Results 121 to 130 of about 25,441 (258)
Faster SCDNet: Real-Time Semantic Segmentation Network with Split Connection and Flexible Dilated Convolution. [PDF]
Tian S, Yao G, Chen S.
europepmc +1 more source
This review critically compares the electrochemical performance of carbon‐based and alloy‐type anodes for sodium‐ion batteries, with an emphasis on strategies that enhance practical deployment. It highlights how synergistic optimization of microstructure, electrolyte, and presodiation improves hard carbon, while nanostructuring and interfacial ...
Anele Tshaka +3 more
wiley +1 more source
DTPP:An efficient depthwise separable TCN for seismic phase picking
With the rapid development of artificial intelligence in seismology, various deep learning-based seismic phase picking models have emerged in recent years.
Shuai Lv, Yuxiang Peng
doaj +1 more source
Brain Tumor Segmentation Network with Multi-View Ensemble Discrimination and Kernel-Sharing Dilated Convolution. [PDF]
Guan X, Zhao Y, Nyatega CO, Li Q.
europepmc +1 more source
ABSTRACT Mining plays a crucial role in economic development, but improper management can lead to severe environmental degradation. Particularly for iron ore, mining generates vast amounts of tailings often stored in unstable dams. This study aims to investigate the toxicological impacts of environmentally relevant concentrations of metals mixture ...
Kalinka Helóra Gomes de Almeida +7 more
wiley +1 more source
State of Health Prediction of Lithium-Ion Battery Based on Deep Dilated Convolution. [PDF]
Fu P, Chu L, Li J, Guo Z, Hu J, Hou Z.
europepmc +1 more source
Turbidity‐based digital LAMP offers a low‐cost alternative for nucleic acid quantification, but interpreting bright‐field images is difficult due to weak contrast and noise. We developed NanoFuse‐YOLO11, an AI‐based detection model that automatically identifies positive reaction units in turbidity microscopy images.
Zhu Chen +7 more
wiley +1 more source
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network. [PDF]
Tomar NK, Srivastava A, Bagci U, Jha D.
europepmc +1 more source
Dilated convolution network with edge fusion block and directional feature maps for cardiac MRI segmentation. [PDF]
Chen Z, Bai J, Lu Y.
europepmc +1 more source
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam +3 more
wiley +1 more source

