Showing 581 - 600 results of 4,946 for search 'different (evolution OR evaluation) algorithm', query time: 0.20s Refine Results
  1. 581

    Improved Side-Channel Attack on CTR DRBG Using a Clustering Algorithm by Jaeseung Han, Dong-Guk Han

    Published 2025-07-01
    “…Experiments were conducted on an Atmel XMEGA128D4 processor to evaluate the effectiveness of the proposed attack method. …”
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    Article
  2. 582

    Comparative analysis of AI-based search algorithms in solving 8 puzzle problems by Ghaniyyat Bolanle Balogun, Daniel Ibisagba, Amos Bajeh, Taofik Olawale Debo, Abdulraheem Muyideen, Olumuyiwa James Peter

    Published 2024-11-01
    “…Abstract Background The 8-puzzle problem is a well-known combinatorial search problem, often used to test the effectiveness of various artificial intelligence (AI) algorithms. This study aims to evaluate the performance of three AI-based search algorithms—Breadth-First Search (BFS), Depth-First Search (DFS), and A* Search—in solving the 8-puzzle problem. …”
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  3. 583

    A Fallback Localization Algorithm for Automated Vehicles Based on Object Detection and Tracking by Mario Rodriguez-Arozamena, Jose Matute, Javier Araluce, Lukas Kuschnig, Christoph Pilz, Markus Schratter, Joshue Perez Rastelli, Asier Zubizarreta

    Published 2025-01-01
    “…The proposed algorithm is evaluated through simulations, a real-world dataset, and practical tests on two vehicle models. …”
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  4. 584

    IFDA: Intermittent Fault Diagnosis Algorithm for Augmented Cubes Under the PMC Model by Chongwen Yuan, Chenghao Zou, Jiong Wu, Hao Feng, Jie Li

    Published 2025-07-01
    “…Meanwhile, there is a lack of a rapid diagnostic algorithm tailored for intermittent faults. In this paper, we propose multiple theorems to evaluate the intermittent fault diagnosability of different topologies under the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>P</mi><mi>M</mi><mi>C</mi></mrow></semantics></math></inline-formula> model. …”
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  5. 585

    Performance of two different artificial intelligence models in dental implant planning among four different implant planning software: a comparative study by Pathompong Roongruangsilp, Walita Narkbuakaew, Pathawee Khongkhunthian

    Published 2025-07-01
    “…Furthermore, the variations in imaging rendering algorithms across different software platforms significantly influenced the model outcomes. …”
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  6. 586

    An automated software algorithm for optimizing microwave ablation parameters for treatment of liver tumors by Sabrina Q. R. Liew, Nathaniel Rex, Celina Hsieh, Hyeonseon Kim, Scott A. Collins, Grayson L. Baird, DaeHee Kim, Aaron W. P. Maxwell

    Published 2025-12-01
    “…Purpose To evaluate the performance of a software algorithm developed to streamline microwave liver ablation parameter selection and to compare performance of this algorithm to that of experienced interventional radiologists.Methods Patients who underwent microwave ablation for treatment of liver tumors were retrospectively identified. …”
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    Article
  7. 587

    Research on kd-tree Cache Optimization Based on Particle Index Sorting Algorithm by 张挺, 林震寰, 杨丁颖, 王宗锴, 陈轶凡

    Published 2024-01-01
    “…It employs the mean absolute difference (MAD) as the dispersion measure and subsequently proposes a novel cache optimization strategy, namely MAD-index-sort. …”
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    Article
  8. 588

    Evaluation of the results of pansharpening multispectral images by Y. I. Golub

    Published 2022-06-01
    “…The clearest boundaries and natural colors of objects were demonstrated by the P+XS pansharpening algorithm based on a linear combination of spectral channels.…”
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  9. 589

    Performance Comparison of Random Forest and Decision Tree Algorithms for Anomaly Detection in Networks by Rafiq Fajar Ramadhan, Wahid Miftahul Ashari

    Published 2024-11-01
    “…The data collection method, pre-processing, data splitting and modelling using SMOTE method to handle data imbalanced were applied in both algorithms and then evaluated using accuracy, precision, recall and f1-score metrics. …”
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  10. 590

    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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  11. 591
  12. 592

    Study on Mesoscopic Damage Evolution Characteristics of Single Joint Sandstone Based on Micro-CT Image and Fractal Theory by Hao Liu, Lulin Zheng, Yujun Zuo, Zhonghu Wu, Wenjibin Sun, Lujing Zheng, Chao Pan, Jianyun Lin, Zehua Zhu, Zhibin Hao

    Published 2021-01-01
    “…The different directions of joints in rock will lead to great differences in damage evolution characteristics. …”
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  13. 593
  14. 594

    Evolution of deep learning tooth segmentation from CT/CBCT images: a systematic review and meta-analysis by Wai Ying Kot, Sum Yin Au Yeung, Yin Yan Leung, Pui Hang Leung, Wei-fa Yang

    Published 2025-05-01
    “…However, the performance of deep learning is unknown due to multiple models and diverse evaluation metrics. This systematic review and meta-analysis aims to evaluate the evolution and performance of deep learning in tooth segmentation. …”
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  15. 595

    Solving Multidimensional Partial Differential Equations Using Efficient Quantum Circuits by Manu Chaudhary, Kareem El-Araby, Alvir Nobel, Vinayak Jha, Dylan Kneidel, Ishraq Islam, Manish Singh, Sunday Ogundele, Ben Phillips, Kieran Egan, Sneha Thomas, Devon Bontrager, Serom Kim, Esam El-Araby

    Published 2025-03-01
    “…We evaluated the proposed algorithm using the Poisson equation as a case study and validated it through experiments conducted on noise-free and noisy simulators, as well as hardware emulators and real quantum hardware from IBM. …”
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  16. 596

    Classification of Tropical Cyclone Tracks in the Northwest Pacific Based on the SD-K-Means Model by Nan Xu, Baisong Yang, Jia Ren

    Published 2025-05-01
    “…The experimental results show that the SD-K-Means algorithm achieved high consistency across the majority of clustering indices, with the optimal number of clusters determined to be four. …”
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  17. 597

    An Objective Evaluation Method for Image Restoration by A. Lakshmi, Subrata Rakshit

    Published 2010-01-01
    “…Numerous complex restoration algorithms have been stated in the literature. Performance of these restoration algorithms differs with the nature of the image and distortion. …”
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  18. 598

    A novel elite guidance-based social learning particle swarm optimization algorithm by QI Cheng, XIE Junwei, WANG Xue, FENG Weike, ZHANG Haowei

    Published 2024-10-01
    “…Finally, 12 benchmark test function sets covering unimodal, multimodal and rotated-multimodal functions are used to validate the performance of the proposed algorithm. The results on comparing the ESLPSO algorithm with other eight improved PSO algorithms show that the ESLPSO algorithm has excellent search performances in solving different types of functions, having efficient robustness and excellent solutions.…”
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  19. 599

    Residential Building Energy Usage Prediction Using Bayesian-Based Optimized XGBoost Algorithm by Nabaa Riyadh Baqer, Parviz Rashidi-Khazaee

    Published 2025-01-01
    “…As a result, the new proposed model provides the opportunity to be used as a strong and reliable tool in the early stages of building construction and to evaluate different designs/plans regarding energy consumption efficiency to select the best design with high reliability.…”
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  20. 600

    The Realization of Intelligent Algorithm of Knowledge Point Association Analysis in English Diagnostic Practice System by Yanyan Zhang

    Published 2021-01-01
    “…Then, starting from the existing paper composition mode of the system, the knowledge point association rule table is introduced, and the knowledge point association relationship mining model is constructed using the association rule algorithm to explore the potential influence relationship between different knowledge points that affect the improvement of learning quality. …”
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