Enhancing CNN model classification performance through RGB angle rotation method

Y Dogan, C Ozdemir, Y Kaya - Neural Computing and Applications, 2024 - Springer
In recent years, convolutional neural networks have significantly advanced the field of
computer vision by automatically extracting features from image data. CNNs enable the …

RGB-D feature extraction method for hand gesture recognition based on a new fast and accurate multi-channel cartesian Jacobi moment invariants

I El Ouariachi, R Benouini, K Zenkouar… - Multimedia Tools and …, 2022 - Springer
Due to the diversity of hand gestures uses in human computer interaction and the complexity
involved by gestures, many features have been proposed, however each feature has its own …

Local Neighborhood Average Pattern: A Handcrafted Feature Descriptor for Hand Gesture Recognition

A Bahuguna, SBT Namchyo… - … on Secure Cyber …, 2023 - ieeexplore.ieee.org
This paper proposes a handcrafted feature-based descriptor namely Local neighborhood
average pattern (LNAP) for static hand gesture recognition. The fact, that the local …

Application to efficient RGB-D sign language recognition using multi-channel Jacobi moment invariants

IE Ouariachi, R Benouini, K Zenkouar… - AIP Conference …, 2023 - pubs.aip.org
Multi-channel Jacobi Moment Invariants (MMI) is a novel feature extraction approach that we
present in this paper (MJMI). We begin by introducing the new MJM set. The RST Moment …

A Word-Based Moroccan Sign Language Dataset for Emergency Situations: Use Case COVID-19

IE Ouariachi, R Benouini, K Zenkouar… - … Conference on Advanced …, 2022 - Springer
As a direct result of the COVID-19 epidemic, persons who are hard of hearing or deaf have
lately been confronted with new obstacles. The health of this population is negatively …

Check for updates Triple Negative Breast Cancer and Non-Triple Negative Breast Cancer Recurrence Prediction Using Boosting Models

S Azeroual, F Ben-Bouazza, A Naqi¹… - … on Advanced Intelligent …, 2023 - books.google.com
The medical physicist has a crucial role in the choice of the treatment plan which should be
accurate to avoid the treatment failure, especially cancer recurrence. In this work, we tacked …