Discover Scientific Insights from Various Academic Journals

This paper examines the roles of Artificial Intelligence (AI) in managing communication operations within Non-Terrestrial Networks (NTNs). A review research method was adopted to examine recent studies on AI applications in satellite and integrate...

Artificial intelligence (AI) has quickly gained traction in oncology, assisting with cancer diagnosis, prognosis prediction, treatment selection, and precision medicine. Numerous concerns, such as bias, privacy, explainability, safety, and clinica...

The current study proposes an innovative physics-informed AI-driven digital twin methodology, which is expected to improve the forecasting of renewable energy generation and allow for the safe, flexible, and efficient integration of renewable sour...

This study examines the major challenges affecting the deployment and utilisation of space-based internet in expanding connectivity to underserved and remote communities in Africa. A review research method was adopted to analyse existing studies o...

Digital payment systems have come a long way, resulting in a challenge for cybersecurity experts and financial institutions to identify and trace fraudulent credit card transactions. While traditional machine-learning fraud detection systems can d...

Methods for synthesizing error-correcting codes are examined in the context of communication channels subjected to additive noise through permutation-based methods. This research is motivated by the increase in interference on modern communication...

Computational thinking (CT) is widely recognised as a core competence of general education, yet school informatics instruction in many national systems remains oriented towards the syntax of a programming language rather than towards transferable ...

Differentials are vital and delicate pieces of equipment in the automotive power-transmission group, and unnoticed damage or malfunction in the crown wheel and pinion will lead to expensive downtime and even, in the worst possible scenario, danger...

Thermal-fatigue life prediction of gas-turbine discs is challenging because plasticity, creep, and progressive strain accumulation interact under extreme thermomechanical loading. This study compares constant-bias, linear, and Gaussian-process cor...

Analyzing and processing natural language in a way that resonates with humans is crucial in the modern era. Therefore, developing computer understanding of this language is essential. Large language models have played a significant role in advanci...