Francesco Palmieri mostly deals with Artificial intelligence, Distributed computing, Energy consumption, Algorithm and Computer security. The concepts of his Artificial intelligence study are interwoven with issues in Machine learning, Computer vision and Pattern recognition. His Distributed computing research integrates issues from Scalability, Cryptography, Symmetric-key algorithm, Encryption and Big data.
His Energy consumption research incorporates elements of Network element, Computer network, Server, Efficient energy use and Renewable energy. His Algorithm research includes themes of Nonlinear filter, Feasible region, Discrete space and Control theory. Data mining is closely connected to Traffic engineering in his research, which is encompassed under the umbrella topic of Computer security.
His primary areas of study are Computer network, Artificial intelligence, Computer security, Distributed computing and Algorithm. His Computer network study frequently draws connections between adjacent fields such as The Internet. The Artificial intelligence study combines topics in areas such as Machine learning, Computer vision and Pattern recognition.
Authentication is the focus of his Computer security research. His Distributed computing study integrates concerns from other disciplines, such as Grid computing and Scalability. His studies link Control theory with Algorithm.
Francesco Palmieri mainly focuses on Artificial intelligence, Computer security, Context, Machine learning and Computer network. His work on Artificial neural network, Deep learning and Embedding as part of general Artificial intelligence study is frequently connected to Word2vec, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His work deals with themes such as State and Focus, which intersect with Computer security.
His biological study spans a wide range of topics, including Exploit, Motion, Theoretical computer science and Bayesian network. As a part of the same scientific family, Francesco Palmieri mostly works in the field of Theoretical computer science, focusing on Realization and, on occasion, Factor graph. The Computer network study which covers The Internet that intersects with Anomaly detection.
His primary scientific interests are in Computer security, Artificial intelligence, Authentication, Scalability and Mobile device. His research integrates issues of Enhanced Data Rates for GSM Evolution and Mobile internet in his study of Computer security. Francesco Palmieri has included themes like Machine learning, Time series and Computer vision in his Artificial intelligence study.
Francesco Palmieri has researched Machine learning in several fields, including Classifier and Nonlinear system. His Mobile device research is multidisciplinary, relying on both Latency, Routing control plane, Network engineering, Load balancing and Computer network. Francesco Palmieri combines subjects such as Efficient energy use and Integer programming with his study of Computer network.
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Network anomaly detection with the restricted Boltzmann machine
Ugo Fiore;Francesco Palmieri;Aniello Castiglione;Alfredo De Santis.
Using generative adversarial networks for improving classification effectiveness in credit card fraud detection
Ugo Fiore;Alfredo De Santis;Francesca Perla;Paolo Zanetti.
Information Sciences (2017)
Original Contribution: Optimal filtering algorithms for fast learning in feedforward neural networks
Samir Shah;Francesco Palmieri;Michael Datum.
Neural Networks (1992)
Classifying mammographic lesions using computerized image analysis
J. Kilday;F. Palmieri;M.D. Fox.
IEEE Transactions on Medical Imaging (1993)
Smart Cloud Storage Service Selection Based on Fuzzy Logic, Theory of Evidence and Game Theory
Christian Esposito;Massimo Ficco;Francesco Palmieri;Aniello Castiglione.
IEEE Transactions on Computers (2016)
Multi-layer cloud architectural model and ontology-based security service framework for IoT-based smart homes
Ming Tao;Jinglong Zuo;Zhusong Liu;Aniello Castiglione.
Future Generation Computer Systems (2018)
Ll-filters-a new class of order statistic filters
F. Palmieri;C.G. Boncelet.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1989)
Comments on "Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space. I. Basic properties of selection and mutation" [with reply]
Yong Gao;Xiaofeng Qi;F. Palmieri.
IEEE Transactions on Neural Networks (1994)
Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space. Part II: Analysis of the diversification role of crossover
Xiaofeng Qi;F. Palmieri.
IEEE Transactions on Neural Networks (1994)
Peptide-specific antibodies and proteases as probes of the transmembrane topology of the bovine heart mitochondrial porin.
V. De Pinto;G. Prezioso;F. Thinnes;T. A. Link.
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