The integration of deep learning (DL) techniques with geographical information system (GIS)
offers a promising avenue for gaining novel insights into environmental phenomena by …

The goals of" smart cities" include relieving the burden of growing urbanisation, cutting down
on energy use, protecting the environment, boosting the local economy and people's …

Integration of blockchain technology into the Internet of Things (IoT) may prove to be the
solution to IoT-related challenges. The blockchain technology necessitates the storage of …

In recent decades, the Internet of Things (IoT) has grown rapidly, attracting the attention of
scientists and businesspeople. In extreme conditions, autonomously scattered sensor nodes …

Deep learning technology is becoming increasingly prevalent in the healthcare industry,
which has the potential to revolutionise medical diagnosis, treatment, and patient care. Deep …

The paper commences with an introduction to blended learning, an educational approach
that amalgamates traditional face-to-face instruction with online learning, aiming to …

The term" smart highway" refers to the way advanced technologies and smart systems are
built into roads to make them safer, more efficient and more environment-friendly. Smart …

Forecasting the future of the stock market is a crucial challenge for companies, financial
analysts, policymakers, and other stakeholders. The primary objective is to develop a stable …

The largest disruptive component of traffic management system is road transport. Intelligent
Transportation Systems (ITS) necessitate exact traffic forecast. However, transport …

The term" smart highway" refers to the way advanced technologies and smart systems are
built into roads to make them safer, more efficient and more environment-friendly. Smart …