Handwritten computer science words vocabulary recognition using concatenated convolutional neural networks

S Hamida, O El Gannour, B Cherradi, H Ouajji… - Multimedia Tools and …, 2023 - Springer
Handwriting recognition is a multi-step process that includes data collection, preprocessing,
feature extraction, and classification in order to create a final prediction. This process …

[PDF][PDF] Sentiment Analysis onMoroccan Dialect based on ML and Social Media Content Detection

M Errami, MA Ouassil, R Rachidi, B Cherradi… - 2023 - academia.edu
As technology continues to evolve, humans tend to follow suit, and currently social media
has taken place as the defacto method of communication. As it tends to happen with verbal …

Machine learning (ML)-based Braille Lippi characters and numbers detection and announcement system for blind children in learning

KSL Kazi - Social Reflections of Human-Computer Interaction in …, 2024 - igi-global.com
Character and number recognition in Braille Lippi is the process by which a computer can
recognise language. To read students' and lecturers' Braille Lippi notes, a character …

[HTML][HTML] Detecting the flame front evolution in spark-ignition engine under lean condition using the mask R-CNN approach

L Petrucci, F Ricci, R Martinelli, F Mariani - Vehicles, 2022 - mdpi.com
In the wake of previous works, the authors propose a new approach for the identification and
evolution of the flame front in an optical SI engine. Currently, it is an essential prerogative to …

Role of artificial intelligence in the enabling sustainable supply chain management during COVID-19

MU Tariq - International Journal of Services and Operations …, 2023 - inderscienceonline.com
The purpose of the paper is to investigate the functions of artificial intelligence in supply
chain management. In recent years, artificial intelligence framework has accomplished …

A novel twin support vector machine with generalized pinball loss function for pattern classification

W Panup, W Ratipapongton, R Wangkeeree - Symmetry, 2022 - mdpi.com
We introduce a novel twin support vector machine with the generalized pinball loss function
(GPin-TSVM) for solving data classification problems that are less sensitive to noise and …

An optimized handwritten polynomial equations solver using an enhanced inception V4 model

S Senthilkumar, K Brindha, JM Chatterjee… - Multimedia Tools and …, 2024 - Springer
In algebra, polynomials are expressions in which a sum is multiplied by its coefficients
involving one or more variables such as a 0 xn+ a 1 xn− 1+ a 2 xn− 2+…+ an. This paper …

Convolutional neural networks based on fractional-order momentum for parameter training

T Kan, Z Gao, C Yang, J Jian - Neurocomputing, 2021 - Elsevier
This paper proposes a parameter training method via the fractional-order momentum for
convolutional neural networks (CNNs). To update the parameters of CNNs more smoothly …

[PDF][PDF] Thai digit handwriting image classification with convolutional neural networks

K Khunratchasana… - Indones. J. Electr. Eng …, 2022 - researchgate.net
This paper aims to determine the efficiency in classifying and recognizing Thai digit
handwritten using convolutional neural networks (CNN). We created a new dataset called …

Digit and Mark Recognition Using Convolutional Neural Network for Voting Digitization in Indonesia

M Mandasari, B Al Qohar - Journal of Information System …, 2024 - shmpublisher.com
Digitization of voting results in Indonesia is essential to ensure the accuracy and integrity of
the election process. This research introduces an innovative approach that uses …