Prof. PELUSI Danilo
Prof. PELUSI Danilo

Email: dpelusi@unite.it

Telefono: 0861-266036

Facoltà di appartenenza: SCIENZE DELLA COMUNICAZIONE


 
 
 
 

Curriculum accademico

 

Professore Associato di Informatica nella Facoltà di Scienze della Comunicazione. I suoi campi di ricerca includono la teoria dei codici e l'intelligenza artificiale. Si occupa inoltre dell'implementazione di algoritmi di signal processing e pattern recognition, di logica fuzzy, reti neurali e algoritmi genetici. Ricercatore a tempo determinato art. 24 c.3-b L. 240/10 (2016-2019) e L. 230/2005 (2009-2012) in Informatica presso l'Università di Teramo, ha svolto attività di ricerca nell'ambito dell'ottimizzazione di sistemi controllo e progetto database presso l'Osservatorio Astronomico di Collurania "V. Cerulli" di Teramo. Co-editore di volumi Springer ed Elsevier, Associate Editor delle riviste IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access, Array (Elsevier), International Journal of Machine Learning and Cybernetics (Springer), è membro del Machine Intelligence Research Labs (MIR Labs). Keynote speaker in varie conferenze e Guest Editor di Special Issue di riviste Elsevier, Springer e Inderscience, è membro del comitato editoriale di varie riviste internazionali e del comitato scientifico di conferenze internazionali. Reviewer di riviste tra le quali IEEE Transactions on Fuzzy Systems e di conferenze come IEEE Congress on Evolutionary Computation, membro del Collegio del Dottorato in Economic and Social Sciences (Università di Teramo), è dottore di ricerca in Astrofisica Computazionale. Ha conseguito la laurea in Fisica presso l'Università di Bologna.

 

 

 

Curriculum english version

 

Associate professor of computer science at the Faculty of Communication Sciences, his research is on coding theory and artificial intelligence. Moreover, he is interested in signal processing, patterns recognition, fuzzy logic, neural networks and genetic algorithms. Assistant Professor in Computer Science from 2009 to 2012 at the University of Teramo, he has developed research activity on control systems optimization and database design at the Astronomic Observatory Collurania "V. Cerulli" of Teramo. Co-editor of books in Springer and Elsevier, Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access, Array (Elsevier), International Journal of Machine Learning and Cybernetics (Springer), he is a member of the Machine Intelligence Research Labs (MIR Labs). Keynote speaker at several conferences and Guest Editor for Elsevier, Springer and Inderscience , he is editorial board member of international journals and Technical Program Committee member of international conferences. Reviewer of reputed journals such as IEEE Transactions on Fuzzy Systems and conferences such as IEEE Congress on Evolutionary Computation, member of the PhD board in Epistemology of Informatics and Social Changes (University of Teramo), PhD in Computational Astrophysics, he obtained the degree in Physics from the University of Bologna.

 

 

 

Pubblicazioni

 

 

 

  • Li, Y., Pelusi, D. & Deng, Y. Generate two-dimensional belief function based on an improved similarity measure of trapezoidal fuzzy numbers. Comp. Appl. Math. 39, 326 (2020). https://doi.org/10.1007/s40314-020-01371-9
  • Praveen Kumar Malik, Rohit Sharma, Rajesh Singh, Anita Gehlot, Suresh Chandra Satapathy, Waleed S. Alnumay, Danilo Pelusi, Uttam Ghosh, Janmenjoy Nayak, Industrial Internet of Things and its applications in industry 4.0: State of the art, Computer Communications, 2020, https://doi.org/10.1016/j.comcom.2020.11.016.
  • D. Pelusi, R. Mascella and L. Tallini, "A fitness dependent salp swarm algorithm," 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, United Kingdom, 2020, pp. 1-6, doi: 10.1109/CEC48606.2020.9185594.
  • Janmenjoy Nayak, Kanithi Vakula, Paidi Dinesh, Bighnaraj Naik, Danilo Pelusi, "Intelligent food processing: Journey from artificial neural network to deep learning", Computer Science Review, Volume 38, November 2020.
  • W. Ding, J. NAYAK, B. Naik, D. Pelusi and M. Mishra, "Fuzzy and Real Coded Chemical Reaction Optimization for Intrusion Detection in Industrial Big Data Environment," in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2020.3007419.
  • Ghazaala Yasmin, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, Weiping Ding, Graph based Feature Selection Investigating Boundary Region of Rough Set for Language Identification, Expert Systems with Applications, DOI:10.1016/j.eswa.2020.113575, pp.113575, 2020.
  • Nayak, J., Chandrasekhar, G.T., Naik, B., Danilo Pelusi and A. Abraham, Special issue on "Soft computing techniques: applications and challenges" neural computing and applications. Neural Comput & Applic (2020). https://doi.org/10.1007/s00521-020-04902-x.
  • Tao Wen, Danilo Pelusi, Yong Deng, Vital spreaders identification in complex networks with multi-local dimension, Knowledge-Based Systems, DOI:10.1016/j.knosys.2020.105717, 2020.
  • Shengzhong Mao, Yong Deng, Danilo Pelusi, Alternatives selection for produced water management: A network-based methodology, Engineering Applications of Artificial Intelligence Volume 91, May 2020.
  • Shengzhong Mao, Yuzhen Han, Yong Deng, Danilo Pelusi, A hybrid DEMATEL-FRACTAL method of handling dependent evidences, Engineering Applications of Artificial Intelligence, Volume 91, May 2020.
  • Balakrishnan Nagaraj, Danilo Pelusi, Editorial, International Journal of Biometrics, Volume 12, Issue 1, 2020, Pages 1-2

