Results 41 to 50 of about 6,021,580 (294)
Feasible Prediction of Multiple Diseases using Machine Learning [PDF]
E3S Web of Conferences, 2023 Automated Multiple Disease Prediction System using Machine Learning is an advanced healthcare application that utilizes machine learning algorithms to accurately predict the likelihood of a patient having multiple diseases based on their medical history ...
Ramesh Banoth +5 more
doaj +1 more source
Smart E-Commerce: A Novel Lease Option Model for HealthCare Equipment [PDF]
E3S Web of Conferences, 2023 The swift development of e-commerce has significantly altered consumer behavior and the availability of products and services. Online platforms have become essential for both healthcare providers and patients within the field of medical equipment ...
Anjaneyulu M. +5 more
doaj +1 more source
, 2021 Cleaned up repository, and updated README to reflect current version of the Samplot-ML ...
mchowdh200
core +1 more source
Automation of Credit Card Customer Churn Analysis using Hybrid Machine Learning Models [PDF]
E3S Web of Conferences, 2023 Credit Card Customer Churn Analysis (C4A) is a phenomenon where customers stop using a specific business credit card service. Predicting customer churn is crucial for Credit Card (CC) companies because it enables them to spot at-risk customers and take ...
Ram Kumar R.P. +5 more
doaj +1 more source
, 2023 <h2>What's Changed</h2> <ul> <li>Add model call tests by @tatianacv in https://github.com/ponder-lab/ML/pull/53</li> <li>Handle global writes in the Python ModRef analysis by @khatchad in https://github.com/ponder-lab ...
Tatiana Castro Vélez +5 more
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Feasible Sentiment Analysis of Real Time Twitter Data [PDF]
E3S Web of Conferences, 2023 Sentiment analysis plays a significant role in understanding public opinion, trends, and sentiments expressed on social media platforms. In this paper, we focus on performing sentiment analysis on real-time Twitter data to gain insights into the ...
Karuna G. +5 more
doaj +1 more source
Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things
Frontiers in Plant Science, 2023 The Internet of Things (IOT)-based smart farming promises ultrafast speeds and near real-time response. Precision farming enabled by the Internet of Things has the potential to boost efficiency and output while reducing water use.
Debabrata Singh +9 more
doaj +1 more source
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020 Parallel accelerators, such as GPUs, are a key enabler of large-scale Machine Learning (ML) applications. However, programmers often lack detailed knowledge of the underlying architecture and fail to fully leverage their computational power. This paper proposes GEVO-ML, a tool for automatically discovering optimization opportunities and tuning the ...
Jhe-Yu Liou +3 more
openaire +2 more sources
Real-Time SystemsAbstract We propose two complementary research directions, “Time for ML” and “ML for Time”, that we believe to be critical for the deployment of machine-learning (ML) applications in time-sensitive applications. “Time for ML” refers to ML systems that are aware of and can adapt to dynamic time constraints regarding their execution, while “ML ...
Daniel Kuhse +3 more
openaire +2 more sources