Results 81 to 90 of about 2,861 (219)
Urdu Handwritten Text Recognition Using ResNet18
Handwritten text recognition is an active research area in the field of deep learning and artificial intelligence to convert handwritten text into machine-understandable. A lot of work has been done for other languages, especially for English, but work for the Urdu language is very minimal due to the cursive nature of Urdu characters. The need for Urdu
openaire +2 more sources
Brain‐Inspired Neuromorphic Device for Artificial Intelligent Robots Applications
Brain‐inspired neuromorphic devices mimic biological systems to provide an efficient hardware foundation for embodied intelligent robotics. This review explores the material systems and corresponding computing architectures of neuromorphic devices that support low‐power perception, adaptive learning, and real‐time decision‐making.
Jiachen Han +3 more
wiley +1 more source
Research and Application of Image Enhancement and Correction Algorithm of Handwritten Steel Plate Numbering Based on Machine Vision [PDF]
Correct identification and inspection of steel plate numbers are major conditions for achieving automated production in production lines. In recent years, many production lines have been equipped with inkjet printers at the material preparation positions
XU Kuanguang, HE Dongyu, HAN Bing, LIU Yujia, LI Jiadong
doaj +1 more source
Abstract Automating bridge inspections requires more than detecting individual damage instances. It demands systems capable of describing, contextualizing, and interpreting damage in an inspection‐relevant manner. Conventional computer vision approaches, such as object detection and segmentation, primarily address visual recognition tasks and are ...
Rona Firdes Çelik +2 more
wiley +1 more source
Deep handwritten diagram segmentation
Handwriting is a natural way to communicate and exchange ideas, but converting handwritten diagrams to application‐specific digital formats requires skill and time.
Buntita Pravalpruk, Matthew N. Dailey
doaj +1 more source
Recognizing handwritten Arabic writing poses unique challenges for individuals with visual impairments due to the diverse range of calligraphic styles employed.
Manel Ayadi +4 more
doaj +1 more source
This publication describes how R. B. Woodward and Roald Hoffmann crafted their masterpiece publications. Illustrations include Woodward's first draft of the famous “Violations There are none. Nor can violations be expected of so fundamental a principle of maximum bonding.” Original but discarded text shows the stepwise paths toward the W‐H masterpieces.
Jeffrey I. Seeman
wiley +1 more source
A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks
ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü +6 more
wiley +1 more source
ABSTRACT Handwritten Dongba Character Recognition (HDCR) contains a large number of visually similar characters with subtle and fragile edge cues, posing severe challenges to feature learning. To address this issue, an Edge Channel Aggregation Network (EdgeCANet) model is proposed.
Xiali Li +3 more
wiley +1 more source
The Origins of the Human Rights Act: A ‘British Bill of Rights’ the First Time Around
Abstract This article reconstructs the first initiatives for a British Bill of Rights from the late 1960s to the mid‐1980s and argues that their failure shaped the eventual form of the Human Rights Act. Proposals for a Bill of Rights emerged across the political spectrum, but commanded most support on the right as a means of restraining trade unions ...
Marco Duranti, Chris Hilliard
wiley +1 more source

