Optimizing the Peritumoral Region Size in Radiomics Analysis for Sentinel Lymph Node Status Prediction in Breast Cancer.
Sign Up to like & getrecommendations! Published in 2020 at "Academic radiology"
DOI: 10.1016/j.acra.2020.10.015
Abstract: RATIONALE AND OBJECTIVES Peritumoral features have been suggested to be useful in improving the prediction performance of radiomic models. The aim of this study is to systematically investigate the prediction performance improvement for sentinel lymph… read more here.
Keywords: prediction performance; prediction; peritumoral features; breast cancer ... See more keywords
Investigating the need for preprocessing of near-infrared spectroscopic data as a function of sample size
Sign Up to like & getrecommendations! Published in 2020 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2020.104105
Abstract: Abstract Preprocessing of near-infrared (NIR) spectra is an essential part of multivariate calibration. It mainly aims to remove artefacts caused during measurement to improve prediction performance or interpretation. However, preprocessing can have undesired side-effects. Additionally,… read more here.
Keywords: prediction performance; size; preprocessing near; calibration ... See more keywords
Traffic flow prediction based on combination of support vector machine and data denoising schemes
Sign Up to like & getrecommendations! Published in 2019 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2019.03.007
Abstract: Abstract Traffic flow prediction with high accuracy is definitely considered as one of most important parts in the Intelligent Transportation Systems. As interfering by some external factors, the raw traffic flow data containing noise may… read more here.
Keywords: prediction performance; prediction; traffic; flow prediction ... See more keywords
Prediction of Compound Profiling Matrices, Part II: Relative Performance of Multitask Deep Learning and Random Forest Classification on the Basis of Varying Amounts of Training Data
Sign Up to like & getrecommendations! Published in 2018 at "ACS Omega"
DOI: 10.1021/acsomega.8b01682
Abstract: Currently, there is a high level of interest in deep learning and multitask learning in many scientific fields including the life sciences and chemistry. Herein, we investigate the performance of multitask deep neural networks (MT-DNNs)… read more here.
Keywords: training data; multitask; prediction performance; performance ... See more keywords
Enhanced Prediction Performance of a Neuromorphic Reservoir Computing System Using a Semiconductor Nanolaser With Double Phase Conjugate Feedbacks
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Lightwave Technology"
DOI: 10.1109/jlt.2020.3023451
Abstract: A neuromorphic reservoir computing (RC) system using a semiconductor nanolaser (SNL) with double phase conjugate feedbacks (PCF) is proposed for the first time and demonstrated numerically. The prediction performance of such RC system is investigated… read more here.
Keywords: reservoir computing; prediction performance; system; neuromorphic reservoir ... See more keywords
Characterization and Prediction of Performance Loss and MTTR During Fault Recovery on Scale-Out Storage Using DOE & RSM: A Case Study with Ceph
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cloud Computing"
DOI: 10.1109/tcc.2018.2874054
Abstract: Recognizing the impact from cluster recovery operations on performance and mean time to recovery (MTTR) is essential to maintain service and availability objectives. Testing the impact of recovery operation can reveal a cause-and-effect relationship between… read more here.
Keywords: performance; study; prediction performance; performance loss ... See more keywords
Assessment of ECMWF SEAS5 Seasonal Forecast Performance over South America
Sign Up to like & getrecommendations! Published in 2019 at "Weather and Forecasting"
DOI: 10.1175/waf-d-19-0106.1
Abstract: Seasonal predictions have a great socioeconomic potential if they are reliable and skillful. In this study, we assess the prediction performance of SEAS5, version 5 of the seasonal prediction system of the European Centre for… read more here.
Keywords: temperature; ecmwf seas5; prediction performance; performance ... See more keywords
Prediction performance of reservoir computing system based on a semiconductor laser subject to double optical feedback and optical injection.
Sign Up to like & getrecommendations! Published in 2018 at "Optics express"
DOI: 10.1364/oe.26.010211
Abstract: A reservoir computing (RC) system based on a semiconductor laser (SL) with double optical feedback and optical injection is proposed, and the prediction performance of such a system is numerically investigated via Santa Fe Time-Series… read more here.
Keywords: system; reservoir computing; prediction performance; prediction ... See more keywords
Exosomal RNA Expression Profiles and Their Prediction Performance in Patients With Gestational Diabetes Mellitus and Macrosomia
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Endocrinology"
DOI: 10.3389/fendo.2022.864971
Abstract: Introduction Exosomes are cell-derived vesicles that are present in many biological fluids. Exosomal RNAs in cord blood may allow intercellular communication between mother and fetus. We aimed to establish exosomal RNA expression profiles in cord… read more here.
Keywords: blood; cord blood; prediction performance; expression ... See more keywords
Mechanical ventilation characteristics and their prediction performance for the risk of moderate and severe bronchopulmonary dysplasia in infants with gestational age
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Pediatrics"
DOI: 10.3389/fped.2022.993167
Abstract: Introduction Moderate and severe bronchopulmonary dysplasia (BPD) is a common pulmonary complication in premature infants, which seriously affects their survival rate and quality of life. This study aimed to describe the mechanical ventilation characteristics and… read more here.
Keywords: birth weight; gestational age; moderate severe; prediction performance ... See more keywords