Results 101 to 110 of about 23,694,558 (297)

PEMODELAN DATA WAREHOUSE PADA JURUSAN TEKNIK INFORMATIKA UNIKOM [PDF]

, 2014
Informasi sangat dibutuhkan tidak hanya sebagai hasil rekapitulasi saja akan tetapi suatu informasi dapat digunakan untuk membantu dalam proses pengambilan keputusan bagi pihak manajerial maupun eksekutif.
Mukharil Bachtiar, Adam, Dharmayanti, Dian, Heryandi, Andri   +2 more
core  

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

ANALISIS DAN PERANCANGAN DATA WAREHOUSE [PDF]

, 2010
Tujuan dari penelitian ini adalah untuk menganalisa dukungan basis data dalam membantu pangambilan keputusan, mengidentifikasi kebutuhan dan merancang data warehouse.Dengan dukungan data warehouse, pimpinan perusahaan dapat lebih terbantu dalam ...
Choirul, Huda, Bram, Pangestu, Jimmy, Lai   +2 more
core   +2 more sources

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Data Warehouse Design and Management: Theory and Practice [PDF]

The need to store data and information permanently, for their reuse in later stages, is a very relevant problem in the modern world and now affects a large number of people and economic agents.
Michele Perilli, Michelangelo De Bonis, Crescenzio Gallo   +2 more
core  

Taguchi–Bayesian Sampling: A Roadmap for Polymer Database Construction Toward Small Representative Machine Learning

Advanced Intelligent Discovery, EarlyView.
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley   +1 more source

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

DATA WAREHOUSE AND DATA MINING - DATABASES NEXT STEP [PDF]

Annals of the University of Oradea: Economic Science, 2010
Data Warehouses and Data Mining are indispensable and inseparable parts for modern organization. Organizations will create data warehouses in order for them to be used by business executives to take important decisions.
BURTESCU Claudia, BURTESCU Emil
doaj  

Drilling Material Data Warehouse ETL System Research Based on Crowd-Sourcing

MATEC Web of Conferences, 2018
Drilling material data warehouse is an important platform for assisting drilling engineering decision support and data analysis. The construction of high-efficiency and high-quality enterprise-level data warehouse puts high requirements on data quality ...
Zhou Jie, Fang Ming, Cao Xin-ran
doaj   +1 more source