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There are increasingly many large language models (LLMs) available to the public. While these LLMs have exhibited impressive abilities on a variety of task, any individual LLM in particular may do well on some tasks and worse on others. Additionally, the ...

It may be tempting for researchers to stick to incremental extensions of their current work to plan future research activities. Yet there is also merit in realizing the grand challenges in one’s field. This paper presents an overview of the nine ...

• Nine problems in Business Process Management portray research challenges and opportunities.
• A tension is noticeable between human involvement and task automation for work process management.
• A better representation of the real-...

The enormous number of articles published daily on the Internet, by a diverse array of authors, often offers misleading or unwanted information, rendering activities such as sports betting riskier. As a result, extracting meaningful and reliable ...

The emergence of the Internet of things and the widespread deployment of diverse computing systems have led to the formation of heterogeneous multi-agent systems (MAS) to complete a variety of tasks. Motivated to highlight the state of the art on ...

When natural disasters strike, annotated images and texts flood the Internet, and rescue teams become overwhelmed to prioritize often scarce resources, while relying heavily on human input. In this paper, a novel multi-modal approach is proposed to ...

With the “last mile” of the delivery process being the most expensive phase, autonomous package delivery systems are gaining traction as they aim for faster and cheaper delivery of goods to city, urban and rural destinations. This interest is ...

Classifying biased datasets with linearly non-separable features has been a challenge in pattern recognition because traditional classifiers, usually biased and skewed towards the majority class, often produce sub-optimal results. However, if ...