  • Renu Sharma, Manohar Mishra, Janmenjoy Nayak, Bighnaraj Nayak, Danilo Pelusi, Innovation in Electrical Power Engineering, Communication, and Computing Technology - Proceedings of IEPCCT 2019, Lecture Notes in Electrical Engineering, Springer, Vol. 630, 2020.
  • Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, Soumi Dutta, Danilo Pelusi, Computational Intelligence in Pattern Recognition - Proceedings of CIPR 2020, Advances in Intelligent Systems and Computing, vol. 1120, Springer, 2020
  • B.Naik, M. Obaidat, J. Nayak, D. Pelusi, P. Vijayakumar, Sk Hafizul Islam, "Intelligent Secure Ecosystem based on Meta-heuristic and Functional Link Neural Network for Edge-of-Things'', IEEE Transactions on Industrial Informatics, Vol 16(3), 1947-1956, 2020.
  • Nayak J., Naik B., Pelusi D., Krishna A.V. (2020) A Comprehensive Review and Performance Analysis of Firefly Algorithm for Artificial Neural Networks. In: Yang XS., He XS. (eds) Nature-Inspired Computation in Data Mining and Machine Learning. Studies in Computational Intelligence, vol 855. Springer, Cham
  • Behera, H.S, Nayak, J., Naik, B., Pelusi, D., Preface, Advances in Intelligent Systems and Computing, Volume 990, 2020, Page xv.
  • Renu Sharma, Manohar Mishra, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi (2020), Innovation in Electrical Power Engineering, Communication, and Computing Technology: Proceedings of IEPCCT 2019, Lecture Notes in Electrical Engineering, Springer, Vol. 630.
  • Danilo Pelusi, Raffaele Mascella, Luca Tallini, Janmenjoy Nayak, Bighnaraj Naik, Yong Deng, Improving exploration and exploitation via a Hyperbolic Gravitational Search Algorithm, Knowledge-Based Systems (2019), DOI: 10.1016/j.knosys.2019.105404
  • Danilo Pelusi, Raffaele Mascella, Luca Tallini, Janmenjoy Nayak, Bighnaraj Naik, Yong Deng. An Improved Moth-Flame Optimization algorithm with hybrid search phase, Knowledge-Based Systems, 2019, DOI: 10.1016/j.knosys.2019.105277
  • Priyanka Das, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, Weiping Ding. Group Incremental Adaptive Clustering based on Neural Network and Rough Set Theory for Crime Report Categorization, Nerocomputing, 2019, DOI: 10.1016/j.neucom.2019.10.109
  • Swapna Rekha H., Nayak J., Naik B., Pelusi D. (2020) Soft Computing in Robotics: A Decade Perspective. In: Nayak J., Balas V., Favorskaya M., Choudhury B., Rao S., Naik B. (eds) Applications of Robotics in Industry Using Advanced Mechanisms. ARIAM 2019. Learning and Analytics in Intelligent Systems, vol 5. Springer, Cham
  • Balakrishnan, Nagaraj; Rajendran, Arunkumar; Pelusi, Danilo; Ponnusamy, Vijayakumar. (2019). Deep Belief Network enhanced Intrusion Detection System to Prevent Security Breach in the Internet of Things, Internet of Things, DOI:10.1016/j.iot.2019.100112. pp.100112.
  • Yurui Ming, Weiping Ding, Danilo Pelusi, Dongrui Wu, Yu-Kai Wang, Mukesh Prasad, Chin-Teng Lin, Subject adaptation network for EEG data analysis, Applied Soft Computing, 2019, https://doi.org/10.1016/j.asoc.2019.105689
  • Danilo Pelusi, On Redundancy Reduction of Non-Recursive Second-Order Spectral-Null Codes, IEEE Access, Vol. 7, pp. 112171-112179, 2019.
  • Janmenjoy Nayak, Paidi Dinesh, Kanithi Vakula.Bighnaraj Naik, Danilo Pelusi, Applications and Advancements of Nature-Inspired Optimization Algorithms in Data Clustering: A Detailed Analysis, Computational Intelligence in Data Mining, Advances in Intelligent Systems and Computing, Springer, pp 731-750, 2019.
  • Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi, Computational Intelligence in Data Mining Proceedings of the International Conference on ICCIDM 2018, Springer 2019.
  • Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, Soumen Kumar Pati, Danilo Pelusi, Computational Intelligence in Pattern Recognition, Proceedings of CIPR 2019, Springer, 2019.
  • Priyanka Das, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, Weiping Ding, "A Graph Based Clustering Approach for Relation Extraction From Crime Data'', IEEE Access, Vol. 7, 101269-101282, 2019.

