144   Artículos

 
en línea
Dominic Lightbody, Duc-Minh Ngo, Andriy Temko, Colin C. Murphy and Emanuel Popovici    
The growth of the Internet of Things (IoT) has led to a significant rise in cyber attacks and an expanded attack surface for the average consumer. In order to protect consumers and infrastructure, research into detecting malicious IoT activity must be of... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Somayeh Shahrabadi, Telmo Adão, Emanuel Peres, Raul Morais, Luís G. Magalhães and Victor Alves    
The proliferation of classification-capable artificial intelligence (AI) across a wide range of domains (e.g., agriculture, construction, etc.) has been allowed to optimize and complement several tasks, typically operationalized by humans. The computatio... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Emanuel A. R. Camacho, Flávio D. Marques and André R. R. Silva    
Flapping wing dynamics are of great interest in many research areas, such as bioinspired systems and aircraft aeroelasticity. The findings of the present study provide significant insight into the importance of the leading-edge dynamic incidence on the p... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Dominic Lightbody, Duc-Minh Ngo, Andriy Temko, Colin C. Murphy and Emanuel Popovici    
This study proposes the wider use of non-intrusive side-channel power data in cybersecurity for intrusion detection. An in-depth analysis of side-channel IoT power behaviour is performed on two well-known IoT devices?a Raspberry Pi 3 model B and a Dragon... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Emanuel Rieder, Matthias Schmuck and Alexandru Tugui    
Digital transformation (or digitalization) is the process of continuous further development of digital technologies (such as smart devices, cloud services, and Big Data) that have a lasting impact on our economy and society. In this manner, digitalizatio... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Duc-Minh Ngo, Dominic Lightbody, Andriy Temko, Cuong Pham-Quoc, Ngoc-Thinh Tran, Colin C. Murphy and Emanuel Popovici    
This study proposes a heterogeneous hardware-based framework for network intrusion detection using lightweight artificial neural network models. With the increase in the volume of exchanged data, IoT networks? security has become a crucial issue. Anomaly... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Rodica Pripoaie, Anca-Gabriela Turtureanu, George-Cristian Schin, Andreea-Elena Matic, Carmen-Mihaela Cre?u, Cristina-Gabriela Patra?cu, Carmen-Gabriela Sîrbu and Emanuel ?tefan Marinescu    
This study explores an important issue in tourism, namely, the competitiveness of tourism. In the present paper, we aim at analyzing the relationship between tourism and national prosperity. The term competitiveness is a research topic intensively addres... ver más
Revista: Administrative Sciences    Formato: Electrónico

 
en línea
Gill Velleda Gonzales, Cesare Biserni, Emanuel da Silva Diaz Estrada, Gustavo Mendes Platt, Liércio André Isoldi, Luiz Alberto Oliveira Rocha, Antônio José da Silva Neto and Elizaldo Domingues dos Santos    
A new complex geometry cavity is optimized by associating the constructal design (CD) method with the differential evolution (DE) algorithm. Statistical analyses are performed to indicate the best parameters of the meta-heuristic to be applied during the... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Rayanne H. N. Silva, Emanuel P. Magalhães, Rebeca C. Gomes, Yunierkis Perez-Castillo, Alice M. C. Martins and Damião P. de Sousa    
Neglected tropical diseases (NTDs) cause thousands of deaths each year. Among these diseases, we find Chagas disease, whose etiologic agent is Trypanosoma cruzi. Piplartine is an alkamide present in various species of the genus Piper that possess trypano... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Alessandro La Ferlita, Yan Qi, Emanuel Di Nardo, Ould el Moctar, Thomas E. Schellin and Angelo Ciaramella    
Two methods were compared to predict a ship?s fuel consumption: the simplified naval architecture method (SNAM) and the deep neural network (DNN) method. The SNAM relied on limited operational data and employed a simplified technique to estimate a ship?s... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

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