Search
ISSN:
eISSN:
Disciplines
(Field of Science):
- automation, electronics, electrical engineering and space technologies (Engineering and Technology)
- information and communication technology (Engineering and Technology)
- safety engineering (Engineering and Technology)
- biomedical engineering (Engineering and Technology)
- civil engineering, geodesy and transport (Engineering and Technology)
- mechanical engineering (Engineering and Technology)
- environmental engineering, mining and energy (Engineering and Technology)
- economics and finance (Social studies)
- management and quality studies (Social studies)
- educational sciences (Social studies)
- international relations (Social studies)
- computer and information sciences (Natural sciences)
(Field of Science)
Ministry points: Help
| Year | Points | List |
|---|---|---|
| Year 2024 | 70 | Ministry scored journals list 2024 |
| Year | Points | List |
|---|---|---|
| 2024 | 70 | Ministry scored journals list 2024 |
| 2023 | 70 | Ministry Scored Journals List |
| 2022 | 70 | Ministry Scored Journals List 2019-2022 |
| 2021 | 70 | Ministry Scored Journals List 2019-2022 |
| 2020 | 70 | Ministry Scored Journals List 2019-2022 |
| 2019 | 70 | Ministry Scored Journals List 2019-2022 |
| 2018 | 25 | A |
| 2017 | 25 | A |
| 2016 | 20 | A |
| 2015 | 25 | A |
| 2014 | 15 | A |
| 2013 | 20 | A |
| 2012 | 15 | A |
| 2011 | 15 | A |
| 2010 | 13 | A |
Model:
Points CiteScore:
| Year | Points |
|---|---|
| Year 2023 | 3.4 |
| Year | Points |
|---|---|
| 2023 | 3.4 |
| 2022 | 3.6 |
| 2021 | 2.9 |
| 2020 | 2.8 |
| 2019 | 2.6 |
| 2018 | 2.6 |
| 2017 | 2.6 |
| 2016 | 2 |
| 2015 | 1.5 |
| 2014 | 1.2 |
| 2013 | 1.2 |
| 2012 | 1.9 |
| 2011 | 2.1 |
Impact Factor:
Sherpa Romeo:
Papers published in journal
Filters
total: 9
Catalog Journals
Year 2019
-
Building collective intelligence through experience: a survey on the use of the KREM model
PublicationThis article presents a survey on the use of KREM, a generic knowledge-based framework for building collective intelligence through experience. After a discussion on the disadvantages of the traditional architecture used to deploy intelligent systems, the KREM architecture (Knowledge, Rules, Experience, Meta-Knowledge) is presented. The novelty of the proposal comes from the inclusion of the capitalisation of experience and the...
-
Comparison of the effectiveness of automatic EEG signal class separation algorithms
PublicationIn this paper, an algorithm for automatic brain activity class identification of EEG (electroencephalographic) signals is presented. EEG signals are gathered from seventeen subjects performing one of the three tasks: resting, watching a music video and playing a simple logic game. The methodology applied consists of several steps, namely: signal acquisition, signal processing utilizing z-score normalization, parametrization and...
-
Decisional DNA based intelligent knowledge model for flexible manufacturing system
PublicationModeling an effective mechanism for design and control strategies for the implementation of a flexible manufacturing system (FMS) has been a challenge. Consequently, to overcome this issue various techniques have applied in the past but most of these models are effective only for some specific situation or an element of FMS. In this study, the knowledge representation technique of Decisional DNA (DDNA) is applied to FMS to develop...
-
Establishing intelligent enterprise through community of practice for product innovation
PublicationThis paper presents the idea of implementing the virtual Community of Practice for Product Innovation processes towards the establishment of intelligent enterprise. Since the fourth industrial revolution is passing through the developing phase, implementation of Cyber-Physical Production Systems require more realistic approach. Knowledge Management and Engineering plays an important role in manufacturing industries facing global...
-
Experience based decisional DNA to support smart product design
PublicationThis paper presents the idea of Smart Virtual Product Development (SVPD) system to support product design. The foundations of the system are based upon smart knowledge management techniques called Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). It enhances the industrial product development process by using the previous experiential knowledge gathered from the formal decisional activities. This experiential...
Year 2017
-
Learning from examples with data reduction and stacked generalization
Publication -
Manufacturing collective intelligence by the means of Decisional DNA and virtual engineering objects, process and factory
PublicationEngineering collective intelligence is paramount in current industrial times. This research proposes and presents case studies for collective knowledge structures required in the industry field. Knowledge structures such as Set of Experience and Decisional DNA are extended into more advanced knowledge structures for manufacturing processes. These structures are called Virtual Engineering Object, Virtual Engineering Process and...
-
Towards neural knowledge DNA
PublicationIn this paper, we propose the Neural Knowledge DNA, a framework that tailors the ideas underlying the success of neural networks to the scope of knowledge representation. Knowledge representation is a fundamental field that dedicates to representing information about the world in a form that computer systems can utilize to solve complex tasks. The proposed Neural Knowledge DNA is designed to support discovering, storing, reusing,...
Year 2014
-
Smart experience engineering to support collaborative design problems based on constraints modelling
PublicationEngineering design is a knowledge intensive process. Experts' experiences from different product life-cycle stages play a key role in problem solving during design decision making by linking up knowledge to find better solutions for a specific design problem. Different approaches have been used to support Collaborative and Concurrent Product Design, such as Constraint Satisfaction Problem (CSP) modelling. Additionally, due to the...
seen 874 times