Results 81 to 90 of about 41,108,015 (283)

Using content based image retrieval techniques for the indexing and retrieval of Thai handwritten documents [PDF]

, 2010
This paper proposes the use of content base image retrieval (CBIR) techniques for indexing and retrieval of handwritten documents in Thai language. Issues associated with Thai handwritten documents are the lack of spacing between words, multi-level ...
Fung, C.C., Chun Che Fung, Sangsawad, S., Seksan Sangsawad   +3 more
core   +1 more source

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

General Models for Handwritten Text Recognition: Feasibility and State-of-the Art. German Kurrent as an Example

Journal of Open Humanities Data, 2021
Existing text recognition engines enables to train general models to recognize not only one specific hand but a multitude of historical hands within a particular script, and from a rather large time period (more than 100 years).
Tobias Hodel, David Schoch, Christa Schneider, J. Purcell   +3 more
semanticscholar   +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

Data Augmentation for Offline Handwritten Text Recognition: A Systematic Literature Review

SN Computer Science
Offline Handwritten Text Recognition (HTR) systems concern the automatic recognition and transcription of handwritten text from scanned images to digital media.
Arthur Flor de Sousa, Byron L. D. Bezerra, Gabriel Calazans Duarte de Moura, A. Toselli   +3 more
semanticscholar   +1 more source

Highly‐Uniform Passive Crossbar Arrays of Resistive Switching Random Access Memory (RRAM) for In‐Memory Computing Applications

Advanced Electronic Materials, EarlyView.
Passive resistive memory arrays promise efficient in‐memory computing but suffer from sneak paths and programming variability. Here, highly uniform 32 × 32 passive RRAM crossbars are programmed with multilevel precision below 3% error and 99.5% yield.
S. Ricci, P. Mannocci, M. Porzani, D. Bridarolli, F. Carletti, M. Farronato, D. Ielmini   +6 more
wiley   +1 more source

Attention-Based Fully Gated CNN-BGRU for Russian Handwritten Text

Journal of Imaging, 2020
This article considers the task of handwritten text recognition using attention-based encoder–decoder networks trained in the Kazakh and Russian languages.
Abdelrahman Abdallah, Mohamed Hamada, Daniyar Nurseitov   +2 more
doaj   +1 more source

TILPDeep: A Lightweight Deep Learning Technique for Handwritten Transformed Invariant Pashto Text Recognition

IEEE Access, 2023
Pashto is the native language of Afghanistan and one of Pakistan’s most essential and regional languages. The Pashto language has a vast number of native speakers who live in various parts of the world.
Muhammad Shabir, Zahoor Jan, Naveed Islam, Inayat Khan, Gauhar Ali, Mohammed ElAffendi   +5 more
doaj   +1 more source

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

Diffusion-Enhanced NAT–BART Vision Language Transformer for Unified Urdu Word Recognition

IEEE Access
Handwritten Urdu text recognition remains a very challenging problem due to the cursive and complex nature of the Nastaliq script. Each writer has a unique style, and there is a severe lack of large, well-labeled datasets. These challenges make Urdu text
Wahid Hussain, Shahbaz Hassan, Isma Ul Hassan, Ahmad Raza Shahid, Asif Naeem, Muhammad Usman Yaseen, Nouman Ashraf   +6 more
doaj   +1 more source