Results 31 to 40 of about 35,639,582 (304)

Mitigation of model error effects in neural network-based structural damage detection

Frontiers in Built Environment, 2023
This paper proposes a damage detection procedure based on neural networks that is able to account for the model error in the network training. Vibration-based damage detection procedures relied on machine learning techniques hold great promises for the ...
Federico Ponsi, Elisa Bassoli, Loris Vincenzi   +2 more
doaj   +1 more source

A Geometric Significance-Aware Deep Mutual Learning Network for Building Extraction from Aerial Images

Drones
Knowledge-driven building extraction method exhibits a restricted adaptability scope and is vulnerable to external factors that affect its extraction accuracy.
Ming Hao, Huijing Lin, Shilin Chen, Weiqiang Luo, Hua Zhang, Nanshan Zheng   +5 more
doaj   +1 more source

An Approach To Mode and Anomaly Detection with Spacecraft Telemetry Data

International Journal of Prognostics and Health Management, 2016
This paper discusses a mixed method that combines unsupervised learning methods and human expert input for analyzing telemetry data from long-duration robotic space missions.
Gautam Biswas, Hamed Khorasgani, Gerald Stanje, Abhishek Dubey, Somnath Deb, Sudipto Ghoshal   +5 more
doaj   +1 more source

Predicting personal thermal preferences based on data-driven methods [PDF]

E3S Web of Conferences, 2019
One of the prevalent models to account for thermal comfort in HVAC design is the Predicted Mean Vote (PMV). However, the model is based on parameters difficult to estimate in real applications and it focuses on mean votes of large groups of people ...
Aguilera José Joaquín, Toftum Jørn, Berk Kazanci Ongun   +2 more
doaj   +1 more source

Data‐driven Methods for Modeling Social Perception [PDF]

Social and Personality Psychology Compass, 2011
Abstract How do we model the complexity of social perception? A major methodological problem is that the space of possible variables driving social perceptions is infinitely large, thus posing an insurmountable hurdle for conventional approaches.
Todorov, A.T., Dotsch, R., Wigboldus, D.H.J., Said, C.P.   +3 more
openaire   +1 more source

Data-Driven Modeling, Filtering and Control: Methods and Applications

, 2019
The scientific research in many engineering fields has been shifting from traditional first-principle-based to data-driven or evidence-based theories. The latter methods may enable better system design, based on more accurate and verifiable information ...
Formentin, Simone, Novara, Carlo, Rojas, Cristian R.,, Müller, Matias I., Bemporad, A.   +4 more
core   +1 more source

Evaluating Economic and Clinical Impacts of Anaemia Management Strategies: A Systematic Review of the Evidence From the UK Perspective

eJHaem
Background Anaemia significantly affects health outcomes and quality of life. While blood transfusion remains a common intervention, alternative treatments, such as iron supplementation and erythropoiesis‐stimulating agents (ESAs), offer potential to ...
Hiro Farabi, Florian Tomini, Hayley Evans, Michael F. Murphy, Laura Green, Paula Dhiman, Gianluca Fabiano, Antony J. R. Palmer, Linda vonNeree, Simon J. Stanworth   +9 more
doaj   +1 more source

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo, Shehu Umar Abdullahi, Hassan Adam Murtala, Halima Kabir, Khadija A. Shamsu, Sari A. Acra, Virginia A. Stallings, Mark Rodeghier, Michael R. DeBaun, Lauren J. Klein   +9 more
wiley   +1 more source

A data driven approach to the absolute stabilization and its extension to non Euclidean norms

, 2023
openL'argomento considerato nella tesi è un'estensione data-driven alla soluzione del problema di stabilizzazione assoluta per un sistema Lur'e. L'approccio basato data-driven verrà esaminato in dettaglio insieme alla derivazione della disequazione ...
SALATINI, GILBERTO
core  

Data-Driven Control: theory and applications [PDF]

, 2022
openLo scopo di questa tesi è studiare le tecniche di Data-Driven Control, in particolare viene studiato il problema di controllo attraverso il Data Driven Predictve Control.
OLIVIERO, ALESSANDRA
core