This study uses natural language processing (NLP) techniques to analyze the political discourse of the surprise presidential candidate, focusing on linguistic patterns, sentiment distribution, and recurring themes. This study addresses the problem of how TikTok virality and algorithmic...

Artificial intelligence (AI) is transforming the way businesses operate, enabling entrepreneurs to achieve diagnoses that were once only possible for large companies. This transformation is evident in digital advertising, where AI not only enables advanced analytics, but also offers the...

The adverse effects of carbon emissions have garnered significant attention from the international community. Against this backdrop, China has set the dual carbon target and taken concrete actions to achieve it. This study integrates Shared Socioeconomic Pathways with machine-learning...

Effective long-term energy forecasting is essential for efficient management of large institutions like university campuses, yet traditional forecasting methods frequently fall short in capturing complex consumption behaviors. To bridge this gap, this study introduces an advanced machine...

Employers are adopting and refining artificial intelligence (AI) and algorithm-based tools in the workplace, with wide-ranging implications for work and employment. This working paper examines case studies of social dialogue on AI at national, regional, sectoral, company, and workplace levels in...

This study proposes a novel approach to improve the reliability of trading signals for gold market prediction by integrating technical analysis indicators, Moving Averages (MAs), MACD, and Ichimoku Cloud, with a Particle Swarm-Optimized Extreme Learning Machine (PSO-ELM). Traditional time-series...