Results 111 to 120 of about 21,033 (209)

BioAct-Het: A Heterogeneous Siamese Neural Network for Bioactivity Prediction Using Novel Bioactivity Representation. [PDF]

ACS Omega, 2023
Paykan Heyrati M, Ghorbanali Z, Akbari M, Pishgahi G, Zare-Mirakabad F.   +4 more
europepmc   +1 more source

Auto-Probabilistic Mining Method for Siamese Neural Network Training

Mathematics
Training deep learning models for classification with limited data and computational resources remains a challenge when the number of classes is large. Metric learning offers an effective solution to this problem. However, it has its own shortcomings due to the known imperfections of widely used loss functions such as contrastive loss and triplet loss,
Arseniy Mokin, Alexander Sheshkus, Vladimir L. Arlazarov   +2 more
openaire   +2 more sources

Non‐Pharmacological Interventions for Cough in Patients With Lung Cancer: A Systematic Review and Meta‐Analysis

Journal of Clinical Nursing, EarlyView.
ABSTRACT Background Cough, a prevalent and debilitating symptom of lung cancer, remains poorly managed. Accumulating evidence on non‐pharmacological interventions for lung cancer cough necessitates systematic evaluation to assess their efficacy. Aim To synthesise evidence on non‐pharmacological interventions for managing cough in lung cancer patients ...
Mengyao Cao, Xueyan Cheng, Victor Ho‐fun Lee, Chia‐Chin Lin, Denise Shuk Ting Cheung   +4 more
wiley   +1 more source

Facial emotion recognition using deep Siamese neural networks: multi-classifier fusion for single-emotion and multi-emotion models across age groups

Journal of Big Data
This research examines facial expressions as social cues in online platforms, focusing on online learning and remote work. Our high-accuracy emotion recognition framework is designed for post-session evaluation, aiding teaching strategies and identifying
Tejas Rathod, Shruti Patil, Aniket K. Shahade, Prachi Kadam, Ambarish Kulkarni   +4 more
doaj   +1 more source

Systemic, Lifestyle and Environmental Modifying Factors in the Pathogenesis of Periodontitis

Journal of Periodontal Research, EarlyView.
A variety of impacting factors in the pathogenesis of periodontitis exist, including systemic, lifestyle, and environmental factors. This review highlights the manifold mechanistic aspects of the link between the pathogenesis of periodontitis, addressing these numerous factors to supplement the long‐standing knowledge of the progression of the disease.
Groeger Sabine Elisabeth, Zhou Yuxi, Yong Jiawen, Wang Lei, Ruf Sabine, Meyle Joerg   +5 more
wiley   +1 more source

The Role of Viruses in the Pathogenesis of Periodontitis

Journal of Periodontal Research, EarlyView.
This narrative review aimed to summarize current evidence on the presence and potential pathogenic role of viruses in periodontitis. Design: Narrative Review; Population: Patients with periodontitis; Exposure: Detection of viruses in oral samples (biopsies, saliva, gingival crevicular fluid, subgingival plaque, blood); Outcome: Viral prevalence, load ...
Kim Natalie Stolte, Jørgen Slots, Henrik Dommisch   +2 more
wiley   +1 more source

A New Siamese Network Loss for Cattle Facial Recognition in a Few-Shot Learning Scenario

AgriEngineering
This study explores the use of a Siamese neural network architecture to enhance classification performance in few-shot learning scenarios, with a focus on bovine facial recognition.
João Porto, Gabriel Higa, Vanessa Weber, Fabrício Weber, Newton Loebens, Pietro Claure, Leonardo de Almeida, Karla Porto, Hemerson Pistori   +8 more
doaj   +1 more source

Cross-domain few-shot learning based on pseudo-Siamese neural network. [PDF]

Sci Rep, 2023
Gong Y, Yue Y, Ji W, Zhou G.
europepmc   +1 more source

Offline Signature Verification USING Siamese Neural Network

Journal of Information Systems Engineering and Management
Verifying offline signatures is challenging in identity verification procedures for legal documents and financial transactions. The subtle but significant distinctions between authentic and fraudulent signatures must be carefully considered because some forgeries may merely alter a portion of the signature. This task is more difficult when the identity
openaire   +1 more source

Artificial Intelligence in Periodontology: A Systematic Review

Journal of Periodontal Research, EarlyView.
AI shows promise across periodontology, with deep learning achieving strong performance for image‐based diagnosis of periodontitis. However, limited data diversity, inconsistent metrics, and scarce external validation raise concerns about generalizability and clinical applicability.
Antonin Tichy, Nils Werner, Helena Dujic, Charlotte Wetzel, Vinay Pitchika, Caspar Victor Bumm, Matthias Folwaczny, Falk Schwendicke   +7 more
wiley   +1 more source