Fiber coupled erbium doped microsphere: NIR and mid-IR wavelength ranges. - Giuseppe Palma; Luisa De Palma; Tetsuji Yano; Virginie Nazabal; Tetsuo Kishi; A. Moreac; Maurizio Ferrari; Davor Ristic; Anna Lukowiak; Giancarlo Cesare Righini; Gualtiero Nunzi Conti; Francesco Prudenzano (ICTON, 2014)

Characterization of Heart Rate Estimation Using Piezoelectric Plethysmography in Time- and Frequency-domain. - Luisa De Palma; Marco Scarpetta; Maurizio Spadavecchia (MeMeA, 2020)

Low-cost capacitive sensor for oil-level monitoring in aircraft. - Luisa De Palma; Francesco Adamo; Filippo Attivissimo; Sergio De Gioia; Attilio Di Nisio; Anna Maria Lucia Lanzolla; Marco Scarpetta (I2MTC, 2022)

Robotized sorter for blood classification using RFID tags. - Vito Ivano D'Alessandro; Francesco Paciolla; Luisa De Palma; Francesco Adamo; Attilio Di Nisio; Nicola Giaquinto (MeMeA, 2022)

Development of a web-based system for interfacing a portable Bluetooth vital sign monitor. - Luisa De Palma; Filippo Attivissimo; Attilio Di Nisio; Anna Maria Lucia Lanzolla; Mattia Alessandro Ragolia; Maurizio Spadavecchia (MeMeA, 2022)

A new dataset of satellite images for deep learning-based coastline measurement. - Marco Scarpetta; Maurizio Spadavecchia; Vito Ivano D'Alessandro; Luisa De Palma; Nicola Giaquinto (MetroXRAINE, 2022)

U-Net convolutional neural network for multisource heterogeneous iris segmentation. - Vito Ivano D'Alessandro; Luisa De Palma; Filippo Attivissimo; Attilio Di Nisio; Anna Maria Lucia Lanzolla (MeMeA, 2023)

ECG wave segmentation algorithm for complete P-QRS-T detection. - Luisa De Palma; Vito Ivano D'Alessandro; Filippo Attivissimo; Attilio Di Nisio; Anna Maria Lucia Lanzolla (MeMeA, 2023)

U-Net Convolutional Neural Network for Optic Disc Segmentation. - Vito Ivano D'Alessandro; Francesco Adamo; Luisa De Palma; Daniel Lotano; Marco Scarpetta (MetroXRAINE, 2023)

Photoplethysmography Signal Wavelet Enhancement and Novel Features Selection for Non-Invasive Cuff-Less Blood Pressure Monitoring. - Filippo Attivissimo; Luisa De Palma; Attilio Di Nisio; Marco Scarpetta; Anna Maria Lucia Lanzolla (Sensors, 2023)

Non-Invasive Blood Pressure Sensing via Machine Learning. - Filippo Attivissimo; Vito Ivano D'Alessandro; Luisa De Palma; Anna Maria Lucia Lanzolla; Attilio Di Nisio (Sensors, 2023)

Development of a System for Monitoring Driver Comfort via Smartphones. - Luisa De Palma; Attilio Di Nisio; Anna Maria Lucia Lanzolla; Daniel Lotano; Alessandro Pignatelli; Mattia Alessandro Ragolia (MeMeA, 2024)

Ultrasound Haptics For XR and Rehabilitation: Influence of Arm and Hand Muscle Stiffness on User Perception. - Mattia Alessandro Ragolia; Luisa De Palma; Nicola Giaquinto; Alessandro Pignatelli; Marco Scarpetta (MetroXRAINE, 2024)

Machine Learning for Early Prediction of Cognitive Decline in Alzheimer's Disease. - Luisa De Palma; Attilio Di Nisio; Anna Maria Lucia Lanzolla; Pietro Matarrese; Emilio Merlo Pich; Filippo Attivissimo (MeMeA, 2025)

Performance comparison of machine learning algorithms for the estimation of blood pressure using photoplethysmography. - Attilio Di Nisio; Luisa De Palma; Mattia Alessandro Ragolia; Anna Maria Lucia Lanzolla; Filippo Attivissimo (Biomed. Signal Process. Control., 2025)

Analysis of Model Parameters and Experimental Setup for Accurate Characterization of Ultrasound Phased Arrays Using a Low-Cost Sensor. - Filippo Attivissimo; Francesco Adamo; Luisa De Palma; Attilio Di Nisio; Mattia Alessandro Ragolia; Anna Maria Lucia Lanzolla (IEEE Trans. Instrum. Meas., 2025)