Results 31 to 40 of about 1,958,622 (342)
MultiSec: Multi-Task Deep Learning Improves Secreted Protein Discovery in Human Body Fluids
Prediction of secreted proteins in human body fluids is essential since secreted proteins hold promise as disease biomarkers. Various approaches have been proposed to predict whether a protein is secreted into a specific fluid by its sequence.
Kai He, Yan Wang, Xuping Xie, Dan Shao
doaj +1 more source
A probabilistic data association based MIMO detector using joint detection of consecutive symbol vectors [PDF]
A new probabilistic data association (PDA) approach is proposed for symbol detection in spatial multiplexing multiple-input multiple-output (MIMO) systems.
Lv, Tiejun +4 more
core +1 more source
A Well-Overflow Prediction Algorithm Based on Semi-Supervised Learning
Oil drilling is the core process of oil and natural gas resources exploitation. Well overflow is one of the biggest threats to safety drilling. Prediction of the overflow in advance can effectively avoid the occurrence of this kind of accident.
Wei Liu +4 more
doaj +1 more source
Diversity Analysis of Symbol-by-Symbol Linear Equalizers
In frequency-selective channels linear receivers enjoy significantly-reduced complexity compared with maximum likelihood receivers at the cost of performance degradation which can be in the form of a loss of the inherent frequency diversity order or ...
Al-Dhahir, Naofal +2 more
core +1 more source
Although growing evidence shows that microRNA (miRNA) regulates plant growth and development, miRNA regulatory networks in plants are not well understood. Current experimental studies cannot characterize miRNA regulatory networks on a large scale.
Haowu Chang +17 more
doaj +1 more source
Semiclassical Analysis of the Wigner $12j$ Symbol with One Small Angular Momentum
We derive an asymptotic formula for the Wigner $12j$ symbol, in the limit of one small and 11 large angular momenta. There are two kinds of asymptotic formulas for the $12j$ symbol with one small angular momentum.
A. P. Yutsis +6 more
core +1 more source
Graphic Symbol Recognition using Graph Based Signature and Bayesian Network Classifier
We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image analysis and is at heart of most graphic recognition systems. Our method uses
Brouard, Thierry +2 more
core +2 more sources
Recent research on social movements have shown the significant role protest symbols play in mobilizing action and constructing a shared identity for a group pressing for social change. The present article gives an overview of crowd and social movement theories that focus on how symbols form and maintain groups.
Sarah H Awad, Brady Wagoner
openaire +3 more sources
Symbol Emergence in Robotics: A Survey [PDF]
Humans can learn the use of language through physical interaction with their environment and semiotic communication with other people. It is very important to obtain a computational understanding of how humans can form a symbol system and obtain semiotic
Asoh, Hideki +5 more
core +1 more source
Narrative Potential of Picture-Book Apps: A Media- and Interaction-Oriented Study
Digital literature is playing an increasingly important role in children's everyday lives and opening up new paths for family literacy and early childhood education.
Claudia Müller-Brauers +5 more
doaj +1 more source

