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Multidimensional Dynamic Programming Algorithm for N-Level Batching with Hierarchical Clustering Structure
Parallel Tracking and Mapping for Controlling VTOL Airframe

Fast Search Method Based on Vector Quantization for Raman Spectroscopy Identification
A SNaPshot Assay for Determination of the Mannose-Binding Lectin Gene Variants and an Algorithm for Calculation of Haplogenotype Combinations

Mortality prediction of patients in intensive care units using machine learning algorithms based on electronic health records
Adaptable fuzzy C-Means for improved classification as a preprocessing procedure of brain parcellation

Billet Straightening by Three-Point Bending and Its Automation
Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort

Correction: Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort
Analysis of falsely elevated risk of ovarian malignancy algorithm in women with ovarian endometrioma

Validation of administrative health data for the pediatric population: a scoping review
Determination of Necessary Subsidiary Track According to Train Operation Frequency in a Heterogeneous Train Pattern

Numerical results for the multiobjective trust region algorithm MHT
Diagnostic performance of CA 125, HE4, and risk of Ovarian Malignancy Algorithm for ovarian cancer

Artificial Intelligence for the Prediction of Helicobacter Pylori Infection in Endoscopic Images: Systematic Review and Meta-Analysis Of Diagnostic Test Accuracy
Computation of Pressure Fields around a Two-Dimensional Circular Cylinder Using the Vortex-In-Cell and Penalization Methods

A Scalable Implementation of Anonymous Voting over Ethereum Blockchain
Sarcopenia feature selection and risk prediction using machine learning: A cross-sectional study

Experimental algorithms 8th International Symposium SEA 2009, Dortmund, Germany, June 4-6, 2009 : proceedings /
Prediction of Poststroke Depression Based on the Outcomes of Machine Learning Algorithms

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