Publications

• Article dans une revue

Closed-form solutions for wave propagation in hexagonal diatomic non-local lattices

F. Ongaro, P.H. Beoletto, F. Bosia, M. Miniaci, N.M. Pugno

Periodic mass–spring lattices are commonly used to investigate the propagation of waves in elastic systems, including wave localisation and topological protection in phononic crystals and metamaterials. Recent studies have shown that introducing non-neighbouring (i.e., beyond nearest neighbour)…

International Journal of Mechanical Sciences, 2025, 291-292, pp.110095. ⟨10.1016/j.ijmecsci.2025.110095⟩. ⟨hal-05014235⟩

• Chapitre d'ouvrage

Lagrange’s Method and Lagrangian’s Mechanism in Maxwell’s A Treatise on Electricity and Magnetism (1873)

Raffaele Pisano, Donatella Marmottini, Andrea Durlo

James Clerk Maxwell advanced Electromagnetic theory, while also mathematically enlarging Michael Faraday’s works. He declined Newtonian mechanics for the formulation of new conceptual frameworks because more adequate for describing a field of new phenomena such as electromagnetism; so he also went…

A History of Physics: Phenomena, Ideas and Mechanisms, 42, Springer International Publishing, pp.185-263, 2025, History of Mechanism and Machine Science, ⟨10.1007/978-3-031-26174-9_13⟩. ⟨hal-04751170⟩

• Article dans une revue

PViTGAtt-IP: Severity Quantification of Lung Infections in Chest X-rays and CT Scans via Parallel and Cross-Attended Encoders

Bouthaina Slika, Fadi Dornaika, Fares Bougourzi, Karim Hammoudi

The development of a robust and adaptive deep learning technique for the diagnosis of pneumonia and the assessment of its severity was a major challenge. Indeed, both chest X-rays (CXR) and CT scans have been widely studied for the diagnosis, detection and quantification of pneumonia. In this paper…

IEEE Transactions on Big Data, 2025, pp.1-13. ⟨10.1109/TBDATA.2025.3556612⟩. ⟨hal-05141690⟩

• Article dans une revue

On Theories. Logical Empiricism and the Methodology of Modern Physics [book review of Demopoulos]

Raffaele Pisano

Isis, 2025, 116 (3), pp.614-615. ⟨10.1086/736877⟩. ⟨hal-04956279⟩

• Pré-publication, Document de travail

RAVID: Retrieval-Augmented Visual Detection: A Knowledge-Driven Approach for AI-Generated Image Identification

Mamadou Keita, Wassim Hamidouche, Hessen Bougueffa Eutamene, Abdelmalik Taleb-Ahmed, Abdenour Hadid

In this paper, we introduce RAVID, the first framework for AI-generated image detection that leverages visual retrieval-augmented generation (RAG). While RAG methods have shown promise in mitigating factual inaccuracies in foundation models, they have primarily focused on text, leaving visual…

2025. ⟨hal-05253934⟩

• Article dans une revue

Ultrasound-actuated microfluidic flow focusing allows control of bubble size and production rate

Sarah Cleve, Tim Segers, Michel Versluis, Guillaume Lajoinie

Microfluidic flow focusing is a promising tool for the creation of monodisperse microbubbles, such as ultrasound contrast agents. However, industrial-scale bubble production remains elusive due to a lack of control over bubble size and production rate in devices with paralellized flow-focusing…

Physical Review Applied, 2025, 23 (5), pp.L051004. ⟨10.1103/PhysRevApplied.23.L051004⟩. ⟨hal-05233678⟩

• Article dans une revue

Artificial intelligence in bone metastasis analysis: Current advancements, opportunities and challenges

Marwa Afnouch, Fares Bougourzi, Olfa Gaddour, Fadi Dornaika, Abdelmalik Taleb-Ahmed

Background: Artificial Intelligence is transforming medical imaging, particularly in the analysis of bone metastases (BM), a serious complication of advanced cancers. Machine learning and deep learning techniques offer new opportunities to improve detection, recognition, and segmentation of bone…

Computers in Biology and Medicine, 2025, 194, ⟨10.1016/j.compbiomed.2025.110372⟩. ⟨hal-05148191⟩

• N°spécial de revue/special issue

IDTC Special Issue. Newton's Principia & Newtonian Mechanics: Foundations, Heritage, Methodology, Editions, Popularization and Nature of Science Teaching

Raffaele Pisano, Paolo Bussotti, Gustavo Rodriguez Rocha

Foundations of Science, 2025. ⟨hal-04983576⟩

• Article dans une revue

Using Synapse Saturation in Spiking Neural Networks for Wake Up Receivers in Internet of Things Networks

Guillaume Marthe, Claire Goursaud, Laurent Clavier

Energy consumption remains a predominant constraint in numerous Internet of Things (IoT) applications, as microcontrollers typically exhibit excessively high power consumption. To address this issue, novel circuit designs have been introduced, and the utilization of spiking neurons and analog…

IEEE Internet of Things Journal, 2025, pp.1-1. ⟨10.1109/JIOT.2025.3599668⟩. ⟨hal-05229337⟩

• Article dans une revue

Thermal Enhancement of GaN Schottky Diodes Annealed at 600°C for High Power and High Temperature RF Applications

Beatriz Orfao, Amir Al Abdallah, Hugo Bouillaud, Guillaume Ducournau, Yannick Roelens, Malek Zegaoui, Mohammed Zaknoune

In this paper, we report the investigation of the thermal enhancement and the behavior of GaN Schottky diodes grown by metal organic chemical vapor deposition (MOCVD) on sapphire substrates for RF power applications and their potential to operate under extreme temperature. The Schottky barrier…

Electronics Letters, 2025, 61 (1), pp.e70307. ⟨10.1049/ell2.70307⟩. ⟨hal-05149241⟩