Results 121 to 130 of about 141,633 (261)

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

Advanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang, Zhuoran Xiao, Meng Wang, Jianchao Li, Chunjing Tao, Jiangzhen Guo, Yubo Fan   +6 more
wiley   +1 more source

Loss‐Based Ensemble Generative Adversarial Network Model for Enhancing the Sperm Morphology Classification

Advanced Intelligent Systems, EarlyView.
A loss‐based ensemble generative adversarial network (GAN) framework is proposed to address mode collapse in sperm morphology classification. By integrating spatial augmentation and multiple GAN models, the study enhances synthetic data quality. The Shifted Window Transformer achieves 95.37% accuracy on the HuSHeM dataset, outperforming previous ...
Berke Cansiz, Hamza Osman Ilhan, Gorkem Serbes   +2 more
wiley   +1 more source

Modeling Students’ Dropout in Mexican Universities

Research in Computing Science, 2017
Noel Enrique Rodríguez-Maya, Carlos Lara-Álvarez, Oscar May-Tzuc, Brian Alison Suárez-Carranza   +3 more
openaire   +1 more source

Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings

Advanced Intelligent Systems, EarlyView.
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet, Sergio Sánchez‐Manso, Arnau Manasanch, Lluc Tresserras, Xinhe Zhang, Yining Hua, Hao Zhao, Melody Torao‐Angosto, Maria V Sanchez‐Vives, Leonardo Dalla Porta   +9 more
wiley   +1 more source

INFLUENCE OF FORMAL AND NON-FORMAL EDUCATIONAL ACTIVITIES ON THE ACADEMIC INTEGRATION OF FIRST-YEAR STUDENTS OF "ION IONESCU DE LA BRAD" UNIVERSITY OF LIFE SCIENCES (IULS) IAȘI, ROMANIA, FOR REDUCING [PDF]

Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development
University dropout has become a worrying reality for the education system in general, but also for Romania in particular, which ranks first in Europe. Thus, the worrying phenomenon of early university leaving is a phenomenon that has complex causes and ...
Carmen-Olguta BREZULEANU, Alina SARGHEA, Roxana MIHALACHE, Elena UNGUREANU, Stejarel BREZULEANU   +4 more
doaj  

Cryogenic Neuromorphic Synaptic Behavior in 180 nm Silicon Transistors for Emerging Computing Systems

Advanced Intelligent Systems, EarlyView.
This study investigates the neuromorphic plasticity behavior of 180 nm bulk complementary metal oxide semiconductor (CMOS) transistors at cryogenic temperatures. The observed hysteresis data reveal a signature of synaptic behavior in CMOS transistors at 4 K.
Fiheon Imroze, Bhavani Yalagala, Naveen Kumar, Mostafa Elsayed, Meraj Ahmad, Robert Graham, Vihar Georgiev, Hadi Heidari, Martin Weides   +8 more
wiley   +1 more source

Machine Learning‐Based Standard Compact Model Binning Parameter Extraction Methodology for Integrated Circuit Design of Next‐Generation Semiconductor Devices

Advanced Intelligent Systems, EarlyView.
This study presents a neural network‐based methodology for Berkeley Short‐Channel IGFET Model–Common Multi‐Gate parameter extraction of gate‐all‐around field effect transistors, integrating binning adaptive sampling and transformer neural networks to efficiently capture current–voltage and capacitance–voltage characteristics.
Jaeweon Kang, Johyeon Kim, Sueyeon Kim, Hyunbo Cho, Jongwook Jeon   +4 more
wiley   +1 more source

Evaluation of factors associated with psychiatric patient dropout at a university outpatient clinic in Japan

Patient Preference and Adherence, 2016
Atsumi Minamisawa,1 Jin Narumoto,1 Isao Yokota,2 Kenji Fukui1 1Department of Psychiatry, 2Department of Biostatistics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan Background: Patient dropout from treatment
Minamisawa A, Narumoto J, Yokota I, Fukui K   +3 more
doaj  

Multitarget Recognition of Flower Images Based on Lightweight Deep Neural Network and Transfer Learning

Advanced Intelligent Systems, EarlyView.
This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley   +1 more source

Dropout in university studies: determinant factors and preventives measures

Revista Española de Pedagogía
M. C., González Afonso, P. R., Álvarez Pérez, L. Desconocido, Cabrera Pérez, J. T., Bethencourt Benítez   +7 more
doaj   +1 more source