Results 101 to 110 of about 1,922 (260)
Arabic Handwritten Letters Recognition Using Convolutional Neural Networks
Arabic handwriting recognition is a complex task due to the script’s cursive nature, the presence of diacritics, character positioning, connected letters, and variations in individual writing styles.
SIDAOUI, B., KAOUAN, M.
doaj +1 more source
Abstract Objective Maternal and neonatal mortality remain high in Sierra Leone despite significant decline in the last decade. The aim of the present study was to evaluate obstetric care delivery using the Robson Ten Group Classification System (TGCS), focusing on caesarean delivery (CD) and task‐sharing.
Josien Westendorp +10 more
wiley +1 more source
Organic electrochemical transistor‐based tactile perception: From sensing to neuromorphic processing
Organic electrochemical transistors (OECTs) offer a unique platform for tactile perception electronics by coupling ionic and electronic transport. This review highlights recent advances in OECT‐based temperature and pressure sensing, emphasizing material design, device architectures, operating mechanisms, and fabrication strategies toward flexible ...
Xuefeng Zhang +10 more
wiley +1 more source
ABSTRACT People with disabilities (PWD) often face barriers to inclusion at work. To tackle this challenge, past research focused on the role of organizations to create more inclusive workplaces. What remains understudied, however, is the role that PWD often take themselves in shaping their inclusion experiences.
Louisa Antonia Riess +2 more
wiley +1 more source
Interleaved Diffractive Networks for Information Transfer Through Random Diffusers
This work presents a cascaded diffractive optical network that enables information transfer through random, unknown diffusers using passive, interleaved structured layers that mitigate scattering without digital computation. A hybrid optical‐digital version further improves robustness and reconstruction fidelity under distortions, with both simulations
Yuhang Li +4 more
wiley +1 more source
Handwritten Sindhi Character Recognition Using Neural Networks
OCR (OpticalCharacter Recognition) is a technology in which text image is used to understand and write text by machines. The work on languages containing isolated characters such as German, English, French and others is at its peak.
Shafique Ahmed Awan +4 more
doaj
An optoelectronic synapse based on Zr‐doped Bi4Ti3O12 exhibits learning/forgetting mimicry and achieves 94.2% accuracy on MNIST, demonstrating a novel pathway for high‐performance neuromorphic computing. ABSTRACT This study enhanced the optoelectronic properties of BIT (Bi4Ti3O12) through Zr doping at the B site, constructing an Au/Bi4Ti2.85Zr0.15O12 ...
Dongping Yang +5 more
wiley +1 more source
Names in the genus Pinguicula established for taxa from the Baltic and Nordic countries, including their oversea territories and Iceland, were analyzed to provide nomenclatural and taxonomic clarity. Of the 33 names retrieved from the literature and online databases, one is illegitimate, two are invalid and 16 were found to require typification.
Yoannis Domínguez
wiley +1 more source
Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel +2 more
wiley +1 more source
ABSTRACT Over the past decades, science education research has extensively examined the role of metaphors in teaching and learning science. However, much of the existing research has focused on verbal manifestations of metaphors, thereby overlooking aspects of metaphors that may occur in non‐verbal form. This study reconceptualises metaphors as dynamic
Magdalena Kersting +2 more
wiley +1 more source

