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DNA computing and molecular programming 16th International Conference, DNA 16, Hong Kong, China, June 14-17, 2010 : revised selected papers /
DNA computing and molecular programming 19th International Conference, DNA 2013, Tempe, AZ, USA, September 22-27, 2013, proceedings /

DNA computing 11th international workshop on DNA computing, DNA11, London, on, Canada, june 6-9, 2005 ; revised selected papers /
DNA computing 14th International Meeting on DNA Computing, DNA 14, Prague, Czech Republic, June 2-9, 2008 : revised selected papers /

Comparison of Geostatistical Kriging Algorithms for Intertidal Surface Sediment Facies Mapping with Grain Size Data
Algorithm for the joint analysis of the ECG and PPG signals

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

Algorithm for Primary Full-thickness Skin Grafting in Pediatric Hand Burns
Wearable Sensing of In-Ear Pressure for Heart Rate Monitoring with a Piezoelectric Sensor

Identification of Clinical Mold Isolates by Sequence Analysis of the Internal Transcribed Spacer Region, Ribosomal Large-Subunit D1/D2, and β-Tubulin
The Impact of Markov Chain Convergence on Estimation of Mixture IRT Model Parameters

Development of an Optimal Power Control Scheme for Wave-Offshore Hybrid Generation Systems
A Novel Design Method for the Geometric Shapes of Flux Modulation Poles in the Surface-Mounted Permanent Magnet Vernier Machines

Chapter Improving BIM Authoring Process Reproducibility with Enhanced BIM Logging
OS09.1 Radiosensitivity gene signature and PD-L1 status predict clinical outcome of patients with lower grade glioma in the Cancer Genome Atlas (TCGA) Dataset

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