Results 181 to 190 of about 95,777 (258)

Automated AI‐Based Lung Disease Classification Using Point‐of‐Care Ultrasound

Applied AI Letters, Volume 7, Issue 1, February 2026.
Automated, AI‐based Lung Disease Classification using Point‐of‐Care Ultrasound. ABSTRACT Timely and accurate diagnosis of lung diseases is critical for reducing related morbidity and mortality. Lung ultrasound (LUS) has emerged as a useful point‐of‐care tool for evaluating various lung conditions.
Nixson Okila, Andrew Katumba, Joyce Nakatumba‐Nabende, Sudi Murindanyi, Jonathan Serugunda, Cosmas Mwikirize, Samuel Bugeza, Anthony Oriekot, Juliet Bosa, Eva Nabawanuka   +9 more
wiley   +1 more source

Artificial intelligence for dental caries detection: A mixup, fine-tuning, and quantization approach on the MobileNetV2 model. [PDF]

J Conserv Dent Endod
Boy AF, Akhyar A, Arif TY, Syahrial S.
europepmc   +1 more source

A Hybrid Framework for Stock Price Forecasting Using Metaheuristic Feature Selection Approaches and Transformer Models Enhanced by Temporal Embedding and Attention Pruning

Applied AI Letters, Volume 7, Issue 1, February 2026.
Workflow of the proposed hybrid BWO‐Transformer framework for stock price prediction. ABSTRACT Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In this
Amirhossein Malakouti Semnani, Sohrab Kordrostami, Amirhossein Refahi Sheikhani, Mohammad Hossein Moattar   +3 more
wiley   +1 more source

Evaluating machine learning models for estimating evapotranspiration in Colombia's Cauca River Valley. [PDF]

Sci Rep
Rueda Cadavid JF, Cañón Castillo DM, Mendoza Castiblanco CJ, Rodríguez Vásquez AF, Cortés Bello CA.   +4 more
europepmc   +1 more source

Performance and Cost Evaluation of StarPU on AWS: Case Studies With Dense Linear Algebra Kernels and N‐Body Simulations

Concurrency and Computation: Practice and Experience, Volume 38, Issue 3, February 2026.
ABSTRACT Task‐based programming interfaces introduce a paradigm in which computations are decomposed into fine‐grained units of work known as “tasks”. StarPU is a runtime system originally developed to support task‐based parallelism on on‐premise heterogeneous architectures by abstracting low‐level hardware details and efficiently managing resource ...
Vanderlei Munhoz, Vinicius G. Pinto, João V. F. Lima, Márcio Castro, Daniel Cordeiro, Emilio Francesquini   +5 more
wiley   +1 more source

DeepBiteNet: A Lightweight Ensemble Framework for Multiclass Bug Bite Classification Using Image-Based Deep Learning. [PDF]

Diagnostics (Basel)
Khasanov D, Khujamatov H, Shakhnoza M, Abdullaev M, Toshtemirov T, Anarova S, Lee C, Jeon HS.   +7 more
europepmc   +1 more source

Seismic Structural Response and Loss Estimation for Dense Urban Districts Using Neural Network Parameterized Gaussian Process

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 2, Page 397-412, February 2026.
ABSTRACT Earthquakes pose a major threat to urban areas, causing fatalities, injuries, and significant economic losses. This study proposes a Gaussian process parametrized by deep neural networks (DNN–GP) as an efficient surrogate for assessing seismic losses of building structures at a regional scale.
Byeongseong Choi, Sang‐ri Yi, Taeyong Kim   +2 more
wiley   +1 more source

End-to-end 3D instance segmentation of synthetic data and embryo microscopy images with a 3D Mask R-CNN. [PDF]

Front Bioinform
David G, Faure E.
europepmc   +1 more source

What is “accuracy”? Rethinking machine learning classifier performance metrics for highly imbalanced, high variance, zero‐inflated species count data

Limnology and Oceanography: Methods, Volume 24, Issue 2, February 2026.
Abstract Machine learning has opened the door for the automated sorting (classification) of images, holograms and acoustic backscatters of individual plankton, invertebrates, fish and marine mammals. However, this field is complicated by decades of paradoxically promising reports of classifier performance that do not correlate with real‐world uptake of
Bianca M. Owen, James R. Tweedley, Navid R. Moheimani, Chris S. Hallett, Jeffrey J. Cosgrove, Leopold P. O. Silberstein   +5 more
wiley   +1 more source

Deep Learning Model Compression and Hardware Acceleration for High-Performance Foreign Material Detection on Poultry Meat Using NIR Hyperspectral Imaging. [PDF]

Sensors (Basel)
Khan Z, Yoon SC, Bhandarkar SM.
europepmc   +1 more source