Results 251 to 260 of about 324,009 (309)
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni+11 more
wiley +1 more source
Automatic segmentation of extensor carpi ulnaris tendon and detection of tendinosis with convolutional neural networks. [PDF]
Hämäläinen M+5 more
europepmc +1 more source
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari+6 more
wiley +1 more source
Generative adversarial synthetic neighbors-based unsupervised anomaly detection. [PDF]
Chen L+6 more
europepmc +1 more source
The Buckled, Ultrasoft, Crack‐based, Large strain, EpiDermal (BUCKLED) sensor is a flexible, ultrasensitive wearable strain sensor designed to precisely measure subtle skin deformations. By utilizing a buckled structure to enhance compliance integrating crack‐based sensing mechanisms, it improves accuracy in applications like respiratory monitoring ...
Jingoo Lee+9 more
wiley +1 more source
AER U-Net: attention-enhanced multi-scale residual U-Net structure for water body segmentation using Sentinel-2 satellite images. [PDF]
Jonnala NS+9 more
europepmc +1 more source
Multi‐Diseases Detection with Memristive System on Chip
A robust disease detection system, which is capable of the early prevention of acute myocardial infarction and the detection of liver cancer, is implemented on a memristive system‐on‐chip (SoC). A fully integrated SoC is utilized to ensure the system's portability, low latency, high accuracy, and energy efficiency for medical analysis.
Zihan Wang+7 more
wiley +1 more source
Local kernel renormalization as a mechanism for feature learning in overparametrized convolutional neural networks. [PDF]
Aiudi R+5 more
europepmc +1 more source
Analysis of a Memcapacitor‐Based Online Learning Neural Network Accelerator Framework
This study introduces a novel CMOS‐based memcapacitor framework for efficient neuromorphic computing, achieving 98.4% accuracy on (MNIST) modified national institute of standards and technology and 85.9% on canadian institute for advanced research( CIFAR)‐10.
Ankur Singh, Dowon Kim, Byung‐Geun Lee
wiley +1 more source