5   Artículos

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en línea
Andrea Ballo, Alfio Dario Grasso and Salvatore Pennisi    
This work presents a two-stage operational transconductance amplifier suitable for sub-1 V operation. This characteristic is achieved thanks to the adoption of a bulk-driven non-tailed differential pair. Local positive feedback is exploited to boost the ... ver más
Revista: Journal of Low Power Electronics and Applications    Formato: Electrónico

 
en línea
Andrea Ballo, Salvatore Pennisi, Giuseppe Scotti and Chiara Venezia    
A current-controlled CMOS ring oscillator topology, which exploits the bulk voltages of the inverter stages as control terminals to tune the oscillation frequency, is proposed and analyzed. The solution can be adopted in sub-1 V applications, as it explo... ver más
Revista: Journal of Low Power Electronics and Applications    Formato: Electrónico

 
en línea
Alessandra Colombelli, Shiva Loccisano, Andrea Panelli, Orazio Antonino Maria Pennisi and Francesco Serraino    
The aim of this paper is to investigate the implications of Challenge-Based Learning programs on entrepreneurial skills, and on the mindset and intentions of university students, through a quantitative approach. Resorting to an original database, we anal... ver más
Revista: Administrative Sciences    Formato: Electrónico

 
en línea
Andrea Ballo, Salvatore Pennisi and Giuseppe Scotti    
A two-stage CMOS transconductance amplifier based on the inverter topology, suitable for very low supply voltages and exhibiting rail-to-rail output capability is presented. The solution consists of the cascade of a noninverting and an inverting stage, b... ver más
Revista: Journal of Low Power Electronics and Applications    Formato: Electrónico

 
en línea
Francesco Martino, Domenico D. Bloisi, Andrea Pennisi, Mulham Fawakherji, Gennaro Ilardi, Daniela Russo, Daniele Nardi, Stefania Staibano and Francesco Merolla    
Oral squamous cell carcinoma is the most common oral cancer. In this paper, we present a performance analysis of four different deep learning-based pixel-wise methods for lesion segmentation on oral carcinoma images. Two diverse image datasets, one for t... ver más
Revista: Applied Sciences    Formato: Electrónico

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