Results 251 to 260 of about 1,429,068 (340)

Enhancing Powder Bed Fusion-Laser Beam Process Monitoring: Transfer and Classic Learning Techniques for Convolutional Neural Networks. [PDF]

Materials (Basel)
Sawicki P, Dybała B.
europepmc   +1 more source

Deep Learning‐Assisted Rapid Bacterial Classification Based on Raman Spectroscopy of Bacteria Lysed by Acoustically Driven Fiber‐Tip Vibration

Advanced Science, EarlyView.
A novel acoustofluidic lysis technique based on a vibrating fiber‐tip is integrated with Raman spectroscopy and deep learning for rapid, label‐free bacterial classification. By exposing intracellular biomolecules, this method significantly enhances spectral resolution, enabling high‐accuracy classification with a 1D‐ResNet model.
Yukai Liu, Miaomiao Ji, Xiao Ren, Zhenyong Dong, Tian Wen, Qingyue Dong, Ho‐pui Ho, Lunbiao Cui, Yanqing Lu, Guanghui Wang   +9 more
wiley   +1 more source

Computing nasalance with MFCCs and Convolutional Neural Networks. [PDF]

PLoS One
Lozano A, Nava E, García Méndez MD, Moreno-Torres I.   +3 more
europepmc   +1 more source

Learning to Answer Questions From Image Using Convolutional Neural Network

, 2015
Lin Ma, Zhengdong Lu, Hang Li
openalex   +2 more sources

Biomolecular Interaction Prediction: The Era of AI

Advanced Science, EarlyView.
This review offers a thorough examination of recent progress in deep learning for predicting biomolecular interactions, including those involving proteins, nucleic acids, and small molecules. It covers data processing strategies, representative model architectures, and evaluation metrics, while highlighting current methodological limitations.
Haoping Wang, Xiangjie Meng, Yang Zhang
wiley   +1 more source

High-Accuracy Digitization of Humphrey Visual Field Reports Using Convolutional Neural Networks. [PDF]

Transl Vis Sci Technol
Shie SS, Su WW.
europepmc   +1 more source

Computational and AI‐Driven Design of Hydrogels for Bioelectronic Applications

Advanced Electronic Materials, EarlyView.
This review highlights the role of AI in advancing hydrogel design for bioelectronics, exploring natural, and synthetic gels tailored for applications like wound healing, biosensing, and tissue engineering. It emphasizes the synergy between hydrogels, electronics, and AI in creating responsive, multifunctional systems, showcasing recent innovations ...
Rebekah Finster, Prashant Sankaran, Eloise Bihar   +2 more
wiley   +1 more source

A population based optimization of convolutional neural networks for chronic kidney disease prediction. [PDF]

Sci Rep
Priyadharshini M, Murugesh V, Samkumar GV, Chowdhury S, Panigrahi A, Pati A, Sahu B.   +6 more
europepmc   +1 more source

Semi-supervised Learning for Convolutional Neural Networks via Online Graph Construction

, 2015
Sheng-Yi Bai, Sebastian Agethen, Ting-Hsuan Chao, Winston H. Hsu   +3 more
openalex   +2 more sources