Results 221 to 230 of about 2,841,275 (318)

Lobe-wise cognitive load detection using empirical Fourier decomposition and optimized machine learning. [PDF]

Front Physiol
Chervitha K, Sharma LD.
europepmc   +1 more source

THE AMOUNT OF TRANSMITTED INFORMATION IN CONFUSION MATRIX

Japanese Psychological Research, 1969
TAROW INDOW, SAKIKO SONO
openaire   +2 more sources

Soft Magnetic Sensor Array for Amphibious Measurement of 3D Muscle Deformation Distribution for Human Motion Recognition

Advanced Intelligent Systems, EarlyView.
This article develops a soft magnetic sensor array to extract 3D and distributional muscle deformations, which has highly consistent measurements in amphibious environments, robustness to hydraulic pressure, and about 200 ms faster response than an inertial measurement unit, achieving over 98% classification accuracy and below 3% phase estimation ...
Yuchao Liu, Zihan Chen, Chuxuan Guo, Zijie Liu, Yibin Chen, Xuan Wu, Zhuo Li, Qining Wang, Jiajie Guo   +8 more
wiley   +1 more source

Spikoder: Dual‐Mode Graphene Neuron Circuit for Hardware Intelligence

Advanced Intelligent Systems, EarlyView.
Spikoder, a graphene leaky integrate‐and‐fire circuit that operates as an encoder and a neuron in a spiking neural network (SNN), is introduced. A Spikoder‐driven double‐layer SNN shows an accuracy of 97.37% for the classification of the Modified National Institute of Standards and Technology dataset, demonstrating its potential as a key building block
Kannan Udaya Mohanan, Seyed Mehdi Sattari‐Esfahlan, Eou‐Sik Cho, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition

Advanced Intelligent Systems, EarlyView.
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi, Olatunji Omisore, Wenjing Du, Wenke Duan, Chen Bailang, Liu Kun, Lei Wang, Minxin Wei   +7 more
wiley   +1 more source

Exploring internal representations of self-supervised networks: few-shot learning abilities and comparison with human semantics and recognition of objects. [PDF]

Front Comput Neurosci
Kataoka A, Nagano Y, Oizumi M.
europepmc   +1 more source

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

Gender-based Alzheimer's detection using ResNet-50 and binary dragonfly algorithm on neuroimaging. [PDF]

Front Artif Intell
Haq MIU, Bangyal WH, Jaffar A, Alfayez AA, Ashraf A, Alazmi M, Hussain M.   +6 more
europepmc   +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

Pediatric diabetes prediction using machine learning. [PDF]

Sci Rep
El-Sayyid El-Bashbishy A, El-Bakry HM.
europepmc   +1 more source