Abstract
It is a priority to develop intelligent irrigation systems to save water. Using optimal control formulations and techniques, one can make water consumption follow more closely the hydrological needs of the crop, taking into account current weather conditions. Here, the mathematical model presented by the authors in previous publications is improved. This new model incorporates new features like the soil slope, the possibility to include a percentage of water losses due to runoff, and a percentage of water losses if the soil is on the field capacity. A new and efficient replan strategy is applied, taking into account the data measured from moisture sensors to ensure that the hydric needs of the crop are fulfilled. A new approach to deal with multiple irrigation points is also proposed. It allows redistributing the available water if an irrigation point cannot provide the water needed.

Abstract
This paper presents a systematic mapping review of the literature on innovative digital solutions to detect cognitive impairment of community-dwelling older adults. Seventy-six articles were included in this mapping review. Most of the included articles (i.e., 65 articles) reported the implementation and validation of computerized versions of paper-based neuropsychological tests. In turn, 11 studies are related to the application of emerging technologies to detect cognitive decline, including serious games, virtual reality, and data analytics (e.g., algorithms to analyse data from ubiquitous daily activity and interaction sensing) approaches. From these 11 studies, four include experimental setups to determine if the developed digital solutions can discriminate cognitive impairments. Based on the mapping review findings is possible to conclude that further research is required to develop cognitive screening approaches alternative to computerized versions of paper-based neuropsychological tests.

Abstract

Abstract
Melanoma is considered the deadliest type of skin cancer and in the last decade, the incidence rate has increased substantially. However, automatic melanoma classification has been widely used to aid the detection of lesions as well as prevent eventual death. Therefore, in this paper we decided to investigate how an attention mechanism combined with a classical backbone network would affect the classification of melanomas. This mechanism is known as triplet attention, a lightweight method that allows to capture cross-domain interactions. This characteristic helps to acquire rich discriminative feature representations. The different experiments demonstrate the effectiveness of the model in five different datasets. The model was evaluated based on sensitivity, specificity, accuracy, and F1-Score. Even though it is a simple method, this attention mechanism shows that its application could be beneficial in classification tasks.

Abstract
Energy efficiency and indoor air quality are frequently-two conflicting objectives when establishing the air change rate (ACH) of a dwelling. In Europe, the northern countries have a clear focus on energy conservation, leading to an obvious awareness of the importance of airtightness, which translates into a high level of regulation and implementation. Meanwhile, the southern counterparts experience a more com-plex challenge by having predominantly passive ventilation strategies and milder climates, which often results in a more permissive approach. This work proposes an innovative labelling methodology to classify the performance of naturally ventilated dwellings. A representative sample of a southern European national built stock is used in a stochastic process to create a pool of 43,200 unique dwellings. The simulation period refers to a month of the typical heating season in the southern European mild conditions. The results test the labelling methodology. With feature selection, ACH limits, and a labelling strategy, dwellings classify according to their ability to provide adequate ACHs. The terrain was the best splitter of the dataset from the applied categorical variables. Regarding continuous variables, the airtightness was the one explaining most of the variability of the outputted ACHs, followed by the floor area. From the best performing dwellings labelled as compliant (Com), the average airtightness level was 5.3 h(-1), with 4.9 h(-1) and 5.8 h(-1) in rural and urban locations.

Abstract
The new education paradigm derived from industry 4.0 indicates that personalised and engaging learning models should be applied to train employees so they can know the related concepts of this industry, have the necessary skills to perform adequately their tasks and correctly use the technologies and tools. This paper presents a qualitative analysis of existing frameworks for training through Serious Games. By analysing the frameworks identified in a previously conducted literature review, this paper shows the frameworks' dimensions, objectives, and trends. Gaps regarding the planned adaptation of Serious Games by the studied frameworks and the lack of relationship between learning outcomes and professional competencies were also presented. © 2022 Elsevier B.V.. All rights reserved.