Abstract Health care systems undergone rapid changes due to the infusion of computational intelligence and information technology as a whole. Dermatology developments are mainly possible due to the technology applications. It is the field that experiences vast changes and these are reflected in mobile health and other means. Besides, many more mobile applications are making influence in the medical care and... Health care systems undergone rapid changes due to the infusion of computational intelligence and information technology as a whole. Dermatology developments are mainly possible due to the technology applications. It is the field that experiences vast changes and these are reflected in mobile health and other means. Besides, many more mobile applications are making influence in the medical care and diagnosis and found suitable to modern medical systems. We in this work carried out a survey using mobile applications which use computational intelligence for sensing skin disorders. The applications consider mainly on the level of sensitivity, specificity and overall accuracy of the given diagnoses in comparison to the accuracy of a dermatologist. In the survey we observed many applications of care and diagnosis of skin diseases. It is noticed that only a few list the techniques that use these applications for the classification of the disease. Many applications use a high levels of precision, and mainly those that utilize artificial neural networks and vector support machine algorithms. Even with the developments the techniques are available only for a number of limited diseases. These issues lead to conclude that the direction of the research towards the field of dermatology can contribute to the minimization of the gap between stakeholders. Read More Read Less

Abstract In the last few years, a plague has infused the chestnut trees substantially which has a high negative effect on the chestnut production. To overcome the plague the T Sinensis parasites are found more effective to control these plague in a few countries. We in this study observed the evolution of the density of D. kuriphilus and T. sinensis eggs... In the last few years, a plague has infused the chestnut trees substantially which has a high negative effect on the chestnut production. To overcome the plague the T Sinensis parasites are found more effective to control these plague in a few countries. We in this study observed the evolution of the density of D. kuriphilus and T. sinensis eggs across time and space with the help of many numerical solution of mathematical models that are earlier proposed. We understand that the biological control with T. sinenis operates and thus eradicates D. kuriphilus from the infected area. We mainly observed that the simulations also shown that biological control is not effective over time, as D. kuriphilus returns to the same area. We recommend that it is important to reinject T. sinensis periodically into the infected zones for a sustained fight against D. kuriphilus. Read More Read Less

Abstract In this work, many analog ensembles algorithms were used with the performance of multiple stations. We have deployed many techniques to analyse and benchmark inorder to change the prediction. This issue consists in leading the weather predictions for a location where no data is available, using meteorological time series from nearby stations. Many models are verified and explored. The preliminary... In this work, many analog ensembles algorithms were used with the performance of multiple stations. We have deployed many techniques to analyse and benchmark inorder to change the prediction. This issue consists in leading the weather predictions for a location where no data is available, using meteorological time series from nearby stations. Many models are verified and explored. The preliminary one is described by Monache and co-workers, to methods using cosine similarity, normalization, and K-means clustering. Best results were obtained with the K-means metric, wielding between 3% and 30% of lower quadratic error when compared against the Monache metric. Increasing the predictors to two stations improved the performance of the hindcast, leading up to 16% of lower error, depending on the correlation between the predictor stations. Read More Read Less