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Stabilization and tracking control of underactuated ball and beam system using metaheuristic optimization based TID-F and PIDD2-PI control schemes.

PloS one
In this paper, we propose two different control strategies for the position control of the ball of the ball and beam system (BBS). The first control strategy uses the proportional integral derivative-second derivative with a proportional integrator P...

Comparative analysis of GAN-based fusion deep neural models for fake face detection.

Mathematical biosciences and engineering : MBE
Fake face identity is a serious, potentially fatal issue that affects every industry from the banking and finance industry to the military and mission-critical applications. This is where the proposed system offers artificial intelligence (AI)-based ...

A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China.

Journal of environmental management
Accurately predicting carbon trading prices using deep learning models can help enterprises understand the operational mechanisms and regulations of the carbon market. This is crucial for expanding the industries covered by the carbon market and ensu...

Dynamics of labor and capital in AI vs. non-AI industries: A two-industry model analysis.

PloS one
There is an imbalance in the development of artificial intelligence between industries. Compared to non-AI enterprise, AI- enterprise will save labor, enhance innovation capabilities, and improve production efficiency. By constructing a two-industry ...

Analyzing the influential factors of process safety culture by hybrid hidden content analysis and fuzzy DEMATEL.

Scientific reports
Due to the complex nature of safety culture and process industries, several factors influence process safety culture. This paper presents a novel framework that combines the hidden content analysis method with Decision Making Trial and Evaluation Lab...

Chatbots and Large Language Models in Radiology: A Practical Primer for Clinical and Research Applications.

Radiology
Although chatbots have existed for decades, the emergence of transformer-based large language models (LLMs) has captivated the world through the most recent wave of artificial intelligence chatbots, including ChatGPT. Transformers are a type of neura...

Alternative methods go green! Green toxicology as a sustainable approach for assessing chemical safety and designing safer chemicals.

ALTEX
Green toxicology is marching chemistry into the 21st century. This emerging framework will transform how chemical safety is evaluated by incorporating evaluation of the hazards, exposures, and risks associated with chemicals into early product develo...

Digital Innovations for Occupational Safety: Empowering Workers in Hazardous Environments.

Workplace health & safety
BACKGROUND: The quest to increase safety awareness, make job sites safer, and promote decent work for all has led to the utilization of digital technologies in hazardous occupations. This study investigated the use of digital innovations for safety a...

Updating design guidelines for cognitive ergonomics in human-centred collaborative robotics applications: An expert survey.

Applied ergonomics
Within the framework of Industry 5.0, human factors are essential for enhancing the work conditions and well-being of operators interacting with even more advanced and smart manufacturing systems and machines and increasing production performances. N...

Exploring the role of large language models in radiation emergency response.

Journal of radiological protection : official journal of the Society for Radiological Protection
In recent times, the field of artificial intelligence (AI) has been transformed by the introduction of large language models (LLMs). These models, popularized by OpenAI's GPT-3, have demonstrated the emergent capabilities of AI in comprehending and p...