Results 51 to 60 of about 23,631,400 (298)
Towards Trajectory Data Warehouses
Data warehouses have received the attention of the database community as a technology for integrating all sorts of transactional data, dispersed within organisations whose applications utilise either legacy (non-relational) or advanced relational ...
M.L. Damiani +18 more
core +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
In the early stages of a data warehouse project, the designers/administrators have to come up with a decision concerning the design and deployment of the back-stage architecture. The possible options are (a) the usage of a commercial ETL tool, or (b) the development of an in-house ETL prototype. Both cases have advantages and disadvantages. However, in
Simitsis, Alkis +3 more
openaire +3 more sources
Schema Versioning in Data Warehouses [PDF]
As several mature implementations of data warehousing systems are fully operational, a crucial role in preserving their up-to-dateness is played by the ability to manage the changes that the data warehouse (DW) schema undergoes over time in response to evolving business requirements.
GOLFARELLI, MATTEO +3 more
openaire +2 more sources
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Desenvolvendo data warehouses baseados em intranet [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Ciência da Computação.O objetivo deste trabalho é estudar e conhecer a tecnologia de Data warehouse para que ele possa ajudar os empresários
Dutra, Alessandra Costa Smolenaars
core
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
A Multi-Agent Approach for the Extract-Transform-Load Process Support in Data Warehouses
In order to provide an adequate solution in terms of robustness and automation in the process of Extract-Transform-Load (ETL) in data warehouses, in this article a multi-agent model that gathers the strengths of other approaches like wrappers and ad-hoc ...
Daniel Betancur-Calderón +1 more
doaj
The advancement of e-commerce marketplace applications has made small and medium entrepreneurs (SMEs) in the e-commerce sector, grow rapidly in the current Era Industrial Revolution 4.0 Era.
Yusup Rachmat Hidayat +2 more
doaj +1 more source
Design process for Big Data Warehouses
Big Data Warehouses differ substantially from traditional data warehouses in that their schema should be based on novel logical models that allow more flexibility than that the relational model does.
Ezio Lefons +5 more
core +1 more source

