Showing 241 - 260 results of 5,420 for search 'may algorithm', query time: 0.11s Refine Results
  1. 241

    Why implementing machine learning algorithms in the clinic is not a plug-and-play solution: a simulation study of a machine learning algorithm for acute leukaemia subtype diagnosis... by Gernot Pucher, Till Rostalski, Felix Nensa, Jens Kleesiek, Hans Christian Reinhardt, Christopher Martin Sauer

    Published 2025-01-01
    “…Interpretation: The findings underscore the challenges of implementing ML algorithms in clinical practice. Despite robust development and validation in research settings, ML models like AI-PAL may require significant adjustments and recalibration to maintain performance in different clinical settings. …”
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    Article
  2. 242

    A New Mechanism to Improve the Detection Rate of Shilling Attacks in the Recommender Systems by javad nehriri, sasan hosseinali zadeh

    Published 2017-12-01
    “…But, as in this method users’ feedback is considered for recommendations, it can be significantly erroneous by the malicious people. In other words, there may be some users who open fake profiles and vote one-sided or biased in the system that may cause disturbance in providing proper recommendations to other users. …”
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  3. 243

    Load Balancing Routing Algorithm Based on Genetic Optimization and Artificial Bee Colony in LEO Satellite Network by Xia DENG, Miaomiao HAO, Wucheng LIN

    Published 2024-06-01
    “…The LEO satellite network become a powerful complement to the terrestrial network as it shows the advantage of low latency, low cost, low loss rate and global coverage.However, due to the uneven distribution of users and the variation of network traffic over time, some links may be congested and unbalanced.A load balancing routing algorithm based on genetic optimization and artificial bee colony in LEO satellite networks(GABC) was proposed, which combined genetic algorithm with artificial bee colony algorithm to avoid local optimization.Experimental results showed that compared with the shortest path routing and LBRA-CP algorithm, the proposed algorithm has higher data transmission rate and throughput with lower delay and overhead ratio.…”
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  4. 244

    Evapotranspiration of banana using the SEBAL algorithm in an irrigated perimeter from the Northeastern Brazil by Tainara T. S. Silva, Hugo O. C. Guerra, Bernardo B. da Silva, Cris L. M. Santos, Jean P. Guimarães, Joelma S. dos Santos

    Published 2021-03-01
    “…The bands were stacked, and the stacked images were cut, then mathematical operations and evapotranspiration estimation were performed, whose actual daily banana values, estimated by the SEBAL algorithm, were 4.70; 5.00 and 6.50 mm, respectively, for May 22, August 10, and October 29, 2016. …”
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    Article
  5. 245

    Exploring the State-of-the-Art Algorithms for Brain Tumor Classification Using MRI Data by Joice J Anish, D Ajitha

    Published 2025-01-01
    “…This study is about the algorithms, datasets, and model designs that different researchers have utilized for classifying BT images. …”
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  6. 246

    Using an algorithmic approach to shape human decision-making through attraction to patterns by Haran Shani-Narkiss, Baruch Eitam, Oren Amsalem

    Published 2025-05-01
    “…We hypothesized that decision-makers, intending to maximize profit, may be lured by the existence of regularity, even when it does not confer any additional value. …”
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  7. 247

    Analysis of Aftershocks from California and Synthetic Series by Using Visibility Graph Algorithm by Alejandro Muñoz-Diosdado, Ana María Aguilar-Molina, Eric Eduardo Solis-Montufar, José Alberto Zamora-Justo

    Published 2025-02-01
    “…The use of the Visibility Graph Algorithm (VGA) has proven to be a valuable tool for analyzing both real and synthetic seismicity series. …”
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  8. 248

    Algorithm for automatic fatigue crack growth simulation on welded high strength steels by Ricardo Miguel Gomes Simões Baptista, Virginia Infante, João Marques

    Published 2019-03-01
    “…The material parameters may change along the crack growth and mixed mode crack propagation may also occur. …”
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    Article
  9. 249

    Cost Minimization with Project Crashing: Comparison of the Traditional Solution and Genetic Algorithm Approach by Sadik Yıgıt, Semih Caglayan