  • P. Das, A. K. Das, J. Nayak, D. Pelusi, "A framework for crime data analysis using relationship among named entities'', Neural Computing and Applications, 2019, https://doi.org/10.1007/s00521-019-04150-8

  • Balakrishnan, N., Pelusi, D., Chen, J.I.-Z., "Editorial", International Journal of Business Intelligence and Data Mining, Volume 14, Issue 1-2, 2019, Pages 1-2.
  • Yurui Ming, Danilo Pelusi, Chieh-Ning Fang, Mukesh Prasad, Yu-Kai Wang, Dongrui Wu, Chin-Teng Lin, "EEG data analysis with stacked differentiable neural computers", Neural Computing and Applications, 2018, https://doi.org/10.1007/s00521-018-3879-1.
  • Gorripotu, T.S., Samalla, H., Jagan Mohana Rao, C., Azar, A.T., Pelusi, D., "TLBO algorithm optimized fractional-order PID controller for AGC of interconnected power system", Advances in Intelligent Systems and Computing, Volume 758, pp. 847-855, 2018.
  • Nayak, J., Paparao, S., Naik, B., Seetayya, N., Pradeep, P., Behera, H.S., Pelusi, D., "Chemical reaction optimization: A survey with application and challenges", Advances in Intelligent Systems and Computing, Volume 758, pp. 507-524, 2018.

  • Pelusi D., Mascella R., Tallini L. (2018), ''A Fuzzy Gravitational Search Algorithm to Design Optimal IIR Filters'', Energies, vol. 11(4), 736.

  • Naik B., Mishra D., Nayak J., Pelusi D., Abraham A., ''Perturbation Based Efficient Crow Search Optimized FLANN for System Identification: A Novel Approach'',  Hybrid Intelligent Systems (HIS) 2017, Advances in Intelligent Systems and Computing, vol. 734, p. 204-212.

