Results 231 to 240 of about 1,516,017 (282)
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
The model leverages patient time‐space information for pattern feature representations. Encoders extract first and second‐order features, aggregated with categorical embeddings and dense features. Task‐specific and shared experts use gated networks, with a dispatch layer routing information for diabetes risk evaluation and blood glucose prediction ...
Yingshuai Wang +8 more
wiley +1 more source
Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities
A holistic INSENSION system is developed—a novel intelligent decision support system leveraging state‐of‐the‐art noninvasive audio‐visual sensor technologies together with machine learning algorithms and expert knowledge, to detect and interpret behaviors and communications (nonverbal signals—NVSs) of people with PIMD in challenging real‐world ...
Gašper Slapničar +10 more
wiley +1 more source
Electronic‐Free Particle Robots Communicate through Architected Tentacles
This work introduces a new class of particle robots that communicate without any electronic components. Their communication protocols are encoded in the geometry of their tentacles are and realized solely through physical contact. Building on these simple communication schemes, electronic‐free particle robots can achieve a range of collective ...
Xinyi Yang +9 more
wiley +1 more source
On‐Device Brain Tumor Classification from MR Images Using Smartphone
Herein, various deep learning models are trained for brain tumor classification task, and model performances are compared. The performance is further improved by using the proposed preprocessing algorithm before training. The MobileViT model, which is the best‐performing model in terms of balance between inference time and success rate, is integrated ...
Halil Ibrahim Ustun +3 more
wiley +1 more source
Researchers develop clinlabomics assisted for cancer identification, an artificial intelligence‐powered system using routine clinical lab data to detect and identify 10 cancer types. Tested on 19 199 individuals, it achieves 90.39% sensitivity and 82.41% specificity in cancer detection, with 72.57% accuracy in identifying specific cancer types ...
Bowen Zhang +9 more
wiley +1 more source
A Literature Survey on Potential Private User Information Leakage in Metaverse Applications
This survey explores potential privacy risks in the Metaverse, focusing on personal data inferred from virtual reality headsets embedded with passive brain‐computer interfaces (BCI). It reviews how age, gender, and ethnicity can be predicted using neurophysiological signals, (e.g., electroencephalogram). The survey also explores future threats from non‐
Mina Jaberi, Tiago H. Falk
wiley +1 more source
DePerio: Deep Learning‐Based Oral Inflammatory Load Quantification for Periodontal Applications
a) Inflammation and oral polymorphonuclear neutrophil (oPMN) Migration: Dental plaque accumulation leads to inflammation, prompting white blood cells (WBCs), particularly oPMNs, to migrate from blood vessels through the gingival epithelium into the oral cavity.
Fatemeh Soheili +9 more
wiley +1 more source
Prospects of measuring quantum entanglement in $ττ$ final states at a future $e^+e^-$ Higgs factory [PDF]
Cedric Breuning +3 more
openalex +1 more source

