A Privacy-Preserving Collaborative Federated Learning Framework for Detecting Retinal Diseases. - Seema Gulati; Kalpna Guleria; Nitin Goyal; Ahmad Ali AlZubi; Ángel Kuc Castilla (IEEE Access, 2024)

Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence. - Hafeez Ur Rehman Siddiqui; Ambreen Akmal; Muhammad Iqbal; Adil Ali Saleem; Muhammad Amjad Raza; Kainat Zafar; Aqsa Zaib; Sandra E. M. Dudley; Jon Arambarri; Ángel Kuc Castilla; Furqan Rustam (Sensors, 2024)

Obstacle Detection and Warning System for Visually Impaired Using IoT Sensors. - Sunnia Ikram; Imran Sarwar Bajwa; Amna Ikram; Isabel de la Torre Díez; Carlos Eduardo Uc-Rios; Ángel Kuc Castilla (IEEE Access, 2025)

An Improved Deep Learning-Based Intrusion Detection for Reliable Communication in VANET. - Preetam Suman; Sasmita Padhy; Naween Kumar; Amrit Suman; Akansha Singh; Krishna Kant Singh; Ángel Kuc Castilla; Turki Saad S. AL-Zahrani (IEEE Trans. Consumer Electron., 2025)

Innovative anti-phishing framework using machine learning approach with evolutionary optimization to secure multimedia applications. - Bhawna Sharma; Savita Khurana; Gaurav Sharma; Sunita Rani; Sudesh Kumari Nandal; Pragya Chandi; Rashi Rastogi; Ángel Kuc Castilla; Nitin Goyal (Multim. Tools Appl., 2025)