Showing 15,381 - 15,400 results of 15,618 for search 'computing optimizing 4', query time: 0.19s Refine Results
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    Implementation of SLAM-Based Online Mapping and Autonomous Trajectory Execution in Software and Hardware on the Research Platform Nimbulus-e by Thomas Schmitz, Marcel Mayer, Theo Nonnenmacher, Matthias Schmitz

    Published 2025-08-01
    “…The inclusion of vehicle odometry data significantly reduces computation time and improves accuracy compared to a purely visual approach. …”
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    An Extended Firefly Algorithm for Enhanced Information Diffusion with Multi-Factor Considerations by Amjad Alloush, Ghaida Rebdawi:, Mohammad Saeed Abou Trab

    Published 2025-07-01
    “…In this study, we propose an enhanced information diffusion model based on an Extended Modified Firefly Algorithm (EMFA), integrating four key features: content type, engagement level, temporal behavior, and user social attributes. …”
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    Adaptive meta-modeling of evapotranspiration in arid agricultural regions of Saudi Arabia using climatic factors, drought indices and MODIS data by Osama Elsherbiny, Salah Elsayed, Obaid Aldosari, Muhammad Sohail Memon, Ahmed Elbeltagi

    Published 2025-06-01
    “…This can enhance irrigation efficiency and optimize water resource management. The data collected from 2000 to 2023 encompass four environmental factors (EF), two drought indices (DI), and six MODIS spectral indices (SI). …”
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    Global trends in machine learning applications for single-cell transcriptomics research by Xinyu Liu, Zhen Zhang, Chao Tan, Yinquan Ai, Hao Liu, Yuan Li, Jin Yang, Yongyan Song

    Published 2025-08-01
    “…Keyword clustering revealed four themes: gene expression, immunotherapy, bioinformatics, and inflammation-related research. …”
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    Performance Evaluation of Intrusion Detection System using Selected Features and Machine Learning Classifiers by Raja Azlina Raja Mahmood, AmirHossien Abdi, Masnida Hussin

    Published 2021-06-01
    “…In this study, two different sets of selected features have been adopted to train four machine-learning based classifiers.  The two sets of selected features are based on Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) approach respectively.  …”
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