Aimé Lay-Ekuakille

12PUBLICATIONS
29CO-AUTHORS
Formal methods for softwareAdversarial machine learningNeural networksDeep learningResidential client care
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Publications (12)

|Sep 19, 2025
From IOTA Tangle 2.0 to Rebased: A Comparative Analysis of Decentralization, Scalability, and Suitability for IoT Applications.

Pierre Sedi Nzakuna, Vincenzo Paciello, Aimé Lay-Ekuakille

|Dec 23, 2023
Editorial Topical Collection: "Explainable and Augmented Machine Learning for Biosignals and Biomedical Images".

Cosimo Ieracitano, Mufti Mahmud, Maryam Doborjeh

|Nov 14, 2023
A Novel Prognostic Model Using Chaotic CNN with Hybridized Spoofing for Enhancing Diagnostic Accuracy in Epileptic Seizure Prediction.

Preethi Palanisamy, Shabana Urooj, Rajesh Arunachalam

|Jan 21, 2023
A Deep Learning-Based Framework for Retinal Disease Classification.

Amit Choudhary, Savita Ahlawat, Shabana Urooj

|Jul 05, 2022
Infrared Monitoring of Oxygenation Process Generated by Robotic Verticalization in Bedridden People.

Aime Lay-Ekuakille, Cosimo Chiffi, Antonio Celesti

|Apr 23, 2022
An Affordable Streamflow Measurement Technique Based on Delay and Sum Beamforming.

Giuseppe Passarella, Aimé Lay-Ekuakille, John Peter Djungha Okitadiowo

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