Results 271 to 280 of about 5,879,357 (336)

CINN-UTLC: A Computationally Intelligent Neural Network-Based Unsupervised Transfer Learning Algorithm for Ransomware Detection

Isha Sood, Varsha Sharma
openalex   +2 more sources

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

Advanced Intelligent Systems, EarlyView.
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He, Kah Phooi Seng, Chee Shen Lim, Li Minn Ang   +3 more
wiley   +1 more source

Unsupervised learning for real-time and continuous gait phase detection. [PDF]

PLoS One
Anopas D, Wongsawat Y, Arnin J.
europepmc   +1 more source

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, EarlyView.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source

Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach. [PDF]

Sci Rep
Raju ASN, Venkatesh K, Gatla RK, Konakalla EP, Eid MM, Titova N, Ghoneim SSM, Ghaly RNR.   +7 more
europepmc   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

Advanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong, Xingwei Zhao, Qiuting Li, Yang Yu, Chunxiang Zhang   +4 more
wiley   +1 more source

Development of Artificial Intelligence for Quantitative Assessment of Nasal Inflammatory Cytology in Chronic Rhinitis by Whole‐Slide Images

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Chronic rhinitis (CR) is currently recognized as a syndrome that manifests in different phenotypes. We aimed to establish an artificial intelligence system (quantitative assessment of nasal inflammatory cytology, QANIC) on the basis of whole‐slide images (WSIs) to enable quantitative assessment of nasal inflammatory cells.
Xu Zhang, Xu Xu, Weiwei Liu, Long Qin, Yu Song, Jingyun Li, Lin Xi, Chengshuo Wang, Luo Zhang, Yuan Zhang   +9 more
wiley   +1 more source

An Unsupervised Learning Tool for Plaque Tissue Characterization in Histopathological Images. [PDF]

Sensors (Basel)
Fraschini M, Castagnola M, Barberini L, Sanfilippo R, Coghe F, Didaci L, Cau R, Frongia C, Scartozzi M, Saba L, Faa G.   +10 more
europepmc   +1 more source