  • Pelusi D., Mascella R., Tallini L., Nayak J., Naik B., Abraham A., "Neural Network and Fuzzy System for the tuning of Gravitational Search Algorithm parameters'', Expert Systems with Applications, Vol. 102, 234-244, 2018.
  • Pelusi, D.; Mascella, R.; Tallini, L., "Revised Gravitational Search Algorithms Based on Evolutionary-Fuzzy Systems", Algorithms, Vol. 10, Issue 2, 44, 2017.
  • Nagaraj, B., Pelusi, D., Che, J.I.-Z., Introductory Editorial, Wireless Personal Communications, pp. 1-2, 2017
  • D. Pelusi, R. Mascella, L. G. Tallini, L. Vazquez, D. Diaz, Control of Drum Boiler Dynamics via an Optimized Fuzzy Controller, International Journal of Simulation Systems, Science & Technology, Volume 17, Number 33, pp. 22.1-22.7, 2016
  • L. G. Tallini, D. Pelusi, R. Mascella, L. Pezza, S, Elmougy, B. Bose, Efficient Non-Recursive Design of Second-Order Spectral-Null Codes. IEEE Transactions on Information Theory, Vol. 62, Issue 6, pp. 3084-3102, 2016.
  • D. Pelusi, M. Tivegna, Explorations in the use of artificial intelligence techniques and econometric forecasting in the Euro-$ market, International Conference on Mathematical and Statistical Methods for actuarial sciences and finance, Paris, France, March 30-31, April 1, 2016
  • G. Taffoni, E. Sciacca, A. Pietrinferni, U. Becciani, A. Costa, S. Cassisi, F. Pasian, D. Pelusi, C. Vuerli, Feeding an astrophysical database via distributed computing resources: The case of BaSTI, Astronomy and Computing, Volume 11, Part B, Pages 109-118, June 2015,
  • Pelusi D, Elmougy S, Tallini L G, Bose B., m-ary Balanced Codes with Parallel Decoding, IEEE Transactions on Information Theory, Vol. 61, Issue 6, pp. 3251-3264, 2015
  • A. Pietrinferni, M. Molinaro, S. Cassisi, F. Pasian, M. Salaris, D. Pelusi, P. Manzato, C. Vuerli, BaSTI: An updated, advanced and VO-compliant database of stellar evolution predictions, Astronomy and Computing, Volumes 7-8,  pp. 95-100, November-December 2014
  • M. Tivegna, P. Ippoliti, D. Pelusi, Intelligent algorithms for trading the Euro-Dollar with a news-based econometric model of the foreign exchange market, International Conference on Mathematical and Statistical Methods for actuarial sciences and finance, Vietri sul Mare, Italy,  April 22-24, 2014
  • Pelusi D, Tivegna M, Ippoliti P, Intelligent algorithms for trading the Euro-Dollar in the foreign exchange market. Mathematical and Statistical Methods for Actuarial Sciences and Finance, pp. 243-252, ISBN 978-3-319-02499-8, Springer, 2014
  • R. Mascella, D. Pelusi, L. Pezza, S. Elmougy, L. G. Tallini, B. Bose, "On Efficient Second-Order Spectral-Null Codes using Sets of m1-Balancing Functions", IEEE International Symposium on Information Theory, pp. 141-145, July 7-12, 2013
  • Pelusi D, Designing neural networks to improve timing performances of intelligent controllers. Journal of Discrete Mathematical Science & Cryptography, Vol. 16(2-3), pp. 187-193, 2013
  • Pelusi D, Tivegna M, Ippoliti P, Improving the profitability of Technical Analysis through intelligent algorithms. Journal of Interdisciplinary Mathematics, Vol. 16(2-3), pp. 203-215, 2013
  • D. Pelusi, L. Vazquez, D. Diaz, R. Mascella, "Fuzzy Algorithm Control Effectiveness on Drum Boiler Simulated Dynamics", International Conference on Telecommunications and Signal Processing (TSP), ISBN 978-1-4799-0403-7, ISSN 1805-5435, pp. 272-276, 2013
  • D. Pelusi, R. Mascella, "Optimal control algorithms for second order systems", Journal of Computer Science, Science Publications, Vol. 9, Issue 2, pp. 183-197, 2013
  • D. Pelusi, "PID and Intelligent Controllers for optimal timing performances of industrial actuators", International Journal of Simulation,Systems, Science & Technology, ISSN 1473-804x Online, ISSN 1473-8031 Print, Vol. 13, No. 2, pp. 65-71, 2012.
