Search Results - evaluation algorithms
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301
A study for method-level code smells detection using machine learning algorithms
Published 2025-12-01“…Contributions: A comprehensive comparative analysis of 20 machine learning algorithms on four method-level code smell datasets.…”
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302
Development of algorithms for constructing two-dimensional optimal boundary-adaptive grids and their software implementation
Published 2021-10-01“…The developed methods for constructing an optimal boundary-adaptive grid of a complex geometry region provides solving the problem on automatic grid construction in two-dimensional regions of any configuration. To evaluate the results of the algorithm research, a test problem was solved, and the solution stages were visualized. …”
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303
Algorithms for Load Balancing in Next-Generation Mobile Networks: A Systematic Literature Review
Published 2025-06-01“…Our classification framework provides a basis for operators to evaluate algorithmic trade-offs in scenarios such as network fragmentation or edge computing. …”
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Inconsistency evaluation of the curriculum logical structure
Published 2018-11-01“…This makes it difficult to improve the curriculum.The purpose of this work is to demonstrate the application of a general approach to the assessment of the structural inconsistency of systems in relation to the evaluation of the logical structure of the curriculum.Materials and methods. …”
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306
METRICS FOR EVALUATING CONSISTENCY IN DISTRIBUTED DATASTORES
Published 2020-06-01“…The subject of the paper is metrics for evaluating consistency of distributed datastore as one of main CAP-guarantees, more precisely, criteria for reliable distributed datastore. …”
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307
Evaluation of Agricultural Machinery Operation Modes
Published 2020-12-01“…The author presented material on the evaluation of agricultural machines operating modes and operating conditions using the technical condition monitoring system developed by scientists of the Federal Scientifi c Agroengineering Center VIM. …”
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308
EVALUATION OF MEASURES TO DETECT MISAPPROPRIATION OF RESOURCES
Published 2016-08-01“…The article presents the methodological and technical foundations of the study evaluating the effectiveness of measures to detect misuse of resources. …”
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309
EVALUATION OF INNOVATIVE PROJECTS IN CONTROLLING SYSTEM
Published 2016-08-01“…Implementation of the controlling system onto the high-tech enterprises requires the development of specific tools for their evaluation. The models of projects estimation are offered on the article on the basis of the methods of factor analysis, linear regression analysis and fuzzy logic of Mamdani’s algorithm.…”
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Evaluation of the results of pansharpening multispectral images
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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312
Advances in Video Emotion Recognition: Challenges and Trends
Published 2025-06-01“…The paper further elaborates on datasets and evaluation metrics commonly utilized in VER. Then, the paper reviews VER algorithms according to their categories, and compares and analyzes the experimental results of classic methods on four datasets. …”
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313
Mining privacy-preserving association rules using transaction hewer allocator and facile hash algorithm in multi-cloud environments
Published 2025-06-01“…It also exhibits approximately 15 % reduction in communication costs and displays scalability with the growing number of transactions, compared to the state-of-the-art evaluation metrics that indicate improved communication overhead. • Introduces a multi-cloud privacy framework with Facile Hash Algorithm and Transaction Hewer and Allocator. • Enhances scalability using ATid algorithm with Tid Reduction.…”
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314
Method of forming a business model of corporate integrated structures and developing algorithms and models of its validity
Published 2018-09-01“…Osterwalder’s approach, supplemented by mathematical models for calculating revenue streams, the number of loyal customers, the depth, breadth and competitiveness of the value proposition. To evaluate the generated data on the business model algorithms and models of its validity have been developed.…”
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315
Enhancing LoRaWAN Performance Using Boosting Machine Learning Algorithms Under Environmental Variations
Published 2025-06-01“…The findings show that boosting algorithms, particularly LightGBM, are highly effective for path loss prediction in LoRaWANs.…”
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316
Clinical characteristics of bronchopulmonary dysplasia and the risk of sepsis onset prediction via machine learning models
Published 2025-06-01“…We subsequently utilized ten machine learning (ML) algorithms and used clinical features to acquire models to predict BPD with sepsis. …”
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317
Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification
Published 2025-01-01“…Technically, we performed a sample denoising process with Tomek links before applying the SMOTE and then followed by sample optimization with an evolutionary algorithm after the SMOTE. A genetic algorithm (GA) as one of the popular evolutionary algorithms is utilized for sample optimization including synthetic samples of SMOTE and original samples from both classes. …”
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318
Multiple Machine Learning as a Powerful Tool for Star Cluster Analysis
Published 2025-01-01“…The MMLM performance is evaluated by applying it to the reanalysis of an old binary cluster candidate—comprised of NGC 1605a and NGC 1605b—found by D. …”
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Real-Time Drilling Performance Optimization Using Automated Penetration Rate Algorithms with Vibration Control
Published 2025-05-01“…An adaptive detection algorithm is incorporated to dynamically adjust operational parameters when encountering changing conditions. …”
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Significance of Machine Learning-Driven Algorithms for Effective Discrimination of DDoS Traffic Within IoT Systems
Published 2025-06-01“…Findings revealed that the RF model outperformed other models by delivering optimal detection speed and remarkable performance across all evaluation metrics, while KNN (K = 7) emerged as the most efficient model in terms of training time.…”
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