AIMC Topic: Politics

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A Hard Voting Policy-Driven Deep Learning Architectural Ensemble Strategy for Industrial Products Defect Recognition and Classification.

Sensors (Basel, Switzerland)
Manual or traditional industrial product inspection and defect-recognition models have some limitations, including process complexity, time-consuming, error-prone, and expensiveness. These issues negatively impact the quality control processes. There...

Beliefs and Practice Evaluation Based on Artificial Intelligence Models under the IP Environment.

Journal of environmental and public health
The digitization of thought theory is not yet sufficient to meet the needs of the students. It is very necessary to strengthen the construction of ideological and political (IP) courses, strengthen the education of mainstream ideology, and occupy the...

Exploring Online Teaching Design of Curriculum Politics by Deep Learning and Visual Sensing Technology.

Computational intelligence and neuroscience
The study aims to explore the online teaching design of ideological and political education (IPE). Based on the relevant theories of deep learning (DL) and visual sensing, the students of a Chinese University are taken as the research samples and inv...

Conservatism predicts aversion to consequential Artificial Intelligence.

PloS one
Artificial intelligence (AI) has the potential to revolutionize society by automating tasks as diverse as driving cars, diagnosing diseases, and providing legal advice. The degree to which AI can improve outcomes in these and other domains depends on...

Performance of Machine Learning-Based Multi-Model Voting Ensemble Methods for Network Threat Detection in Agriculture 4.0.

Sensors (Basel, Switzerland)
The upcoming agricultural revolution, known as Agriculture 4.0, integrates cutting-edge Information and Communication Technologies in existing operations. Various cyber threats related to the aforementioned integration have attracted increasing inter...

A Novel Machine Learning Framework for Comparison of Viral COVID-19-Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis.

Journal of medical Internet research
BACKGROUND: Social media plays a critical role in health communications, especially during global health emergencies such as the current COVID-19 pandemic. However, there is a lack of a universal analytical framework to extract, quantify, and compare...

GODoc: high-throughput protein function prediction using novel k-nearest-neighbor and voting algorithms.

BMC bioinformatics
BACKGROUND: Biological data has grown explosively with the advance of next-generation sequencing. However, annotating protein function with wet lab experiments is time-consuming. Fortunately, computational function prediction can help wet labs formul...

A scalable machine learning approach for measuring violent and peaceful forms of political protest participation with social media data.

PloS one
In this paper, we introduce a scalable machine learning approach accompanied by open-source software for identifying violent and peaceful forms of political protest participation using social media data. While violent political protests are statistic...

An efficient semi-supervised community detection framework in social networks.

PloS one
Community detection is an important tasks across a number of research fields including social science, biology, and physics. In the real world, topology information alone is often inadequate to accurately find out community structure due to its spars...

Artificial Intelligence and the 'Good Society': the US, EU, and UK approach.

Science and engineering ethics
In October 2016, the White House, the European Parliament, and the UK House of Commons each issued a report outlining their visions on how to prepare society for the widespread use of artificial intelligence (AI). In this article, we provide a compar...