Classification of various image fusion algorithms and their performance evaluation metrics

S Singh, N Mittal, H Singh - Computational Intelligence for Machine …, 2020 - degruyter.com
Image fusion is the process of enhancing the perception of a vision by combining substantial
information captured by different sensors, different exposure values, and at different focus …

Design of a data warehouse model for decision support at higher education: A case study

IM Aljawarneh - Information Development, 2016 - journals.sagepub.com
The expansion of higher education (HE) institutions and their increased emphasis on
strategic planning have raised the demand for integrated information systems that can …

Data warehouse design methods review: trends, challenges and future directions for the healthcare domain

C Khnaisser, L Lavoie, H Diab, JF Éthier - New Trends in Databases and …, 2015 - Springer
In secondary data use context, traditional data warehouse design methods don't address
many of today's challenges; particularly in the healthcare domain were semantics plays an …

Empirical validation of requirements traceability metrics for requirements model of data warehouse using SVM

T Singh, M Kumar - 2020 IEEE 17th India Council International …, 2020 - ieeexplore.ieee.org
Data warehouse stores historical information, which is used by managers to take
organizational decisions. Thus, information quality of data warehouse becomes important …

Comprehensive complexity metric for data warehouse multidimensional model understandability

A Gosain, J Singh - IET Software, 2020 - Wiley Online Library
Data warehouse quality can be determined during the initial phases of data warehouse
development by quantifying the structural complexity of multidimensional models using …

Executable Models and Instance Tracking for Decentralized Applications on Blockchains and Cloud Platforms--Metamodel and Implementation

F Härer - arxiv preprint arxiv:2303.09840, 2023 - arxiv.org
Decentralized applications rely on non-centralized technical infrastructures and coordination
principles. Without trusted third parties, their execution is not controlled by entities exercising …

Quality metrics for data warehouse multidimensional models with focus on dimension hierarchy sharing

A Gosain, J Singh - Advances in intelligent informatics, 2015 - Springer
Data warehouses, based on multidimensional models, have emerged as powerful tool for
strategic decision making in the organizations. So it is crucial to assure their information …

Empirical investigation of dimension hierarchy sharing-based metrics for multidimensional schema understandability

A Gosain, J Singh - International Journal of Intelligent …, 2019 - inderscienceonline.com
Over the last years, quality has gained lot of importance in the development of data
warehouse systems. Predicting understandability of multidimensional schemas could play a …

[PDF][PDF] Modeling and automatic generation of data warehouse using model-driven transformation in business intelligence process

R Esbai, S Hakkou, MA Habri - Indonesian Journal of Electrical …, 2023 - academia.edu
The work presented in this paper focuses on the modeling and implementation of business
intelligence processes, specifically how to apply model-driven architecture (MDA) …

[PDF][PDF] Towards a new automatic data warehouse design method.

N El Moukhi, I El Azami, A Mouloudi… - E-Ti: Electronic …, 2019 - researchgate.net
Nowadays, the data warehouse is recognized as the essential component of decision
support systems since it ensures the best response to the decision problems of different …