Towards a More Reliable Identification of Non-Conformities in Railway Cars: Experiments with Mask R-CNN, U-NET, and Ensembles on Unbalanced and Balanced Datasets. [PDF]
Sensors (Basel)Carvalho E +6 more
europepmc +1 more source
A Wildlife Multi‐Modal Recognition Method Based on Infrared Camera Images Using MWAC
Integrative Zoology, EarlyView.A multimodal wild wildlife classification model MWAC consists of two parts:(1) Wavelet KAN module (WDS‐KAN) for image feature extraction, and (2) Label Correlated Text Extraction module (LC‐BERT) for text feature extraction. ABSTRACT Nowadays, infrared camera technology has become an important tool for large‐scale monitoring and assessment of wildlife ...
Siming Deng +6 more
wiley +1 more source
Lumen segmentation using a Mask R-CNN in carotid arteries with stenotic atherosclerotic plaque. [PDF]
UltrasonicsKiernan MJ +6 more
europepmc +1 more source
Individual bird identification by modelling temporal structure in bioacoustic embeddings
Methods in Ecology and Evolution, EarlyView.Abstract Identifying individual animals from vocalizations is an emerging research area in computational bioacoustics. This non‐invasive approach reduces reliance on physical capture and tagging for wildlife monitoring. Recent advances in this area leverage deep learning and bioacoustic foundation models adapted from species‐level classifiers. However,
Jonathan Gallego +2 more
wiley +1 more source
Automated segmentation and source prediction of bone tumors using ConvNeXtv2 Fusion based Mask R-CNN to identify lung cancer metastasis. [PDF]
J Bone OncolZhao K +15 more
europepmc +1 more source
Acta Ophthalmologica, EarlyView.Abstract Purpose Diabetic retinopathy (DR) is a leading cause of blindness in the working‐age population. Screening is essential to identify and treat sight‐threatening stages prior to irreversible visual loss. This study aimed to train and validate an automated algorithm to identify no or minimal DR, potentially saving resources for specialist ...
Lars Morten Skollerud +4 more
wiley +1 more source
Acta Ophthalmologica, EarlyView.Abstract This systematic review and meta‐analysis evaluates the performance of artificial intelligence (AI)‐based models for predicting the onset and progression of refractive error (RE) in children and adolescents and quantitatively synthesizes their prediction accuracy.
Athanasia Sandali +6 more
wiley +1 more source
Measuring Public Sentiment on Corporate Sustainability Through Big Data and Social Media Analytics
Business Ethics, the Environment &Responsibility, EarlyView.ABSTRACT Currently, corporate sustainability is primarily assessed through companies' own sustainability reports and evaluations conducted by NGOs and rating agencies. These approaches present several limitations, including potential reporting bias and limited transparency in evaluation methodologies. In response, this paper proposes CSR‐IRIS‐v2, a big
Adriana M. Barbeito‐Caamaño +1 more
wiley +1 more source
NePO: Neural Point Octrees for Large‐Scale Novel View Synthesis
Computer Graphics Forum, EarlyView.We introduce Neural Point Octrees (NePOs), a scalable radiance field representation that organises point clouds hierarchically for efficient optimisation and rendering of large scale scenes. NePOs enable level of detail selection, joint refinement of appearance and camera poses, and real‐time rendering of hundreds of millions of points.
Noah Lewis +3 more
wiley +1 more source