Article
  4. 4

    Multiobjective Sine Cosine Algorithm for Remote Sensing Image Spatial-Spectral Clustering by Wan, Yuting, Ma, Ailong, Zhang, Liangpei, Zhong, Yanfei

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Published: United States IEEE 01.10.2022
    Published in IEEE transactions on cybernetics (01.10.2022)
    “…Remote sensing image data clustering is a tough task, which involves classifying the image without any prior information. Remote sensing image clustering, in…”
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  5. 5

    A genetic programming approach to development of clinical prediction models: A case study in symptomatic cardiovascular disease by Bannister, Christian A., Halcox, Julian P., Currie, Craig J., Preece, Alun, Spasić, Irena

    ISSN: 1932-6203, 1932-6203
    Published: United States Public Library of Science 04.09.2018
    Published in PloS one (04.09.2018)
    “…Genetic programming (GP) is an evolutionary computing methodology capable of identifying complex, non-linear patterns in large data sets…”
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  6. 6

    Automatic Search-and-Replace From Examples With Coevolutionary Genetic Programming by Bartoli, Alberto, De Lorenzo, Andrea, Medvet, Eric, Tarlao, Fabiano

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Published: United States IEEE 01.05.2021
    Published in IEEE transactions on cybernetics (01.05.2021)
    “…We describe the design and implementation of a system for executing search-and-replace text processing tasks automatically, based only on examples of the desired behavior…”
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  7. 7

    Quantum programming languages by Heim, Bettina, Soeken, Mathias, Marshall, Sarah, Granade, Chris, Roetteler, Martin, Geller, Alan, Troyer, Matthias, Svore, Krysta

    ISSN: 2522-5820
    Published: London Nature Publishing Group 01.12.2020
    Published in Nature reviews physics (01.12.2020)
    “… Not only are they crucial to the programming of quantum computers at scale but also they can facilitate the discovery and development of quantum algorithms even before hardware exists that is capable of executing…”
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  8. 8

    Hamiltonian-Driven Adaptive Dynamic Programming With Approximation Errors by Yang, Yongliang, Modares, Hamidreza, Vamvoudakis, Kyriakos G., He, Wei, Xu, Cheng-Zhong, Wunsch, Donald C.

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Published: Piscataway IEEE 01.12.2022
    Published in IEEE transactions on cybernetics (01.12.2022)
    “…In this article, we consider an iterative adaptive dynamic programming (ADP) algorithm within the Hamiltonian-driven framework to solve the Hamilton-Jacobi-Bellman (HJB…”
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  9. 9

    Continuous-Time Algorithm Based on Finite-Time Consensus for Distributed Constrained Convex Optimization by Liu, Hongzhe, Zheng, Wei Xing, Yu, Wenwu

    ISSN: 0018-9286, 1558-2523
    Published: New York IEEE 01.05.2022
    Published in IEEE transactions on automatic control (01.05.2022)
    “…This article studies the convex optimization problem with general constraints, where its global objective function is composed of the sum of local objective functions…”
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  10. 10

    Temporal Parallelization of Dynamic Programming and Linear Quadratic Control by Sarkka, Simo, Garcia-Fernandez, Angel F.

    ISSN: 0018-9286, 1558-2523
    Published: New York IEEE 01.02.2023
    Published in IEEE transactions on automatic control (01.02.2023)
    “…This article proposes a general formulation for temporal parallelization of dynamic programming for optimal control problems…”
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  11. 11

    Automatic Semantic Segmentation and Classification of Remote Sensing Image Data for Flood Detection Using Novel LSTM Neural Network by Sonavale, Amruta, Chakkaravarthy, Midhun, Srinivasa Rao, Surampudi, Salleh, Hishamuddin Bin M., Jadhav, Jagannath

    ISSN: 2661-8907, 2662-995X, 2661-8907
    Published: Singapore Springer Nature Singapore 01.12.2024
    Published in SN computer science (01.12.2024)
    “…Floods are one of the main threats to human life and the property of natural disasters, especially in highly populated urban areas. Fast and accurate…”
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  12. 12

    Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven cognitive manufacturing by Lăzăroiu, George, Androniceanu, Armenia, GRECU, Iulia, Grecu, Gheorghe, Neguriță, Octav

    ISSN: 2083-1277, 2353-1827
    Published: Torun Institute of Economic Research 01.12.2022
    Published in Oeconomia Copernicana (01.12.2022)
    “… Purpose of the article: In this research, prior findings were cumulated proving that cognitive manufacturing integrates artificial intelligence-based decision-making algorithms, real-time big data analytics, sustainable…”
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  13. 13

    Submodular Memetic Approximation for Multiobjective Parallel Test Paper Generation by Minh Luan Nguyen, Siu Cheung Hui, Fong, Alvis C. M.

