The need for robust information protection techniques has become important in security applications, especially to safeguard secret messages during transmission. The rapid expansion and pervasive use of the Internet have amplified security concerns, particularly regarding the authenticity of digital...

The growing demand for secondary use of electronic health records (EHRs) in clinical research has amplified the importance of effective de-identification of protected health information (PHI) to comply with privacy regulations such as HIPAA. Manual annotation remains error-prone, time-consuming, and...

Remaining Useful Life (RUL) prediction is critical for ensuring equipment safety and optimizing maintenance schedules, directly impacting system reliability and maintenance efficiency. However, in real-world industrial scenarios, factors such as operating condition fluctuations and load variations l...

This study introduces a novel approach for enhancing production decision-making by applying Reinforcement Learning to optimize the Economic Manufacturing Quantity (EMQ) model within discrete-time production-inventory systems. By incorporating machine status, inventory levels, and production choices,...

Software Engineering (SE) has traditionally relied on rule-based methods and human expertise to deliver reliable systems. As software systems grow more complex and the demand for intelligent and scalable solutions increases, Artificial Intelligence (AI) has emerged as a transformative approach. In p...

Real-time detection of small obstacles is a critical challenge for autonomous systems such as self-driving vehicles, unmanned aerial vehicles (UAVs), and mobile robots. These small obstacles (e.g., road debris, fallen branches, cables) pose significant safety risks due to their low visibility and ir...

The paper carries out a comparative study that is based on the use of credibility theory to examine pentagonal and hexagonal fuzzy membership functions of machine learning systems. These fuzzy memberships can be used to manage the uncertainty and imprecision of a data driven-model which allows bette...

Cucumber cultivation is a vital component of Pakistan's agricultural economy and is a key vegetable in the national diet. However, crop yield and quality are severely threatened by diseases like powdery mildew and downy mildew. Early and accurate disease detection is critical for implementing target...

Accurate and automated detection of dental anatomy is essential for diagnosis and treatment planning. This study proposes a Transformer-Embedded YOLOv8 (TEYOLOv8) network to improve detection and classification of seven dental classes. The model enhances localization and segmentation accuracy by emb...

Breast cancer remains one of the most significant health challenges, being the second leading cause of death among women worldwide. Early and accurate diagnosis is critical to improving treatment outcomes and increasing survival rates. In this study, we present an innovative application of the WRN-2...