The exponential growth of digital data in cloud storage systems is a critical issue presently
as a large amount of duplicate data in the storage systems exerts an extra load on it …

Sensor‐based agriculture monitoring systems have limited outcomes on the detection or
counting of vegetables from agriculture fields due to the utilization of either conventional …

When used in conjunction with the current floorplan and the optimization technique in circuit
design engineering, this research allows for the evaluation of design parameters that can be …

Recommender system (RS) is a unique type of information clarification system that
anticipates the user's evaluation of items from a large pool based on the expectations of a …

In this paper, an autonomous brain tumor segmentation and detection model is developed
utilizing a convolutional neural network technique that included a local binary pattern and a …

LoRa technology is extensively utilized in the Internet of Things world. It allows a
transmission of a low volume of data through small wireless devices. The principle of LoRa …

Infectious disease malaria is a devastating infectious disease that claims the lives of more
than 500,000 people worldwide every year. Most of these deaths occur as a result of a …

The burst drop** ratio is witnessed in the contemporary literature as a considerable
constraint of optical burst switching (OBS) networks that attained many researchers' efforts in …

To rich good accuracy in the 2D area for wireless sensor network (WSN) nodes, a
localization method has to be selected. The objective of this paper is first to select which …

Brain tumours pose a substantial global health issue, emphasising the criticality of timely
and precise identification to ensure optimal treatment outcomes. This research introduces an …