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ORCIDDaniele D. Caviglia
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2020 – today
- 2024
[j26]Christian Gianoglio
, Sara Zani, Matteo Colli, Daniele D. Caviglia:
Rainfall Classification in Genoa: Machine Learning Versus Adaptive Statistical Models Using Satellite Microwave Links. IEEE Access 12: 132744-132753 (2024)- [j25]Reza Shokri, Yarallah Koolivand, Omid Shoaei, Daniele D. Caviglia, Orazio Aiello:
A Reconfigurable, Nonlinear, Low-Power, VCO-Based ADC for Neural Recording Applications. Sensors 24(19): 6161 (2024) - [j24]Christian Gianoglio, Ali Rizik, Emanuele Tavanti, Daniele D. Caviglia, Andrea Randazzo:
On the Edge Recurrent Neural Network Approach for Ground Moving FMCW Radar Target Classification. IEEE Trans. Consumer Electron. 70(1): 522-534 (2024) - [c41]Assil Chawraba, Andrea Randazzo, Daniele D. Caviglia:
Noncontact Measurement of Sea Wave Dynamics and Velocity Estimation with a Low-Cost FMCW Radar Sensor. ICSPIS 2024: 1-4 - [c40]Duy-Hieu Bui, Duc-Manh Tran, Daniele D. Caviglia, Orazio Aiello:
Fully Synthesizable Dynamic Voltage Comparator across technology nodes and scaled supply voltages. ISCAS 2024: 1-5 - [c39]Ali Namdari, Orazio Aiello, Daniele D. Caviglia:
0.5V 32nW Inverter-Based Gm-C Filter for Bio-Signal Processing. ISCAS 2024: 1-5 - [c38]Zahraa Alzein, Marco Crocco, Daniele D. Caviglia:
Computationally Efficient RF Band and Base band Beam-former for Coherent Plane Wave Imaging. PRIME 2024: 1-4 - [c37]Reza Shokri, Daniele D. Caviglia, Orazio Aiello:
Highly Linear, Digital OTA With Modified Input Stage. PRIME 2024: 1-4 - 2023
- [j23]Junaid Qadir, Ismail Butun, Paolo Gastaldo, Orazio Aiello, Daniele D. Caviglia:
Mitigating Cyber Attacks in LoRaWAN via Lightweight Secure Key Management Scheme. IEEE Access 11: 68301-68315 (2023) - [j22]Christian Gianoglio, Matteo Colli, Sara Zani, Daniele D. Caviglia:
An Online Training Procedure for Rain Detection Models Applied to Satellite Microwave Links. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j21]Christian Gianoglio, Ayham Alyosef, Matteo Colli, Sara Zani, Daniele D. Caviglia:
Rain Discrimination with Machine Learning Classifiers for Opportunistic Rain Detection System Using Satellite Micro-Wave Links. Sensors 23(3): 1202 (2023) - [j20]Corrado Boragno, Orazio Aiello, Daniele D. Caviglia:
Monitoring the Air Quality in an HVAC System via an Energy Harvesting Device. Sensors 23(14): 6381 (2023) - [c36]Rawad Hamdan, Ayham Alyosef, Orazio Aiello, Daniele D. Caviglia:
Improving Energy Harvesting Performance of the PVDF Films by adding Nano ZnO. ACTEA 2023: 201-204 - [c35]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, Riccardo Berta:
Alessandro De Gloria, a Pioneer in Electronic Engineering Applications. ApplePies 2023: 3-11 - [c34]Assil Chawraba, Ali Rizik, Andrea Randazzo, Daniele D. Caviglia:
Real-Time Sea Monitoring Using FMCW Radar. ApplePies 2023: 468-473 - [c33]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, Sara Zani, Christian Gianoglio, Daniele D. Caviglia, Elisa Adirosi:
Opportunistic Rainfall Sensing: State of the Art and Perspectives in Italy. ICASSP Workshops 2023: 1-5 - [c32]Reza Shokri, Yarallah Koolivand, Omid Shoaei, Orazio Aiello, Daniele D. Caviglia:
Multipolar Stimulator for DBS Application with Concurrent Imbalance Compensation. ICECS 2023: 1-4 - 2022
