Results 81 to 90 of about 1,057,367 (187)

Comparative Analysis of Deep Learning Models for Intrusion Detection in IoT Networks

Computers
The Internet of Things (IoT) holds transformative potential in fields such as power grid optimization, defense networks, and healthcare. However, the constrained processing capacities and resource limitations of IoT networks make them especially ...
Abdullah Waqas, Sultan Daud Khan, Zaib Ullah, Mohib Ullah, Habib Ullah   +4 more
doaj   +1 more source

DDR-PINN: A Dynamic Domain–Gradient Reweighting Physics-Informed Neural Network

Applied Sciences
Physics-informed neural networks (PINNs) solve partial differential equations (PDEs) by embedding physical conditions as soft penalties into the loss function.
Shangpeng Lei, Balakayeva Gulnar, Chenghan Yang, Nadezhda Kunicina, Roberts Grants, Uldis Grunde   +5 more
doaj   +1 more source

Visual Impairment and Ataxia after Excision of Recurrent Cerebellar Space Occupation: A Case Report

康复学报, 2018
Objective:To investigate the treatment of visual impairment and ataxia after excision of recurrent cerebellar space occupation.Methods:One pediatric patient had visual impairment and ataxia after excision of recurrent cerebellar space occupation.
Lixia JIN, Gang LIU, Junfa WU, Kewei YU, Xinwei TANG, Yi WU   +5 more
doaj  

Alternatively spliced MAP4 isoforms have key roles in maintaining microtubule organization and skeletal muscle function

iScience
Summary: Skeletal muscle cells (myofibers) are elongated non-mitotic, multinucleated syncytia that have adapted a microtubule lattice. Microtubule-associated proteins (MAPs) play roles in regulating microtubule architecture.
Lathan Lucas, Larissa Nitschke, Brandon Nguyen, James A. Loehr, George G. Rodney, Thomas A. Cooper   +5 more
doaj   +1 more source

Improving Gbdt Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss Functions

Neurocomputing
Class imbalance remains a significant challenge in machine learning, particularly for tabular data classification tasks. While Gradient Boosting Decision Trees (GBDT) models have proven highly effective for such tasks, their performance can be compromised when dealing with imbalanced datasets.
Jiaqi Luo, Yuan Yuan, Shixin Xu
openaire   +2 more sources

Bayes Estimation under Balanced Loss Functions

Journal of Administration and Economics, 2019
openaire   +1 more source

Estimating Trends With Differential Item Functioning: A Comparison of Five IRT-Based Approaches. [PDF]

Educ Psychol Meas
Engels O, Lüdtke O, Robitzsch A.
europepmc   +1 more source

Dilated Balanced cross entropy loss for medical image segmentation. [PDF]

BMC Med Imaging
Hosseini SM, Baghshah MS.
europepmc   +1 more source

Infinitesimal homeostasis in mass-action systems. [PDF]

J Math Biol
Jin J, Rempala GA.
europepmc   +1 more source

Strategies for Class-Imbalanced Learning in Multi-Sensor Medical Imaging. [PDF]

Sensors (Basel)
Zhou D, Gao S, Huang X.
europepmc   +1 more source