Security in the Metaverse is a critical concern as virtual worlds continue to expand and
evolve. With an increasing number of users engaging in immersive experiences …

This study introduces QMNN, a quantum mesh neural network model incorporating a
Quantum Neural Network Expectation (QNNE) circuit, and evaluates its performance on …

Objectives To introduce quantum computing technologies as a tool for biomedical research
and highlight future applications within healthcare, focusing on its capabilities, benefits, and …

Quantum machine learning (QML) is an emerging field that combines the power of quantum
computing with machine learning (ML) techniques to solve complex problems. In recent …

With the exponential growth of medical data, Machine Learning (ML) algorithms are
becoming increasingly important to the management and organization of healthcare …

This research delved into a dynamic landscape in exploring the integration of Quantum
Machine Learning (QML) algorithms in higher education for curriculum development and …

Accurate segmentation and categorization of liver tumours are crucial for the diagnosis and
management of carcinoma or metastases. The liver tumour presents a challenging problem …

This work presents a unique SDN-based Dijkstra shortest path routing algorithm for QoS
improvisation in UAV Networks. It discusses the various problems pertaining to the …

In the field of pharmaceutical science, there is an increasing demand for advanced
computational techniques to enhance drug discovery and understand complex molecular …

With the new advancements, unmanned aerial vehicles (UAVs) are trending with enormous
development in our society, bringing new leaps towards the smart IOT devices. As the IOT …