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Prioritized and predictive intelligence of things enabled waste management model in smart and sustainable environment
Collaborative modelling of the Internet of Things (IoT) with Artificial Intelligence (AI) has
merged into the Intelligence of Things concept. This recent trend enables sensors to track …
merged into the Intelligence of Things concept. This recent trend enables sensors to track …
Performance evaluation of a proposed machine learning model for chronic disease datasets using an integrated attribute evaluator and an improved decision tree …
There is a consistent rise in chronic diseases worldwide. These diseases decrease immunity
and the quality of daily life. The treatment of these disorders is a challenging task for medical …
and the quality of daily life. The treatment of these disorders is a challenging task for medical …
Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization
Abstract The task of No-Reference Image Quality Assessment (NR-IQA) is to estimate the
quality score of an input image without additional information. NR-IQA models play a crucial …
quality score of an input image without additional information. NR-IQA models play a crucial …
A comprehensive review analysis of Alzheimer's disorder using machine learning approach
P Dutta, S Mishra - Augmented intelligence in healthcare: a pragmatic and …, 2022 - Springer
Alzheimer's disease is a neural disorder which the cause for progressive irreversible
neurologic disorder. It is difficult to detect in primary stages and yet the modalities for the …
neurologic disorder. It is difficult to detect in primary stages and yet the modalities for the …
Computer vision algorithms in healthcare: Recent advancements and future challenges
Computer vision has emerged as a promising technology with numerous applications in
healthcare. This systematic review provides an overview of advancements and challenges …
healthcare. This systematic review provides an overview of advancements and challenges …
An articulated learning method based on optimization approach for gallbladder segmentation from MRCP images and an effective IoT based recommendation …
Abstract Computer Aided Diagnosis (CAD) is an ever-growing field as it facilitates the
effective diagnosis of diseases at an early stage. This type of diagnosis system includes …
effective diagnosis of diseases at an early stage. This type of diagnosis system includes …
A Support Vector Machine Approach for Effective Bicycle Sharing in Urban Zones
Bicycle-sharing system is a modern personalized public transport network through which
people can rent a bicycle from one bicycle stand to the other in their network. It is an …
people can rent a bicycle from one bicycle stand to the other in their network. It is an …
[PDF][PDF] Improving patient care with machine learning: A game-changer for healthcare
AH Shahid, WA Khattak - Appl Res Artif Intell Cloud Comp, 2022 - core.ac.uk
Abstract Machine learning has revolutionized the field of healthcare by offering tremendous
potential to improve patient care across various domains. This research study aimed to …
potential to improve patient care across various domains. This research study aimed to …
[HTML][HTML] A Novel Image Processing Method for Obtaining an Accurate Three-Dimensional Profile of Red Blood Cells in Digital Holographic Microscopy
Recently, research on disease diagnosis using red blood cells (RBCs) has been active due
to the advantage that it is possible to diagnose many diseases with a drop of blood in a short …
to the advantage that it is possible to diagnose many diseases with a drop of blood in a short …
COVID-19 outbreak estimation approach using hybrid time series modelling
In the beginning of March 2020, coronavirus was claimed to be a worldwide pandemic by
the World Health Organization (WHO). In Wuhan, a region in China, around December …
the World Health Organization (WHO). In Wuhan, a region in China, around December …