Deep embedded hybrid CNN–LSTM network for lane detection on NVIDIA Jetson Xavier NX
In recent years, lane detection has become one of the most important factors in the progress
of intelligent vehicles. To deal with the challenging problem of low detection precision and …
of intelligent vehicles. To deal with the challenging problem of low detection precision and …
Machine learning and non-machine learning methods in mathematical recognition systems: Two decades' systematic literature review
Tools based on machine learning (ML) have seen widespread application in the prediction
and categorization of mathematical symbols and phrases. The purpose of this work is to …
and categorization of mathematical symbols and phrases. The purpose of this work is to …
Two decades of bengali handwritten digit recognition: A survey
Handwritten Digit Recognition (HDR) is one of the most challenging tasks in the domain of
Optical Character Recognition (OCR). Irrespective of language, there are some inherent …
Optical Character Recognition (OCR). Irrespective of language, there are some inherent …
A dive in white and grey shades of ML and non-ML literature: a multivocal analysis of mathematical expressions
With the advent and advancement of machine learning and deep learning techniques,
machine-based recognition systems for mathematical text have captivated the attention of …
machine-based recognition systems for mathematical text have captivated the attention of …
Comparative study on the performance of the state-of-the-art CNN models for handwritten Bangla character recognition
In the realm of Optical Character Recognition, handwritten character recognition in Bangla is
still an unresolved challenge. There have been many breakthroughs in object recognition …
still an unresolved challenge. There have been many breakthroughs in object recognition …
Abstraction and decision fusion architecture for resource-aware image understanding with application on handwriting character classification
Resource-aware image understanding aims to achieve a soft equilibrium by effectively
managing the constraints imposed by computational resources while improving the …
managing the constraints imposed by computational resources while improving the …
A methodology for character recognition and revision of the linear equations solving procedure
MCG Neri, OOV Villegas, VGC Sánchez… - Information Processing …, 2023 - Elsevier
Linear equations are valuable for real-world modeling phenomena involving at least one
variable. However, verifying if the procedure followed by a human for solving a linear …
variable. However, verifying if the procedure followed by a human for solving a linear …
Cnn-based handwritten mathematical symbol recognition model
Mathematical expression or formula recognition system is evolving field in pattern
recognition. Various methods are implemented by different researchers on wide areas …
recognition. Various methods are implemented by different researchers on wide areas …
Handwritten polynomial equation recognition and simplification using convolutional neural network
Polynomials are algebraic expressions involving a sum of powers in one or more variables
multiplied by its coefficients. If x is a variable, a0x n+ a1x n-1+ a2x n-2+....+ an then it's a (n) …
multiplied by its coefficients. If x is a variable, a0x n+ a1x n-1+ a2x n-2+....+ an then it's a (n) …
Towards building a bangla text recognition solution with a multi-headed cnn architecture
Bangla is among the ten most popular languages in the world by the number of speakers.
The task of Bangla recognition is quite challenging than other languages because of the …
The task of Bangla recognition is quite challenging than other languages because of the …