Sustainable road construction is crucial in minimizing energy consumption, greenhouse gas emissions, and depletion of natural resources. Traditional asphalt production practices are under scrutiny due to their environmental impact, necessitating a sh... read more
Traditional approaches to the diagnosis of personality disorders, including a clinical interview and a self-report, are usually limited by subjectivity and time constraints. Recent developments in artificial intelligence have opened the possibility o... read more
Neuro-cancer crosstalk plays an important role in the development and progression of Glioblastoma (GBM), but its specific mechanisms remain incompletely elucidated. This study aims to systematically identify key genes related to neuro-cancer crosstal... read more
Deep learning on medical images classification intervention needs to use large data on multi-institutional datasets but privacy laws inhibit sharing of data (GDPR, HIPAA). Federated Learning (FL) facilitates collaborative training without data transf... read more
The rapid proliferation of Internet of Things (IoT) devices and edge computing infrastructures has intensified concerns regarding data security and privacy, particularly when sensitive information is processed beyond centralized cloud environments. H... read more
Laser-induced breakdown spectroscopy (LIBS) is a versatile technique for characterizing materials and analyzing elements, but it is limited in its quantitative accuracy due to nonlinear effects. This study uses machine learning (ML) regression algori... read more
Prostate cancer and prostatic diseases
May 12, 2026
BACKGROUND: There is a recent surge in interest in the application of artificial intelligence (AI) in prostate cancer (PCa). When evaluating PSMA PET scans, AI has shown promise in detecting intraprostatic cancer and metastatic disease. This systemat... read more
To meet the increased parking challenges posed by the rapid growth in university parking demand, there is a growing demand for smart parking systems to alleviate stress on access, congestion and optimise space. In this paper we present an Automated V... read more
This paper investigates the distributed adaptive fault-tolerant control problem for mixed-order connected and autonomous vehicles (CAVs) platoon with actuator faults, saturation, external disturbances, and uncertainties. The studied mixed-order CAVs ... read more
Sustainable agriculture has been greatly challenged by the problems of dense canopies that result in extreme occlusion, scale disparities and imbalances of classes, making it difficult to detect small and overlapping weeds in real field conditions. A... read more
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