Salvatore Serrano
Salvatore Serrano
Ricercatore ING-INF/03, Universitą di Messina
Verified email at unime.it
Title
Cited by
Cited by
Year
Performance evaluation and comparison of G. 729/AMR/fuzzy voice activity detectors
F Beritelli, S Casale, G Ruggeri, S Serrano
IEEE Signal processing letters 9 (3), 85-88, 2002
1212002
Biometric identification based on frequency analysis of cardiac sounds
F Beritelli, S Serrano
IEEE Transactions on Information Forensics and Security 2 (3), 596-604, 2007
1202007
Speech emotion classification using machine learning algorithms
S Casale, A Russo, G Scebba, S Serrano
2008 IEEE international conference on semantic computing, 158-165, 2008
1132008
Multistyle classification of speech under stress using feature subset selection based on genetic algorithms
S Casale, A Russo, S Serrano
Speech Communication 49 (10-11), 801-810, 2007
622007
Data gathering techniques for wireless sensor networks: A comparison
G Campobello, A Segreto, S Serrano
International Journal of Distributed Sensor Networks 12 (3), 4156358, 2016
392016
An automatic emergency signal recognition system for the hearing impaired
F Beritelli, S Casale, A Russo, S Serrano
2006 IEEE 12th Digital Signal Processing Workshop & 4th IEEE Signal …, 2006
352006
Comparison of local lossless compression algorithms for wireless sensor networks
G Campobello, O Giordano, A Segreto, S Serrano
Journal of Network and Computer Applications 47, 23-31, 2015
292015
A low‐complexity speech‐pause detection algorithm for communication in noisy environments
F Beritelli, S Casale, S Serrano
European Transactions on Telecommunications 15 (1), 33-38, 2004
232004
Adaptive V/UV speech detection based on acoustic noise estimation and classification
F Beritelli, S Casale, S Serrano
Electronics Letters 43 (4), 249-251, 2007
222007
Trade-offs between energy saving and reliability in low duty cycle wireless sensor networks using a packet splitting forwarding technique
G Campobello, S Serrano, A Leonardi, S Palazzo
EURASIP Journal on Wireless Communications and Networking 2010, 1-11, 2010
202010
Applying the Chinese remainder theorem to data aggregation in wireless sensor networks
G Campobello, S Serrano, L Galluccio, S Palazzo
IEEE communications letters 17 (5), 1000-1003, 2013
192013
A novel low-complex and low-memory method for accurate single-tone frequency estimation
G Campobello, G Cannatį, N Donato, A Famulari, S Serrano
2010 4th International Symposium on Communications, Control and Signal …, 2010
182010
A new approach for investigating intracranial pressure signal: filtering and morphological features extraction from continuous recording
A Calisto, M Galeano, S Serrano, A Calisto, B Azzerboni
IEEE Transactions on Biomedical Engineering 60 (3), 830-837, 2012
152012
RAKE: A simple and efficient lossless compression algorithm for the internet of things
G Campobello, A Segreto, S Zanafi, S Serrano
2017 25th European Signal Processing Conference (EUSIPCO), 2581-2585, 2017
142017
Speech emotion recognition using MFCCs extracted from a mobile terminal based on ETSI front end
D Ettorre, S Serrano, A Russo, S Casale, F Beritelli
2006 8th international Conference on Signal Processing 2, 2006
142006
Analysis of robustness of attributes selection applied to speech emotion recognition
S Casale, A Russo, S Serrano
2010 18th European signal processing conference, 1174-1178, 2010
132010
Implementation of a low cost SDR-based Spectrum Sensing Prototype using USRP and Raspberry Pi board
SE Barrak, A Lyhyaoui, A Puliafito, S Serrano
Int. Conf. Autom. Control Eng. Comput. Sci.(ACECS) 20, 54-58, 2017
82017
A genetic algorithm feature selection approach to robust classification between" positive" and" negative" emotional states in speakers
F Beritelli, S Casale, A Russo, S Serrano
Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems …, 2005
82005
An efficient lossless compression algorithm for electrocardiogram signals
G Campobello, A Segreto, S Zanafi, S Serrano
2018 26th European Signal Processing Conference (EUSIPCO), 777-781, 2018
72018
A preliminary study for investigating idiopatic normal pressure hydrocephalus by means of statistical parameters classification of intracranial pressure recordings
A Calisto, A Bramanti, M Galeano, F Angileri, G Campobello, S Serrano, ...
2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009
72009
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Articles 1–20