Results 61 to 70 of about 34,160 (311)

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Perancangan Sistem Enterprise Resource Planning Modul Sales Pada Distributor Beras Ud Manis

open access: yesJurnal Teknik Industri, 2014
UD Manis is a rice distributor in Lamongan. The problem faced by UD Manis is having no information system for notifying stock in warehouse and customer order although company has used MS Access database.
Dana Marsetiya Utama, Ferry Yulianto
doaj   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz   +2 more
wiley   +1 more source

Model Data Warehouse dan Business Intelligence untuk Meningkatkan Penjualan pada PT. S

open access: yesComTech, 2011
Today a lot of companies use information system in every business activity. Every transaction is stored electronically in the database transaction. The transactional database does not help much to assist the executives in making strategic decisions to ...
Rudy Rudy, Natalia Limantara
doaj   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

open access: yesAdvanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour   +5 more
wiley   +1 more source

A business-oriented approach to data warehouse development

open access: yesIngeniería e Investigación, 2013
Several surveys have indicated that many data warehouses fail to meet business objectives or are outright failures. One reason for this is that requirement engineering is typically overlooked in real projects.
Ania Cravero Leal   +2 more
doaj  

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender   +2 more
wiley   +1 more source

THE DEVELOPMENT OF THE APPLICATION OF A DATA WAREHOUSE AT PT JKL

open access: yesCommIT Journal, 2012
One rapidly evolving technology today is information technology, which can help decision-making in an organization or a company. The data warehouse is one form of information technology that supports those needs, as one of the right solutions for ...
Choirul Huda   +3 more
doaj   +1 more source

Desenvolvimento de um modelo matemático para dimensionamento de armazéns com estruturas porta paletes [PDF]

open access: yes, 2014
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Produção, Florianópolis, 2014.Nos últimos anos, a logística se tornou fundamental para o sucesso nos negócios empresariais, pois ela
Tondato, Rogério
core  

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali   +5 more
wiley   +1 more source

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