Titlebook: Hybrid Artificial Intelligent Systems; 10th International C Enrique Onieva,Igor Santos,Emilio Corchado Conference proceedings 2015 Springer

semble

Sendoa Rojas-Lertxundi,J. Ramón Fernández-López,Sergio Huerta,Pablo Garía Bringaselectronic courses on Lean manufacturing. The purpose of the study was determined - this is the formation of professional competencies of students in professional activity. The main tasks were set: development and implementation of model for training a future teacher using the concept of ?Lean produ

晚來的提名

David álvarez,Ramón Fernández,Lidia Sánchez,José Alijahe goal of the study, which is to theoretically and practically substantiate the readiness of university teachers to use information and communication technologies and to analyze how to improve the effectiveness of the learning process with the use of these technologies. This study is considered thr

破布

微枝末節(jié)

Amira Soudani,Ezzeddine Zagroubaul tool that allows the development of personal competencies in the conditions of remote learning, in the implementation of comprehensive and complex educational tasks. One of such tasks is the implementation of a meta-subject approach at all levels of the educational process. The purpose of this pa

Decrepit

開玩笑

Eslam A. Hassan,Ahmed Ibrahem Hafez,Aboul Ella Hassanien,Aly A. Fahmyellschaft und der Unternehmenspraxis hervorgerufen. Aufkommende Technologien in den Feldern Big Data und Advanced Analytics werden auch im Controlling zunehmend diskutiert oder bereits eingesetzt. Dabei befinden sich der Wissensstand, inwieweit Big Data und Advanced Analytics das Controlling beeinfl

免費(fèi)

協(xié)議

An Instance of Social Intelligence in the Internet of Things: Bread Making Recipe Recommendation by es an intelligent social network of users and appliances which is able to provide intelligent responses to the needs of the users. In this paper we focus on one incrasingly common appliance in the european homes: the bread-maker. There are a number of satisfaction parameters which can be specified b

Instinctive

Random Forests and Gradient Boosting for Wind Energy Predictiona number of classification and regression problems. Moreover, when trees are used as learners, the relative simplicity of the resulting models has led to a renewed interest on them on Big Data problems. In this work we will study the application of Random Forest Regression (RFR) and Gradient Boosted

painkillers

Agent-Based Web Resource Acquisition System for Scientific Knowledge Basefic resources for common University Knowledge Base. This module was designed and developed under the SYNAT research project. The module uses common logical data interface developed for this purpose and is integrated with the user presentation layer of the Knowledge Base from the Warsaw University of