Results 91 to 100 of about 12,779 (166)

Class-conditioned synthetic MRI generation using ACGAN to improve brain-tumor classification accuracy

The Egyptian Journal of Radiology and Nuclear Medicine
Accurate classification of brain tumors is often limited by the scarcity of labeled medical images, particularly for complex tumor subtypes. This study proposes an auxiliary classifier generative adversarial network (ACGAN) to generate class-conditioned ...
Mert Büyükdede, Doruk Kılıç
doaj   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

Advanced Intelligent Systems
According to the World Health Organization, cardiovascular diseases are the leading cause of death worldwide. The electrocardiogram (ECG) is a widely used noninvasive method for detecting these conditions.
Giovanny Barbosa‐Casanova, Norelli Schettini, Winston Percybrooks, Begoña García‐Zapirain   +3 more
doaj   +1 more source

A fixed point theorem for a class of differentiable stable operators in Banach spaces

Fixed Point Theory and Applications, 2006
We study Fréchet differentiable stable operators in real Banach spaces. We present the theory of linear and nonlinear stable operators in a systematic way and prove solvability theorems for operator equations with differentiable expanding operators.
doaj  

Image-Based Malware Classification Using DCGAN-Augmented Data and a CNN–Transformer Hybrid Model

Future Internet
With the rapid growth and diversification of malware, accurate multi-class detection remains challenging due to severe class imbalance and limited labeled data.
Manya Dhingra, Achin Jain, Niharika Thakur, Anurag Choubey, Massimo Donelli, Arun Kumar Dubey, Arvind Panwar   +6 more
doaj   +1 more source

Image Prompt Adapter-Based Stable Diffusion for Enhanced Multi-Class Weed Generation and Detection

AgriEngineering
The curation of large-scale, diverse datasets for robust weed detection is extremely time-consuming and resource-intensive in practice. Generative artificial intelligence (AI) opens up opportunities for image generation to supplement real-world image ...
Boyang Deng, Yuzhen Lu
doaj   +1 more source

Histopathological domain adaptation with generative adversarial networks: Bridging the domain gap between thyroid cancer histopathology datasets.

PLoS ONE
Deep learning techniques are increasingly being used to classify medical imaging data with high accuracy. Despite this, due to often limited training data, these models can lack sufficient generalizability to predict unseen test data, produced in ...
William Dee, Rana Alaaeldin Ibrahim, Eirini Marouli   +2 more
doaj   +1 more source

Synthetic Data Augmentation for Imbalanced Tabular Protein Subcellular Localization: A Comparative Study of SMOTE, CTGAN, TVAE, and TabDDPM Methods

Applied Sciences
Class imbalance is a persistent challenge in supervised machine learning, particularly in biological datasets where minority classes represent functionally critical categories.
Ali Fatih Gündüz, Canan Batur Şahin
doaj   +1 more source

Exploring novel semi-inner product reproducing Kernels in Banach space for robust Kernel methods. [PDF]

PLoS One
Ding Y, Zhao Y, Pei Y.
europepmc   +1 more source

SCGAN-generated skin-tone-balanced extension of the HAM10000 dataset for fairer dermatological AI. [PDF]

PLoS One
Kabir S.
europepmc   +1 more source

Long-time behaviour and bifurcation analysis of a two-species aggregation-diffusion system on the torus. [PDF]

Calc Var Partial Differ Equ
Carrillo JA, Salmaniw Y.
europepmc   +1 more source