Results 21 to 30 of about 1,997,899 (287)
Vanderbilt University Institute of Imaging Science Center for Computational Imaging XNAT: A multimodal data archive and processing environment [PDF]
The Vanderbilt University Institute for Imaging Science (VUIIS) Center for Computational Imaging (CCI) has developed a database built on XNAT housing over a quarter of a million scans. The database provides framework for (1) rapid prototyping, (2) large scale batch processing of images and (3) scalable project management.
Robert L. Harrigan +9 more
openaire +2 more sources
Students’ problem-solving strategies and the differences among strategy groups were explored by analyzing the process data collected during student interactions with computer-based science items. Data were gathered from 1516 eleventh-grade students from 4 schools in China.
Pingping Zhao +5 more
openaire +1 more source
LogEvent2vec: LogEvent-to-Vector Based Anomaly Detection for Large-Scale Logs in Internet of Things
Log anomaly detection is an efficient method to manage modern large-scale Internet of Things (IoT) systems. More and more works start to apply natural language processing (NLP) methods, and in particular word2vec, in the log feature extraction.
Jin Wang +6 more
doaj +1 more source
Air pollution is the result of comprehensive evolution of a dynamic and complex system composed of emission sources, topography, meteorology and other environmental factors. The establishment of spatiotemporal evolution model is of great significance for
Yang Liu +5 more
doaj +1 more source
Text Mining for Processing Interview Data in Computational Social Science
We use commercially available text analysis technology to process interview text data from a computational social science study. We find that topical clustering and terminological enrichment provide for convenient exploration and quantification of the responses.
Karlgren, Jussi +2 more
openaire +2 more sources
A survey of outlier detection methodologies [PDF]
Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data. Outliers arise due to mechanical faults, changes in system behaviour, fraudulent behaviour, human error, instrument error or simply ...
Austin, J., Hodge, V.J.
core +5 more sources
Finetuning pre-trained deep neural networks (DNN) delicately designed for large-scale natural images may not be suitable for medical images due to the intrinsic difference between the datasets.
Qingge Ji +3 more
doaj +1 more source
Four lectures on probabilistic methods for data science
Methods of high-dimensional probability play a central role in applications for statistics, signal processing theoretical computer science and related fields.
Vershynin, Roman
core +1 more source
Models of data and their processing for introductory courses of computer science
<p class="R-AbstractKeywords">Evolution of secondary school course on Informatics during 1990s is discussed. This evolution gave for secondary school graduates rather high level knowledge of applications usage. On the other hand Informatics became purely pragmatic matter within generally academic nature of secondary school curricula.
Kryshchuk, Mikola +2 more
openaire +4 more sources
Accurate semantic segmentation of indoor architectural elements, such as staircases and elevators, is critical for safe and efficient robotic navigation, particularly in complex multi-floor environments.
Zihan Zhu +3 more
doaj +1 more source

