Results 51 to 60 of about 3,085,998 (189)
Abstract In the domain of battery research, the processing of high‐resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior understanding of the components involved. The utilisation of deep learning methodologies for image analysis has attracted considerable interest in recent years, with ...
Ganesh Raghavendran +7 more
wiley +1 more source
Abstract Purpose This study aimed to evaluate the effect of different zygomatic implant configurations on the biomechanical behavior of implant‐supported prosthetic systems under varying bone conditions using finite element analysis. Materials and Methods Four three‐dimensional (3D) finite element models were developed based on two different anatomical
Ercin Samunahmetoglu +2 more
wiley +1 more source
Fault Diagnosis Method for DC Current Transformers Based on Deep Learning Hybrid Model
Aiming at the problems of scarce fault samples, strong noise interference and complex feature coupling in the current DCCT fault diagnosis process, a DCCT fault diagnosis method based on a hybrid deep learning model is proposed. The performance of the proposed method is verified through experiments.
Cai Xu +4 more
wiley +1 more source
Abstract Muscle architecture is a major determinant of muscle performance and, in mammalian lineages, has been correlated with both feeding ecology and locomotor behaviors. Over the past decade, contrast‐enhanced micro‐CT (DiceCT) has emerged as an alternative to traditional dissection‐based measurement.
Aleksandra Ratkiewicz +5 more
wiley +1 more source
Space-Time Codes and Concatenated Channel Codes for Wireless Communications [PDF]
Following a brief historical perspective on channel coding, an introduction to space–time block codes is given. The various space–time codes considered are then concatenated with a range of channel codecs, such as convolutional and block-based turbo ...
Liew, T.H., Hanzo, Lajos
core +2 more sources
ABSTRACT Background and Aims Artificial intelligence is increasingly applied to pediatric dental imaging, caries detection, orthodontic decision support, age estimation, and risk prediction. However, pediatric evidence remains fragmented across clinical tasks, model types, validation strategies, and reported metrics.
Aref Zarei +16 more
wiley +1 more source
Is the World Getting Smaller? Network‐Driven Heterogeneity in Gravity‐Model Elasticities
ABSTRACT Gravity models constitute the workhorse of empirical international trade research, yet the temporal stability of their core parameters—distance and GDP elasticities—remains underexplored, particularly in relation to the evolving structure of trade networks.
Zsolt T. Kosztyán +2 more
wiley +1 more source
RS + LDPC-Staircase Codes for the Erasure Channel: Standards, Usage and Performance [PDF]
Application-Level Forward Erasure Correction (AL-FEC) codes are a key element of telecommunication systems. They are used to recover from packet losses when retransmission are not feasible and to optimize the large scale distribution of contents. In this
Detchart, Jonathan +4 more
core
Reducing the distance between magnetic islands is essential for increasing the areal density in bit-patterned media recording (BPMR). Consequently, significant two-dimensional (2D) interference emerges, encompassing inter-symbol interference (ISI) and ...
Thien An Nguyen, Jaejin Lee
doaj +1 more source
A Level Set Method on Particle Flow Maps
ABSTRACT Accurate interface tracking is central to numerical simulations involving moving boundaries, including multiphase flows, free‐surface dynamics, phase‐change problems, and other interface‐driven processes in computational mechanics. Although, level set methods provide a flexible implicit representation of evolving interfaces, their grid‐based ...
Jinjin He +5 more
wiley +1 more source

