Results 71 to 80 of about 7,062 (219)
Екстракція структурованих даних з Web-ресурсів
В статті запропоновано опис і обґрунтування програмного інструментарію на основі асинхронних можливостей платформи .NET та динамічної структури бази даних MongoDb для екстракції даних з Web-ресурсів в форматі HTML.
Світлана Ігорівна Шаповалова
doaj +1 more source
Blockchain and NoSQL: Enhancing Throughput via a Deep Learning‐Based Hybrid Architecture
ABSTRACT Any data structure used to store information can be considered a database. Blockchain technology, at its core, is no more than a ledger to store information about transactions. In recent years, such technology has gained immense popularity in a wide range of applications.
Longo Antonello +4 more
wiley +1 more source
RUNTIME PERFORMANCE BENCHMARKING FOR NOSQL DATABASES
An experimental study regarding the performance of NoSQL database management systems is presented in this paper. In this study, two NoSQL database management systems (MongoDB and Cassandra) were compared, and the following factors were considered ...
Camelia-Florina ANDOR, Bazil PÂRV
doaj +1 more source
Structural biology at the National Synchrotron Light Source II
We describe the structural biology resources available at the National Synchrotron Light Source II at Brookhaven National Laboratory and ponder the future for automated experiments, micro‐focusing crystallography and structure prediction to inform structural biology studies.The structural biology program at the National Synchrotron Light Source II ...
J. Aishima +19 more
wiley +1 more source
ABSTRACT Instant messenger Telegram has emerged as a favoured platform for far‐right activism, conspiracy theories, political propaganda, and misinformation, which has its own target audience. This study explores the application of multilingual pre‐trained language models to detect and measure toxicity in political content on Telegram channels.
Arsenii Tretiakov +3 more
wiley +1 more source
The Internet of Things (IoT) introduces a new challenge for Database Management Systems (DBMS). In IoT, large numbers of sensors are used in daily lives.
Mahmoud Moustafa Eyada +3 more
doaj +1 more source
Abstract When undertaking complex search scenarios, the underlying information need cannot be satisfied by finding a single optimal resource; instead, searchers need to engage in exploratory search processes to find multiple resources by iteratively revising and reformulation their queries.
Mohammad Hasan Payandeh +4 more
wiley +1 more source
Machine Learning‐Powered Optimization of a CHO Cell Cultivation Process
This study investigated the use of a machine learning algorithm to optimize the cultivation of CHO cells used to produce therapeutic monoclonal antibodies. Richter and coworkers developed an artificial neural network that was trained on a very diverse dataset of historical and new cultivation data to find better cultivation conditions. After validation
Jannik Richter +7 more
wiley +1 more source
Abstract The enhanced variation of the magnetic field during severe to extreme geomagnetic storms induces a large geoelectric field in the subsurface. Grounded infrastructure can be susceptible to geomagnetically induced currents (GICs) during these events.
C. D. Beggan +12 more
wiley +1 more source
An Adaptive Scalable Data Pipeline for Multiclass Attack Classification in Large-Scale IoT Networks
The current large-scale Internet of Things (IoT) networks typically generate high-velocity network traffic streams. Attackers use IoT devices to create botnets and launch attacks, such as DDoS, Spamming, Cryptocurrency mining, Phishing, etc.
Selvam Saravanan +1 more
doaj +1 more source

