Generative adversarial networks review in earthquake-related engineering fields

GC Marano, MM Rosso, A Aloisio… - Bulletin of Earthquake …, 2023 - Springer
Within seismology, geology, civil and structural engineering, deep learning (DL), especially
via generative adversarial networks (GANs), represents an innovative, engaging, and …

[PDF][PDF] Handwriting recognition using artificial intelligence neural network and image processing

V Madane, K Ovhal, M Bhong - 2020 - irjmets.com
Due to increased usage of digital technologies in all sectors and in almost all day to day
activities to store and pass information, Handwriting character recognition has become a …

Radiographic morphology of canines tested for sexual dimorphism via convolutional-neural-network-based artificial intelligence

A Franco, AP Cornacchia, D Moreira, P Miamoto… - Morphologie, 2024 - Elsevier
The permanent left mandibular canines have been used for sexual dimorphism when
human identification is necessary. Controversy remains whether the morphology of these …

Binary decisions of artificial intelligence to classify third molar development around the legal age thresholds of 14, 16 and 18 years

A Franco, J Murray, D Heng, A Lygate, D Moreira… - Scientific Reports, 2024 - nature.com
Third molar development is used for dental age estimation when all the other teeth are fully
mature. In most medicolegal facilities, dental age estimation is an operator-dependent …

A novel algorithmic forex trade and trend analysis framework based on deep predictive coding network optimized with reptile search algorithm

S Dash, PK Sahu, D Mishra, PK Mallick, B Sharma… - Axioms, 2022 - mdpi.com
This paper proposed a short-term two-stage hybrid algorithmic framework for trade and trend
analysis of the Forex market by augmenting the currency pair datasets with transformed …

Multichannel Acoustic Spectroscopy of the Human Body for Inviolable Biometric Authentication

HW Noh, CG Ahn, SH Chae, Y Ku, JY Sim - Biosensors, 2022 - mdpi.com
Specific features of the human body, such as fingerprint, iris, and face, are extensively used
in biometric authentication. Conversely, the internal structure and material features of the …

Detecting adversarial examples with bayesian neural network

Y Li, T Tang, CJ Hsieh, T Lee - arXiv preprint arXiv:2105.08620, 2021 - arxiv.org
In this paper, we propose a new framework to detect adversarial examples motivated by the
observations that random components can improve the smoothness of predictors and make …

Terrain surveillance system with drone and applied machine vision

S Viswanath, RJ Krishnamurthy… - Journal of Physics …, 2021 - iopscience.iop.org
Road accidents are a major contribution to the Annual death rates all over the world. India,
ranks first globally in the number of fatalities from road accidents. According to the Ministry of …

The Implementation of Artificial Neural Network (ANN) on Offline Cursive Handwriting Image Recognition

F Fitrianingsih, DT Susetianingtias, D Pernadi… - ILKOM Jurnal …, 2022 - 103.133.36.110
Identifying a writing is an easy thing to do for human, but this does not apply to computers, in
particular if it is handwriting. Handwriting recognition, especially cursive handwriting is a …

A survey on recent deep learning architectures

G Bhargavi, S Vaijayanthi, J Arunnehru… - Artificial intelligence and …, 2021 - Springer
In artificial intelligence, the area is going rapidly towards tackling and solving problems that
are intellectually challenging for human beings, its almost straightforward for machines. A list …