Results 81 to 90 of about 403,268 (198)
ISPRS International Journal of Geo-Information, 2019 The topic of technology development and its disruptive effects has been the subject of much debate over the last 20 years with numerous theories at both macro and micro scales offering potential models of technology progression and disruption. This paper
Roger C. Brackin +3 more
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Predictable Disruption Tolerant Networks and Delivery Guarantees
, 2006 This article studies disruption tolerant networks (DTNs) where each node knows the probabilistic distribution of contacts with other nodes. It proposes a framework that allows one to formalize the behaviour of such a network. It generalizes extreme cases that have been studied before where (a) either nodes only know their contact frequency with each ...
Francois, Jean-Marc, Leduc, Guy
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Multiobjective Tactical Planning under Uncertainty for Air Traffic Flow and Capacity Management [PDF]
, 2013 We investigate a method to deal with congestion of sectors and delays in the tactical phase of air traffic flow and capacity management. It relies on temporal objectives given for every point of the flight plans and shared among the controllers in order ...
Marceau, Gaétan +2 more
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Multiverse Understanding of Cosmological Coincidences
, 2009 There is a deep cosmological mystery: although dependent on very different underlying physics, the timescales of structure formation, of galaxy cooling (both radiatively and against the CMB), and of vacuum domination do not differ by many orders of ...
G. Efstathiou +6 more
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A Review of Traditional and Data-Driven Approaches for Disruption Prediction in Different Tokamaks [PDF]
E3S Web of ConferencesTokamak is a nuclear fusion reactor; inside, the two lighter nuclei known as deuterium and tritium are first ionized together to form plasma, which is heated up to 150 million degrees Celsius, and then they are confined by the torus-shaped magnetic field.
Priyanka M., Sangeetha J., Jayakumar C.
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A Computational Model Predicting Disruption of Blood Vessel Development
PLoS Computational Biology, 2013 Vascular development is a complex process regulated by dynamic biological networks that vary in topology and state across different tissues and developmental stages. Signals regulating de novo blood vessel formation (vasculogenesis) and remodeling (angiogenesis) come from a variety of biological pathways linked to endothelial cell (EC) behavior ...
Nicole Kleinstreuer +7 more
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Frontiers in PhysicsIntroduction: This work explores the use of eXplainable artificial intelligence (XAI) to analyze a convolutional neural network (CNN) trained for disruption prediction in tokamak devices and fed with inputs composed of different physical quantities ...
L. Bonalumi +11 more
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An investigation of factors influencing disrupted sleep in university students
فصلنامه دانشگاه علوم پزشکی جهرم, 2013 Introduction: Sleep disruption is one of the psychosocial issues among college students which might adversely affect their lives. This study examines the role of individual and psychosocial factors and intensive scholastic schedule in disrupted sleep ...
Ishagh Rahimian Boogar +1 more
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Machine learning based disruption prediction using long short-term memory in KSTAR
Nuclear FusionThis study presents a machine learning model for predicting plasma disruptions using the KSTAR database. The model employs a long short-term memory (LSTM) network to capture temporal patterns in zero-dimensional plasma signals.
Jeongwon Lee +7 more
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The Astrophysical Journal LettersSupermassive black hole (SMBH) growth plausibly occurs via runaway astrophysical black hole mergers in nuclear star clusters that form intermediate mass black hole seeds at high redshifts.
Konstantinos Kritos, Joseph Silk
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