Applications and challenges in healthcare big data: a strategic review
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 …
decades. Due to the exponential growth of technology, a tremendous amount of data is …
Predictive intelligence for healthcare outcomes: An ai architecture overview
This research aims to analyze the continuous structure involved in developing Artificial
Intelligence (AI)-based healthcare systems to ensure sustainable outcomes. A comparison is …
Intelligence (AI)-based healthcare systems to ensure sustainable outcomes. A comparison is …
Transforming Payment Processes: A Discussion of AI-Enabled Routing Optimization
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 …
enhance the effectiveness of monetary exchanges, which is the main objective of this …
Optimizing Irrigation Efficiency with IoT and Machine Learning: A Transfer Learning Approach for Accurate Soil Moisture Prediction
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 …
which may be used to construct smart irrigation systems. The model was evaluated and …
Exploring the effectiveness of optimized convolutional neural network in transfer learning for image classification: A practical approach
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 …
trained CNN model on a new dataset to improve accuracy and speed. This article examines …
An empirical investigation into the altering health perspectives in the internet of health things
NM Bahbouh, SS Compte, JV Valdes… - International Journal of …, 2023 - Springer
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 …
being of the people. Naturally, this domain has attracted the attention of many researchers …
Exploring the impact of edge intelligence and iot on healthcare: a comprehensive survey
R Punugoti, V Dutt, A Anand… - … on Sustainable Computing …, 2023 - ieeexplore.ieee.org
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 …
deep learning, IoT, and machine learning for real-time analytics, monitoring, and data …
Multi model implementation on general medicine prediction with quantum neural networks
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 zone of prediction. The proposed methodology mentioned in this article speaks about …
A novel approach for anomaly detection in time-series data using generative adversarial networks
Data anomalies are found using anomaly detection. Generative adversarial networks
(GANs) can produce synthetic data and learn complex patterns. Temporal dependencies …
(GANs) can produce synthetic data and learn complex patterns. Temporal dependencies …
Parkinson's disease prediction using adaptive quantum computing
SR Swarna, A Kumar, P Dixit… - 2021 Third International …, 2021 - ieeexplore.ieee.org
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 …
model design and implementation. Dementia is the most dangerous disease which will …