IEEE

Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian Cancer

Abstract: Ovarian cancer remains one of the most difficult gynecological cancers to detect early, often resulting in poor survival rates. This study presents a comparative analysis of machine learning ...
IEEE

Indian Sign Language Detection for Real-Time Translation using Machine Learning

Abstract: Gestural Language used by deaf and mute communities to communicate by using hand gestures and body movements that rely on visual and spatial patterns known as sign languages. Communication ...
wealthofgeeks

Whoopi Said the Epstein Files Vanished When the War Started. Then the Google Trends Data Got Awkward

She asked why nobody was talking about the Epstein files anymore. A former Israeli diplomat, a Republican congressman, and 52 percent of likely voters in one recent poll apparently had the same ...
IEEE

Empowering Educators with AI: A System for Designing Integrated STEM Projects Using Machine Learning and Large Language Models

Abstract: Integrated STEM projects and experiments promote interdisciplinary learning, enhance critical thinking, and prepare students for real-world problem-solving by bridging science, technology, ...
IEEE

Early Chronic Kidney Disease Detection Using Machine Learning Techniques

Abstract: Chronic Kidney Disease (CKD) is an important public health issue, affecting millions globally. Early identification is important to intervene in time and manage the disease effectively. In ...
IEEE

Early Detection of Alzheimer's Disease Using Machine Learning Techniques

Abstract: Alzheimer's disease (AD) is a disease of the central nervous system that manifests as dementia and other mental disorders. It's critical to correctly diagnose Alzheimer's disease as well as ...
IEEE

Intrusion Detection System Using Machine Learning Based on NSL KDD Dataset

Abstract: Todays digital era network may become unstable due to malicious activity on the Internet. One of the best protection methods is an intrusion detection system (IDS), which lowers security ...
The Lancet

Development and validation of an explainable machine learning model for predicting postoperative pulmonary complications after lung cancer surgery: a machine learning study

bSchool of Nursing, Hunan University of Medicine, Huaihua, Hunan Province, China cSchool of Nursing, Zunyi Medical University, Zunyi, Guizhou Province, China dThoracic Surgery Department, Affiliated ...
IEEE

Sentimental analysis of twitter tweets using machine learning algorithms

Abstract: Machine Learning (ML) has become transformative across various industries, allowing computers to decide without explicit programming by using data to learn. This paper examines the ...
IEEE

An Experimental Analysis of Multiple Disease Prediction Using Machine Learning Algorithms

Abstract: The development of smart healthcare tools is progressing at a rapid pace. It is only a matter of time when the healthcare system all over the world becomes completely automated. This paper ...
IEEE

On Road Vehicle Breakdown Assistance by Using Machine Learning

Abstract: The On Road Vehicle Breakdown Application (ORVBA) functions as an optimal system to resolve remote automotive breakdowns. Primary end-users of the ORVBA platform will use the system to reach ...