  • D. Pelusi, M. Tivegna, P. Ippoliti, "Intelligent algorithms for trading the Euro-Dollar in the foreign exchange market", proceedings of the International Conference on Mathematical and Statistical Methods for Actuarial Sciences and Finance, Venezia, Italy, 2012.
  • D. Pelusi, "Improving Settling and Rise Times of Controllers Via Intelligent Algorithms", proceedings of the IEEE International Conference on Modelling and Simulation, ISBN: 978-0-7695-4682-7/12, pp. 187-192, Cambridge, United Kingdom, 2012
  • D. Pelusi, M. Tivegna, "Optimal trading rules at hourly frequency in the foreign exchange markets", Mathematical and Statistical Methods for Actuarial Sciences and Finance, Springer, Hardcover ISBN: 978-88-470-2341-3, pp. 341-348, 2012
  • D. Pelusi, "On designing optimal control systems through genetic and neuro-fuzzy techniques", proceedings of the IEEE International Symposium on Signal Processing and Information Technology, ISBN: 978-1-4673-0753-6, pp. 134-139, Bilbao, Spagna, 2011.
  • D. Pelusi, "Design and implementation of fuzzy controllers for optimal signals sampling", International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011), ASME, ISBN: 978-0-7918-59902, Volume 2, pp. 485-488, 2011.
  • D. Pelusi, "Genetic-Neuro-Fuzzy Controllers for second order control systems", proceedings of the IEEE European Modelling Symposium on Mathematical Modelling and Computer Simulation, ISBN: 978-1-4673-0060-5, pp. 12-17, Madrid, Spagna, 2011.
  • D. Pelusi, "Optimization of a Fuzzy Logic Controller using Genetic Algorithms", proceedings of the IEEE International Conference on Intelligent Human-Machine Systems and Cybernetics, Hangzhou, ISBN:978-1-4577-0676-9, pp. 143-146, Hangzhou, China, 2011.
  • D. Pelusi, "Design and implementation of fuzzy controllers for optimal signals sampling", proceedings of the International Conference on Innovative Computing and Communication and Asia-Pacic Conference on Information Technology and Ocean Engineering, Macao, China, 2011.
  • D. Pelusi, L.G. Tallini, B. Bose, "On m-ary Balanced Codes with Parallel Decoding", Proceedings of the IEEE International Symposium on Information Theory, Austin, Texas, U.S.A., pp. 1305-1309, June 13 - 18, 2010
  • D. Pelusi, "A pattern recognition algorithm for optimal profits in currency trading", Mathematical and Statistical Methods for Actuarial Sciences and Finance, Springer, XII, 300 p., Hardcover ISBN: 978-88-470-1480-0, pp. 233-242, 2010
  • D. Pelusi, "On finding training and trading time set, for optimal profits in currency trading using Technical Analysis", proceedings of International Conference "Mathematical and Statistical Methods for Actuarial Sciences and Finance 2008", Venezia, 2008
  • R. Mascella, D. Pelusi, L. G. Tallini, "On combinatorial algorithms for indexing m-ary word weight classes", Advances in Mathematics of Uncertainty, Performantica, ISBN (10): 973-730- 257-5, ISBN (13): 978-973-730-257-1, pp.71-87, 2006
  • R. Mascella, D. Pelusi, L. G. Tallini, "On computing the indexing function over the set of combinatorial compositions", Advances in Mathematics of Uncertainty, Performantica, ISBN (10): 973-730-257-5, ISBN (13): 978-973-730-257-1, pp. 59-69, 2006
  • F. Eugeni, R. Mascella, D. Pelusi, "Uncertainty from philosophical and mathematical point of view", Advances in Mathematics of Uncertainty, Performantica, ISBN (10): 973-730-257-5, ISBN (13): 978-973-730-257-1, pp. 7-12, 2006
  • F. Bortoletto, M. D'Alessandro, E. Giro, D. Magrin, L. Corcione, D. Pelusi, C. Giuliani, A. Di Cianno, "Control system architecture for AMICA: the Antarctic NIR/MIR camera for IRAIT", Ground-based and Airborne Instrumentation for Astronomy. Edited by McLean, Ian S.; Iye, Masanori. Proceedings of the SPIE, Volume 6269, pp. 62695A, Orlando, 2006.
