[HTML][HTML] Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment

VM Vargas, PA Gutiérrez, R Rosati, L Romeo… - Computers in …, 2023 - Elsevier
In the last years, multiple quality control tasks consist in classifying some items based on
their aesthetic characteristics (aesthetic quality control, AQC), where usually the aspect of …

Tulu Language Text Recognition and Translation

AP Rodrigues, P Vijaya, R Fernandes - IEEE Access, 2024 - ieeexplore.ieee.org
Language is a primary means of communication, but it is not the only means; knowing a
language does, however, assist speed up the process. Many distinct languages are spoken …

An improved customized CNN model for adaptive recognition of cerebral palsy people's handwritten digits in assessment

K Muthureka, U Srinivasulu Reddy, B Janet - International Journal of …, 2023 - Springer
Cerebral palsy (CP) is used to describe a group of disorders, characterized by non-
progressive, but permanent damage to the developing brain that results in motor deficits …

[HTML][HTML] Inception 1D-convolutional neural network for accurate prediction of electrical insulator leakage current from environmental data during its normal operation …

JM Bueno-Barrachina, Y Ye-Lin… - … Applications of Artificial …, 2023 - Elsevier
Contamination flashover remains one of the biggest challenges for power grid designers
and maintenance engineers. Insulator leakage current contains relevant information about …

CNN based optical character recognition and applications

N Sarika, N Sirisala, MS Velpuru - 2021 6th International …, 2021 - ieeexplore.ieee.org
The procedure of translating images of handwritten, typewritten, or typed text into a format
recognized by computers is called Optical Character Recognition (OCR). Editing, indexing …

Subject-independent classification of motor imagery tasks in EEG using multisubject ensemble CNN

I Dolzhikova, B Abibullaev, R Sameni… - IEEE Access, 2022 - ieeexplore.ieee.org
Subject-independent (SI) classification is a major area of investigation in Brain-Computer
Interface (BCI) that aims to construct classifiers of users' mental states based on collected …

Image fundus classification system for diabetic retinopathy stage detection using hybrid CNN-DELM

DCR Novitasari, F Fatmawati, R Hendradi… - Big Data and Cognitive …, 2022 - mdpi.com
Diabetic retinopathy is the leading cause of blindness suffered by working-age adults. The
increase in the population diagnosed with DR can be prevented by screening and early …

A novel handwritten digit classification system based on convolutional neural network approach

AA Yahya, J Tan, M Hu - Sensors, 2021 - mdpi.com
An enormous number of CNN classification algorithms have been proposed in the literature.
Nevertheless, in these algorithms, appropriate filter size selection, data preparation …

[PDF][PDF] A hybrid system for handwritten character recognition with high robustness

A Sethy, PK Patra, SR Nayak - Traitement du Signal, 2022 - researchgate.net
Accepted: 20 March 2022 In the past few decades, the offline recognition of handwritten
Indic scripts has received much attention of researchers. Although an intensive research has …

Recognition of various scripts using machine learning and deep learning techniques-A review

S Sharma, S Gupta - 2021 6th International Conference on …, 2021 - ieeexplore.ieee.org
Due to the advancement of technology and computing, digitization of printed or handwritten
text has become popular these days. Artificial Intelligence (AI), plays an important role in the …