Results 71 to 80 of about 414,443 (278)
Modelling on Car-Sharing Serial Prediction Based on Machine Learning and Deep Learning
The car-sharing system is a popular rental model for cars in shared use. It has become particularly attractive due to its flexibility; that is, the car can be rented and returned anywhere within one of the authorized parking slots.
Nihad Brahimi +3 more
doaj +1 more source
To increase launching frequency and decrease drag force of underwater projectiles, a serial multi-projectiles structure based on the principle of supercavitation is proposed in this paper.
Xi Huang, Cheng Cheng, Xiao-bing Zhang
doaj +1 more source
Garbage collection auto-tuning for Java MapReduce on Multi-Cores [PDF]
MapReduce has been widely accepted as a simple programming pattern that can form the basis for efficient, large-scale, distributed data processing. The success of the MapReduce pattern has led to a variety of implementations for different computational ...
Allen E. +10 more
core +1 more source
Tumor mutational burden as a determinant of metastatic dissemination patterns
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal +4 more
wiley +1 more source
Serial order learning of subliminal visual stimuli: evidence of multistage learning
It is well-known that statistical learning of visual symbol sequences occurs implicitly (Kim et al., 2009). Here, we examined whether people can learn the serial order of the visual symbols when they cannot perceive them. During the familiarization phase,
Kaede eKido, Shogo eMakioka
doaj +1 more source
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Learning and Production of Movement Sequences: Behavioral, Neurophysiological, and Modeling Perspectives [PDF]
A growing wave of behavioral studies, using a wide variety of paradigms that were introduced or greatly refined in recent years, has generated a new wealth of parametric observations about serial order behavior.
Averbeck, Bruno +4 more
core +1 more source
Verbal Learning and Memory After Cochlear Implantation in Postlingually Deaf Adults: Some New Findings with the CVLT-II [PDF]
OBJECTIVES: Despite the importance of verbal learning and memory in speech and language processing, this domain of cognitive functioning has been virtually ignored in clinical studies of hearing loss and cochlear implants in both adults and children ...
Boyce, Lauren +13 more
core +1 more source
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Serial pattern learning during skilled walking [PDF]
Rats possess a rich repertoire of sequentially organized, natural behaviors. It is possible that these natural behaviors may reflect implicit learning or relatively fixed movement patterns. The present study was conducted to determine whether factors known to influence implicit learning produce similar effects on the acquisition of skilled walking ...
Douglas G, Wallace +2 more
openaire +2 more sources

