Effectively managing food supply chains is critical for ensuring food security and safety. Identifying and prioritizing the criteria affecting food supply chain performance is imperative to manage uncertainty and avoid undesirable consequences in Supply Chain Management (SCM). This study aims to...

Drones are used for post-flood disaster management and delivering relief goods to flood-affected areas. Autonomous drones are an alternative means of prioritizing assistance due to the lack of available technology and accessibility in many affected areas during floods. This study proposes a...

Technology is pivotal in the rapid growth of services and intensifying the quality of life. Recent technology, like the Internet of Things (IoT), demonstrates an impressive performance in fast-forward development. Intrusion Detection System (IDS) is used as a lifeline to prevent attacks by...

Data breaches have been causing havoc for many years and continue to rise, demanding a more comprehensive framework to assess their severity. This study proposes a cybersecurity risk quantification and classification framework, addressing a significant research gap in breach severity evaluation....

Employees are often more likely to use social media for job searching, which sometimes causes withdrawal behaviour. This study proposes an ensemble learning model for predicting the intention to quit (IQ) based on selected features, such as job Involvement (JI), organizational commitment (OC),...

Missing data can significantly impact dataset integrity and suitability, leading to unreliable statistical results, distortions, and poor decisions. The presence of missing values in data introduces inaccuracies in clustering and classification and compromises the reliability and validity of...

Artificial intelligence (AI) applications are already integrated and expected to expand within the aviation sociotechnical ecosystem. Machine Learning (ML) models are capable and could excel on accident report classification tasks within the aviation context, assuming adequate and proper...

Breast cancer is a disease characterised by abnormal cell growth in the breast, with various types and unique characteristics depending on the malignant cells involved. It predominantly affects women, and researchers in the field of clinical sciences are increasingly interested in leveraging...

People with Parkinson's Disease (PD) might struggle with sadness, restlessness, or difficulty speaking, chewing, or swallowing. A diagnosis can be challenging because there is no specific PD test. It is diagnosed by doctors using a neurological exam and a medical history. This study proposes...

This paper investigates the use of large language models (LLMs) for moderating online discussions, with a focus on identifying user intent in various types of content. It centers on natural language processing (NLP) techniques to detect toxic language, derailment in discussions, and problematic...