About folded-PLA area and folding evaluation. - Daniele D. Caviglia; Vincenzo Piuri; Mauro Santomauro (Integr., 1987)

Neural networks on a transputer array. - Ermanno Di Zitti; Daniele D. Caviglia; Giacomo M. Bisio; Giancarlo Parodi (ICASSP, 1989)

Pre-placement of VLSI blocks through learning neural networks. - Daniele D. Caviglia; Giacomo M. Bisio; Francesco Curatelli; L. Giovannacci; Luigi Raffo (EURO-DAC, 1990)

Effects of weight discretization on the back propagation learning method: algorithm design and hardware realization. - Daniele D. Caviglia; Maurizio Valle; Giacomo M. Bisio (IJCNN, 1990)

A VLSI Module for Analog Adaptive Neural Architectures. - Daniele D. Caviglia; Maurizio Valle; Giacomo M. Bisio (VLSI, 1991)

Symbolic generation of constrained random logic cells. - Raffaele Costa; Francesco Curatelli; Daniele D. Caviglia; Giacomo M. Bisio (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1991)

Optimization strategies in symbolic compaction. - Francesco Curatelli; Daniele D. Caviglia; Marco Chirico; Giacomo M. Bisio (Synthesis for Control Dominated Circuits, 1992)

A neural network architectural model of visual cortical cells for texture segregation. - Giacomo M. Bisio; Daniele D. Caviglia; Giacomo Indiveri; Luigi Raffo; Silvio P. Sabatini (ICNN, 1993)

A VHDL-based design methodology: the design experience of a high performance ASIC chip. - Maurizio Valle; Daniele D. Caviglia; Marco Cornero; Giovanni Nateri; Luciano Briozzo (EURO-DAC, 1994)

An ASIC design for real-time image processing in industrial applications. - Maurizio Valle; Giovanni Nateri; Daniele D. Caviglia; Giacomo M. Bisio; Luciano Briozzo (ED&TC, 1995)

A VLSI Image Processing Architecture Dedicated to Real-Time Quality Control Analysis in an Industrial Plant. - Maurizio Valle; Luigi Raffo; Daniele D. Caviglia; Giacomo M. Bisio (Real Time Imaging, 1996)

A Hardware Implementation of Hierarchical Neural Networks for Real-Time Quality Contol Systems in Industrial Applications. - Daniela Baratta; Gian Marco Bo; Daniele D. Caviglia; Maurizio Valle; Giovanni Canepa; Riccardo Parenti; Carla Penno (ICANN, 1997)

A reconfigurable analog VLSI neural network architecture with non-linear synapses. - Gian Marco Bo; Daniele D. Caviglia; Maurizio Valle; R. Stratta; Emanuele Trucco (Int. J. Circuit Theory Appl., 1998)

An analog VLSI implementation of a feature extractor for real time optical character recognition. - Gian Marco Bo; Daniele D. Caviglia; Maurizio Valle (IEEE J. Solid State Circuits, 1998)

Evaluation and Validation of Local and Adaptive Weight Perturbation Learning Algorithms for Optical Characters Recognition Applications. - Francesco Diotalevi; Gian Marco Bo; Daniele D. Caviglia; Maurizio Valle (IIA/SOCO, 1999)

Gradient Descent Learning Algorithm for Hierarchical Neural Networks: A Case Study in Industrial Quality. - Daniela Baratta; Francesco Diotalevi; Maurizio Valle; Daniele D. Caviglia (IWANN (2), 1999)

An On-Chip Learning Neural Network. - Gian Marco Bo; Daniele D. Caviglia; Maurizio Valle (IJCNN (4), 2000)

A VLSI Architecture for Weight Perturbation on Chip Learning Implementation. - Francesco Diotalevi; Maurizio Valle; Gian Marco Bo; Daniele D. Caviglia (IJCNN (4), 2000)

Evaluation of Gradient Descent Learning Algorithms with an Adaptive Local Rate Technique for Hierarchical Feed Forward Architectures. - Francesco Diotalevi; Maurizio Valle; Daniele D. Caviglia (IJCNN (2), 2000)

An analog on-chip learning circuit architecture of the weight perturbation algorithm. - Francesco Diotalevi; Maurizio Valle; Gian Marco Bo; Ezio Biglieri; Daniele D. Caviglia (ISCAS, 2000)

