Results 111 to 120 of about 384,953 (220)

Unsupervised Domain Adaptation Method Based on Relative Entropy Regularization and Measure Propagation. [PDF]

Entropy (Basel)
Tan L, Peng Z, Song Y, Liu X, Jiang H, Liu S, Wu W, Xiang Z.   +7 more
europepmc   +1 more source

AInsectID Version 1.1: An Insect Species Identification Software Based on the Transfer Learning of Deep Convolutional Neural Networks

Advanced Intelligent Discovery, EarlyView.
This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley   +1 more source

Detecting eavesdropping nodes in the power Internet of Things based on Kolmogorov-Arnold networks. [PDF]

PLoS One
Wang R, Jiang W, Shen Y, Yue Q, Hsiung KL.   +4 more
europepmc   +1 more source

Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning

Advanced Intelligent Discovery, EarlyView.
End‐to‐end design of engineering materials such as Mg alloys must include the properties, structure, and post‐synthesis processing methods. However, this is challenging when destructive mechanical testing is needed to annotate unseen data, and the processing methods for hypothetical alloys are unknown.
Amanda S. Barnard
wiley   +1 more source

PREVENTION OF SYMPTOMATIC NEUROMA BY USING SYNTHETIC CONDUITS IN FINGER AMPUTATION STUMPS. [PDF]

Acta Ortop Bras
Wataya EY, Lopes DB, Takazono DK, Pessa MMN, Rusig RP, Sorrenti L, Torres LR, Wei TH, Rezende MR, Mattar R.   +9 more
europepmc   +1 more source

Widened Attention‐Enhanced Atrous Convolutional Network for Efficient Embedded Vision Applications under Resource Constraints

Advanced Intelligent Systems, EarlyView.
The article introduces WACEfNet, a new convolutional neural network architecture optimized for efficient aerial image analysis under resource constraints. It creatively integrates attention mechanisms and atrous convolutions into a compact widened residual network framework.
Md Meftahul Ferdaus, Mahdi Abdelguerfi, Kendall N. Niles, Ken Pathak, Joe Tom   +4 more
wiley   +1 more source

Detection-guided deep learning-based model with spatial regularization for lung nodule segmentation. [PDF]

Quant Imaging Med Surg
Zhang J, Yang M, Guo W, Xavier BA, Bolen M, Li X.   +5 more
europepmc   +1 more source

Unraveling Multimodal Brain Signatures: Deciphering Transdiagnostic Dimensions of Psychopathology in Adolescents

Advanced Intelligent Systems, EarlyView.
This study, utilizing two large‐cohort datasets, employs interpretable neural networks. It demonstrates that incorporating brain morphology and functional and structural networks enhances predictive accuracy for general psychopathology and its dimensions.
Jing Xia, Nanguang Chen, Anqi Qiu
wiley   +1 more source

Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty models with LASSO, ridge, and elastic net regularization. [PDF]

BMC Cancer
Bosson-Amedenu S, Ayitey E, Ayiah-Mensah F, Asare L.   +3 more
europepmc   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source