IEEE

Comparison of Conventional Machine Learning and Convolutional Deep Learning Models for Seagrass Mapping Using Satellite Imagery

Benthic communities, such as seagrass meadows, play a crucial environmental role in marine ecosystems and provide socio-economic benefits. Satellite remote sensing is currently used for its monitoring ...
Journal of Medical Internet Research

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical ...

Based on clinical data from the first 24 hours of ICU admission, we used a two-stage feature selection process combining light gradient boosting machine (LightGBM) and Shapley additive explanation ...
The HR Digest

Target’s attendance tracking system to keep closer tabs on workers

Starting September, Target is rolling out a new Attendance Tracking Points System (ATS) for its store and warehouse workers. The retailer is keen to move to a point-based attendance model in a quest ...
The Lancet

Development and validation of an interpretable machine learning model for non-invasive screening of precancerous gastric lesions using symptom and lifestyle data: a multicentre ...

aInstitute for TCM-X, MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing, China ...
IEEE

Optimizing Construction Project Scheduling Using Machine Learning and AI-Based Predictive Analytics for Cost and Time Efficiency

Abstract: The paper examines how Hybrid Machine Learning and Real-Time Data Integration can be used to optimize the construction project schedule using the Google Cloud AI Platform. By using the ...