IEEE

A Distributed Neural Hybrid System Learning Framework in Modeling Complex Dynamical Systems

Abstract: In this article, a distributed neural network modeling framework including a novel neural hybrid system model is proposed for enhancing the scalability of neural network models in modeling ...
International Monetary Fund

A Python Package to Assist Macroframework Forecasting: Concepts and Examples

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation In forecasting economic time series, statistical models often need to be complemented with a process to impose various ...
Frontiers

Generative AI in consumer health: leveraging large language models for health literacy and clinical safety with a digital health framework

1 Independent Researcher, Park City, UT, United States 2 Department of Orthopaedics, Rush University Medical Center, Chicago, IL, United States Generative AI, powered by large language models, is ...
Hacker

How to Build a Modular Selenium + Cucumber Framework in Java

Rama Mallika Kadali is a QA Automation Test Lead with over 15 years of experience in software testing and automation. Rama Mallika Kadali is a QA Automation Test Lead with over 15 years of experience ...
Harvard Business Review

A New Framework for Going Viral

Not long ago, “going viral” was the gold standard for marketers. A viral campaign meant unprecedented reach, engagement, and brand awareness. The 2012 “Dumb Ways to Die” campaign by Metro Trains in ...
Scientific Research Publishing

Belkin, M., Niyogi, P. and Sindhwani, V. (2006) Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples. Journal of Machine Learning ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...
IEEE

1+1>2: A Dual-Function Defense Framework for Adversarial Example Mitigation

Abstract: Current state-of-the-art plug-and-play countermeasures for mitigating adversarial examples (i.e., purification and detection) exhibit several fatal limitations, impeding their deployment in ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
GitHub

Selenium + TestNG + Cucumber UI Automation Framework

Hybrid UI test automation framework using Java, Selenium WebDriver, TestNG, and Cucumber. Includes data-driven tests, page object model, rich reports, and TestNG suite profiles. src/main/java ├── ...
GitHub

[ Bug]: Conda Python Selenium 4.27.0 missing remote/getAttribute.js and other js files

I have updated my Conda environment and upgraded to selenium 4.27. When running my test, I get an error that the js files are missing in selenium/webdriver/remote. I ...
EurekAlert!

New framework for identifying material coatings that can be used in nuclear reactors finds alternative to nickel-based alloys

A better framework to optimize discovery of materials suitable for use in nuclear reactors could help the U.S. meet its clean energy goals. Nickel-based alloys, critical materials used in many ...