    Published 2024-10-01
    “…On the other hand, the genetic algorithm approach may not reach the optimum solution unless the toolbox options are appropriately selected. …”
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  10. 250

    A Constrained Solution Update Strategy for Multiobjective Evolutionary Algorithm Based on Decomposition by Yuchao Su, Qiuzhen Lin, Jia Wang, Jianqiang Li, Jianyong Chen, Zhong Ming

    Published 2019-01-01
    “…This paper proposes a constrained solution update strategy for multiobjective evolutionary algorithm based on decomposition, in which each agent aims to optimize one decomposed subproblem. …”
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  11. 251

    An Improved Route-Finding Algorithm Using Ubiquitous Ontology-Based Experiences Modeling by Maryam Barzegar, Abolghasem Sadeghi-Niaraki, Maryam Shakeri, Soo-Mi Choi

    Published 2019-01-01
    “…For this purpose, first ontology is designed for route finding, and then according to this ontology, an ontology-based route-finding algorithm is developed for ubiquitous GIS. Finally, this algorithm is implemented for Tehran, Iran, and its results are compared with the shortest path algorithm (Dijkstra’s algorithm) in terms of the route length and travel time for peak traffic time. …”
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  12. 252

    Vertical Handover Decision Algorithm Using Multicriteria Metrics in Heterogeneous Wireless Network by Gita Mahardhika, Mahamod Ismail, Rosdiadee Nordin

    Published 2015-01-01
    “…Conventionally, a mobile user may roam and accomplish the vertical handover using single criteria, such as received signal strength (RSS). …”
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  13. 253

    A personalized reinforcement learning recommendation algorithm using bi-clustering techniques. by Muhammad Waqar, Mubbashir Ayub

    Published 2025-01-01
    “…Traditional RSs often generate static recommendations, which may not adapt well to changing user preferences. …”
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  14. 254
  15. 255

    Anomaly detection using unsupervised machine learning algorithms: A simulation study by Edmund Fosu Agyemang

    Published 2024-12-01
    “…One-Class SVM with SGD shows promise in precision but needs adjustment to improve recall. Local Outlier Factor may require parameter tuning or may not be as suitable for this particular dataset’s characteristics. …”
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  16. 256

    THE SPECIATION IN GENETIC ALGORITHMS FOR PRESERVING POPULATION DIVERSITY AND OPTIMIZATION OF FUNCTIONS WITH SUBOPTIMAL SOLUTIONS by V. Pretsel, Roman Shuvar

    Published 2024-12-01
    “…Background. Genetic algorithms are used in various tasks and show advantages compared to other optimization methods, which may not always be applicable. …”
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  17. 257
  18. 258

    Validating an Electronic Health Record Algorithm for Diabetes Screening Eligibility in the Emergency Department by Mary H. Smart, Janet Y. Lin, Brian T. Layden, Yuval Eisenberg, Kirstie K. Danielson, Ruth Pobee, Chuxian Tang, Brett Rydzon, Anjana Bairavi Maheswaran, A. Simon Pickard, Lisa K. Sharp, Angela Kong

    Published 2025-02-01
    “…The AUC of 0.74 (CI 0.72–0.77) suggests that the algorithm had acceptable accuracy. Conclusion: Findings suggest that an electronic health record-based algorithm informed by the ADA guidelines is a valid tool for identifying patients presenting to the ED who are eligible for HbA1c testing and may be unaware of having prediabetes or diabetes. …”
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  19. 259

    On-the-Fly Sleep Scoring Algorithm with Heart Rate, RR Intervals and Accelerometer as Input by Michele Guagnano, Sara Groppo, Luigi Pugliese, Massimo Violante

    Published 2025-03-01
    “…For instance, in SAE Level 4 autonomous driving, a driver may need to takeover the vehicle control in case the autopilot is exiting its operational design domain. …”
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  20. 260

    Assigning Candidate Tutors to Modules: A Preference Adjustment Matching Algorithm (PAMA) by Nikos Karousos, Despoina Pantazi, George Vorvilas, Vassilios S. Verykios

    Published 2025-04-01
    “…This study introduces the preference adjustment matching algorithm (PAMA), a novel matching framework that pairs elements, which conceptually represent a bipartite graph structure, based on rankings and preferences. …”
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