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Daniele D. Caviglia
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2020 – today
- 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) - [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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last updated on 2024-07-17 20:33 CEST by the dblp team
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