Analog CMOS current mode neural primitives. - Francesco Diotalevi; Maurizio Valle; Gian Marco Bo; Enrico Biglieri; Daniele D. Caviglia (ISCAS, 2000)

Analog CMOS implementation of feature detection operators for automatic real-time optical character recognition systems. - Daniele D. Caviglia; M. Tosato; M. Mazzucco; Gian Marco Bo; Maurizio Valle (ICECS, 2001)

A Self-Learning Analog Neural Processor. - Gian Marco Bo; Daniele D. Caviglia; Maurizio Valle (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2002)

Phase noise performances of a cross-coupled CMOS VCO with resistor tail biasing. - Sergio Gagliolo; Giacomo Pruzzo; Daniele D. Caviglia (SBCCI, 2005)

Growing up: emerging complexity in living being. - Giovanna Morgavi; Mauro Morando; Grazia Biorci; Daniele D. Caviglia (Cybern. Syst., 2005)

Differential Cross-Coupled CMOS VCOs with Resistive and Inductive Tail Biasing. - Sergio Gagliolo; Giacomo Pruzzo; Daniele D. Caviglia (ICECS, 2006)

Improved Small-Signal Analysis for Circuits Working in Periodic Steady State. - Angelo Brambilla; Giambattista Gruosso; Massimo Redaelli; Giancarlo Storti Gajani; Daniele D. Caviglia (IEEE Trans. Circuits Syst. I Regul. Pap., 2010)

A high-linearity design for rail-to-rail fully differential current conveyors. - Stefano Caviglia; Paolo Gastaldo; Rodolfo Zunino; Daniele D. Caviglia (ICECS, 2014)

An energy harvesting chip designed to extract maximum power from a TEG. - Arun Kumar Sinha; Rafael L. Radin; Daniele D. Caviglia; Carlos Galup-Montoro; Márcio C. Schneider (LASCAS, 2016)

FLEHAP: A Wind Powered Supply for Autonomous Sensor Nodes. - Gregorio Boccalero; Corrado Boragno; Daniele D. Caviglia; Remy Morasso (J. Sens. Actuator Networks, 2016)

A Sensor Node Driven by Air Flow. - Gregorio Boccalero; Corrado Boragno; Remy Morasso; Daniele D. Caviglia (NGCAS, 2017)

153dB Dynamic Range Calibration-Less Gas Sensor Interface Circuit with Quasi-Digital Output. - Zeinab Hijazi; Marco Grassi; Daniele D. Caviglia; Maurizio Valle (NGCAS, 2017)

A Field Experiment of Rainfall Intensity Estimation Based on the Analysis of Satellite-to-Earth Microwave Link Attenuation. - Matteo Colli; Mattia Stagnaro; Andrea Caridi; Luca G. Lanza; Andrea Randazzo; Matteo Pastorino; Daniele D. Caviglia; Alessandro Delucchi (ApplePies, 2018)

Time-based calibration-less read-out circuit for interfacing wide range MOX gas sensors. - Zeinab Hijazi; Marco Grassi; Daniele D. Caviglia; Maurizio Valle (Integr., 2018)

Efficiency Issues for a Wind-Driven Energy Harvesting Device. - Gregorio Boccalero; Corrado Boragno; Remy Morasso; Daniele D. Caviglia (J. Low Power Electron., 2018)

Noisy Reading Correction in Low Power MPPT using Kalman Filter. - Mohammad Haidar; Hussein Chible; Daniele D. Caviglia (ICECS, 2019)

Feature Extraction for Human-Vehicle Classification in FMCW Radar. - Ali Rizik; Andrea Randazzo; Roberto Vio; Alessandro Delucchi; Hussein Chible; Daniele D. Caviglia (ICECS, 2019)

AC/DC Buck Boost Converter for Wind-Powered Wireless Sensors. - Mohammad Haidar; Hussein Chible; Remy Morasso; Daniele D. Caviglia (PRIME, 2019)

Design of Printed log-Periodic Antennas for Long Range Communication within a Wireless Sensor Network for Sea Water Quality Monitoring. - Gian Luigi Gragnani; Daniele D. Caviglia; Claudio Montecucco (Autom. Control. Comput. Sci., 2019)

A Field Assessment of a Rain Estimation System Based on Satellite-to-Earth Microwave Links. - Matteo Colli; Mattia Stagnaro; Andrea Caridi; Luca G. Lanza; Andrea Randazzo; Matteo Pastorino; Daniele D. Caviglia; Alessandro Delucchi (IEEE Trans. Geosci. Remote. Sens., 2019)

