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ISBN: 9789603437222. Thessaloniki, Greece: Publishing House Kyriakidis Brothers S.A. Book review of Sideris K, Sideris KK, Xanthi, Greece....

...safety and traceability. The final agreement was signed in 2007. Two round table meetings took place in Japan in 2005 and 2006. In this period several research and industrial delegations visited SINTEF and Nofima. Since 2005, NRIFS (National Research Institute of Fisheries Science, Yokohama) and SINTEF...

...increasing proliferation of Internet of Things (IoT) technologies and convergence of IoT, edge and cloud computing technologies, involves handling massive and complex data sets on heterogeneous resources and incorporating different tools, frameworks, and processes to help organizations make sense of their data...

...ferry in Norway. Historical and operational data from the ferry and environmental data (wind, current, and waves) have been used to develop a machine learning model that predicts the energy consumption. Data from more than 2000 trips have been used for training, validation, and testing of the model. By...

...chemistry and structure of bi- (mono) metallic nanoparticles leading to their deactivation, and this can ultimately affect the reactions long-term performance. Here PtCu and Pt model nanoparticles are prepared by microwave synthesis and characterized by X-ray diffraction (XRD). Surface chemical and morphological...

...combination of these deterministic and statistical models is emerging for scientific applications. To leverage these developments, our aim in this perspective paper is centered around exploring numerous principle concepts to address the challenges of (i) trustworthiness and generalizability in developing...

...frequency of the data used for training and testing of the models. In particular, industrial datasets often consist of measurements that are sampled and analyzed manually or sampled only for sufficiently large change. This is usually handled by resampling and performing some kind of interpolation to...