Results 181 to 190 of about 249,105 (274)
Agronomic Traits, Nutrient Accumulation, and Their Correlations in Wheat, as Affected by Nitrogen Supply in Rainfed Coastal Saline Soils. [PDF]
Li Y+5 more
europepmc +1 more source
This study presents BiT‐HyMLPKANClassifier, a novel hybrid deep learning framework for automated human peripheral blood cell classification. Model combines Big Transfer models with multilayer perceptron and efficient Kolmogorov–Arnold Network architectures, achieving over 97% accuracy.
Ömer Miraç KÖKÇAM, Ferhat UÇAR
wiley +1 more source
Leveraging cover crop functional traits and nitrogen synchronization for yield-optimized waxy corn production systems. [PDF]
Sun M+7 more
europepmc +1 more source
This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley +1 more source
Genome-wide association study identifies QTL and candidate genes for grain size and weight in a Triticum turgidum collection. [PDF]
Mangini G+4 more
europepmc +1 more source
Workflow for biodiesel water content assessment using Raman spectroscopy and machine learning models. ABSTRACT A combination of Raman spectroscopy and multivariate modeling was applied to build classification models to assess water content in soybean biodiesel.
Maycom Cezar Valeriano+3 more
wiley +1 more source
Research on bolt loosening recognition based on sound signal and GA-SVM-RFE. [PDF]
Hou LY, Zhuo DB.
europepmc +1 more source
Experimental Characterization and Prediction of Mechanical Properties of Anisotropic PLA Samples. ABSTRACT In this study, 48 polylactic acid (PLA) samples were produced via 3D printing, incorporating four infill geometries (gyroid, lattice, honeycomb, and linear), four infill rates (15%–60%), and three printing directions (x, y, z).
Ahmet Saylık+2 more
wiley +1 more source
CNN-LSTM-AM approach for outdoor wireless optical communication systems. [PDF]
Abdelsattar M+3 more
europepmc +1 more source
Abstract Computed tomography (CT) enables rapid imaging of large‐scale studies of bone, but those datasets typically require manual segmentation, which is time‐consuming and prone to error. Convolutional neural networks (CNNs) offer an automated solution, achieving superior performance on image data.
Andrew H. Lee+3 more
wiley +1 more source