Porting Rulex Machine Learning Software to the Raspberry Pi as an Edge Computing Device. - Ali Walid Daher; Ali Rizik; Marco Muselli; Hussein Chible; Daniele D. Caviglia (ApplePies, 2020)

Single Target Recognition Using a Low-Cost FMCW Radar Based on Spectrum Analysis. - Ali Rizik; Emanuele Tavanti; Roberto Vio; Alessandro Delucchi; Hussein Chible; Andrea Randazzo; Daniele D. Caviglia (ICECS, 2020)

Low-Cost FMCW Radar Human-Vehicle Classification Based on Transfer Learning. - Ali Rizik; Andrea Randazzo; Roberto Vio; Alessandro Delucchi; Hussein Chible; Daniele D. Caviglia (ICM, 2020)

Rainfall Fields Monitoring Based on Satellite Microwave Down-Links and Traditional Techniques in the City of Genoa. - Matteo Colli; Federico Cassola; Federica Martina; Elisabetta Trovatore; Alessandro Delucchi; Stefano Maggiolo; Daniele D. Caviglia (IEEE Trans. Geosci. Remote. Sens., 2020)

Porting Rulex Software to the Raspberry Pi for Machine Learning Applications on the Edge. - Ali Walid Daher; Ali Rizik; Marco Muselli; Hussein Chible; Daniele D. Caviglia (Sensors, 2021)

Advanced Real-Time Monitoring of Rainfall Using Commercial Satellite Broadcasting Service: A Case Study. - Gian Luigi Gragnani; Matteo Colli; Emanuele Tavanti; Daniele D. Caviglia (Sensors, 2021)

Review of Security Vulnerabilities in LoRaWAN. - Junaid Qadir 003; Ismail Butun; Paolo Gastaldo; Daniele D. Caviglia (ApplePies, 2022)

VAMPIRE: vectorized automated ML pre-processing and post-processing framework for edge applications. - Ali Walid Daher; Enrico Ferrari; Marco Muselli; Hussein Chible; Daniele D. Caviglia (Computing, 2022)

Enhancing Cyber Security of LoRaWAN Gateways under Adversarial Attacks. - Ali Mohamed; Franz Wang; Ismail Butun; Junaid Qadir 003; Robert Lagerström; Paolo Gastaldo; Daniele D. Caviglia (Sensors, 2022)

A Short-Range FMCW Radar-Based Approach for Multi-Target Human-Vehicle Detection. - Emanuele Tavanti; Ali Rizik; Alessandro Fedeli; Daniele D. Caviglia; Andrea Randazzo (IEEE Trans. Geosci. Remote. Sens., 2022)

Improving Energy Harvesting Performance of the PVDF Films by adding Nano ZnO. - Rawad Hamdan; Ayham Alyosef; Orazio Aiello; Daniele D. Caviglia (ACTEA, 2023)

Alessandro De Gloria, a Pioneer in Electronic Engineering Applications. - Francesco Bellotti; Elisa Bricco; Agostino G. Bruzzone; Daniele D. Caviglia; Ermanno Di Zitti; Paolo Gastaldo; Daniele Grosso; Lauro Magnani; Mauro Olivieri; Marco Raggio; Maurizio Valle; Alessandro Verri; et al. (ApplePies, 2023)

Real-Time Sea Monitoring Using FMCW Radar. - Assil Chawraba; Ali Rizik; Andrea Randazzo; Daniele D. Caviglia (ApplePies, 2023)

Opportunistic Rainfall Sensing: State of the Art and Perspectives in Italy. - Filippo Giannetti; Vincenzo Lottici; Fabiola Sapienza; F. Porcú; Giacomo Roversi; P. P. Alberoni; Erika Covi; R. Nebuloni; Greta Cazzaniga; Carlo De Michele; Cristina Deidda; Matteo Colli; et al. (ICASSP Workshops, 2023)

Multipolar Stimulator for DBS Application with Concurrent Imbalance Compensation. - Reza Shokri; Yarallah Koolivand; Omid Shoaei; Orazio Aiello; Daniele D. Caviglia (ICECS, 2023)

Mitigating Cyber Attacks in LoRaWAN via Lightweight Secure Key Management Scheme. - Junaid Qadir 003; Ismail Butun; Paolo Gastaldo; Orazio Aiello; Daniele D. Caviglia (IEEE Access, 2023)

