Results 71 to 80 of about 3,355,993 (333)
Stock Market Prediction via Multi-Source Multiple Instance Learning
IEEE Access, 2018 Forecasting the stock market movements is an important and challenging task. As the Web information grows, researchers begin to extract effective indicators (e.g., the events and sentiments) from the Web to facilitate the prediction.
Xi Zhang +4 more
doaj +1 more source
Distributed monitoring and control of future power systems via grid computing [PDF]
, 2006 It is now widely accepted within the electrical power supply industry that future power systems operates with significantly larger numbers of small-scale highly dispersed generation units that use renewable energy sources and also reduce carbon dioxide ...
Kyberd, P +11 more
core +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
A Multidimensional Trust Evaluation Framework for Online Social Networks Based on Machine Learning
IEEE Access, 2019 Due to the openness of online social networks (OSNs), they have become the most popular platforms for people to communicate with others in the expectation of sharing their opinions in a trustworthy environment. However, individuals are often exposed to a
Xu Chen +3 more
doaj +1 more source
Academic and Distributed Computing Services Training Bulletin, Fall 1997
, 1997 University of Minnesota. Academic and Distributed Computing Services. (1997). Academic and Distributed Computing Services Training Bulletin, Fall 1997.
University of Minnesota. Academic and Distributed Computing Services +1 more
core
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Academic Distributed Computing Services Short Course Bulletin, Winter 1996
, 1996 University of Minnesota. Academic Distributed Computing Services. (1996). Academic Distributed Computing Services Short Course Bulletin, Winter 1996.
University of Minnesota. Academic Distributed Computing Services
core
Support for flexible and transparent distributed computing [PDF]
, 2010 Modern distributed computing developed from the traditional supercomputing community rooted firmly in the culture of batch management. Therefore, the field has been dominated by queuing-based resource managers and work flow based job submission ...
Liu, H.
core
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
On Distributed Computing with Beeps
CoRR, 2015 We consider networks of processes which interact with beeps. Various beeping models are used. The basic one, defined by Cornejo and Kuhn [CK10], assumes that a process can choose either to beep or to listen; if it listens it can distinguish between silence or the presence of at least one beep.
Yves Métivier +2 more
openaire +2 more sources