Publications

Engineering Sciences

Integration of the AI and ML Approaches for Prediction Analysis in Welding: Review

Welding techniques are presents in almost all industries from automotive, aerospace, building, etc. Despite the fact that the technology behind welding remain simple, it is very complicated to characterize and predict the final mechanics responses…

David Bassir

Advances in Machinery, Materials Science and Engineering Application IX - 2023

Engineering Sciences

Evaluation of the possibility of determining fluctuations that could demonstrate the presence of particles interacting with photons

We are investigating the improvement of the precision of the means of measurement to determine if it is possible to have sufficient sensitivity to the detection of the effects of elementary particles which would be characteristic of dark matter. A…

Patrice Salzenstein, David Bassir

Photonics for Energy III - 2023

Engineering Sciences

Predicting Models for Local Sedimentary Basin Effect Using a Convolutional Neural Network

Although the numerical models can estimate the significant influence of local site conditions on the seismic propagation characteristics near the surface in many studies, they cannot feasibly predict the seismic ground motion amplification in…

Xiaomei Yang, Miao Hu, Xin Chen, Shuai Teng, Gongfa Chen, David Bassir

Applied Sciences - 2023

Engineering Sciences

A Symmetry Concept for the Self-Assembly Synthesis of Mn-MIL-100 Using a Capping Agent and Its Adsorption Performance with Methylene Blue

In this study, a facile strategy of regulated self-assembly synthesis of Mn-MIL-100, using sodium acetate (CH3COONa) as a mono-dentate ligand capping agent (CA), was proposed. The as-prepared product is denoted Mn-MIL-100-CA. The coordination…

Guolin Song, Chengzhu Shen, David Bassir, Qiulin Li

Symmetry - 2023

Engineering Sciences

Application of artificial intelligence and machine learning for BIM: review

Quality control is very important aspect in Building Information Modelling (BIM) workflows. Whatever stage of the lifecycle it is important to get and to follow building indicators. The BIM it is very data consuming field and analysis of these data…

David Bassir, Hugo Lodge, Haochen Chang, Jüri Majak, Gongfa Chen

International Journal for Simulation and Multidisciplinary Design Optimization - 2023

Software Engineering

Repeatability, Reproducibility, Replicability, Reusability (4R) in Journals' Policies and Software/Data Management in Scientific Publications: A Survey, Discussion, and Perspectives

With the recognized crisis of credibility in scientific research, there is a growth of reproducibility studies in computer science, and although existing surveys have reviewed reproducibility from various perspectives, especially very specific…

José Armando Hernández, Miguel Colom

Computer Science

Reproducible Research in Pattern Recognition

Bertrand Kerautret, Miguel Colom, Adrien Krähenbühl, Daniel Lopresti, Pascal Monasse, Benjamin Perret

Fourth International Workshop, RRPR 2022, Montreal, Canada, August 21, 2022, Revised Selected Papers - 2023

Mathematics

Anisotropic diffusion filter for 3D full waveform inversion: application to a North Sea dataset

Main objectives To present a regularization strategy for seismic imaging using the full waveform which naturally accounts for the structure information contained in the gradient. A comparison with a conventional Gaussian smoothing strategy on a 3D…

Ludovic Métivier, Romain Brossier, Alexandre Hoffmann, Jean-Marie Mirebeau, Giuseppe Provenzano, Alizia Tarayoun, Peng Yong

84th EAGE Annual Conference & Exhibition - 2023

Computer Science

Derivation of a protocol agnostic current clamp description for the cross-analysis of diverse neuronal electrophysiological databases

Biophysically realistic spiking network models rely on the ability of the cellular models to be coherent with the biological diversity of cellular properties and electrophysiological behavior, for example how synaptic conductance inputs impact…

Julien Ballbé, Margaux Calice, Marta Gajowa, Daniele Marinazzo, Lyle J Graham

Annual Meeting of the Society of Neuroscience - 2023

Computer Science

Efficient approximations for probabilistic synaptic connectivity in large-scale network models

Several point-neuron network models combine data from anatomy and electrophysiology, with probability or deterministic rules to construct realistic synaptic connections. For reviews of these models and general guidelines for network models see (2,3)…

Margaux Calice, Julien Ballbé, Lyle J Graham

Annual Meeting of the Society of Neuroscience - 2023