Results 31 to 40 of about 28,091,365 (305)

Gaussian Process Surrogates for Modeling Uncertainties in a Use Case of Forging Superalloys

Applied Sciences, 2022
The avoidance of scrap and the adherence to tolerances is an important goal in manufacturing. This requires a good engineering understanding of the underlying process. To achieve this, real physical experiments can be conducted.
Johannes G. Hoffer, Bernhard C. Geiger, Roman Kern   +2 more
doaj   +1 more source

Typical data for evaluating the heat-driven and electric driven district cooling approaches from energy planning point of view.

, 2022
The data are typically usable for regenerating the method of evaluating the heat-driven and electric-driven district cooling approaches from an energy planning point of view.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE.
Abushamah, H (via Mendeley Data), Abushamah, Hussein   +1 more
core   +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

Adaptive Finite-Time Command Filtered Fault-Tolerant Control for Uncertain Spacecraft with Prescribed Performance

Complexity, 2018
In this paper, an adaptive finite-time fault-tolerant control scheme is proposed for the attitude stabilization of rigid spacecrafts. A first-order command filter is presented at the second step of the backstepping design to approximate the derivative of
Zhongtian Chen, Qiang Chen, Xiongxiong He, Mingxuan Sun   +3 more
doaj   +1 more source

Self-supervised optimization of random material microstructures in the small-data regime

npj Computational Materials, 2022
While the forward and backward modeling of the process-structure-property chain has received a lot of attention from the materials’ community, fewer efforts have taken into consideration uncertainties.
Maximilian Rixner, Phaedon-Stelios Koutsourelakis   +1 more
doaj   +1 more source

Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks

IEEE Access, 2023
Physics-informed neural networks (PINNs) have emerged as a promising deep learning method, capable of solving forward and inverse problems governed by differential equations.
Franz M. Rohrhofer, Stefan Posch, Clemens Gobnitzer, Bernhard C. Geiger   +3 more
doaj   +1 more source

stefdeli/Data-driven-Adaptive-Benders-Decomposition: Data-Driven Adaptive Benders Decomposition

, 2019
Python codes and data from the paper ``Data-driven Adaptive Benders Decomposition for the Stochastic Unit Commitment ...
Stefanos Delikaraoglou
core   +1 more source

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine, Hallie Coltin, Sylvia Cheng, Lucie Lafay‐Cousin, Vanan Issai Magimairajan, Craig Erker, Stéphanie Vairy, Lynette Bowes, Adam Fleming, Donna Johnston, Sarah McKillop, Roona Sinha, Julie Bennett, Christina Coleman, Laura Wheaton, Shayna Zelcer, Samuele Renzi, Thai Hoa Tran   +17 more
wiley   +1 more source

Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma

Nature Communications
Pediatric low-grade gliomas (pLGGs) exhibit heterogeneous prognoses and variable responses to treatment, leading to tumor progression and adverse outcomes in cases where complete resection is unachievable. Early prediction of treatment responsiveness and
Anahita Fathi Kazerooni, Adam Kraya, Komal S. Rathi, Meen Chul Kim, Arastoo Vossough, Nastaran Khalili, Ariana M. Familiar, Deep Gandhi, Neda Khalili, Varun Kesherwani, Debanjan Haldar, Hannah Anderson, Run Jin, Aria Mahtabfar, Sina Bagheri, Yiran Guo, Qi Li, Xiaoyan Huang, Yuankun Zhu, Alex Sickler, Matthew R. Lueder, Saksham Phul, Mateusz Koptyra, Phillip B. Storm, Jeffrey B. Ware, Yuanquan Song, Christos Davatzikos, Jessica B. Foster, Sabine Mueller, Michael J. Fisher, Adam C. Resnick, Ali Nabavizadeh   +31 more
doaj   +1 more source

TP-CRIV: A Framework for Third-Party Challenge-Response Identity Verification of AI Models

IEEE Access
Artificial intelligence (AI) models are increasingly deployed through remote services, making model misappropriation a growing concern. Existing approaches, including watermarking, fingerprinting, and model similarity analysis, primarily rely on ...
Teruki Sano, Minoru Kuribayashi, Masao Sakai, Shuji Isobe, Eisuke Koizumi, Zhang Zhang, Satoru Matsumoto   +6 more
doaj   +1 more source