Results 101 to 110 of about 45,910 (264)

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci   +4 more
wiley   +1 more source

Applications of generative adversarial networks in materials science

open access: yesMaterials Genome Engineering Advances
Generative adversarial networks (GANs), as a powerful tool for inverse materials discovery, are being increasingly applied in various fields of materials science.
Yuan Jiang   +3 more
doaj   +1 more source

GANs for Image Security Applications: A Literature Review

open access: yesIraqi Journal of Information & Communication Technology
Generative Adversarial Networks (GANs) have earned significant attention in various domains due to their generative model’s compelling ability to generate realistic examples probably drawn from sample distribution.
Mays Y. Mhawi   +2 more
doaj   +1 more source

A deep learning approach to private data sharing of medical images using conditional generative adversarial networks (GANs). [PDF]

open access: yesPLoS One, 2023
Sun H   +9 more
europepmc   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

open access: yesAdvanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee   +7 more
wiley   +1 more source

Generation of synthetic ground glass nodules using generative adversarial networks (GANs). [PDF]

open access: yesEur Radiol Exp, 2022
Wang Z   +9 more
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation. [PDF]

open access: yesJ Digit Imaging, 2022
Jeong JJ   +5 more
europepmc   +1 more source

IVE-GAN: Invariant Encoding Generative Adversarial Networks

open access: yes, 2017
under review at ...
Winter, Robin, Clevert, Djork-Arné
openaire   +2 more sources

MTCA‐Net: Multi‐Task Cascade Analysis Network for Real‐Time Sperm Quality Analysis

open access: yesAdvanced Intelligent Systems, EarlyView.
This article proposes MTCA‐Net, a multi‐task cascaded analysis network for real‐time sperm quality assessment in intracytoplasmic sperm injection. The framework integrates detection, tracking, and segmentation modules to jointly analyze sperm morphology and motility.
Jiajin Li   +10 more
wiley   +1 more source

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