Because of the gravity of this condition, the development of trustworthy detection tools for
brain cancer is an absolute need. The K-Nearest Neighbors (KNN) algorithm and the …

The field of artificial intelligence known as Recurrent Neural Networks (RNNs) is utilized in
this investigation, which goes into the domain of analyzing brain tumours. Its primary …

Brain cancer is deadly and requires prompt detection and treatment. We propose a complete
brain cancer detection method using binary encoding, adaptive thresholding, edge-based …

Alzheimer's disease (AD) is characterized by the central feature of dysregulated metabolism
of β-amyloid peptide (Aβ). BACE1, which is the enzyme responsible for the production of Aβ …

ABSTRACT The Internet of Things (IoT) plays an essential role in the majority of the recent
real‐time applications to speed up the process of immediate actions against abnormal …

Cancer of the breast is a malignant tumour that originates in the cells of the breast tissue. It is
by far the most common kind of cancer found in females around the world, with a projected …

The utilization of the spectrum is optimized through which primary users of modern wireless
communication technologies might obtain a higher chance of detection. The research aims …

This research analyses the complex dynamics of Cyber-Physical-Social Systems (CPSS),
encompassing cyber-physical systems, cybersecurity, the Internet of Things (IoT), and social …

Due to their numerous uses in industries including surveillance, agriculture, mapping, and
delivery services, unmanned aerial vehicles (UAVs) have attracted a lot of attention in recent …

Machine learning is used in many fields because of its rapid development. To determine
their efficacy and suitability for certain activities, these models must be evaluated. This study …