Search Results - evaluation algorithms

Clinical Algorithms and the Legacy of Race-Based Correction: Historical Errors, Contemporary Revisions and Equity-Oriented Methodologies for Epidemiologists by Horsfall LJ, Bondaronek P, Ive J, Poduval S

“…Moving forward, regular monitoring, evaluation, and refinement of approaches in real-world settings are needed for clinical algorithms serve all patients equitably and effectively.Keywords: clinical algorithms, race correction, health disparities, algorithmic fairness, algorithmic bias, lung function, spirometer, bias mitigation, bias detection…”
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Antipsychotic-Induced Parkinsonism: A Risk Assessment Scale and Personalised Diagnosis Algorithm by N. A. Shnayder, E. E. Vaiman, R. F. Nasyrova

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Leveraging osprey optimization algorithm with deep ensemble learning for cybersecurity in CPS environment by Mimouna Abdullah Alkhonaini, Nouf Aljaffan, Yahia Said, Jamal Alsamri, Nadhem Nemri, Marwa Obayya, Abdulaziz A. Alzubaidi, Yazan A. Alsariera, Mrim M. Alnfiai

“…A metaheuristic algorithm is employed for feature selection (FS) to mitigate the curse of dimensionality. …”
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Facial Emotion Images Recognition Based On Binarized Genetic Algorithm-Random Forest by Murad Ibrahim Husin Alzawali, Yusliza Yusoff, Razana Alwee, Zuriahati Mohd Yunos, Mohamad Shukor Talib, Haswadi Hassan, Fahad Taha AL-Dhief, Musatafa Abbas Abbood Albadr, Majid Razaq Mohamed Alsemawi, Sharifah Zarith Rahmah Syed Ahmad

“… Most recognition system of human facial emotions are assessed solely on accuracy, even if other performance criteria are also thought to be important in the evaluation process such as sensitivity, precision, F-measure, and G-mean. …”
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Research on cardiac image segmentation algorithm based on improved level set modeling by Shuaishuai ZHANG, Ruixia LIU, Ke SHAN, Zhenhua GUO

“…The model demonstrates the ability to quickly generate curves and accurately represent the contours of cardiac images. To evaluate its effectiveness, we conduct comparative experiments using the Dice coefficient and Jaccard index as evaluation metrics. …”
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A Model For Optimization of Knowledge Management Outsourcing Decision Using Genetic Algorithm by Ameneh Khadivar, Fatemeh Abbasi, Sheyda Akbarian

“…Purpose: The purpose of this study is to develop an optimization model for knowledge management outsourcing using a genetic algorithm. This research aims to provide a framework for evaluating and selecting knowledge management service providers, enhancing decision-making processes for organizational managers.Methodology: This research is developmental-applied in terms of its objective and descriptive-survey in terms of data collection method. …”
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Using an Algorithm to Choose the Surgical Tactics for the Treatment of Periprosthetic Infection of Large Joints by A. N. Grishchuk, S. N. Leonova, A. L. Kameka

“…In 20 patients of the second group, the treatment tactics were determined using the proposed algorithm. The proposed algorithm for choosing surgical tactics for periprosthetic infection includes determining the degree of risk of maintaining the infectious process in the area of the prosthetic joint after the proposed surgical treatment and evaluating additional criteria.Results. …”
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A New Algorithm to Analyze the Video Data of Cell Contractions in Microfluidic Platforms by Nikolay Nikolov, Roberta Visone, Igor Nesteruk, Marco Rasponi, Alberto Redaelly

“…Moreover, it allows for decomposing the mechanical oscillations of cells into components. The algorithm has been used to evaluate the change in the contraction rate of cardiomyocytes cultured in a lab-on-chip, as a function of voltage intensity and excitation frequency under different experimental conditions. …”
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Frost Resistance Prediction of Concrete Based on Dynamic Multi-Stage Optimisation Algorithm by Xuwei Dong, Jiashuo Yuan, Jinpeng Dai

“…To predict the frost resistance of concrete more accurately, based on the four ensemble learning models of random forest (RF), adaptive boosting (AdaBoost), categorical boosting (CatBoost), and extreme gradient boosting (XGBoost), this paper optimises the ensemble learning models by using a dynamic multi-stage optimisation algorithm (DMSOA). These models are trained using 7090 datasets, which use nine features as input variables; relative dynamic elastic modulus (RDEM) and mass loss rate (MLR) as prediction indices; and six indices of the coefficient of determination (R²), mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE), correlation coefficient (CC), and standard deviation ratio (SDR) are selected to evaluate the models. …”
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SE-ResNet based disturbance identification algorithm for microthrust measurement system by Mingming Han

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Optimal Allocation and Sizing of Electrical Substations Using an Improved Black Widow Algorithm by Nathan de Oliveira Valim, Clainer Bravin Donadel

“…Two mutation methods were evaluated: the original BWA mutation and a genetic algorithm-inspired mutation incorporated into the BWA algorithm (GA mutation). …”
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Sharpbelly Fish Optimization Algorithm: A Bio-Inspired Metaheuristic for Complex Engineering by Jian Liu, Rong Wang, Yonghong Deng, Xiaona Huang, Zhibin Li

“…This paper introduces a novel bio-inspired metaheuristic algorithm, named the sharpbelly fish optimizer (SFO), inspired by the collective ecological behaviors of the sharpbelly fish. …”
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Rapid Assessment of the Fatigue Limit Using an Iterative Algorithm Applied to Intrinsic Dissipation by Luca Santoro, Raffaella Sesana, Francesca Maria Curà

“…The aim of this paper is to introduce and validate an iterative algorithm for the rapid assessment of the fatigue limit. …”
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Image target importance recognition method based on visual model and correlation algorithm by Z. Ren, L. Huo, T. Shen, F. Kong

“…Building upon this framework, we introduce an algorithm combining the visual Relevance Assessment Model (Recognize Anything Model:RAM) with personalized PageRank to calculate semantic relevance between urban scenes and their constituent objects. …”
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Robust Algorithm for Calculating the Alignment of Guide Rolls in Slab Continuous Casting Machines by Robert Rosenthal, Nils Albersmann, Mohieddine Jelali

“…Under near ideal conditions, all algorithms yield very accurate position results. However, when tested and evaluated under various conditions, their susceptibility to real-world disturbances is revealed. …”
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Optimization of multi-chamber mufflers with reverse-flow ducts by algorithm of simulated annealing by Ying-Chun CHANG, Min-Chie CHIU

“…In this paper, the four-pole system matrix for evaluating the acoustic performance - sound transmission loss (STL) - is derived by using a decoupled numerical method. …”
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Multi-Scale Attention Fusion Gesture-Recognition Algorithm Based on Strain Sensors by Zhiqiang Zhang, Jun Cai, Xueyu Dai, Hui Xiao

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Presenting a Proper Ensemble Clustering (EC) Method Based on Hierarchical Methods and Classical Generative Algorithms by Zahra Sahebkaram, Alireza Norouzi

“…This combination was done based on correlation matrix. The basic algorithms were combined as binary and triplicate and the results were evaluated as well. the IMDB film dataset were clustered based on existing features. …”
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Features extraction based on Naive Bayes algorithm and TF-IDF for news classification. by Li Zhang

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Algorithm for Processing Measurements of External Respiration Parameters Using Motion Capture Systems by A. V. Drozdova, A. N. Tkachenko, E. M. Skrebova, I. A. Sakun

“…Assessment of respiratory parameters, such as breathing frequency, is an important component in evaluating the overall state of the respiratory system. …”
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