Artificial intelligence for decision making in the era of Big Data–evolution, challenges and research agenda
Artificial intelligence (AI) has been in existence for over six decades and has experienced AI
winters and springs. The rise of super computing power and Big Data technologies appear …
winters and springs. The rise of super computing power and Big Data technologies appear …
Topology discovery in software defined networks: Threats, taxonomy, and state-of-the-art
The fundamental role of the software defined networks (SDNs) is to decouple the data plane
from the control plane, thus providing a logically centralized visibility of the entire network to …
from the control plane, thus providing a logically centralized visibility of the entire network to …
[HTML][HTML] Combating the menace: A survey on characterization and detection of fake news from a data science perspective
Journalism has always remained a vital constituent of our society and journalists play a key
role in making people aware of the happenings and developments in society. This spread of …
role in making people aware of the happenings and developments in society. This spread of …
[HTML][HTML] An ontology model to represent aquaponics 4.0 system's knowledge
Aquaponics, one of the vertical farming methods, is a combination of aquaculture and
hydroponics. To enhance the production capabilities of the aquaponics system and …
hydroponics. To enhance the production capabilities of the aquaponics system and …
An automatic literature knowledge graph and reasoning network modeling framework based on ontology and natural language processing
With the advancement of scientific and engineering research, a huge number of academic
literature are accumulated. Manually reviewing the existing literature is the main way to …
literature are accumulated. Manually reviewing the existing literature is the main way to …
Knowledge modeling: A survey of processes and techniques
W Yun, X Zhang, Z Li, H Liu… - International Journal of …, 2021 - Wiley Online Library
Abstract Knowledge modeling is an important step in building knowledge‐based
applications. Understanding the processes of knowledge modeling and the techniques …
applications. Understanding the processes of knowledge modeling and the techniques …
Knowledge reuse for ontology modelling in Maintenance and Industrial Asset Management
Abstract Maintenance and Industrial Asset Management (AM) are fundamental business
processes in guaranteeing the availability of physical assets at minimum risk and cost, while …
processes in guaranteeing the availability of physical assets at minimum risk and cost, while …
Machine learning and CBR integrated mechanical product design approach
Y Huo, J Liu, J **ong, W **ao, J Zhao - Advanced Engineering Informatics, 2022 - Elsevier
Many works based on case-based reasoning (CBR) and rule-based reasoning (RBR) have
been done to obtain a product concept intelligently, but researches on automatic and …
been done to obtain a product concept intelligently, but researches on automatic and …
[HTML][HTML] Counterfactual inference to predict causal knowledge graph for relational transfer learning by assimilating expert knowledge--Relational feature transfer …
J Li, Y Horiguchi, T Sawaragi - Advanced Engineering Informatics, 2022 - Elsevier
Transfer learning (TL) is a machine learning (ML) method in which knowledge is transferred
from the existing models of related problems to the model for solving the problem at hand …
from the existing models of related problems to the model for solving the problem at hand …
Neuro-linguistic-programming: a critical review of NLP research and the application of NLP in coaching
The huge popularity of Neuro-Linguistic Programming (NLP) over the past three decades
has in some ways mirrored the growth in coaching psychology. This paper is part of a series …
has in some ways mirrored the growth in coaching psychology. This paper is part of a series …