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 …
An ensemble novel architecture for Bangla Mathematical Entity Recognition (MER) using transformer based learning
Mathematical entity recognition is indispensable for machines to accurately explain and
depict mathematical content and to enable adequate mathematical operations and …
depict mathematical content and to enable adequate mathematical operations and …
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 …
Judging Stock Trends According to the Sentiments of Stock Comments in Expert Forums
Z Chang, Z Zhang - Electronics, 2023 - mdpi.com
Machine learning has been proven to be very effective and it can help to boost the
performance of stock price predictions. However, most researchers mainly focus on the …
performance of stock price predictions. However, most researchers mainly focus on the …
Applying Deep Learning in Mars Exploration: A neural network-based study to classify Martian terrain features
The red planet has persisted in being the top destination for space exploration and has also
fascinated researchers to experiment with frequently launched its dataset of images. NASA …
fascinated researchers to experiment with frequently launched its dataset of images. NASA …
Railway Track Defect Detection using Transfer Learning With EfficientNetB3
Regular railway track inspection is critical for ensuring safe and dependable train
operations. Deformations, sediment issues, rail discontinuity, loose nuts and bolts, burnt …
operations. Deformations, sediment issues, rail discontinuity, loose nuts and bolts, burnt …
Handwritten Mathematical Symbol Recognition using Neural Network Architectures
K Padmanandam, A Yadav… - 2022 6th International …, 2022 - ieeexplore.ieee.org
Mathematical symbol recognition is a topic of attention that convert physical documents into
digital format. Despite the existing techniques to recognize handwritten characters and …
digital format. Despite the existing techniques to recognize handwritten characters and …