Results 91 to 100 of about 2,577,807 (291)

ANN-based Innovative Segmentation Method for Handwritten text in Assamese [PDF]

open access: yes, 2009
Artificial Neural Network (ANN) s has widely been used for recognition of optically scanned character, which partially emulates human thinking in the domain of the Artificial Intelligence.
Sarma, Kandarpa Kumar   +1 more
core  

Handwritten Character Recognition in Table-Based Application [PDF]

open access: yes, 2020
Portable tablet PCs are very useful in relevant industry of this agebecause tablets are elegant in appearance and convenient to use. Important things arenoted on tablet by handwriting easily in respective industry.
Wai, Myat Thiri
core   +1 more source

Gate Metal‐Driven Sensing and Memory Bifunctionality in Intrinsically Stretchable Organic Electrochemical Transistors for Soft Neuromorphic Systems

open access: yesAdvanced Science, EarlyView.
Intrinsically stretchable OECTs enable bifunctional operations via gate engineering. Polarizable Ag/AgCl gates provide volatile sensing, while Au gates enable non‐volatile memory. The SEBS‐blended channel maintains performance under strain, supporting reliable signal transduction.
Jiyong Yoon   +8 more
wiley   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

open access: yesAdvanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos   +4 more
wiley   +1 more source

Bengali handwritten character recognition using modified syntactic method [PDF]

open access: yes, 2005
Several approaches have been proposed to recognize handwritten Bengali characters using different curve fitting algorithms and curvature analysis. In this paper, a new algorithm (Curve-fitting Algorithm) to identify various strokes of a handwritten ...
Hashem, M. M. A.   +3 more
core  

Analog Weight Update Rule in Ferroelectric Hafnia, Using picoJoule Programming Pulses

open access: yesAdvanced Electronic Materials, EarlyView.
Resistive, ferroelectric synaptic weights based on BEOL‐compatible hafnia/zirconia nanolaminates are fabricated. Lateral downscaling the devices below 10 µm2 enables 20 ns programming with electrical pulses, dissipating ≤ 3 pJ. Experimental results show that final conductance state is set by pulse amplitude, and is largely independent of the initial ...
Alexandre Baigol   +7 more
wiley   +1 more source

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

open access: yesE3S 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   +4 more
doaj   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels   +4 more
wiley   +1 more source

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

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