Results 101 to 110 of about 282,298 (328)
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley +1 more source
The purpose of this study is to analyze sales data from warehouse to distributors, identification of distributor status, and extension periods of active distributors.
Gredion Prajena
doaj +1 more source
Evaluating the reading performance of semi-passive RFID tags to enhance locating of warehouse resources: An experiment design [PDF]
Copyright @ 2011 8th European, Mediterranean and Middle Eastern Conference on Information Systems (EMCIS 2011)In the supply chain, a warehouse is a crucial component for linking all chain parties.
Aktas, E, Ali, M, Hassan, M
core
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Designing and Implementing an Object-relational Data Warehousing System [PDF]
B. Czejdo +3 more
openalex +1 more source
Flexible Memory: Progress, Challenges, and Opportunities
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
Context-based Data Quality Metrics in Data Warehouse Systems
The fact that Data Quality (DQ) depends on the context, in which data are produced, stored and used, is widely recognized in the research community. Data Warehouse Systems (DWS), whose main goal is to give support to decision making based on data, have ...
Flavia Serra, Adriana Marotta
doaj +1 more source
Semantic integrity in data warehousing : a framework for understanding : a thesis presented in partial fulfilment of the requirements for the degree of Masters of Business Studies in Information Systems at Massey University, Palmerston North, New Zealand [PDF]
Data modelling has gathered an increasing amount of attention by data warehouse developers as they come to realise that important implementation decisions such as data integrity, performance and meta data management, depend on the quality of the ...
Sampson, Jennifer Jane
core
Salvaging Information Engineering Techniques in the Data Warehouse Environment [PDF]
Anthony L. Politano
openalex +1 more source
Benchmarking Criteria for A Cloud Data Warehouse
Ebrahim Dashti +2 more
openalex +1 more source