  • M. Dolci, O. Straniero, G. Valentini, G. Di Rico, M. Ragni, D. Pelusi, I. Di Varano, C. Giuliani, A. Di Cianno, A. Valentini, L. Corcione, F. Bortoletto, M. D'Alessandro, C. Bonoli, E. Giro, D. Fantinel, D. Magrin, F. Zerbi, A. Riva, E. Molinari, P. Conconi, V. De Caprio, M. Busso, G. Tosti, G. Nucciarelli, F. Roncella, C. Abia, "AMICA (Antarctic Multiband Infrared CAmera) Project", Ground-based and Airborne Telescopes. Edited by Stepp, Larry M.. Proceedings of the SPIE, Volume 6267, pp. 62671I, Orlando, 2006.
  • F. Bortoletto, M. D'Alessandro, C. Bonoli, D. Fantinel, E. Giro, D. Magrin, L. Corcione, D. Pelusi, C. Giuliani, A. di Cianno, V. De Caprio, A. Riva, "The Antarctic NIR/MIR Camera AMICA", Scientific Detectors for Astronomy 2005. Edited by Jenna E. Beletic, University of Chicago, U.S.A.; James W. Beletic, Rockwell Scientific Company, U.S.A.; Paola Amico, European Southern Observatory, Chile. Volume LXIV, p. 771 1-4020-4329-5. Berlin: Springer Dordrecht, p.673, 2006
  • G. Tosti, M. Busso, G. Nucciarelli, M. Bagaglia , F. Roncella, A. Mancini, S. Castellini , M. Mariotti , E. Babucci , G. Chiocci, O. Straniero, M. Dolci, G. Valentini, I. di Varano, D. Pelusi, G. Di Rico, M. Ragni , C. Abia, I. Domnguez, L. Corcione , F. Porcu , P. Conconi , V. De Caprio , A. Riva , E. Molinari , F. M. Zerbi , F. Bortoletto, C. Bonoli , M. D'Alessandro , J. Colom , J. Isern , R. Briguglio , A. Cacciani , L. Farnesini, B. Checcucci , K. G. Strassmeier, "The International Robotic Antarctic Infrared Telescope (IRAIT)", Ground-based and Airborne Telescopes. Edited by Stepp, Larry M.. Proceedings of the SPIE, Volume 6267, pp. 62671H, Orlando, 2006.
  • A. Riva, M. Dolci, O. Straniero, F. M. Zerbi, E. Molinari, P. Conconi, V. De Caprio, G. Valentini, G. Di Rico, M. Ragni, D. Pelusi, I. Di Varano, C. Giuliani, A. Di Cianno, A. Valentini,.F. Bortoletto, M. D'Alessandro, C. Bonoli, E. Giro, D. Fantinel, D. Magrin, L. Corcione, M. Busso, G. Tosti, G. Nucciarelli, F. Roncella, C. Abia and the IRAIT Team, "AMICA - The Infrared Eye at DOME C", Astronomy in Antarctica, 26th meeting of the IAU, Praga, 2006
  • D. Pelusi, "Fuzzy systems", Journal of Discrete Mathematical Sciences & Cryptography, Volume 8, Nr. 1, pp. 131-136, April 2005
  • M. Dolci, G. Valentini, O. Straniero, G Di Rico, M. Ragni, D. Pelusi, C. Giuliani, A. Di Cianno, I. Di Varano, G. Tosti, M. Busso, L. Corcione, "AMICA: the Antarctic Mid-Infrared Camera for the IRAIT telescope", EAS Publications Series, Volume 14, pp. 337-342, 2005
  • G. Di Rico, M. Ragni, M. Dolci, G. Valentini, O. Straniero, I. Di Varano, D. Pelusi, D. Magrin, E. Giro, D. Fantinel, C. Bonoli, M. D'Alessandro, F. Bortoletto, L. Corcione, "Infrared Observations from Antarctica: the AMICA Project", proceedings of "Astronomical Data Analysis Software and Systems XV ASP Conference Series", Vol. 351. Edited by Carlos Gabriel, Christophe Arviset, Daniel Ponz, and Enrique Solano. San Francisco: Astronomical Society of the Pacific, p.739, 2006. San Lorenzo de El Escorial, 2005
  • G. Tosti, M. Busso, O. Straniero, C. Abia, M Bagaglia, M. Dolci, L. Corcione, G. Nucciarelli, F. Roncella, G. Valentini, I. Di Varano, D. Pelusi, "The IRAIT Project: infrared astronomy from Antartica", proceedings of SPIE, Volume 5489, pp. 742-753, Glasgow, 2004.
  • D. Pelusi, "A fuzzy controller for digital signals processing", Fuzzy systems and A. I., EA, Volume 10, Nr. 3, pp. 131-138, 2004.
  • G. Di Rico, I. Di Varano, D. Pelusi, M. Ragni, M. Dolci, G. Valentini, O. Straniero, L. Corcione, G. Tosti, M. Busso, "The Antarctic Mid-Ir Camera (AMICA) for the IRAIT telescope", Astronomische Nachrichten, Volume 325, Issue 6, pp. 664-664, 2004.

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Ultimo aggiornamento: 10-06-2019
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