- [j19]Ali Walid Daher, Enrico Ferrari, Marco Muselli, Hussein Chible, Daniele D. Caviglia:
VAMPIRE: vectorized automated ML pre-processing and post-processing framework for edge applications. Computing 104(11): 2453-2487 (2022) - [j18]Ali Mohamed, Franz Wang, Ismail Butun, Junaid Qadir, Robert Lagerström, Paolo Gastaldo, Daniele D. Caviglia:
Enhancing Cyber Security of LoRaWAN Gateways under Adversarial Attacks. Sensors 22(9): 3498 (2022) - [j17]Emanuele Tavanti, Ali Rizik, Alessandro Fedeli, Daniele D. Caviglia, Andrea Randazzo:
A Short-Range FMCW Radar-Based Approach for Multi-Target Human-Vehicle Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [c31]Junaid Qadir, Ismail Butun, Paolo Gastaldo, Daniele D. Caviglia:
Review of Security Vulnerabilities in LoRaWAN. ApplePies 2022: 248-254 - 2021
- [j16]Gian Luigi Gragnani, Matteo Colli, Emanuele Tavanti, Daniele D. Caviglia:
Advanced Real-Time Monitoring of Rainfall Using Commercial Satellite Broadcasting Service: A Case Study. Sensors 21(3): 691 (2021) - [j15]Ali Walid Daher, Ali Rizik, Marco Muselli, Hussein Chible, Daniele D. Caviglia:
Porting Rulex Software to the Raspberry Pi for Machine Learning Applications on the Edge. Sensors 21(19): 6526 (2021) - 2020
- [j14]Matteo Colli, Federico Cassola, Federica Martina, Elisabetta Trovatore, Alessandro Delucchi, Stefano Maggiolo, Daniele D. Caviglia:
Rainfall Fields Monitoring Based on Satellite Microwave Down-Links and Traditional Techniques in the City of Genoa. IEEE Trans. Geosci. Remote. Sens. 58(9): 6266-6280 (2020) - [c30]Ali Walid Daher, Ali Rizik, Marco Muselli, Hussein Chible, Daniele D. Caviglia:
Porting Rulex Machine Learning Software to the Raspberry Pi as an Edge Computing Device. ApplePies 2020: 273-279 - [c29]Ali Rizik, Emanuele Tavanti, Roberto Vio, Alessandro Delucchi, Hussein Chible, Andrea Randazzo, Daniele D. Caviglia:
Single Target Recognition Using a Low-Cost FMCW Radar Based on Spectrum Analysis. ICECS 2020: 1-4 - [c28]Ali Rizik, Andrea Randazzo, Roberto Vio, Alessandro Delucchi, Hussein Chible, Daniele D. Caviglia:
Low-Cost FMCW Radar Human-Vehicle Classification Based on Transfer Learning. ICM 2020: 1-4
2010 – 2019
- 2019
- [j13]Gian Luigi Gragnani, Daniele D. Caviglia, Claudio Montecucco:
Design of Printed log-Periodic Antennas for Long Range Communication within a Wireless Sensor Network for Sea Water Quality Monitoring. Autom. Control. Comput. Sci. 53(4): 364-375 (2019) - [j12]Matteo Colli, Mattia Stagnaro, Andrea Caridi, Luca G. Lanza, Andrea Randazzo, Matteo Pastorino, Daniele D. Caviglia, Alessandro Delucchi:
A Field Assessment of a Rain Estimation System Based on Satellite-to-Earth Microwave Links. IEEE Trans. Geosci. Remote. Sens. 57(5): 2864-2875 (2019) - [c27]Ali Rizik, Andrea Randazzo, Roberto Vio, Alessandro Delucchi, Hussein Chible, Daniele D. Caviglia:
Feature Extraction for Human-Vehicle Classification in FMCW Radar. ICECS 2019: 131-132 - [c26]Mohammad Haidar, Hussein Chible, Daniele D. Caviglia:
Noisy Reading Correction in Low Power MPPT using Kalman Filter. ICECS 2019: 133-134 - [c25]Mohammad Haidar, Hussein Chible, Remy Morasso, Daniele D. Caviglia:
AC/DC Buck Boost Converter for Wind-Powered Wireless Sensors. PRIME 2019: 41-44 - 2018
- [j11]Zeinab Hijazi, Marco Grassi, Daniele D. Caviglia, Maurizio Valle:
Time-based calibration-less read-out circuit for interfacing wide range MOX gas sensors. Integr. 63: 232-239 (2018) - [j10]Gregorio Boccalero, Corrado Boragno, Remy Morasso, Daniele D. Caviglia:
Efficiency Issues for a Wind-Driven Energy Harvesting Device. J. Low Power Electron. 14(1): 140-147 (2018) - [c24]Matteo Colli, Mattia Stagnaro, Andrea Caridi, Luca G. Lanza, Andrea Randazzo, Matteo Pastorino, Daniele D. Caviglia, Alessandro Delucchi:
A Field Experiment of Rainfall Intensity Estimation Based on the Analysis of Satellite-to-Earth Microwave Link Attenuation. ApplePies 2018: 137-144 - 2017
- [c23]Gregorio Boccalero, Corrado Boragno, Remy Morasso, Daniele D. Caviglia:
A Sensor Node Driven by Air Flow. NGCAS 2017: 21-24 - [c22]Zeinab Hijazi, Marco Grassi, Daniele D. Caviglia, Maurizio Valle:
153dB Dynamic Range Calibration-Less Gas Sensor Interface Circuit with Quasi-Digital Output. NGCAS 2017: 109-112 - 2016
- [j9]Gregorio Boccalero, Corrado Boragno, Daniele D. Caviglia, Remy Morasso:
FLEHAP: A Wind Powered Supply for Autonomous Sensor Nodes. J. Sens. Actuator Networks 5(4): 15 (2016) - [c21]Arun Kumar Sinha, Rafael L. Radin, Daniele D. Caviglia, Carlos Galup-Montoro, Márcio C. Schneider:
An energy harvesting chip designed to extract maximum power from a TEG. LASCAS 2016: 367-370 - 2014
- [c20]Stefano Caviglia, Paolo Gastaldo, Rodolfo Zunino, Daniele D. Caviglia:
A high-linearity design for rail-to-rail fully differential current conveyors. ICECS 2014: 550-553 - 2010
- [j8]Angelo Brambilla, Giambattista Gruosso, Massimo Redaelli, Giancarlo Storti Gajani, Daniele D. Caviglia:
Improved Small-Signal Analysis for Circuits Working in Periodic Steady State. IEEE Trans. Circuits Syst. I Regul. Pap. 57-I(2): 427-437 (2010)
2000 – 2009
- 2006
- [c19]Sergio Gagliolo, Giacomo Pruzzo, Daniele D. Caviglia:
Differential Cross-Coupled CMOS VCOs with Resistive and Inductive Tail Biasing. ICECS 2006: 335-338 - 2005
- [j7]Giovanna Morgavi, Mauro Morando, Grazia Biorci, Daniele D. Caviglia:
Growing up: emerging complexity in living being. Cybern. Syst. 36(4): 379-395 (2005) - [c18]Sergio Gagliolo, Giacomo Pruzzo, Daniele D. Caviglia:
Phase noise performances of a cross-coupled CMOS VCO with resistor tail biasing. SBCCI 2005: 149-153 - 2002
- [j6]Gian Marco Bo, Daniele D. Caviglia, Maurizio Valle:
A Self-Learning Analog Neural Processor. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 85-A(9): 2149-2158 (2002) - 2001
- [c17]Daniele D. Caviglia, M. Tosato, M. Mazzucco, Gian Marco Bo, Maurizio Valle:
Analog CMOS implementation of feature detection operators for automatic real-time optical character recognition systems. ICECS 2001: 1089-1093 - 2000
- [c16]Gian Marco Bo, Daniele D. Caviglia, Maurizio Valle:
An On-Chip Learning Neural Network. IJCNN (4) 2000: 66-74 - [c15]Francesco Diotalevi, Maurizio Valle, Daniele D. Caviglia:
Evaluation of Gradient Descent Learning Algorithms with an Adaptive Local Rate Technique for Hierarchical Feed Forward Architectures. IJCNN (2) 2000: 185-190 - [c14]Francesco Diotalevi, Maurizio Valle, Gian Marco Bo, Daniele D. Caviglia:
A VLSI Architecture for Weight Perturbation on Chip Learning Implementation. IJCNN (4) 2000: 219-226 - [c13]Francesco Diotalevi, Maurizio Valle, Gian Marco Bo, Ezio Biglieri, Daniele D. Caviglia:
An analog on-chip learning circuit architecture of the weight perturbation algorithm. ISCAS 2000: 419-422 - [c12]Francesco Diotalevi, Maurizio Valle, Gian Marco Bo, Enrico Biglieri, Daniele D. Caviglia:
