Results 121 to 130 of about 7,710 (298)

A note on Ahlers and Lewis' representation of the best linear unbiased estimator in the general Gauss-Markoff model [PDF]

, 1980
JERZY K. BAKSALARY, Radosław Kala
openalex   +1 more source

THE BEST LINEAR UNBIASED ESTIMATORS OF REGRESSION COEFFICIENTS IN A MULTIVARIATE GROWTH-CURVE MODEL. A COORDINATE-FREE APPROACH

, 2023
Gabriela Beganu
openalex   +2 more sources

A Fuzzy Risk Assessment Approach Based on Z‐Numbers for Enhancing Safety and Human‐Robot Collaboration in Automotive Sector

Advanced Intelligent Systems, EarlyView.
A novel risk assessment approach that integrates the fuzzy set theory and Z‐numbers with multicriteria decision‐making techniques (Delphi, decision‐making trial and evaluation laboratory, analytic network process, and VIseKriterijumska Optimizacija I Kompromisno Resenje) to manage uncertainty and prioritize human–robot collaboration risks. A real‐world
Emine Bozkus, İhsan Kaya
wiley   +1 more source

A companion to the preclinical common data elements and case report forms for in vivo rodent neuroimaging: A report of the TASK3‐WG3 Neuroimaging Working Group of the ILAE/AES Joint Translational Task Force

Epilepsia Open, EarlyView., 2022
Abstract The International League Against Epilepsy/American Epilepsy Society (ILAE/AES) Joint Translational Task Force established the TASK3 working groups to create common data elements (CDEs) for various aspects of preclinical epilepsy research studies, which could help improve the standardization of experimental designs.
Erwin A. van Vliet, Riikka Immonen, Ofer Prager, Alon Friedman, Jens P. Bankstahl, David K. Wright, Terence J. O'Brien, Heidrun Potschka, Olli Gröhn, Neil G. Harris   +9 more
wiley   +1 more source

Adapting Image‐Based Models for 1D Data via Spider Plot Transformation and Transfer Learning

Advanced Intelligent Systems, EarlyView.
A novel method enables the use of pretrained image‐based neural networks for complex 1D data, including Raman and mid‐infrared spectra, electrocardiograms, and mass spectrometry. 2D spider plots with false‐color fill enable transfer lerning, therefore enhancing data augmentation and model explainability across diverse spectral and time series datasets.
Azadeh Mokari, Oleg Ryabchykov, Thomas Bocklitz   +2 more
wiley   +1 more source

A companion to the preclinical common data elements for proteomics, lipidomics, and metabolomics data in rodent epilepsy models. A report of the TASK3‐WG4 omics working group of the ILAE/AES joint translational TASK force

Epilepsia Open, EarlyView., 2022
Abstract The International League Against Epilepsy/American Epilepsy Society (ILAE/AES) Joint Translational Task Force established the TASK3 working groups to create common data elements (CDEs) for various preclinical epilepsy research disciplines.
Laura Bindila, Tore Eid, James D. Mills, Michael S. Hildebrand, Gary P. Brennan, Susan A. Masino, Vicky Whittemore, Piero Perucca, Christopher A. Reid, Manisha Patel, Kevin K. Wang, Erwin A. van Vliet   +11 more
wiley   +1 more source

On The Calculation Of The Average Value Of The Strong Coupling Constant α_s, Using The Best Linear Unbiased Estimator (Blue) Method

, 2022
LAAMRI KALLOUCHE
openalex   +2 more sources

Hi‐LabSpermTracking: A Novel and High‐Quality Sperm Tracking Dataset with an Advanced Ensemble Detection and Tracking Approach for Real‐World Clinical Scenarios

Advanced Intelligent Systems, EarlyView.
This study presents Hi‐LabSpermTracking, a long‐duration, expert‐annotated sperm motility dataset for detection and tracking. It evaluates You Only Look Once version 8, Real‐Time Detection Transformer, and Simple Online and Realtime Tracking with a Deep Association Metric in three scenarios. The mean ensemble method improves tracking performance. Sperm
Abdulsamet Aktas, Gorkem Serbes, Hakkı Uzun, Merve Huner Yigit, Nizamettin Aydin, Hamza Osman Ilhan   +5 more
wiley   +1 more source

Enhanced Embolic Signal Analysis through Ensemble Deep Learning Techniques Utilizing Transfer Learning and Layer Freezing Strategies

Advanced Intelligent Systems, EarlyView.
A 10‐convolutional neural network ensemble using transfer learning and layer freezing analyzes 400 Doppler‐ultrasound spectrograms to distinguish speckle, artifact, and ESs. Soft and hard voting drive performance to 96.7% accuracy and 96.5% F1, highlighting a practical route for early embolus detection and stroke‐risk mitigation.
M. Ikbal Karadeli, Berke Cansiz, Nizamettin Aydin, Gorkem Serbes   +3 more
wiley   +1 more source

Exploiting Multitask Deep Learning to Identify Multiple Heavy Metal Contamination at Large Scales

Advanced Intelligent Systems, EarlyView.
A multitask deep learning framework evaluates manganese, chromium, and cobalt concentrations in European soils, achieving an average R2 of 0.75. From 2009 to 2015, soil concentrations increase significantly. Source analysis identifies anthropogenic manganese and geological chromium and cobalt origins.
Tao Hu, Qiusong Chen, Fiona H. M. Tang, Sybil Derrible, Liyuan Chai, Zhang Lin, Chongchong Qi   +6 more
wiley   +1 more source