Big Data Adoption Factors and Development Methodologies: A Multiple Case Study Analysis
AB Alnafoosi, O Adelakun - … Methodologies for Big Data Analytics Systems …, 2023 - Springer
Data is one of the most valuable resources in any organization. Big data primarily provides
access to the data's often untapped potential. In this research, there are two main focal …
access to the data's often untapped potential. In this research, there are two main focal …
Electricity Load Forecasting with Collective Echo State Networks
S Liu, C Xu, Y Liu, D Katramatos… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Short-term load forecasting (STLF) is one of the most important tasks in power grid systems.
Despite thorough research of STLF on community scales, predicting individual power …
Despite thorough research of STLF on community scales, predicting individual power …
Empirical assessment of big data technology adoption factors for organizations with data storage systems
AB Alnafoosi - 2023 - via.library.depaul.edu
Many organizations have on-premises data storage systems. Data storage systems are
evolving in multiple ways. One way is the adoption of Big Data. Big Data is a data storage …
evolving in multiple ways. One way is the adoption of Big Data. Big Data is a data storage …
Deep Learning with Relational Interconnections
S Liu - 2020 - search.proquest.com
This work presents the theoretical analysis and applications of deep neural networks
integrated with relational structure processing. Two novel algorithms are proposed in the …
integrated with relational structure processing. Two novel algorithms are proposed in the …