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Mantas Bacevicius and Agne Paulauskaite-Taraseviciene
Various machine learning algorithms have been applied to network intrusion classification problems, including both binary and multi-class classifications. Despite the existence of numerous studies involving unbalanced network intrusion datasets, such as ...
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Ellie Newell and Sergio Maldonado
Due to the significant mismatch in timescales associated with morphological and hydrodynamic processes in coastal environments, modellers typically resort to various techniques for speeding up the bed evolution in morphodynamic simulations. In this paper...
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Amal Naitali, Mohammed Ridouani, Fatima Salahdine and Naima Kaabouch
Recent years have seen a substantial increase in interest in deepfakes, a fast-developing field at the nexus of artificial intelligence and multimedia. These artificial media creations, made possible by deep learning algorithms, allow for the manipulatio...
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Olli Jansson and Matthew W. Harris
This paper presents new techniques for the trajectory design and control of nonlinear dynamical systems. The technique uses a convex polytope to bound the range of the nonlinear function and associates with each vertex an auxiliary linear system. Provide...
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Edoardo Mancini, Lorenzo Mussolin, Giulia Morettini, Massimiliano Palmieri, Maria Ionica, Gianluigi Silvestre, Franck Cadoux, Agnese Staffa, Giovanni Ambrosi, Filippo Cianetti, Claudio Braccesi, Lucio Farnesini, Mirco Caprai, Gianluca Scolieri, Roberto Petrucci and Luigi Torre
Physics research is constantly pursuing more efficient silicon detectors, often trying to develop complex and optimized geometries, thus leading to non-trivial engineering challenges. Although critical for this optimization, there are few silicon tile me...
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