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Machine learning in traffic control for intelligent transportation systems (ML-ITSTC) aims to enhanc...
The distributed denial of service (DDoS) attack occurs when massive traffic from numerous computers ...
Linear regression is an algorithm that provides a linear relationship between an independent variabl...
Chronic disease (CD) such as kidney disease and causes severe challenging issues to the people all a...
The dial-a-ride problem (DARP) is a significant challenge in door-to-door transportation, requiring ...
What is artificial intelligence? Although many definitions of artificial intelligence (AI) have emer...
ai uses in healthcare recent advances in ai health uses of ai health medicine medicine care care int...
Achieving high predictive accuracy while utilizing a minimal yet highly relevant set of features rem...
Drug-resistant tuberculosis (DR-TB) has become a concern because anti tuberculosis drugs (ATD) used ...
Natural Language Processing (NLP) is a discipline dedicated to enabling computers to comprehend and ...
An approach for prediction CRD is proposed. Kidneys are the prominent organs which help in removal o...
As technology progresses, so does everything around us, such as televisions, mobile phones, and robo...
Principal Component Analysis(PCA) technique was introduced by the mathematician Karl Pearson in 1901...
It is a classification technique based on Bayes’ Theorem with an independence assumption among pre...
Localization is a critical concern in many wireless sensor network (WSN) applications. Furthermore, ...
Rice, a staple food source globally, is in high demand and production across the world. Its consumpt...
Nowadays, enterprises are required to take the uncertainty of the environment as decisive factor of ...
Remote sensing has emerged as a transformative tool for environmental monitoring, offering synoptic,...
In both blockchain and generative AI, a solid mathematical background is essential for understanding...
This work offers a novel method for predicting chronic kidney disease (CKD) by combining random fore...
A clustering algorithm is a machine learning technique used to group a set of objects into clusters,...
The PowerPoint presentation titled "Artificial Intelligence and Its Effects in Pharmacy" e...