Results 41 to 50 of about 2,560 (230)

Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization

Advanced Science, EarlyView.
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley   +1 more source

T.M.: Script-independent handwritten textlines segmentation using active contours [PDF]

, 2009
Handwritten document images contain textlines with multi orientations, touching and overlapping characters within consecutive textlines, and small inter-line spacing making textline segmentation a difficult task.
Syed Saqib Bukhari, Faisal Shafait, Thomas M. Breuel   +2 more
core   +1 more source

MDIW-13: a New Multi-Lingual and Multi-Script Database and Benchmark for Script Identification [PDF]

, 2023
Script identification plays a vital role in applications that involve handwriting and document analysis within a multi-script and multi-lingual environment. Moreover, it exhibits a profound connection with human cognition.
Ferrer, Miguel A., Miguel A. Ferrer, Morales Moreno, Aythami, Abhijit Das, Pal, Umapada, Díaz Cabrera, Moisés, Cristina Carmona-Duarte, Aythami Morales, Carmona-Duarte, Cristina, Das, Abhijit, Moises Diaz, Morales, Aythami, Ferrer Ballester, Miguel Ángel, Diaz, Moises, Carmona Duarte, María Cristina, Umapada Pal   +15 more
core   +1 more source

Strategy of Triple‐Gradient in Binary Pixels for Flexible Pressure Sensing with High Sensitivity and Wide‐Range Linearity

Advanced Science, EarlyView.
A flexible pressure sensor with triple‐gradient design of conductivity, modulus, and dimension in binary micro‐dome pixels is proposed. Based on precisely‐designed CNT/PDMS matrix, the device exhibits a linear sensitivity of 974.1 kPa−1 across range up to 1.8 MPa (R2 > 0.99), offering an effective strategy for potential applications in healthcare ...
Yifan Liu, Xiao Xu, Fengming Hu, Yuanzhe Liang, Zidong Yin, Biao Qi, Ruolin Liu, Ziyi Dai, Jianyi Luo, Bingpu Zhou   +9 more
wiley   +1 more source

Advancements in CNN Architectures for Offline Handwritten Arabic Character Recognition [PDF]

E3S Web of Conferences
Analyzing and classifying images of Arabic handwritten characters is crucial for text understanding and interpretation from image data. The recognition of handwritten Arabic characters not only preserves the integrity of the Arabic language but also ...
El Ibrahimi Aissam, Elzaar Abdellah, El Akchioui Nabil, Benaya Nabil, El Allati Abderrahim   +4 more
doaj   +1 more source

Text Recognition for Nepalese Manuscripts in Pracalit Script

Journal of Open Humanities Data, 2022
This dataset is a model for handwritten text recognition (HTR) of Sanskrit and Newar Nepalese manuscripts in Pracalit script. This paper introduces the state of the field in Newar literature, Newar manuscripts, and HTR engines.
Alexander James O’Neill, Nathan Hill
doaj   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Segmentation of Thai handwritten text for automatic document retrieval [PDF]

, 2008
There is a huge amount of documents in Thai government organizations. Although automatic document image retrieval systems in English have been proposed and developed, there are no specific system which is capable to retrieve relevant information from ...
Fung, C.C., Chamchong, R.
core   +1 more source

Machine Learning Approach for Arabic Handwritten Recognition

Applied Sciences
Text recognition is an important area of the pattern recognition field. Natural language processing (NLP) and pattern recognition have been utilized efficiently in script recognition.
A. M. Mutawa, Mohammad Y. Allaho, Monirah Al-Hajeri   +2 more
doaj   +1 more source

A NEW HYBRID SYSTEM FOR RECOGNITION OF HANDWRITTEN-SCRIPT

International Journal of Computing, 2014
A new method for object recognition and classification is presented in this paper. It merges two well-known and tested methods: neural networks and method of minimal eigenvalues. Each of these methods answers for a different part of recognition process. Method of minimal eigenvalues makes preparatory stage of analysis – of coordinates of characteristic
Khalid Saeed 0001, Marek Tabedzki
openaire   +2 more sources