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Ali Hassani, Jon Diedrich and Hafiz Malik
Face-recognition for monocular systems (e.g., phones and buildings).
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Munir Ahmad, Sagheer Abbas, Areej Fatima, Ghassan F. Issa, Taher M. Ghazal and Muhammad Adnan Khan
The importance of accurate livestock identification for the success of modern livestock industries cannot be overstated as it is essential for a variety of purposes, including the traceability of animals for food safety, disease control, the prevention o...
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Tiago P. Pagano, Rafael B. Loureiro, Fernanda V. N. Lisboa, Gustavo O. R. Cruz, Rodrigo M. Peixoto, Guilherme A. de Sousa Guimarães, Ewerton L. S. Oliveira, Ingrid Winkler and Erick G. Sperandio Nascimento
The majority of current approaches for bias and fairness identification or mitigation in machine learning models are applications for a particular issue that fails to account for the connection between the application context and its associated sensitive...
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Zhi-Lin Chen and Kang-Ming Chang
This study investigated the influence of saccadic eye movements and emotions on real and animated faces to enhance a detailed perception of facial information. Considering the cross-cultural differences in facial features, animated faces also influence v...
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Roopdeep Kaur, Gour Karmakar and Muhammad Imran
In digital image processing, filtering noise is an important step for reconstructing a high-quality image for further processing such as object segmentation, object detection, and object recognition. Various image-denoising approaches, including median, ...
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Monica Macrì, Elena Toniato, Giovanna Murmura, Giuseppe Varvara and Felice Festa
Background and objectives. This paper aimed to evaluate the changes in mean bone density values of the midpalatal suture (MPS) in 392 young patients treated with a rapid palatal expander (RPE) appliance, depending on sex and vertical and sagittal skeleta...
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Hussein Abdel-Jaber, Disha Devassy, Azhar Al Salam, Lamya Hidaytallah and Malak EL-Amir
Deep learning uses artificial neural networks to recognize patterns and learn from them to make decisions. Deep learning is a type of machine learning that uses artificial neural networks to mimic the human brain. It uses machine learning methods such as...
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Alin Viorel Istodor, Laura-Cristina Rusu, Gratiela Georgiana Noja, Alexandra Roi, Ciprian Roi, Emanuel Bratu, Georgiana Moise, Maria Puiu, Simona Sorina Farcas and Nicoleta Ioana Andreescu
Examining specific patterns of major cranio-facial alterations through cephalometric measurements in order to improve the Prader?Willi (PWS) syndrome diagnostic poses a major challenge of identifying interlinkages between numerous credentials. These inte...
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Ewa Zawislak, Anna Olejnik, Roman Fratczak and Rafal Nowak
The analysis aimed at studying stresses reduced according to Huber?s hypothesis and displacement patterns at selected sites of the facial skeleton using a tooth-borne appliance in surgically assisted rapid maxillary expansion. Five different variants of ...
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Abdulrahman Alreshidi and Mohib Ullah
Facial emotion recognition is a crucial task for human-computer interaction, autonomous vehicles, and a multitude of multimedia applications. In this paper, we propose a modular framework for human facial emotions? recognition. The framework consists of ...
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