Design and development of multi-objective hybrid clustering framework for smart city in India using internet of things

R Roshan, OP Rishi - Journal of Information & Knowledge …, 2023 - World Scientific
The drastic growth of smart city has considerably gained attention around the world in the
international policies and systematic literature. Numerous specialists should include diverse …

A Machine Learning Based Framework for Heart Disease Detection

H Pallathadka, M Naved, K Phasinam… - ECS …, 2022 - iopscience.iop.org
Even in rural parts of many nations, coronary heart disease has emerged as the main cause
of mortality. More than 23 million people will die from cardiovascular disease by 2030 …

Machine learning and internet of things (IoT) for real-time image classification in smart agriculture

K Phasinam, T Kassanuk - ECS Transactions, 2022 - iopscience.iop.org
A human's ability to survive would be impossible without agriculture. Agriculture provides a
means of subsistence for a huge proportion of the global population. It also provides a large …

[HTML][HTML] A hybrid Grasshopper optimization algorithm for skin lesion segmentation and melanoma classification using deep learning

P Thapar, M Rakhra, M Alsaadi, A Quraishi, A Deka… - Healthcare …, 2024 - Elsevier
Skin cancer can be detected through visual examination and confirmed through
dermoscopic analysis and various diagnostic tests. This is because visual observation …

An Efficient Deep Learning based Ensemble Approach for Multiclass Skin Cancer Classification Using Medical Imaging

M Kumar, S Batra, GS Chakraborty… - 2023 Second …, 2023 - ieeexplore.ieee.org
Skin cancer is considered one of the most common types of cancer that generally happens
due to the abnormal growth of skin cells. There are different types of skin cancer with varied …

Optimized deformable convolution network for detection and mitigation of ocular artifacts from EEG signal

DS Prasad, SR Chanamallu, KS Prasad - Multimedia Tools and …, 2022 - Springer
Electroencephalogram (EEG) is the key component in the field of analyzing brain activity
and behavior. EEG signals are affected by artifacts in the recorded electrical activity; thereby …

Human activity recognition in WBAN using ensemble model

J Boga - International Journal of Pervasive Computing and …, 2022 - emerald.com
Purpose For achieving the profitable human activity recognition (HAR) method, this paper
solves the HAR problem under wireless body area network (WBAN) using a developed …

A Deep Learning-Based Mobile Application for Monkeypox Detection

HF Alhasson, E Almozainy, M Alharbi, N Almansour… - Applied Sciences, 2023 - mdpi.com
The recent outbreak of monkeypox has raised significant concerns in the field of public
health, primarily because it has quickly spread to over 40 countries outside of Africa …

An optimized predictive model based on deep neural network for detection of skin cancer and oral cancer

G Sharma, R Chadha - 2023 2nd International Conference for …, 2023 - ieeexplore.ieee.org
Cancer is becoming a serious illness having a high mortality range. Cancer is a disease that
causes death even before the age of 60, according to recent research conducted in 90 …

Meta-heuristic-based FCM-UNet segmentation with multi-objective function and deep learning for brain tumour classification

A Siva Kumar, P Rajesh Kumar - Computer Methods in …, 2023 - Taylor & Francis
ABSTRACT A technique of automated segmentation has been introduced in this paper,
which makes the tumour segmentation out of MRI images, apart from improving the …