Results 31 to 40 of about 86,158 (257)
Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data [PDF]
Atmospheric Measurement Techniques, 2017 The detection of convective initiation (CI) is very important because convective clouds bring heavy rainfall and thunderstorms that typically cause severe socio-economic damage.
S. Lee +4 more
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Process model comparison based on cophenetic distance [PDF]
, 2016 The automated comparison of process models has received increasing attention in the last decade, due to the growing existence of process models and repositories, and the consequent need to assess similarities between the underlying processes.
A Armas-Cervantes +12 more
core +1 more source
Machine-Learning Based Determination of Gait Events from Foot-Mounted Inertial Units
Sensors, 2021 A promising but still scarcely explored strategy for the estimation of gait parameters based on inertial sensors involves the adoption of machine learning techniques.
Matteo Zago +6 more
doaj +1 more source
On the Computational Power of Radio Channels [PDF]
, 2019 Radio networks can be a challenging platform for which to develop distributed algorithms, because the network nodes must contend for a shared channel. In some cases, though, the shared medium is an advantage rather than a disadvantage: for example, many ...
Braverman, Mark +3 more
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Determinising Parity Automata [PDF]
, 2014 Parity word automata and their determinisation play an important role in automata and game theory. We discuss a determinisation procedure for nondeterministic parity automata through deterministic Rabin to deterministic parity automata. We prove that the
Schewe, Sven, Varghese, Thomas
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Energies, 2022 Although the energy and cost benefits for retrofitting existing buildings are promising, several challenges remain for accurate measurement and verification (M&V) analysis to estimate these benefits.
Abdurahman Alrobaie, Moncef Krarti
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Separating decision tree complexity from subcube partition complexity [PDF]
, 2015 The subcube partition model of computation is at least as powerful as decision trees but no separation between these models was known. We show that there exists a function whose deterministic subcube partition complexity is asymptotically smaller than ...
Kothari, Robin +2 more
core +2 more sources
Sensors, 2022 Software-defined networking (SDN) has become one of the critical technologies for data center networks, as it can improve network performance from a global perspective using artificial intelligence algorithms.
Junyan Chen +6 more
doaj +1 more source
Universal Communication, Universal Graphs, and Graph Labeling [PDF]
, 2019 We introduce a communication model called universal SMP, in which Alice and Bob receive a function f belonging to a family ?, and inputs x and y. Alice and Bob use shared randomness to send a message to a third party who cannot see f, x, y, or the shared
Harms, Nathaniel
core +2 more sources
Studies in Logic, Grammar and Rhetoric, 2013 The figures visualizing single and combined classifiers coming from decision trees group and Bayesian parametric and nonparametric discriminant functions show the importance of diversity of bagging or boosting combined models and confirm some theoretical
Ćwiklińska-Jurkowska Małgorzata M.
doaj +1 more source