Results 241 to 250 of about 8,276,674 (332)

Ultrasound bladder wall thickness and detrusor overactivity: a multicentre test accuracy study

, 2017
Pallavi Latthe, Lee Middleton, Suneetha Rachaneni, Shanteela McCooty, Jane Daniels, Arri Coomarasamy, Moji Balogun, Jonathan Duckett, Ranee Thakar, Ilias Goranitis, Tracy Roberts, Jonathan J Deeks, the BUS Collaborative Group   +12 more
openalex   +2 more sources

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Augmented Reality-Based Femur Registration With Head-Mounted Display and Infrared Tracking Device as Stand-Alone Navigation Tool: A Preclinical Validation Study. [PDF]

Health Sci Rep
Himpe N, Neuville Q, Frantz T, Vandemeulebroucke J, Moke L, Vles G, Ghijselings S, Scheerlinck T.   +7 more
europepmc   +1 more source

Loss and accuracy per epoch during training on inhibitor analysis, SPOCU.

M. Alejandro Dinamarca (16614936), Claudia Ibacache-Quiroga (4974692), Karoll González-Pizarro (22830438), Jozef Kiseľák (17844781), Bastían Barraza-Morales (22830441), Benjamín León Schuffeneger (22830444), Milan Stehlík (17844787)   +6 more
openalex   +1 more source

Enhancing Corrosion Resistance and Mechanical Strength of 3D‐Printed Iron Polylactic Acid for Marine Applications via Laser Surface Texturing

Advanced Engineering Materials, EarlyView.
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat, Mojtaba Karamimoghadam, Mohammadreza Lalegani Dezaki, Ali Zolfagharian, Giuseppe Casalino, Antonio Mateo, Mahdi Bodaghi   +6 more
wiley   +1 more source

Training and validation accuracy and loss curves for the RGB model.

Fatima-Zahrae El-Qoraychy (22821570), Yazan Mualla (22821573), Hui Zhao (7395), Mahjoub Dridi (22821576), Jean-Charles Créput (22821579), Luca Longo (474781)   +5 more
openalex   +1 more source

Accuracy of Three Dimensional CT Craniofacial Measurements Using Mimics and InVesalius Software Programs

, 2016
Haider Ali Hasan, Mohammad Khursheed Alam, Asilah Yusof, Saeka Matsuda, Masahito Shoumura, Naoto Osuga   +5 more
openalex   +2 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Comments on the International Federation of Clinical Chemistry and Laboratory Medicine Continuous Glucose Monitoring Accuracy Requirements. [PDF]

J Diabetes Sci Technol
Krouwer J.
europepmc   +1 more source