Results 41 to 50 of about 17,625 (278)

Improving Surgical Site Infection Prediction Using Machine Learning: Addressing Challenges of Highly Imbalanced Data

Diagnostics
Background: Surgical site infections (SSIs) lead to higher hospital readmission rates and healthcare costs, representing a significant global healthcare burden.
Salha Al-Ahmari, Farrukh Nadeem
doaj   +1 more source

undersampling ground beetles

, 2017
file to analyse how accuracy and precision of various FD metrics depends on undersampling. This specific file was used for the analysis of ground beetle data.
Peter Manning (26576), Han Olff (143646), Fons van der Plas (2929392), Markus Fischer (111964), Roel van Klink (3626654)   +4 more
core   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

Orchid Species Classification Using the DenseNet121 Deep Learning Model with a Data Imbalance Handling Approach

Journal of Applied Informatics and Computing
For conservation, commercial cultivation, and scientific research, accurate identification of orchid species often requires specialized expertise.
Fadhilah Aditya Akbar, Christy Atika Sari   +1 more
doaj   +1 more source

Undersampling bandpass modulator architectures [PDF]

, 2007
Continuous-time delta sigma modulators -- Undersampling Delta-sigma modulators for radio receivers -- A novel continuous-time delta sigma modulator -- New delta modulator based on ...
Naderi, Ali
core  

Difference when applying undersampling+oversampling, and oversampling only.

, 2023
Results are in bold when the undersampling provides better results. (PDF)
Teo Nguyen (16469398), Kerrie Mengersen (177006), Damien Sous (9529875), Benoit Liquet (443623)   +3 more
core   +1 more source

3D Large‐Scale Subwavelength‐Resolution Sound Sheet Tomography Based on an Active and Programmable Circular Meta‐Array

Advanced Science, EarlyView.
A programmable 2048‐element circular ultrasound array combined with a compact acoustic lens produces a thin “sound sheet” over a large field of view, and records echoes with wide angular diversity across the ring aperture. Coherence‐enhanced beamforming converts full‐matrix data into high‐contrast tomographic slices, delivering near‐diffraction‐limited
Qiu‐De Zhang, Zi‐Bin Lin, Zhuo Chen, Zhao‐Hui Liu, Jin‐Lian He, Jun‐Jie Song, Long‐Sheng Zeng, Liang Zhou, Ming‐Yue Ding, Yu‐Gui Peng, Ming Yuchi, Xue‐Feng Zhu   +11 more
wiley   +1 more source

Enhancing Phishing Email Detection through Ensemble Learning and Undersampling

Applied Sciences, 2023
In real-world scenarios, the number of phishing and benign emails is usually imbalanced, leading to traditional machine learning or deep learning algorithms being biased towards benign emails and misclassifying phishing emails.
Qinglin Qi, Zhan Wang, Yijia Xu, Yong Fang, Changhui Wang   +4 more
doaj   +1 more source

Undersampling and the measurement of beta diversity

, 2013
Beta diversity is a conceptual link between diversity at local and regional scales. Various additional methodologies of quantifying this and related phenomena have been applied.
Schwanghart, Wolfgang (Dr. rer. nat.), Schwanghart, Wolfgang, Beck, Jan, Holloway, Jeremy D.   +3 more
core   +1 more source