Soft Computing, Artificial Intelligence and Applications

Forecasting Macroeconomical Indices with Machine Learning : Impartial Analysis of the Relation Between Economic Freedom and Quality of Life Jonathan Staufer and Patricia Brockmann Technische Hochschule Nurnberg, Germany ABSTRACT The importance of economic freedom has often been stressed by supporters of liberalism, but can its actu-al effect be observed in a data driven, objective way? To analyze this relation the Economic Freedom of the World (EFW) index and the Human Development Index (HDI) were examined with modern machine learning algorithms and a wide-ranging approach. Considering the EFW index’s preference of a liberal-istic oriented economic policy, an objective recommendation for creating an economic policy that im-proves people’s everyday lives might be derived by the analysis results. It was found that these more ad-vanced algorithms achieve a considerably stronger correlation between both indices than pure statistical means yet leave a small room for interpretati...

Intelligent Electrical Multi Outlets Controlled and Activated by a Data Mining Engine Oriented to Building Electrical Management Alessandro Massaro, Valeria Vitti, Angelo Galiano Dyrecta Lab, Italy ABSTRACT In the proposed paper are discussed results of an industry project concerning energy management in building. Specifically the work analyses the improvement of electrical outlets controlled and activated by a logic unit and a data mining engine. The engine executes a Long Short-Terms Memory (LSTM) neural network algorithm able to control, to activate and to disable electrical loads connected to multiple outlets placed into a building and having defined priorities. The priority rules are grouped into two level: the first level is related to the outlet, the second one concerns the loads connected to a single outlet. This algorithm, together with the prediction processing of the logic unit connected to all the outlets, is suitable for alerting management for cases of thresh...

5th International Conference on Artificial Intelligence and Applications (AIFU 2019) July 13~14, 2019, Toronto, Canada https://ccsea2019.org/aifu/index.html

7 th International Conference on Soft Computing, Artificial Intelligence and Applications (SCAI 2018) December 22~ 23, 2018, Sydney, Australia http://iccsea2018.org/scai/index.html Scope & Topics 7 th  International Conference on Soft Computing, Artificial Intelligence and Applications ( SCAI 2018)  Will Provide An Excellent International Forum For Sharing Knowledge And Results In Theory, Methodology And Applications Of Artificial Intelligence, Soft Computing. The Conference Looks For Significant Contributions To All Major Fields Of The Artificial Intelligence, Soft Computing In Theoretical And Practical Aspects. The Aim Of The Conference Is To Provide A Platform To The Researchers And Practitioners From Both Academia As Well As Industry To Meet And Share Cutting-Edge Development In The Field. Authors Are Solicited To Contribute To The Conference By Submitting Articles That Illustrate Research Results, Projects, Surveying Works And Industr...

6th International Conference on Artificial Intelligence and Applications (AIAP-2019) May 25~26, 2019, Vancouver, Canada https://ccseit2019.org/aiap/index.html Contact Us Here's where you can reach us : aiap_conf@yahoo.com or aiap@ccseit2019.org Paper Submission : https://ccseit2019.org/submission/index.php

MODEL OF MULTIPLE ARTIFICIAL NEURAL NETWORKS ORIENTED ON SALES PREDICTION AND PRODUCT SHELF DESIGN Alessandro Massaro, Valeria Vitti, Angelo Galiano Dyrecta Lab, Italy ABSTRACT In this paper the authors proposed different Multilayer Perceptron Models (MLP) of artificial neural networks (ANN) suitable for visual merchandising in Global Distribution (GDO) applications involving supermarket product facing. The models are related to the prediction of different attributes concerning mainly shelf product allocation applying times series forecasting approach. The study highlights the range validity of the sales prediction by analysing different products allocated on a testing shelf. The paper shows the correct procedures able to analyse most guaranteed results, by describing how test and train datasets can be processed. The prediction results are useful in order to design monthly a planogram by taking into account the shelf allocations, the general sales trend, and the promotion ...

6 th  International Conference on Artificial Intelligence and Applications (AIAP-2019)  May 25~26, 2019, Vancouver, Canada https://ccseit2019.org/aiap/index.html Scope 6 th  International Conference on Artificial Intelligence and Applications (AIAP-2019)  will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and its applications. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances...