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AI Recommendation System for Enhanced Customer Experience: A Novel Image-to-Text Method
Existing fashion recommendation systems encounter difficulties in using visual data for accurate and personalized recommendations.
Exploration of carbonate aggregates in road construction using ultrasonic and artificial intelligence approaches
The COVID-19 pandemic has significantly impacted the construction sector, which is sensitive to economic cycles.
Reshaping Smart Energy Transition: An analysis of human-building interactions in Qatar Using Machine Learning Techniques
The study has important implications for developing targeted strategies aimed at improving the efficacy of energy policies and sustainability performance indicators.
Dairy Cow rumination detection: A deep learning approach
Cattle activity is an essential index for monitoring health and welfare of the ruminants.
Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application
This article focuses on the detection of such micro sleep and drowsiness using neural network based methodologies.
Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques
This approach is based on a deep learning method that can be implemented on Android applications with high accuracy.
