Prioritized and predictive intelligence of things enabled waste management model in smart and sustainable environment

S Mishra, L Jena, HK Tripathy, T Gaber - PloS one, 2022 - journals.plos.org
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 …

Performance evaluation of a proposed machine learning model for chronic disease datasets using an integrated attribute evaluator and an improved decision tree …

S Mishra, PK Mallick, HK Tripathy, AK Bhoi… - Applied Sciences, 2020 - mdpi.com
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 …

Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization

Y Liu, C Yang, D Li, J Ding… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
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 …

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 …

Computer vision algorithms in healthcare: Recent advancements and future challenges

MM Kabir, A Rahman, MN Hasan, MF Mridha - Computers in Biology and …, 2025 - Elsevier
Computer vision has emerged as a promising technology with numerous applications in
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 …

V Muneeswaran, P Nagaraj, MF Ijaz - … e-Health: Integrated IoT and Cloud …, 2022 - Springer
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 …

A Support Vector Machine Approach for Effective Bicycle Sharing in Urban Zones

S Suman, S Mishra, HK Tripathy - Cognitive Informatics and Soft …, 2021 - Springer
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 …

[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 …

[HTML][HTML] A Novel Image Processing Method for Obtaining an Accurate Three-Dimensional Profile of Red Blood Cells in Digital Holographic Microscopy

HW Kim, M Cho, MC Lee - Biomimetics, 2023 - mdpi.com
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 …

COVID-19 outbreak estimation approach using hybrid time series modelling

S Chakraborty, S Mishra, HK Tripathy - International Conference on …, 2022 - Springer
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 …