Results 141 to 150 of about 331,075 (300)

The Importance of Database Design and Normalization Process

Türk Kütüphaneciliği, 2014
Database management systems are major tools which provide management of or­ganizations’ operational data via computers. However their efficient usage de­pends on how well database tables are organized.
Tülay Fenerci
doaj  

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Normalization in Relational Fields

This work explores the phenomenon of normalization within Relational Fields — domains where awareness, recursion, and convergence inherently operate. Although 'awareness' is not explicitly named in every structure described, it remains the underlying coherence binding relational phenomena.
openaire   +2 more sources

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Consiliul pentru Problemele Bisericii Ortodoxe Ruse de pe lângă Consiliul de Miniştri al URSS (1943-1965) - un organ de legătură dintre Stat şi Biserică / The Council for the Affairs of the Russian Orthodox Church at the Council of Ministers of the USSR (1943-1965) - a special body for communication between the State and the Church

Tyragetia, 2015
Normalization of relations between the Church and the State during the war led to the need to create a special body to establish relations between the State and the Russian Orthodox Church.
Nicolae Fuştei
doaj  

SCP‐Pose: Leveraging Structural Consistency Prior Knowledge for Real‐Time Category‐Level 6D Pose Estimation

Advanced Intelligent Systems, EarlyView.
This paper presents a high‐speed object pose estimation method that deconstructs objects into geometric components. Inspired by human cognitive generalization, it detects these primitives and infers the 6D pose from their stable spatial configuration.
Xuyang Li, Mingxuan Yu, Xuemei Xie, Zhaozhuo An, Qiyue Li, Xiaodan Song, Guangming Shi   +6 more
wiley   +1 more source

The Conciliation Mission Historical Role in the Normalization of Franco-Caledonian Relations before 1988 Matignon Agreements

Vestnik RUDN. International Relations, 2011
The most important period of French state and political elite concept towards New Caledonia in the late 1980's is studied. The impact of the French military doctrine in 1987-1991, concerning the nuclear weapon testing in the South Pacific region is ...
A V Okhrimenko
doaj  

OntoLogX: Ontology‐Guided Knowledge Graph Extraction From Cybersecurity Logs With Large Language Models

Advanced Intelligent Systems, EarlyView.
OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti, Idilio Drago, Anisa Rula, Devis Bianchini, Federico Cerutti   +4 more
wiley   +1 more source

Transformer-based relation extraction and concept normalization using an annotated clinical trials corpus. [PDF]

Sci Data
Campillos-Llanos L, Valverde-Mateos A, Capllonch-Carrión A, González-Quevedo D, López-Urbán MR, Hernando-Tundidor MS, Zakhir-Puig S, Heras J.   +7 more
europepmc   +1 more source