Results 191 to 200 of about 130,593 (297)
Analisis Dan Perancangan Data Warehouse Sebagai Alat Untuk Monitoring Jalannya Proses Bisnis
Sutiyono Sutiyono, Didi Rosiyadi
openalex +2 more sources
Data Warehouse Methodology: A Process Driven Approach [PDF]
Claus Kaldeich, Jorge Oliveira e Sá
openalex +1 more source
Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks
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 +2 more
wiley +1 more source
Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring
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 +13 more
wiley +1 more source
APPLIED DATA WAREHOUSE AND DATA VISUALIZATION IN AQUACULTURE DATA MANAGEMENT IN TRA VINH PROVINCE
An Bao Nguyen +2 more
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In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun +8 more
wiley +1 more source
ABACUS: A Distributed Middleware for Privacy Preserving Data Sharing Across Private Data Warehouses [PDF]
Fatih Emekçi +2 more
openalex +1 more source
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu +5 more
wiley +1 more source

