Spatial dynamic prediction of landuse/landcover change (case study: tamalanrea sub-district, makassar city)

AMY Hakim, S Baja, DA Rampisela… - IOP Conference Series …, 2019 - iopscience.iop.org
The phenomenon of landuse change from an undeveloped area into a built-up area is often
the case, especially in big cities. Population growth, both in birth and migration rates, is one …

Non-destructive testing by eddy current sensor for crack orientation detection using HHO optimizer by differential probe

S Harzallah, B Nabil - Construction and Building Materials, 2024 - Elsevier
In this research, the design of non-destructive eddy current evaluation systems was
improved using Harris Hawks optimization (HHO). To determine the orientation of cracks …

Non destructive eddy currents inversion using artificial neural networks and data augmentation

R Cormerais, R Longo, A Duclos, G Wasselynck… - NDT & E …, 2022 - Elsevier
Abstract Eddy Currents (ECs) for Non Destructive Testing (NDT) is a method to determine
the presence of flaws in metal materials. The estimation of flaw parameters like position and …

Modelling land use/land cover changes prediction using multi-layer perceptron neural network (MLPNN): a case study in Makassar City, Indonesia

AMY Hakim, S Baja, DA Rampisela… - International Journal of …, 2021 - Taylor & Francis
ABSTRACT This study used Remote Sensing and Geographic Information System (GIS)
tools to produce a predictive model of land use/land cover changes in Makassar City by …

New approach for determining the fracture parameters by electromagnetic-mechanical coupling

H Salaheddine, B Nabil - Theoretical and Applied Fracture Mechanics, 2024 - Elsevier
This paper introduces a novel method for assessing fracture mechanics parameters such as
Stress Intensity Factor (SIF), Energy Release Rate (J) and Crack Tip Opening Displacement …

[PDF][PDF] A Deep-Learning-Based Road Deterioration Notification and Road Condition Monitoring Framework.

Z Boucetta, AE Fazziki, ME Adnani - International Journal of Intelligent …, 2021 - inass.org
Road deteriorations threaten people 'safety as they are considered one of the major causes
of road accidents leading to significant human and material losses. Automatic detection of …

Crack growth optimization using eddy current testing and genetic algorithm for estimating the stress intensity factors

M Aouissi, S Harzallah, A Cheddad - Acta Mechanica, 2024 - Springer
This study developed a procedure for rapidly reconstructing a crack profile for calculating the
parameters of fracture mechanics such as stress intensity factor with energy release rate (J) …

Integrating AI in NDE: Techniques, Trends, and Further Directions

E Pérez, CE Ardic, O Çakıroğlu, K Jacob… - arXiv preprint arXiv …, 2024 - arxiv.org
The digital transformation is fundamentally changing our industries, affecting planning,
execution as well as monitoring of production processes in a wide range of application …

3D crack identification using the Nelder-Mead Simplex algorithm combined with a random generation of crack positions

N Amoura, H Kebir, A Benzerdjeb - Frattura ed Integrità Strutturale, 2022 - fracturae.com
In this paper, we present a scheme for cracks identification in three-dimensional linear
elastic mechanical components. The scheme uses a boundary element method for solving …

New non-destructive testing approach based on eddy current for crack orientation detection and parameter estimation

M Guesmi, S Harzallah… - International Journal of …, 2021 - content.iospress.com
Crack orientation is a vital factor in the behavioral study of fractures, especially the study of
crack propagation in structures that are under dynamic or fatigue loading. Indeed, many non …