Showing 121 - 140 results of 535 for search 'Local research algorithm', query time: 0.13s Refine Results
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    Improving kinetic model fitting for total titratable acidity in bananas using genetic algorithms by Alejandro Kevin Méndez Castillo, Elizabeth Contreras López, Jesús Guadalupe Pérez Flores, Laura García Curiel, Emmanuel Pérez Escalante, Karla Soto Vega, Carlos Ángel-Jijón, Alicia Cervantes Elizarrarás

    Published 2025-06-01
    “… This research aimed to automate the fitting of kinetic models using genetic algorithms (GAs) to optimize the estimation of kinetic parameters—the reaction rate constant (k) and the initial value of total titratable acidity (TTA, C₀)—and enhance predictive accuracy. …”
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  3. 123

    Fault detection algorithm for underground conveyor belt deviation based on improved RT-DETR by AN Longhui, WANG Manli, ZHANG Changsen

    Published 2025-03-01
    “…Current research on conveyor belt deviation detection mainly focuses on extracting the straight-line features of belt edges. …”
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  4. 124
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    A node influence ranking algorithm combining k-shell iteration and node degree. by Yating Ji, Lequn Liu, Shujia Li, Pu Lu, Qimei Tang

    Published 2025-01-01
    “…To address this issue, we propose a node influence ranking algorithm that integrates K-shell iteration, node degree, and neighbor information, considering both global network position and local topology. …”
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    Hybrid particle swarm optimization and semi-supervised extreme learning machine for cellular network localization by Fagui Liu, Hengrui Qin, Xin Yang, Yi Yu

    Published 2017-06-01
    “…The research of localization technology based on received signal strength and machine learning has recently attracted a lot of attentions, since with the help of enough labeled training data this technology is able to achieve high positioning accuracy. …”
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    Bayesian approach for localizing cardiac sources in Magnetocardiography using Vectorcardiography based total variational priors by Vikas R. Bhat, Karunakar Kotegar, H. Anitha

    Published 2025-07-01
    “…The analysis revealed that the proposed algorithms with VCG priors (that are extracted from the VCG signals) in the Bayesian framework significantly improved MCG source localization in cases of Myocardial Ischemia. …”
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  10. 130

    Nursing Value Analysis and Risk Assessment of Acute Gastrointestinal Bleeding Using Multiagent Reinforcement Learning Algorithm by Fang Liu, Xiaoli Liu, Changyou Yin, Hongrong Wang

    Published 2022-01-01
    “…For risk assessment and nursing value analysis, machine learning-based prediction using a multiagent reinforcement algorithm is employed. For improving the performance of the proposed system, we use spider monkey optimization (SMO) algorithm. …”
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  11. 131

    GLOPS: A Hybrid Approach for Enhanced Scheduling in Cloud Computing Environments via Machine Learning-Based Process Prediction by Syed Abu Ammar Muhammad Zarif, Layla Kader Suma, Md. Sadat Rahman, Md. Motaharul Islam, Phuoc Hung Pham, Phong Dung Thi Nguyen, Nguyen Thanh Binh

    Published 2025-01-01
    “…However, early predictions would seem futile without efficient scheduling, which is why the article further proposes Global and Local Optimized Preemptive Scheduling (GLOPS), an enhanced metaheuristic scheduling algorithm employing Particle Swarm Optimization and Simulated Annealing. …”
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  12. 132

    APPLICATION OF HYBRID MEMETIC ALGORITHM IN OPTIMAL CONTROL NONLINEAR STOCHASTIC SYSTEMS WITH INCOMPLETE FEEDBACK PROBLEMS by A. V. Panteleev, V. N. Panovskiy

    Published 2018-04-01
    “…The application of hybrid memetic algorithm of global constrained optimization in the search optimal control of nonlinear stochastic systems problem is researched in the paper. …”
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    K-Means Centroid Optimization with Genetic Algorithm for Clustering Micro, Small, Medium Enterprises in Yogyakarta by Muhammad Faris Akbar, Lisna Zahrotun

    Published 2025-08-01
    “…However, the weakness of K-Means is in determining the cluster centroid randomly, which can result in suboptimal clustering results, especially since it tends to get stuck on local solutions. This research aims to overcome this weakness by integrating the Genetic Algorithms (GA) into the K-Means process, optimizing the initial centroid, and improving clustering quality. …”
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  15. 135

    Mobile Robot Path Planning Based on Enhanced Dynamic Window Approach and Improved A∗ Algorithm by Hongxia Yang, Xingqiang Teng

    Published 2022-01-01
    “…In order to achieve local obstacle avoidance and pursuit of dynamic target points in dynamic and complex environments, an online path planning method combining enhanced dynamic window algorithm and global path planning information is proposed. …”
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  16. 136

    Quantum algorithms and complexity in healthcare applications: a systematic review with machine learning-optimized analysis by Agostino Marengo, Vito Santamato

    Published 2025-05-01
    “…This paper presents a systematic review of quantum computing approaches to healthcare-related computational problems, with an emphasis on quantum-theoretical foundations and algorithmic complexity. We adopt an optimized machine learning methodology—combining Particle Swarm Optimization (PSO) with Latent Dirichlet Allocation (LDA)—to analyze the literature and identify key research themes at the intersection of quantum computing and healthcare. …”
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    Research on Wireless Positioning Technology Based on Digital FM Broadcasting by Yi Zhang, Zhanxin Yang, Lunhui Deng, Shanshan Li

    Published 2019-01-01
    “…In this paper, a new method based on multisource data fusion is proposed, which can meet the need of localization in various environments and overcome the deficiency of single localization method.…”
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  19. 139

    THE CHOICE OF SURGICAL TACTICS BASED ON THE RESULTS OF PIGMENTED LIMPHOGRAPHY FOR PATIENTS WITH LOCALLY ADVANCED PROXIMAL GASTRIC CANCER by M. O. Maksimov, S. A. Tuzikov, G. N. Strizhakov, E. O. Rodionov, S. V. Miller

    Published 2017-06-01
    “…The lack of low-cost and available methods for the diagnosis of lymph node metastasis from gastric cancer and the standards of surgery for proximal gastric cancer is a hot topic for research. the aim of research is to study the effectiveness of the method of pigment lymphography and to develop criteria for determining the extent of surgery in the treatment of locally advanced proximal gastric cancer. …”
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