Results 51 to 60 of about 2,737 (252)

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

Optoelectronic‐Driven van der Waals Ferroelectric Materials‐Based Memory Devices for Retinomorphic and In‐Sensory Hardware

Advanced Science, EarlyView.
2D ferroelectrics materials enabling non‐volatile polarization memory, optical excitability, and neuromorphic processing within a unified material and provides a mechanistic analysis of polarization‐induced band modulation, including photon‐assisted domain reorientation, switching kinetics, and interfacial dipole coupling that governs resistive ...
Parthasarathi Pal, Yeong‐Her Wang, Sanjay Kumar, Themis Prodromakis   +3 more
wiley   +1 more source

A Pix2Pix Architecture for Complete Offline Handwritten Text Normalization

Sensors
In the realm of offline handwritten text recognition, numerous normalization algorithms have been developed over the years to serve as preprocessing steps prior to applying automatic recognition models to handwritten text scanned images. These algorithms
Alvaro Barreiro-Garrido, Victoria Ruiz-Parrado, A. Belen Moreno, Jose F. Velez   +3 more
doaj   +1 more source

Organic Thin‐Film Transistors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy, Mohan V. Jacob, Mostafa Rahimi Azghadi   +2 more
wiley   +1 more source

Deep Sparse Auto-Encoder Features Learning for Arabic Text Recognition

IEEE Access, 2021
One of the most recent challenging issues of pattern recognition and artificial intelligence is Arabic text recognition. This research topic is still a pervasive and unaddressed research field, because of several factors.
Najoua Rahal, Maroua Tounsi, Amir Hussain, Adel M. Alimi   +3 more
doaj   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

A Scalable Handwritten Text Recognition System [PDF]

2019 International Conference on Document Analysis and Recognition (ICDAR), 2019
Many studies on (Offline) Handwritten Text Recognition (HTR) systems have focused on building state-of-the-art models for line recognition on small corpora. However, adding HTR capability to a large scale multilingual OCR system poses new challenges.
Ingle, R. Reeve, Fujii, Yasuhisa, Deselaers, Thomas, Baccash, Jonathan, Popat, Ashok C.   +4 more
openaire   +2 more sources

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

Arabic Handwritten Letters Recognition Using Convolutional Neural Networks

Advances in Electrical and Computer Engineering
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

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