Results 121 to 130 of about 4,847 (258)

PestDetectSim: an integrated approach for crop pest diagnosis using object detection and similarity-based image retrieval. [PDF]

Plant Methods
Lee J, Yin H, Jin D, Park S, Zheng R, Gu YH.   +5 more
europepmc   +1 more source

EffiSegNet: Advances in Automated Segmentation of Actinic Cheilitis and Lip Squamous Cell Carcinoma in Clinical Photographs

Journal of Oral Pathology &Medicine, EarlyView.
ABSTRACT Background Actinic cheilitis (AC) is a potentially malignant oral disorder linked to lip squamous cell carcinoma (LSCC). Clinical diagnosis is hindered by lesion heterogeneity. While AI tools have shown promise in oral lesion detection and diagnosis, image segmentation remains underexplored. This study developed and externally validated a deep
Vitor Simbalista Teixeira Soares, Anna Luíza Damaceno Araújo, Ivan José Correia‐Neto, Cristina Saldivia‐Siracusa, Raísa Sales de Sá, Hugo Abritta Reis, Ayrton da Costa Ganem Filho, André Carlos Ponce de Leon Ferreira de Carvalho, Thierry Urruty, Paulo Rogério Ferreti Bonan, Nathalia Rodrigues Gomes, Felipe Paiva Fonseca, Pablo Agustin Vargas, Alan Roger Santos‐Silva, Luiz Paulo Kowalski, Matheus Cardoso Moraes, Marcio Ajudarte Lopes   +16 more
wiley   +1 more source

DTF-STCANet: A Dual Time-Frequency Swin Transformer and ConvNeXt Attention Network for Heart Sound Classification. [PDF]

Diagnostics (Basel)
Bilen MN, Çelik FM, Kobat MA, Demir F.
europepmc   +1 more source

Community‐Oriented or Self‐Interested? Citizen Motivations for Engaging in Digital Coproduction

Public Administration, EarlyView.
ABSTRACT Public organizations increasingly use digitally enabled platforms such as 311 (a nonemergency service in the United States) to facilitate coproduction and improve service delivery. While prior research has examined coproducers' motivations, we know little about motivations for digital coproduction.
Vishal Trehan, Gregory Porumbescu, Suzanne Piotrowski   +2 more
wiley   +1 more source

High performance GPU implementation of KNN algorithm: A review. [PDF]

MethodsX
Bidye P, Borkar P, Rakesh N.
europepmc   +1 more source

Toward a deeper understanding of recovery trajectories in forest ecosystem restoration: a machine learning approach

Restoration Ecology, EarlyView.
Abstract Introduction The lack of integrated monitoring approaches and indicators hampers the understanding of forest restoration trajectories, as the recovery process involves multiple aspects of the ecosystem, which can respond differently to environmental changes due to their interactions and synergies.
Jenny Vivian, Robin L. Chazdon, Alison Shapcott, David J. Lee   +3 more
wiley   +1 more source

Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers. [PDF]

Front Big Data
Casmiry E, Mduma N, Sinde R.
europepmc   +1 more source

Recognition of fossil keratose sponges in carbonates using petrographic and machine‐learning classification

Sedimentology, EarlyView.
ABSTRACT Filamentous, anastomosing spar‐filled networks in Phanerozoic carbonates have been interpreted as the mineralised remains of keratose (non‐spiculate) sponges, yet their recognition remains contested because fabrics of broadly similar appearance may arise from microbial, diagenetic or physical processes. This study combines direct fossil–modern
Jeong‐Hyun Lee, Seung‐Sep Kim, Cui Luo   +2 more
wiley   +1 more source

A Review and Experimental Analysis of Supervised Learning Systems and Methods for Protein-Protein Interaction Detection. [PDF]

Int J Mol Sci
Taha K.
europepmc   +1 more source

Circulating microRNA signatures reveal core and reversible dysregulation in obesity via machine learning

The Journal of Physiology, EarlyView.
Abstract figure legend Machine learning analysis of circulating microRNA (miRNA) profiles identified a minimal set of biomarkers that distinguish individuals with obesity from lean individuals both before and after weight‐loss intervention. Comparative analyses revealed heterogeneous molecular responses to weight reduction, with some miRNAs showing ...
Yuan Yue, Rajesh Katare, Jeremiah Deng, Daniel Alencar Da Costa, Patrick Manning   +4 more
wiley   +1 more source