Results 31 to 40 of about 219,190 (262)

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, Marco Tarabini, Martina Delfino Spiga, Cristina Ferrario, Filippo Bertozzi, Chiarella Sforza, Manuela Galli   +6 more
doaj   +1 more source

Scenario Grouping and Classification Methodology for Postprocessing of Data Generated by Integrated Deterministic-Probabilistic Safety Analysis

Science and Technology of Nuclear Installations, 2015
Integrated Deterministic-Probabilistic Safety Assessment (IDPSA) combines deterministic model of a nuclear power plant with a method for exploration of the uncertainty space. Huge amount of data is generated in the process of such exploration. It is very
Sergey Galushin, Pavel Kudinov
doaj   +1 more source

Early warning system for coffee rust disease based on error correcting output codes: a proposal

Revista Ingenierías Universidad de Medellín, 2015
Colombian coffee producers have had to face the severe consequences of the coffee rust disease since it was first reported in the country in 1983.
David Camilo Corrales, Andrés J. Peña Q, Carlos León, Apolinar Figueroa, Juan Carlos Corrales   +4 more
doaj   +1 more source

A Local Approach to Studying the Time and Space Complexity of Deterministic and Nondeterministic Decision Trees

CoRR, 2023
In this paper, we study arbitrary infinite binary information systems each of which consists of an infinite set called universe and an infinite set of two-valued functions (attributes) defined on the universe. We consider the notion of a problem over information system, which is described by a finite number of attributes and a mapping associating a ...
Kerven Durdymyradov, Mikhail Moshkov
openaire   +3 more sources

A Review of Data-Driven Approaches for Measurement and Verification Analysis of Building Energy Retrofits

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
doaj   +1 more source

AQMDRL: Automatic Quality of Service Architecture Based on Multistep Deep Reinforcement Learning in Software-Defined Networking

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, Cenhuishan Liao, Yong Wang, Lei Jin, Xiaoye Lu, Xiaolan Xie, Rui Yao   +6 more
doaj   +1 more source

100% Renewable Heating by 2033: Pathways for a French Urban Heating Network under uncertainty and flexibility [PDF]

E3S Web of Conferences
We study strategic pathways to achieve 100% renewable in Grenoble Metropolitan Aria, the second largest heating network in France. More specifically, we use a real options approach to investigate the optimal planning of potentially available energy ...
Ionescu Oana, Khalfallah Haikel, Bidaud Adrien   +2 more
doaj   +1 more source

Proof complexity of positive branching programs [PDF]

Logical Methods in Computer Science
We investigate the proof complexity of systems based on positive branching programs, i.e. non-deterministic branching programs (NBPs) where, for any 0-transition between two nodes, there is also a 1-transition.
Anupam Das, Avgerinos Delkos
doaj   +1 more source

Beyond Visual Scoring: Computational Computed Tomography Analysis for High‐Resolution Computed Tomography–Based Quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

Arthritis Care &Research, EarlyView.
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil, Tobias Hoffmann, Ulf Teichgräber, Diane Renz, Denise Beckmann, Gunter Wolf, Nicole Schadewaldt, Bianca Lassen‐Schmidt   +7 more
wiley   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source