Artificial intelligence-based ensemble learning model for prediction of hepatitis C disease

MO Edeh, S Dalal, IB Dhaou, CC Agubosim… - Frontiers in Public …, 2022 - frontiersin.org
Machine learning algorithms are excellent techniques to develop prediction models to
enhance response and efficiency in the health sector. It is the greatest approach to avoid the …

Text‐Based Emotion Recognition Using Deep Learning Approach

SK Bharti, S Varadhaganapathy… - Computational …, 2022 - Wiley Online Library
Sentiment analysis is a method to identify people's attitudes, sentiments, and emotions
towards a given goal, such as people, activities, organizations, services, subjects, and …

Enabling artificial intelligence of things (AIoT) healthcare architectures and listing security issues

AA Pise, KK Almuzaini, TA Ahanger… - Computational …, 2022 - Wiley Online Library
A significant study has been undertaken in the areas of health care and administration of
cutting‐edge artificial intelligence (AI) technologies throughout the previous decade …

[HTML][HTML] Hybrid XGBoost model with hyperparameter tuning for prediction of liver disease with better accuracy

S Dalal, EM Onyema, A Malik - World Journal of Gastroenterology, 2022 - ncbi.nlm.nih.gov
BACKGROUND Liver disease indicates any pathology that can harm or destroy the liver or
prevent it from normal functioning. The global community has recently witnessed an …

A hybrid machine learning model for timely prediction of breast cancer

S Dalal, EM Onyema, P Kumar… - … Journal of Modeling …, 2023 - World Scientific
Breast cancer is one of the leading causes of untimely deaths among women in various
countries across the world. This can be attributed to many factors including late detection …

IntOPMICM: intelligent medical image size reduction model

PK Pareek, C Sridhar, R Kalidoss… - Journal of …, 2022 - Wiley Online Library
Due to the increasing number of medical imaging images being utilized for the diagnosis
and treatment of diseases, lossy or improper image compression has become more …

Bootstrapping random forest and CHAID for prediction of white spot disease among shrimp farmers

MO Edeh, S Dalal, IC Obagbuwa, BVVS Prasad… - Scientific Reports, 2022 - nature.com
Technology is playing an important role is healthcare particularly as it relates to disease
prevention and detection. This is evident in the COVID-19 era as different technologies were …

Hyper-parameter tuned deep learning approach for effective human monkeypox disease detection

N Dahiya, YK Sharma, U Rani, S Hussain… - Scientific Reports, 2023 - nature.com
Human monkeypox is a very unusual virus that can devastate society. Early identification
and diagnosis are essential to treat and manage an illness effectively. Human monkeypox …

Improved energy efficiency using adaptive ant colony distributed intelligent based clustering in wireless sensor networks

KA Sharada, TR Mahesh, S Chandrasekaran… - Scientific Reports, 2024 - nature.com
Optimization algorithms have come a long way in the last several decades, with the goal of
reducing energy consumption and minimizing interference with primary users during data …

Delay‐Driven Opportunistic Routing with Multichannel Cooperative Neighbor Discovery for Industry 4.0 Wireless Networks Based on Power and Load Awareness

A Pai H, KK Almuzaini, L Ali, A Javeed… - Wireless …, 2022 - Wiley Online Library
During data transmission, a decentralised Mobile Ad Hoc Network (MANET) might result in
high Energy Consumption (EC) and a short Network Lifetime (NLife). To address these …