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Found 8 papers, 0 papers with code
Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning
Using more than 5800 chest X-ray images for pneumonia detection from a publicly available dataset, we ran experiments to assess the effectiveness of our approach.
LSTM-based QoE Evaluation for Web Microservices' Reputation Scoring
In this study, we propose to perform sentiment analysis on web microservices reviews to exploit the provided information to assess and score the microservices' reputation.
COVIBOT: A Smart Chatbot for Assistance and E-Awareness during COVID-19 Pandemic
The coronavirus pandemic has spread over the past two years in our highly connected and information-dense society.
A Deep Learning-based Approach for Real-time Facemask Detection
Several experiments are conducted and show good performances of the proposed approach (99% for training and testing accuracy).
GuideMe: A Mobile Application based on Global Positioning System and Object Recognition Towards a Smart Tourist Guide
Finding information about tourist places to visit is a challenging problem that people face while visiting different countries.
Randomly Initialized Convolutional Neural Network for the Recognition of COVID-19 using X-ray Images
The performance of this network is evaluated through two public datasets, which are the COVIDx and the enhanced COVID-19 datasets.
An Enhanced Randomly Initialized Convolutional Neural Network for Columnar Cactus Recognition in Unmanned Aerial Vehicle Imagery
Recently, Convolutional Neural Networks (CNNs) have made a great performance for remote sensing image classification.
Weight Initialization Techniques for Deep Learning Algorithms in Remote Sensing: Recent Trends and Future Perspectives
During the last decade, several research works have focused on providing novel deep learning methods in many application fields.
