Abstract
Machine Learning (ML) progressed significantly in the last decade, evolving the computer-based learning/prediction paradigm to a much more effective class of models known as Deep learning (DL). Since then, hyperspectral data processing relying on DL approaches is getting more popular, competing with the traditional classification techniques. In this paper, a valid ML/DL-based works applied to hyperspectral data processing is reviewed in order to get an insight regarding the approaches available for the effective meaning extraction from this type of data. Next, a general DL-based methodology focusing on hyperspectral data processing to provide farmers and winemakers effective tools for earlier threat detection is proposed.

Abstract
The wine sector is one of the most economically important agro-food businesses. The wine market value is largely associated to terroir, in some cases resulting in highly expensive wines that attract fraudulent practices. The existent wine traceability system has some limitations that can be overcome with the development of new technological approaches that can tackle this problem with several means. This review aims to call attention to the problem and to present several strategies that can assure a more reliable and authentic wine system, identifying existent technologies developed for the sector, which can be incorporated into the current traceability system.

Abstract
Industrial Symbiosis (IS) envisages a collaborative approach to resource efficiency, encouraging companies to recover, reprocess and reuse waste within the industrial network. Several challenges regarding the effective application of IS continue to limit a broader implementation of this area of Industrial Ecology. The MAESTRI project encompasses an Industrial Symbiosis approach within the scope of sustainable manufacturing for process industries that fosters the sharing of resources (energy, water, residues, etc.) between different processes of a single company or between multiple companies. The Industrial Symbiosis approach is integrated with Efficiency Framework in the so-called MAESTRI Total Efficiency Framework. Efficiency Framework is devoted to the combination of eco-efficiency (via ecoPROSYS) and the efficiency assessment (via MSM – Multi-Layer Stream Mapping). In this manuscript the benefit of the combination of the Efficiency Framework as an facilitator to a more effective application of Industrial Symbiosis, within or outside the company’s boundaries, is explored. © 2018 Taylor & Francis Group, London, UK.

Abstract
One of the most important tasks for a mobile robot is to navigate in an environment. The path planning is required to design the trajectory that generates useful motions from the original to the desired position. There are several methodologies to perform the path planning. In this paper, a new method of approximate cells decomposition, called K-Framed Quadtrees is present, to which the algorithm A ? is applied to determine trajectories between two points. To validate the new approach, we made a comparative analysis between the present method, the grid decomposition, quadtree decomposition and framed quadtree decomposition. Results and implementation specifications of the four methods are presented. © 2018, Springer International Publishing AG.

Abstract
This paper presents results of a study of the level of agreement of assessments and decisions made by quality controllers in a sensory inspection. The study subjects included persons with hearing disability. The study was conducted in an automotive manufacturing company. The employees with hearing loss perform product quality inspection which includes, among other things, visual inspection of the goods. The measurement system analysis (MSA) procedure for attributes, with the use of Gwet's AC(1) coefficient, was applied to estimate the level of agreement of decisions made by the raters. The study results show that the quality of work performed by employees with hearing disability is at least as good as that of able-bodied employees. Based on the knowledge possessed by the authors, this approach to the problem is characterized by novelty.

Abstract
This study investigates the sustainability reporting practices of companies based in the Nordic and the Mediterranean European countries for the period 2013-2015. Its purpose is to analyse to what extent, if any, are there differences in these practices. It seeks to capture the influence of national institutions and firm specific characteristics in sustainability reporting. Non-parametric statistics are used to analyse some factors which influence disclosure, namely country, industry affiliation, type of property, listing status and size. In accordance with the theoretical frame used, that of the varieties of capitalism approach, findings suggest that in general companies from Mediterranean European countries present higher levels of engagement with the Global Reporting Initiative.