Results 51 to 60 of about 30,090,669 (294)

Efficient Astronomical Data Condensation Using Approximate Nearest Neighbors

International Journal of Applied Mathematics and Computer Science, 2019
Extracting useful information from astronomical observations represents one of the most challenging tasks of data exploration. This is largely due to the volume of the data acquired using advanced observational tools.
Łukasik Szymon, Lalik Konrad, Sarna Piotr, Kowalski Piotr A., Charytanowicz Małgorzata, Kulczycki Piotr   +5 more
doaj   +1 more source

Turnout Monitoring with Vehicle Based Inertial Measurements of Operational Trains: A Machine Learning Approach

Communications, 2019
A machine learning approach for the recent detection of crossing faults is presented in the paper. The basis for the research are the data of the axle box inertial measurements on operational trains with the system ESAH-F.
Mykola Sysyn, Dimitri Gruen, Ulf Gerber, Olga Nabochenko, Vitalii Kovalchuk   +4 more
doaj   +1 more source

Metavariables Resuming Host Immune Features and Nodal Involvement Are Associated with Oncological Outcomes in Oral Cavity Squamous Cell Carcinoma

Cells, 2021
Oral cavity squamous cell carcinoma (OSCC) is a common head and neck cancer characterized by a poor prognosis associated with locoregional or distant failure.
Francesco Missale, Mattia Bugatti, Davide Mattavelli, Silvia Lonardi, Davide Lombardi, Piero Nicolai, Cesare Piazza, Simonetta Battocchio, Anna Maria Bozzola, Stefano Calza, William Vermi   +10 more
doaj   +1 more source

Hadoop Data Reduction Framework: Applying Data Reduction at the DFS Layer

IEEE Access, 2021
Big-data processing systems such as Hadoop, which usually utilize distributed file systems (DFSs), require data reduction schemes to maximize storage space efficiency. These schemes have different tradeoffs, and there are no all-purpose schemes applicable to all data. Users must select a suitable scheme in accordance with their data.
Ryan Nathanael Soenjoto Widodo, Hirotake Abe, Kazuhiko Kato   +2 more
openaire   +2 more sources

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben, Marisa H. Huisman, Martha A. Grootenhuis, Femke K. Aarsen, Marita Partanen   +4 more
wiley   +1 more source

Data-Driven Optimization of Healthcare Recommender System Retraining Pipelines in MLOps with Wearable IoT Data

Sensors
Personalized healthcare recommender systems are increasingly being deployed in edge AI environments through wearable devices. In such environments, cloud servers leverage high-performance GPUs to train base models, which are then optimized for data ...
Yohan Park, Jonghyeok Mun, Yejung Lee, Jihwan Um, Jongsun Choi, Jaeyoung Choi   +5 more
doaj   +1 more source

An Effective Data Reduction Model for Machine Emergency State Detection from Big Data Tree Topology Structures

International Journal of Applied Mathematics and Computer Science, 2021
This work presents an original model for detecting machine tool anomalies and emergency states through operation data processing. The paper is focused on an elastic hierarchical system for effective data reduction and classification, which encompasses ...
Iaremko Iaroslav, Senkerik Roman, Jasek Roman, Lukastik Petr   +3 more
doaj   +1 more source

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk, Sebastian Michaelis, Michaela Döring, Thomas Eichholz, Ursula Holzer, Martin Ebinger, Tim Flaadt, Rupert Handgretinger, Peter Lang, Jan Frederic Weller, Markus Mezger   +10 more
wiley   +1 more source

An evolutionary algorithm‐based classification method for high‐dimensional imbalanced mixed data with missing information

Electronics Letters
The data scale keeps growing by leaps and the majority of it is high‐dimensional imbalanced data, which is hard to classify. Data missing often happens in software which further aggravates the difficulty of classifying the data.
Yi Liu, Gengsong Li, Qibin Zheng, Guoli Yang, Kun Liu, Wei Qin   +5 more
doaj   +1 more source

Exploring Prognostic and Diagnostic Techniques for Jet Engine Health Monitoring: A Review of Degradation Mechanisms and Advanced Prediction Strategies

Energies, 2023
Maintenance is crucial for aircraft engines because of the demanding conditions to which they are exposed during operation. A proper maintenance plan is essential for ensuring safe flights and prolonging the life of the engines.
Maria Grazia De Giorgi, Nicola Menga, Antonio Ficarella   +2 more
doaj   +1 more source