Big data has been a topic of interest for many researchers and industries for the past few
decades. Due to the exponential growth of technology, a tremendous amount of data is …

This research aims to analyze the continuous structure involved in develo** Artificial
Intelligence (AI)-based healthcare systems to ensure sustainable outcomes. A comparison is …

This research aims to develop a Machine Learning model for predicting soil moisture levels,
which may be used to construct smart irrigation systems. The model was evaluated and …

The utilization of Artificial Intelligence (AI)-enabled software and hardware is expected to
enhance the effectiveness of monetary exchanges, which is the main objective of this …

Transfer learning is a popular deep learning technique that involves fine-tuning a pre-
trained CNN model on a new dataset to improve accuracy and speed. This article examines …

Healthcare is on top of the agenda of all governments in the world as it is related to the well-
being of the people. Naturally, this domain has attracted the attention of many researchers …

Data anomalies are found using anomaly detection. Generative adversarial networks
(GANs) can produce synthetic data and learn complex patterns. Temporal dependencies …

Medical is the large-scale repository where there is more chances to create a new model in
the zone of prediction. The proposed methodology mentioned in this article speaks about …

The Internet of Things (IoT) will disrupt medicine the most. Healthcare uses edge computing,
deep learning, IoT, and machine learning for real-time analytics, monitoring, and data …

Adaptability is the most generous thing we need to acquire to solve any kind of prediction
model design and implementation. Dementia is the most dangerous disease which will …