Soft Computing, Artificial Intelligence and Applications

Cancer Prognosis Prediction Using Balanced Stratified Sampling J.S.Saleema1, N.Bhagawathi2, S.Monica2, P.Deepa Shenoy2, K.R.Venugopal2 and L.M.Patnaik3 1Christ University, India 2University Visvesvaraya College of Engineering, India 3Indian Institute of Science, India ABSTRACT High accuracy in cancer prediction is important to improve the quality of the treatment and to improve the rate of survivability of patients. As the data volume is increasing rapidly in the healthcare research, the analytical challenge exists in double. The use of effective sampling technique in classification algorithms always yields good prediction accuracy. The SEER public use cancer database provides various prominent class labels for prognosis prediction. The main objective of this paper is to find the effect of sampling techniques in classifying the prognosis variable and propose an ideal sampling method based on the outcome of the experimentation. In the first phase of this work the traditio...

Artificial Intelligence Handling Through Teaching and Learning Process and It�s Effect on Science-Based Economy Mohammad Ziaaddini and Aref Tahmasb shahidBahonar University, Iran ABSTRACT According to this fact that educational system is the base of constant development in every country and this system educates human-forces and this forces,are accelerators and a factor, of achieving the goals of development,the educational system can play, Major role in the context economic behavior, in this context some concepts are regarded as behavioral targets and performance.In educational system, handling artificial intelligence, in teaching and learning process, had a surprising evolution through educational advantages, making job, respecting customers rights and customer relationship management, to assist priority and citizenship, correct investment through formal markets. Science-Based economy, resistible economy and a positive view to job and Iran capital,including concepts which...

Design and Implementation of Smart Cooking Based on Amazon Echo Lin Xiaoguang1,2,3, Yang Yong3 and Zhang Ju1,3 1University of Chinese Academy of Sciences, China 2Chinese Academy of Sciences - Chengdu, China 3Chinese Academy of Sciences - Chongqing, China ABSTRACT Smart cooking based on Amazon Echo uses the internet of things and cloud computing to assist in cooking food. People may speak to Amazon Echo during the cooking in order to get the information and situation of the cooking. Amazon Echo recognizes what people say, then transfers the information to the cloud services, and speaks to people the results that cloud services make by querying the embedded cooking knowledge and achieving the information of intelligent kitchen devices online. An intelligent food thermometer and its mobile application are well-designed and implemented to monitor the temperature of cooking food. KEYWORDS Smart Cooking, Things of Internet, Cloud Services, Smart Home. Original Source URL: ht...

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...