Results 81 to 90 of about 4,047 (208)
This review proposes using machine learning (ML) and large language models (LLMs) to circumvent performance variabilities in chemical vapour deposition graphene coatings for corrosion resistance. ML optimises synthesis parameters, predicting quality metrics, for example, defect density and layer count, and LLMs structure complex literature data via a ...
Pragyan Goswami +2 more
wiley +1 more source
SPARQLing Neo4J (Short Paper).
The growth experienced by the internet in the past few years as lead to an increased amount of available data and knowledge obtained from said data. However most of this knowledge is lost due to the lack of associated semantics making the task of interpreting data very hard to computers.
Ezequiel José Veloso Ferreira Moreira +1 more
openaire +3 more sources
If you are already using Neo4j in your application and want to learn more about data analysis or database graphs, this is the book for you. This book also caters for your needs if you are looking to migrate your existing application to Neo4j in the ...
Goel, Ankur
core
Cryptanalysis of the SIMON Cypher Using Neo4j
The exponential growth in the number of Internet of Things (IoT) devices has seen the introduction of several Lightweight Encryption Algorithms (LEA). While LEAs are designed to enhance the integrity, privacy and security of data collected and transmitted by IoT devices, it is hazardous to assume that all LEAs are secure and exhibit similar levels of ...
Jonathan Cook 0005 +2 more
openaire +4 more sources
Wykorzystanie grafowej bazy danych Neo4j do analizy sieci społecznych
This article describes how Neo4j database capabilities can be utilized to implement measures often used in social network analysis. It gives a brief overview of the concept of Neo4j graph database.
Warchał, Łukasz
core +1 more source
Fog Computing and Graph-Based Databases for Remote Health Monitoring in IoMT Settings
Remote patient monitoring is a promising and transformative pillar of healthcare. However, deploying such systems at a scale—across thousands of patients and Internet of Medical Things (IoMT) devices—demands robust, low-latency, and scalable storage ...
Karrar A. Yousif +2 more
doaj +1 more source
RGloVe: An Improved Approach of Global Vectors for Distributional Entity Relation Representation
Most of the previous works on relation extraction between named entities are often limited to extracting the pre-defined types; which are inefficient for massive unlabeled text data.
Ziyan Chen +5 more
doaj +1 more source
A Graph Database of Aegean Seals with Uncertain Attributes
To facilitate the application of network analysis for the study of multi-sided Aegean seals, a graph database was implemented in Neo4j.
Martina Trognitz
doaj +1 more source
Ekstraksi Basis Pengetahuan Ke Dalam Basisdata Graf Menggunakan Graf Property
Salah satu jenis commonsense knowledge adalah basis pengetahuan, yaitu kumpulan fakta dan informasi umum yang diketahui manusia. Basis pengetahuan yang tersedia sangat banyak, kami memilih Yago karena Yago menggabungkan beberapa sumber data menjadi ...
Wahyudi Wahyudi, Fajril Akbar
doaj +1 more source
Integrating Graph Database and Complex Network for Space–Time Evolution Analysis in Airline Industry
Analyzing transport networks in the airline industry is challenging due to the massive volume of highly interconnected and dynamic data generated by modern air transport systems.
Assia Kamal-Idrissi +3 more
doaj +1 more source

