Results 191 to 200 of about 2,504,885 (377)
Transaction Overhead Reduction by Server Localization in Bank Database Management Systems
K. Sriraghav+3 more
openalex +1 more source
MAFIA: a maximal frequent itemset algorithm for transactional databases [PDF]
Doug Burdick+2 more
openalex +1 more source
Rationally Design Thermoelectric Materials Based on Ingenious Machine Learning Methods
A machine learning framework is developed to accurately predict thermoelectric performance of materials. By combining high‐quality data, advanced feature engineering, and machine learning, the model identifies promising candidates like CsCdBr3 and TlBSe3.
Yuqing Sun+4 more
wiley +1 more source
A Blockchain Framework for Scalable, High-Density IoT Networks of the Future. [PDF]
Maftei AA+3 more
europepmc +1 more source
Transactional databases redundancy reduction approach using simple data mining technique
openalex +1 more source
Machine learning applications in Li‐ion batteries. Abstract Technology for lithium‐ion batteries (LIBs) is developing rapidly, which is essential to modern devices and renewable energy sources. The latest development focuses on the optimization of cathode materials, which is critical in determining battery performance and durability.
Adil Saleem+3 more
wiley +1 more source
Sliding window based rare partial periodic pattern mining algorithms over temporal data streams. [PDF]
Upadhya KJ+7 more
europepmc +1 more source
Hash based Approach for Mining Frequent Item Sets from Transactional Databases
UMohan Srinivas+2 more
openalex +2 more sources
The Haber Bosch Catalyst from Solid state Chemistry to Mesotechnology
A comprehensive, multi‐scale, multi‐modal study of the structural diversity of a technical multi‐promoted Haber Bosch catalyst for ammonia synthesis is provided. The different contributions of ammonia Fe are revealed and the presence of cement phases that have yet not been incorporated into discussions on the function of this catalyst system is shown ...
Kassiogé Dembélé+20 more
wiley +1 more source
Bitcoin research with a transaction graph dataset. [PDF]
Schnoering H, Vazirgiannis M.
europepmc +1 more source