Search Results - evaluation algorithms
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Transient processes of oscillating method of wood drying control for synthesis of algorithms for adjustment of parameters of resistive humidity sensors
Published 2025-07-01“…This method generates a set of transient processes that may contain useful information, the analysis of which allows evaluating the quality of drying and the main indicators of the technological process. …”
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Evidence and reality: an observational study on pharmacological outcomes in advanced head and neck tumors
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443
Enhanced clustering techniques for lithofacies and electrofacies identification in post-salt carbonate and siliciclastic reservoirs: a case study from the campos basin, Brazil
Published 2025-10-01“…The exploratory data analysis was essential to understand the statistical behavior and interrelationships among the petrophysical logs, serving as a foundational step for the effective application of the clustering algorithms. Despite the diverse mathematical foundations of the clustering algorithms, the three electrofacies were reliably correlated with lithofacies. …”
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Sentiment Analysis of PeduliLindungi User Using Naïve Bayes Classifier Algorithm and Support Vector Machine
Published 2024-08-01“…This method's application additionally uses the Naive Bayes Classifier and Support Vector Machine algorithms, which analyze word associations and do a classification evaluation of the data's accuracy. …”
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445
A Novel Performance Evaluation Framework for OTFS System
Published 2025-01-01“…Firstly, waveform parameters, channel information and receiving algorithm of OTFS systems are considered as evaluation characteristics, and thus four key indicators are integrated and extracted for subsequent assessments. …”
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446
Influence of symbolic content on recommendation bias: analyzing YouTube’s algorithm during Taiwan’s 2024 election
Published 2025-06-01“…Abstract This study investigates the role of symbolic content, including social, cultural, and political imagery, in shaping algorithmic biases within YouTube’s recommendation system, using the 2024 Taiwanese presidential election as a case study. …”
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447
Research on Dynamic Stability of Slopes Under the Influence of Heavy Rain Using an Improved NSGA-II Algorithm
Published 2025-06-01“…In this study, building upon our existing parameter inversion model, the improved backpropagation genetic algorithm non-dominated sorting genetic algorithm II model (BPGA-NSGA-II), in-depth research was conducted on the selection of key parameters for the model. …”
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448
Use of weight measurement algorithm on the basis of moving average filter in the recorder of overhead crane operation parameters
Published 2023-09-01“…This ensures the accuracy of the crane intensity indicators with an accuracy of 3%.Conclusion. Evaluation of accuracy and time parameters showed the applicability of the developed algorithm of weight measurement in the task of determining the mass of the load to recorders of crane operation parameters. …”
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449
Evaluating Material Parameter Influence on Drapability Using VStitcher
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450
Estimation of Static Lung Volumes and Capacities From Spirometry Using Machine Learning: Algorithm Development and Validation
Published 2025-03-01“…ObjectiveThe aim of the study was to develop artificial intelligence-based algorithms for estimating lung volumes and capacities using spirometry measures. …”
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Improved Energy Efficient Anytime Optimistic Algorithm for PEGASIS to Extend Network Lifetime in Homogeneous and Heterogeneous Networks
Published 2025-01-01“…The proposed algorithm demonstrates a 40% improvement across all evaluated features compared to existing algorithms.…”
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Oxidative stress-related genes in uveal melanoma: the role of CALM1 in modulating oxidative stress and apoptosis and its prognostic significance
Published 2025-08-01“…Protein–protein interaction (PPI) networks were constructed to identify hub genes, and machine learning algorithms were utilized to screen for diagnostic genes, employing methods such as least absolute shrinkage and selection operator (LASSO) regression, random forest, support vector machine (SVM), gradient boosting machine (GBM), neural network algorithm (NNET), and eXtreme gradient boosting (XGBoost). …”
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Precision Measurement and Feature Selection in Medical Diagnostics using Hybrid Genetic Algorithm and Support Vector Machine
Published 2025-07-01“…The GA feature selection process includes encoding chromosomes, initializing the population, evaluating fitness, and iterating through reproduction steps, that systematically evaluate and select the most informative features for breast cancer diagnosis. …”
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Comparative Analysis of the Proportional Distribution Method and the Random Forest Algorithm for Predicting Pedestrian Traffic Accident Risk
Published 2025-01-01“…This study presents a comparative analysis of two methodologies for predicting the risk of pedestrian traffic accidents: a methodology based on proportional risk distribution and the Random Forest algorithm. The analysis utilizes data derived from real court cases, where linguistic variables defined as risk factors are categorized and quantified based on expert evaluations. …”
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An algorithmic approach to signed fuzzy graph integrity: Complexity, graph operations, and metro rail network applications
Published 2025-09-01“…This paper presents an algorithm to compute the integrity of a signed fuzzy graph by systematically evaluating vertex subsets, removing them, and analyzing the resulting connected components. …”
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Diversity Operators-based Artificial Fish Swarm Algorithm to Solve Flexible Job Shop Scheduling Problem
Published 2023-10-01“…In this paper, a set of FJSSP target samples are tested employing the improved algorithm to confirm its effectiveness and evaluate its execution. …”
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A modified two-term conjugate gradient-based projection algorithm for constrained nonlinear equations with applications
Published 2025-06-01“…Numerical experiments demonstrate that, compared to similar algorithms, the proposed algorithm is efficient and competitive in terms of the number of iterations, the number of function evaluations, and the running time. …”
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