Results 21 to 30 of about 309,755 (267)

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

Advanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu, Mouyang Cheng, Nguyen Tuan Hung, Eunbi Rha, Zhantao Chen, Ryotaro Okabe, Denisse Córdova Carrizales, Manasi Mandal, Yongqiang Cheng, Mingda Li   +9 more
wiley   +1 more source

Schema Independent Relational Learning

, 2017
Learning novel concepts and relations from relational databases is an important problem with many applications in database systems and machine learning. Relational learning algorithms learn the definition of a new relation in terms of existing relations ...
Abiteboul S., Anderson M., Arias M., Kraska T., Muggleton S., Muggleton S., Muggleton S., Yin X.   +7 more
core   +1 more source

A Comparison between Relational Databases and NoSQL Databases [PDF]

International Journal of Trend in Scientific Research and Development, 2018
Databases are used for storing and managing large amounts of data. Relational model is useful when it comes to reliability but when it comes to the modern applications dealing with large amounts of data and the data is unstructured non relational models are usable. NoSQL databases are used to store large amounts of data.
openaire   +2 more sources

Biomolecular Interaction Prediction: The Era of AI

Advanced Science, EarlyView.
This review offers a thorough examination of recent progress in deep learning for predicting biomolecular interactions, including those involving proteins, nucleic acids, and small molecules. It covers data processing strategies, representative model architectures, and evaluation metrics, while highlighting current methodological limitations.
Haoping Wang, Xiangjie Meng, Yang Zhang
wiley   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

Advanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

Advanced Intelligent Systems, EarlyView.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu, Jingcheng Yang, Xiaofei Li, Zhijie Zheng, Georgi Z. Genchev, Yuchen Ye, Liang Liu, Zihan Ran   +7 more
wiley   +1 more source

Deductive Optimization of Relational Data Storage

, 2020
Optimizing the physical data storage and retrieval of data are two key database management problems. In this paper, we propose a language that can express a wide range of physical database layouts, going well beyond the row- and column-based methods that
Feser, John K., Madden, Samuel, Solar-Lezama, Armando, Tang, Nan   +3 more
core   +1 more source

Tumor Auxiliary Prediction Strategy Based on Multiscale Feature Fusion in Medical Decision‐Making System

Advanced Intelligent Systems, EarlyView.
GA: MCFFS method architecture. Pathological images are processed by the multi‐level feature information fusion (MLFF) method and the multi‐scale feature map fusion strategy to achieve the recognition result of cell nuclei. The MLFF module contains convolution blocks, spatial self‐attention, and atrous spatial pyramid pooling.
Yingqing Lu, Jing Zhou, Fangfang Gou, Jia Wu   +3 more
wiley   +1 more source

A relation merging technique for relational databases [PDF]

[1992] Eighth International Conference on Data Engineering, 2003
A merging technique for relational schemas consisting of relation-schemes, key dependencies, referential integrity constraints, and null constraints is presented. The author examines the conditions required for using this technique with relational database management systems that provide different mechanisms for maintaining null and referential ...
openaire   +3 more sources

Homelessness and Housing Instability Among Care Leavers in Australia: Exploring Housing Pathways and Best Practice Housing Models

Australian Journal of Social Issues, EarlyView.
ABSTRACT A significant proportion of young people exiting Out‐of‐Home Care (OOHC) encounter substantial challenges in securing housing, often leading to homelessness within a few months after leaving care. All Australian jurisdictions have now approved extended care programs up to 21 years; however, none of them currently offer these young people ...
Yujie Zhao, Jacinta Waugh
wiley   +1 more source