Results 221 to 230 of about 220,793 (302)

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Case Report: Full-thickness prolapse of a neovagina created from sigmoid colon 25 years post-vaginoplasty for Mayer-Rokitansky-Küster-Hauser. [PDF]

Front Med (Lausanne)
Chen L, Sun L.
europepmc   +1 more source

On Some Properties of the Sigmoid Function

, 2019
By using some analytical techniques, we establish some properties of the sigmoid function. The properties are in the form of inequalities involving the function. Some of these inequalities connect the sigmoid function to the softplus function.
openaire   +1 more source

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

The colonic flap: a versatile and reliable donor-site-free technique for pelvic reconstruction after exenteration. [PDF]

Front Oncol
Sahakitrungruang C, Malakorn S.
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Intra-articular sigmoid notch fractures of the distal radius and their association with arthritis progression and outcomes after volar locking plate fixation: A retrospective study. [PDF]

Medicine (Baltimore)
Park SH, Ahn SJ, Park JW, Lee DH, Lee JI.   +4 more
europepmc   +1 more source

An Examination of the Similarity between a New Sigmoid Function-Based Consensus Ranking Method and Four Commonly-Used Algorithms

, 2008
Madjid Tavana, James W. Smither, Frank LoPinto   +2 more
openalex   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Conservative Management of an Enterocutaneous Fistula Following Sigmoid Mesenteric Cyst Excision: A Case Report. [PDF]

Cureus
Mesh A, Nanayakkara G, Aly A, Elmorsy M.
europepmc   +1 more source