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  1. 28001

    M-Learning: Heuristic Approach for Delayed Rewards in Reinforcement Learning by Cesar Andrey Perdomo Charry, Marlon Sneider Mora Cortes, Oscar J. Perdomo

    Published 2025-06-01
    “…The comparison is conducted using Markov Decision Processes with the delayed reward as a general test bench framework. …”
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    Article
  2. 28002

    Influenza virus drug resistance: a time-sampled population genetics perspective. by Matthieu Foll, Yu-Ping Poh, Nicholas Renzette, Anna Ferrer-Admetlla, Claudia Bank, Hyunjin Shim, Anna-Sapfo Malaspinas, Gregory Ewing, Ping Liu, Daniel Wegmann, Daniel R Caffrey, Konstantin B Zeldovich, Daniel N Bolon, Jennifer P Wang, Timothy F Kowalik, Celia A Schiffer, Robert W Finberg, Jeffrey D Jensen

    Published 2014-02-01
    “…Time-sampled data may provide a powerful tool for distinguishing these processes, and we here propose approximate Bayesian, maximum likelihood, and analytical methods for the inference of demography and selection from time course data. …”
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  3. 28003

    Uncovering functional lncRNAs by scRNA-seq with ELATUS by Enrique Goñi, Aina Maria Mas, Jovanna Gonzalez, Amaya Abad, Marta Santisteban, Puri Fortes, Maite Huarte, Mikel Hernaez

    Published 2024-11-01
    “…Abstract Long non-coding RNAs (lncRNAs) play fundamental roles in cellular processes and pathologies, regulating gene expression at multiple levels. …”
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  4. 28004

    Dataguzzler-Python and SpatialNDE2: Crucial Software Infrastructure for Reconfigurable NDE Data Acquisition With Spatial Context by Tyler J. Lesthaeghe, Stephen D. Holland

    Published 2024-01-01
    “…We describe a new pair of open-source tools, Dataguzzler-Python and SpatialNDE2, that facilitate instrumentation control, data acquisition, and processing for the NDE laboratory. The tools make up a framework that provides the following: multiplexed automatic and manual control of instrumentation, a versioned database to store the acquired data, parallel acquisition and live high performance/GPU computation, the ability to acquire and store data in geometric context, and the ability to visualize and interact with the acquired data. …”
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    Article
  5. 28005

    Multi-Scenario Robust Distributed Permutation Flow Shop Scheduling Based on DDQN by Shilong Guo, Ming Chen

    Published 2025-06-01
    “…In order to address the Distributed Displacement Flow Shop Scheduling Problem (DPFSP) with uncertain processing times in real production environments, Plant Simulation is employed to construct a simulation model for the MSRDPFSP. …”
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  6. 28006

    Dataset of Centella Asiatica leaves for quality assessment and machine learning applicationsMendeley Data by Rohini Jadhav, Mayuri Molawade, Amol Bhosle, Yogesh Suryawanshi, Kailas Patil, Prawit Chumchu

    Published 2024-12-01
    “…The images were pre-processed and standardized to 1024 × 768 dimensions, resulting in a dataset comprising a total of 9094 images. …”
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    Article
  7. 28007

    Using Futures Prices and Analysts’ Forecasts to Estimate Agricultural Commodity Risk Premiums by Gonzalo Cortazar, Hector Ortega, José Antonio Pérez

    Published 2025-01-01
    “…Moreover, this enhanced understanding of risk premiums can be directly applied in the finance and agricultural industries, improving decision-making processes.…”
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    Article
  8. 28008

    Development of Dispatching Rule based Heuristic Algorithms for Real-Time Dynamic Scheduling of Non-identical Parallel Burn-in Ovens with Machine Eligibility Restriction by Dhaval Pujara, M. Mathirajan

    Published 2025-06-01
    “…This study addresses a new problem, close to real life on scheduling of non-identical parallel Burn-in ovens (BO) in Semiconductor Manufacturing (SM) industry to minimize Total Weighted Tardiness (TWT) of the jobs. Due to computational intractability in using mathematical programming approach, many researchers considered Dispatching Rules (DR) based heuristic algorithm in SM industry for scheduling of various batch processing machines, including BO. …”
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    Article
  9. 28009

    A Dense Pyramidal Residual Network with a Tandem Spectral–Spatial Attention Mechanism for Hyperspectral Image Classification by Yunlan Guan, Zixuan Li, Nan Wang

    Published 2025-03-01
    “…Moreover, the method enhanced the processing speed, especially for large datasets such as WHU-Hi-HongHu. …”
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    Article
  10. 28010

    Modeling the Solar Transition Region: Effects of Spatial Resolution on the Atmospheric Structure, Emission and Non-equilibrium Ionization by Takuma Matsumoto

    Published 2025-01-01
    “…The solar transition region (TR) is a narrow interface between the chromosphere and corona, where emitted radiation contains critical information pertinent to coronal heating processes. We conducted two-dimensional radiation magnetohydrodynamics simulations using adaptive mesh refinement to spatially resolve the fine structure of the TR while simultaneously capturing the larger-scale dynamics originating from surface convection. …”
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    Article
  11. 28011

    Corrosion-induced thickness diminution of an ageing bulk carrier by Nataša Kovač, Špiro Ivošević, Nikola Momčilović

    Published 2024-01-01
    “…This approach aims to enhance the understanding of the causal relationship between corrosion processes and structural performance, contributing to the development of sustainable design practices in the maritime industry.…”
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  12. 28012
  13. 28013

    GLIHamba: global–local context image harmonization based on Mamba by Jinsheng SUN, Jiao PAN, Yu GUO, Chao YAO

    Published 2025-07-01
    “…Image harmonization has emerged as a significant research area in the field of image processing. With the rapid development of image processing technologies in recent years, it has gradually become a focal point of attention in both academia and industry. …”
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  14. 28014

    Multiobjective optimization of Murta (Ugni molinae Turcz) juice lactic acid fermentation with monocultures and cocultures of Lactobacillus acidophilus and Lactiplantibacillus plant... by C.J. Gomes-Lobo, R. Luna, A. Rodríguez-Machado, J.R. Pérez-Correa, W. Franco

    Published 2025-06-01
    “…These findings highlight the practical utility of MOO-MCDM for designing efficient multiobjective fermentation processes in functional food development.…”
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    Article
  15. 28015
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  19. 28019
  20. 28020