Analog CMOS current mode neural primitives. ISCAS 2000: 717-720
1990 – 1999
- 1999
- [c11]Francesco Diotalevi, Gian Marco Bo, Daniele D. Caviglia, Maurizio Valle:
Evaluation and Validation of Local and Adaptive Weight Perturbation Learning Algorithms for Optical Characters Recognition Applications. IIA/SOCO 1999 - [c10]Daniela Baratta, Francesco Diotalevi, Maurizio Valle, Daniele D. Caviglia:
Gradient Descent Learning Algorithm for Hierarchical Neural Networks: A Case Study in Industrial Quality. IWANN (2) 1999: 578-587 - 1998
- [j5]Gian Marco Bo, Daniele D. Caviglia, Maurizio Valle, R. Stratta, Emanuele Trucco:
A reconfigurable analog VLSI neural network architecture with non-linear synapses. Int. J. Circuit Theory Appl. 26(3): 307-315 (1998) - [j4]Gian Marco Bo, Daniele D. Caviglia, Maurizio Valle:
An analog VLSI implementation of a feature extractor for real time optical character recognition. IEEE J. Solid State Circuits 33(4): 556-564 (1998) - 1997
- [c9]Daniela Baratta, Gian Marco Bo, Daniele D. Caviglia, Maurizio Valle, Giovanni Canepa, Riccardo Parenti, Carla Penno:
A Hardware Implementation of Hierarchical Neural Networks for Real-Time Quality Contol Systems in Industrial Applications. ICANN 1997: 1229-1234 - 1996
- [j3]Maurizio Valle, Luigi Raffo, Daniele D. Caviglia, Giacomo M. Bisio:
A VLSI Image Processing Architecture Dedicated to Real-Time Quality Control Analysis in an Industrial Plant. Real Time Imaging 2(6): 361-371 (1996) - 1995
- [c8]Maurizio Valle, Giovanni Nateri, Daniele D. Caviglia, Giacomo M. Bisio, Luciano Briozzo:
An ASIC design for real-time image processing in industrial applications. ED&TC 1995: 385-390 - 1994
- [c7]Maurizio Valle, Daniele D. Caviglia, Marco Cornero, Giovanni Nateri, Luciano Briozzo:
A VHDL-based design methodology: the design experience of a high performance ASIC chip. EURO-DAC 1994: 664-669 - 1993
- [c6]Giacomo M. Bisio, Daniele D. Caviglia, Giacomo Indiveri, Luigi Raffo, Silvio P. Sabatini:
A neural network architectural model of visual cortical cells for texture segregation. ICNN 1993: 755-760 - 1992
- [c5]Francesco Curatelli, Daniele D. Caviglia, Marco Chirico, Giacomo M. Bisio:
Optimization strategies in symbolic compaction. Synthesis for Control Dominated Circuits 1992: 311-322 - 1991
- [j2]Raffaele Costa, Francesco Curatelli, Daniele D. Caviglia, Giacomo M. Bisio:
Symbolic generation of constrained random logic cells. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 10(2): 220-231 (1991) - [c4]Daniele D. Caviglia, Maurizio Valle, Giacomo M. Bisio:
A VLSI Module for Analog Adaptive Neural Architectures. VLSI 1991: 177-186 - 1990
- [c3]Daniele D. Caviglia, Giacomo M. Bisio, Francesco Curatelli, L. Giovannacci, Luigi Raffo:
Pre-placement of VLSI blocks through learning neural networks. EURO-DAC 1990: 650-654 - [c2]Daniele D. Caviglia, Maurizio Valle, Giacomo M. Bisio:
Effects of weight discretization on the back propagation learning method: algorithm design and hardware realization. IJCNN 1990: 631-637
1980 – 1989
- 1989
- [c1]Ermanno Di Zitti, Daniele D. Caviglia, Giacomo M. Bisio, Giancarlo Parodi:
Neural networks on a transputer array. ICASSP 1989: 2513-2516 - 1987
- [j1]Daniele D. Caviglia, Vincenzo Piuri, Mauro Santomauro:
About folded-PLA area and folding evaluation. Integr. 5(3-4): 193-215 (1987)
Coauthor Index
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