A Machine Learning‐Based Framework for Accurate and Early Diagnosis of Liver Diseases: A Comprehensive Study on Feature Selection, Data Imbalance, and …

AU Rehman, WH Butt, TM Ali, S Javaid… - … Journal of Intelligent …, 2024 - Wiley Online Library
The liver is the largest organ of the human body with more than 500 vital functions. In recent
decades, a large number of liver patients have been reported with diseases such as …

A Smart Spotify Assistance and Recommendation System

K Allawadi, C Vij - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
This project will be used to discover correlation between the Spotify user and the respective
song searched by him. Based on the found relations, this system will recommend songs …

Smart Medical Appointment Scheduling: Optimization, Machine Learning and Overbooking to Enhance Resource Utilization

C Valenzuela-Núñez, G Latorre-Núñez… - IEEE …, 2024 - ieeexplore.ieee.org
Scheduling medical appointments plays a fundamental role in managing patient flow and
ensuring high-quality care. However, no-shows can significantly disrupt this process and …

Pneumonia Detection Through X-Ray Images Using Convolution Neural Network

P Garg, AK Srivastava, A Anas, B Gupta… - Advancements in Bio …, 2023 - igi-global.com
Pneumonia is a very contagious illness that spreads quickly among newborns. According to
UNICEF, pneumonia was to blame for 16% of all baby deaths under the age of five. The …

Using Machine Learning to Improve Healthcare: A Disease Prediction and Management System

K Allawadi, MK Singh, C Vij - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
For better patient diagnosis and treatment, medical facilities need to be advanced. With the
assistance of machine learning, we can large and sophisticated medical datasets for …

Mobile Edge Computing for Decentralized Systems

S Gupta, P Garg - Decentralized Systems and Distributed …, 2024 - Wiley Online Library
Decentralized education delivery has the potential to be more effective, represent local
objectives better, promote involvement, and, ultimately, increase coverage and quality …

Handwritten Text Recognition Using Deep Learning

H Bhardwaj, R Das, P Garg… - 2024 Sixth International …, 2024 - ieeexplore.ieee.org
Handwriting text recognition which can be also called as HTR is an emerging topic. As we
know it is easy for humans to recognize any sort of things or objects. And humans can also …

Human Emotion Recognition using Deep Learning

AP Chaudhary, A Mishra, D Kumar… - … and Networking (CICTN …, 2023 - ieeexplore.ieee.org
As the world is developing, so are the needs to understand human emotional behavior in
order to decrease the amount of crimes, increase the business sales and various medical …

Diffusion Tensor Imaging for Investigating Structural Connectivity Patterns in Attention Deficit Hyperactivity Disorder

S Verma, A Singh, P Yadav… - … Advanced Computing & …, 2023 - ieeexplore.ieee.org
The DTI technique provides a powerful tool for investigating structural connectivity patterns
in ADHD. It can show networks affected by the sickness, providing a more profound know …

Blockchain-based Model for Secure and Trusted IoT System

R Kumar, R Sharma - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Blockchain and the Internet of Things (IoT) have emerged as transformative technologies
with the potential to revolutionize the information world. By integrating IoT smart devices into …