Publications

Thermics

Mapping global and continental research trends in mixed-mode solar dryers: A bibliometric perspective

As sustainable substitutes for traditional fossil fuel-based agricultural product drying techniques, solar drying technologies have drawn more attention in recent times. A vast and intricate body of knowledge has been produced by the quick expansion…

Kartik Mandavia, Himanshukumar Patel, Pranav Mehta, Vivek Patel, Vipul Shah, Ravishankar Sathyamurthy, David Bassir, Ghanshyam G Tejani

Energy Reports - 2028

Engineering Sciences

Failure prognostics under sensor degradation: A comparative study of online and batch Bayesian inference

Accurate failure prognostics and Remaining Useful Life (RUL) prediction are critical for prognostics and health management, but remain challenging when sensor degradation and stochastic dependencies are present. This study compares two Bayesian…

Hai-Canh Vu, Mitra Fouladirad, David Bassir, Thao Nguyen-Trang

Reliability Engineering and System Safety - 2027

Mathematics

Are discrete diffusion models with few data just optimised copy-paste generative methods ?

Diffusion models achieve strong generative performance in many applications, but remain difficult to interpret. This issue is particularly important in medical imaging, where datasets are often small and the novelty of generated images must be…

Denis Duval, Agnès Desolneux

Artificial Intelligence

GraphToolbox: A Configurable Python Framework for Graph Neural Network Forecasting

Electricity forecasting often involves spatially related signals observed over regions, substations, and feeders, and Graph Neural Networks (GNNs) provide a natural way to represent these relations. Building a complete GNN forecasting experiment is…

Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude, Argyris Kalogeratos

38th IEEE International Conference on Tools with Artificial Intelligence (ICTAI) - 2026

Neuroscience

Radiological management of reversible cerebral vasoconstriction syndrome (RCVS) in France: a national multicenter survey

Benoît Dimitrov, Thomas Samoyeau, Thibault Agripnidis, Luca Scarcia, Victor Dumas, Géraud Forestier, Gaultier Marnat, Guillaume Charbonnier, François Zhu, Quentin Holay, Julien Boucherit, Eimad Shotar, Baptiste Donnard, Alexis Guedon, Guillaume Bellanger, Julien Ognard, Jonathan Cortese, Guillaume Tessier, Aymeric Rouchaud, Lucile Hausser, Claire Boutet, Joachim Bousquet, Aboubacar Keita, Augustin Lecler, Paolo Pagano, Julien Burel, Vincent L’allinec

American Journal of Neuroradiology - 2026

Machine Learning

Beyond Gaussian Worlds: Latent Geometry Matters for JEPAs

Recent Joint-Embedding Predictive Architectures (JEPAs) prevent representation collapse by constraining learned representations to follow a prescribed target distribution, such as an isotropic Gaussian or the uniform distribution on a hypersphere…

Léo Nicollier, Enric Meinhardt-Llopis, Marc Pic, Pablo Musé, Gabriele Facciolo

Computation and Language

Named Entity-Driven Graph Smoothing to Enhance Pretrained Document Embeddings in Clustering Tasks

Named Entity Recognition (NER) extracts structured semantic elements, such as persons, organizations, or biomedical concepts, that enhance document understanding. Rather than replacing pretrained document embeddings, we refine them by injecting…

Imed Keraghel, Mohamed Nadif

SIGIR '26: The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval - 2026

Engineering Sciences

Contribution of AI and Machine Learning in the Optimization of Ultrasensitive Biosensors: Review

Artificial intelligence (AI) and machine learning (ML) are reshaping the design, fabrication, and deployment of ultrasensitive biosensors by enabling data-driven optimization across the entire sensing pipeline. This review examines how ML assisted…

David Bassir, Muhammad Awais, Ata Jahangir Moshayedi

MATEC Web of Conferences - 2026

Geography

Optimal transport for primary care planning

This paper proposes a new model based on optimal transport theory that provides both a local and global measure of access to primary care. We extend a previously introduced OT-based spatial heterogeneity index designed to analyse spatial disparities…

Souleymane Kane Diallo, Joseph Touzet, Xavier Bacon

Engineering Sciences

YOLOv8-EVdet: An emergency vehicle detection method for autonomous vehicles

This work presents a deep-learning based approach for emergency vehicle detection and classification for various driving conditions. Conventional vision-based methods often struggle with poor lighting, motion blur, and occlusions caused by…

Petros Loukas, David Bassir, Angelos Amanatiadis

International Journal of Advanced Robotic Systems - 2026