Results 41 to 50 of about 50,356,783 (293)
Prediction of SMEs’ R&D performances by machine learning for project selection
Scientific Reports, 2023 To improve the efficiency of government-funded research and development (R&D) programs for small and medium enterprises, it is necessary to make the process of selecting beneficiary firm objective.
Hyoung Sun Yoo +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo +9 more
wiley +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Due to the extremely complex composition of remote sensing scenes, REmote Sensing Image Scene Classification (RESISC) is still a challenging task. To further improve classification accuracy, this article introduces a deep-learning detector into RESISC ...
Xiaoliang Yang +5 more
doaj +1 more source
Data for: Sex Differences in Perceptual Hand Maps: A Meta-Analysis
, 2019 The file 'Data_MeansBySex.csv' includes the experiment-level data used in the main meta-analysis.The file 'Data_IndivParticipants.csv' includes the data from individual participants used in the mixed-effects models ...
Longo, M (via Mendeley Data) +2 more
core +1 more source
Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine +17 more
wiley +1 more source
Multimodal Video Analysis for Crowd Anomaly Detection Using Open Access Tourism Cameras
Applied SciencesIn this article, we propose the detection of crowd anomalies through the extraction of information in the form of time series in video format using a multimodal approach.
Alejandro Dionis-Ros +4 more
doaj +1 more source
Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids
Pediatric Blood &Cancer, EarlyView.ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz +12 more
wiley +1 more source
Applied Computational Intelligence and Soft ComputingAlzheimer’s disease (AD) is a chronic, advanced brain sickness disease that slowly destroys memory and thinking skills and, in the end, the ability to perform routine tasks.
Sadia Khalil +5 more
doaj +1 more source
Detection and identification of tea leaf diseases based on AX-RetinaNet
Scientific Reports, 2022 The accurate detection and identification of tea leaf diseases are conducive to its precise prevention and control. Convolutional neural network (CNN) can automatically extract the features of diseased tea leaves in the images.
Wenxia Bao +4 more
doaj +1 more source
Reconstruction of Ultra-High Vacuum Mass Spectra Using Genetic Algorithms
Applied Sciences, 2021 In ultra-high vacuum systems, obtaining the composition of a mass spectrum is often a challenging task due to the highly overlapping nature of the individual profiles of the gas species that contribute to that spectrum, as well as the high differences in
Carlos Flores-Garrigós +5 more
doaj +1 more source