Demystifying supervised learning in healthcare 4.0: A new reality of transforming diagnostic medicine
The global healthcare sector continues to grow rapidly and is reflected as one of the fastest-
growing sectors in the fourth industrial revolution (4.0). The majority of the healthcare …
growing sectors in the fourth industrial revolution (4.0). The majority of the healthcare …
On the analyses of medical images using traditional machine learning techniques and convolutional neural networks
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
FuzzyNet-Based Modelling Smart Traffic System in Smart Cities Using Deep Learning Models
The current lockouts, climatic variations, population expansion, and constraints on
convenience and natural resource access are some of the factors that are making the need …
convenience and natural resource access are some of the factors that are making the need …
[Retracted] Enhance‐Net: An Approach to Boost the Performance of Deep Learning Model Based on Real‐Time Medical Images
Real‐time medical image classification is a complex problem in the world. Using IoT
technology in medical applications assures that the healthcare sectors improve the quality of …
technology in medical applications assures that the healthcare sectors improve the quality of …
Prediction of quality food sale in mart using the AI‐based TOR method
“The golden highways of the technological route serve as the ultimate metaphor for the
society of artificial intelligence,” explains the author of this present excursion. Unsupervised …
society of artificial intelligence,” explains the author of this present excursion. Unsupervised …
An ensemble learning approach for chronic kidney disease classification
Chronic kidney disease (CKD) is a potentially fatal condition that is difficult to identify early
due to the absence of symptoms. The suggested study's goal is to create and verify a …
due to the absence of symptoms. The suggested study's goal is to create and verify a …
FuzzyNet: Medical image classification based on GLCM texture feature
In recent study has found that high-precision monitoring, big data, and medical diagnosis
continue to be hampered by transit delays. We designed and implemented an unique fuzzy …
continue to be hampered by transit delays. We designed and implemented an unique fuzzy …
7 Extracting business methodology: using artificial intelligence-based method
In this current journey, the technical pathway's golden roads show the ultimate metaphor for
artificial intelligence (AI) society. The clinical stores, banks, NGOs, insurance, and some …
artificial intelligence (AI) society. The clinical stores, banks, NGOs, insurance, and some …
A review on detection and mitigation analysis of distributed denial of service attacks and their effects on the cloud
To save money on maintenance and administrative costs, cloud computing aims to move
high-end computer equipment to the internet and put it online. Both victims and attackers …
high-end computer equipment to the internet and put it online. Both victims and attackers …
Driver drowsiness detection system: an approach by machine learning application
The majority of human deaths and injuries are caused by traffic accidents. A million people
worldwide die each year due to traffic accident injuries, consistent with the World Health …
worldwide die each year due to traffic accident injuries, consistent with the World Health …