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Published: United States IEEE 01.06.2017
    Published in IEEE transactions on cybernetics (01.06.2017)
    “…Parallel test paper generation is a biobjective distributed resource optimization problem, which aims to generate multiple similarly optimal test papers automatically according to multiple user…”
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  14. 14

    Convergence Analysis of Distributed Gradient Descent Algorithms With One and Two Momentum Terms by Liu, Bing, Chai, Li, Yi, Jingwen

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Published: United States IEEE 01.03.2024
    Published in IEEE transactions on cybernetics (01.03.2024)
    “… The cost functions are twice continuously differentiable. We first study the algorithm with one momentum term and develop a distributed heavy-ball (D-HB…”
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  15. 15

    STAB: An Enhanced Abstractive Text Summarization Employing Stacked Bi-GRU with the Attention CNN Approach by Radhakrishnan, P., SenthilKumar, G.

    ISSN: 2661-8907, 2662-995X, 2661-8907
    Published: Singapore Springer Nature Singapore 01.08.2024
    Published in SN computer science (01.08.2024)
    “…) network which automatically generates a summary from the long text. Initially, the input text is pre-processed and fed to the Stacked Bi-GRU combined attention-based…”
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  16. 16

    Adaptive Multi-Step Evaluation Design With Stability Guarantee for Discrete-Time Optimal Learning Control by Wang, Ding, Wang, Jiangyu, Zhao, Mingming, Xin, Peng, Qiao, Junfei

    ISSN: 2329-9266, 2329-9274
    Published: Piscataway Chinese Association of Automation (CAA) 01.09.2023
    Published in IEEE/CAA journal of automatica sinica (01.09.2023)
    “…This paper is concerned with a novel integrated multi-step heuristic dynamic programming (MsHDP…”
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  17. 17

    Log Anomaly Detection Using Sequential Convolution Neural Networks and Dual-LSTM Model by Ranga, Shivaprakash, Nageswara Guptha, M.

    ISSN: 2661-8907, 2662-995X, 2661-8907
    Published: Singapore Springer Nature Singapore 01.05.2023
    Published in SN computer science (01.05.2023)
    “… The history logs and sequences are both treated by the model in general. Normal patterns are learned from normal log sequences, and anomalies are detected when departures from normal patterns occur…”
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  18. 18

    bioNerDS: exploring bioinformatics’ database and software use through literature mining by Duck, Geraint, Nenadic, Goran, Brass, Andy, Robertson, David L, Stevens, Robert

    ISSN: 1471-2105, 1471-2105
    Published: London BioMed Central 15.06.2013
    Published in BMC bioinformatics (15.06.2013)
    “… automate systematic cataloguing, facilitate the monitoring of usage, and provide the foundations for the recovery of computational methods for analysing biological data, with the long-term aim of identifying…”
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  19. 19

    A systematic literature review regarding computational thinking and programming in early childhood education by Bati, Kaan

    ISSN: 1360-2357, 1573-7608
    Published: New York Springer US 01.03.2022
    Published in Education and information technologies (01.03.2022)
    “…This research was aimed at summarizing experimental evidence regarding computational thinking and programming conducted in early childhood education in terms of the variables of plugged-in versus…”
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  20. 20

    Distributed Mixed-Integer Linear Programming via Cut Generation and Constraint Exchange by Testa, Andrea, Rucco, Alessandro, Notarstefano, Giuseppe

    ISSN: 0018-9286, 1558-2523
    Published: New York IEEE 01.04.2020
    Published in IEEE transactions on automatic control (01.04.2020)
    “… Within the distributed framework, we first propose an algorithm that, under the assumption of integer-valued optimal cost, guarantees finite-time convergence to an optimal solution…”
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