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jang » jan (Recherche élargie), jing (Recherche élargie), jung (Recherche élargie)
Résultat(s) 1 - 20 résultats de 1 324 pour la requête '(((jang OR jaha) algorithm) OR ((((datja OR datjava) algorithm) OR ((jay OR java) algorithm))))', Temps de recherche: 0,60s Affiner les résultats
State Estimation of the Time-Varying and Spatially Localized Concentration of Signal Molecules from the Stochastic Adsorption Dynamics on the Carbon Nanotube-Based Sensors and Its Application to Tumor Cell Detection
Modern technologies and algorithms for scaffolding assembled genomes

Comparison of Geostatistical Kriging Algorithms for Intertidal Surface Sediment Facies Mapping with Grain Size Data
Computational Algorithms that Effectively Reduce Report Defects in Surgical Pathology

PS2-51: Comparison of Two Different Methods of Classifying Periodontal Disease Severity
Quantifying Oldowan Stone Tool Production at Olduvai Gorge, Tanzania

Atlas of diabetes
Run-off election-based decision method for the training and inference process in an artificial neural network

A Sustainable Supply Chain Network Model Considering Carbon Neutrality and Personalization
Analysis of Surface Plasmon Resonance Curves with a Novel Sigmoid-Asymmetric Fitting Algorithm

IPSCL: An Accurate Indoor Positioning Algorithm Using Sensors and Crowdsourced Landmarks
A Large-Scale Open Motion Dataset (KFall) and Benchmark Algorithms for Detecting Pre-impact Fall of the Elderly Using Wearable Inertial Sensors

The use of a multiobjective evolutionary algorithm to increase flexibility in the search for better IMRT plans
A hierarchical evolutionary algorithm for multiobjective optimization in IMRT

Algorithm for Primary Full-thickness Skin Grafting in Pediatric Hand Burns
Algorithm for Primary Full-thickness Skin Grafting in Pediatric Hand Burns

Comparison of Two Highly Automated ECG Algorithms for Detection of Drug‐Induced Cardiac Ion Channel Block
Model Image-Based Metal Artifact Reduction for Computed Tomography

Factor analysis of ancient population genomic samples
Predicting mRNA Abundance Directly from Genomic Sequence Using Deep Convolutional Neural Networks

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