An Online Training Procedure for Rain Detection Models Applied to Satellite Microwave Links. - Christian Gianoglio; Matteo Colli; Sara Zani; Daniele D. Caviglia (IEEE Geosci. Remote. Sens. Lett., 2023)

Rain Discrimination with Machine Learning Classifiers for Opportunistic Rain Detection System Using Satellite Micro-Wave Links. - Christian Gianoglio; Ayham Alyosef; Matteo Colli; Sara Zani; Daniele D. Caviglia (Sensors, 2023)

Monitoring the Air Quality in an HVAC System via an Energy Harvesting Device. - Corrado Boragno; Orazio Aiello; Daniele D. Caviglia (Sensors, 2023)

Plane-Wave Ultrasound Imaging: Implementation and Evaluation of Different Interpolation Schemes. - Zahraa Alzein; Ali Ibrahim; Alaa Wehbe; Daniele D. Caviglia (ApplePies, 2024)

Noncontact Measurement of Sea Wave Dynamics and Velocity Estimation with a Low-Cost FMCW Radar Sensor. - Assil Chawraba; Andrea Randazzo; Daniele D. Caviglia (ICSPIS, 2024)

Fully Synthesizable Dynamic Voltage Comparator across technology nodes and scaled supply voltages. - Duy-Hieu Bui; Duc-Manh Tran; Daniele D. Caviglia; Orazio Aiello (ISCAS, 2024)

0.5V 32nW Inverter-Based Gm-C Filter for Bio-Signal Processing. - Ali Namdari; Orazio Aiello; Daniele D. Caviglia (ISCAS, 2024)

Computationally Efficient RF Band and Base band Beam-former for Coherent Plane Wave Imaging. - Zahraa Alzein; Marco Crocco; Daniele D. Caviglia (PRIME, 2024)

Highly Linear, Digital OTA With Modified Input Stage. - Reza Shokri; Daniele D. Caviglia; Orazio Aiello (PRIME, 2024)

Rainfall Classification in Genoa: Machine Learning Versus Adaptive Statistical Models Using Satellite Microwave Links. - Christian Gianoglio; Sara Zani; Matteo Colli; Daniele D. Caviglia (IEEE Access, 2024)

On the Edge Recurrent Neural Network Approach for Ground Moving FMCW Radar Target Classification. - Christian Gianoglio; Ali Rizik; Emanuele Tavanti; Daniele D. Caviglia; Andrea Randazzo (IEEE Trans. Consumer Electron., 2024)

A Reconfigurable, Nonlinear, Low-Power, VCO-Based ADC for Neural Recording Applications. - Reza Shokri; Yarallah Koolivand; Omid Shoaei; Daniele D. Caviglia; Orazio Aiello (Sensors, 2024)

Genetic Algorithm-Optimized Apodization for Ultrafast Plane-Wave Compounding. - Zahraa Alzein; Daniele D. Caviglia (CBMS, 2025)

A Multi-Objective Optimization Framework for Compound Weights in Divergent Wave Ultrasound Imaging. - Zahraa Alzein; Daniele D. Caviglia (CBMS, 2025)

Live Demonstration: Sea Wave Energy Harvester for Environmental Monitoring Buoys. - Filippo Nicora; Orazio Aiello; Corrado Boragno; Daniele D. Caviglia; Alessandro Lo Schiavo (ISCAS, 2025)

A 138.39 FoMS, 2.8 nW, 65dB, Digital-Based OTA for Bio-Signal Processing Applications. - Riccardo Della Sala; Ali Namdari; Orazio Aiello; Daniele D. Caviglia; Pasquale Tommasino (NewCAS, 2025)

Sub-10nW, 73dB Gain, Inverter-Based Digital OTA with C-Muller Input Stage and Novel CMFB for Enhanced Performance in IoT Applications. - Riccardo Della Sala; Reza Shokri; Orazio Aiello; Daniele D. Caviglia; Giuseppe Scotti (NewCAS, 2025)

Compound Mask for Divergent Wave Imaging in Medical Ultrasound. - Zahraa Alzein; Marco Crocco; Daniele D. Caviglia (IEEE Access, 2025)

Multipolar Stimulator for Deep Brain Stimulation With Suppression of Stimulation-Induced Common-Mode Artifacts. - Reza Shokri; Yarallah Koolivand; Omid Shoaei; Daniele D. Caviglia; Orazio Aiello (IEEE Access, 2025)