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Contactless Human Activity Recognition using Deep Learning with Flexible and Scalable Software Define Radio
Specifically, this study investigates the use of Wi-Fi channel state information (CSI) as a novel method of ambient sensing that can be employed as a contactless means of recognizing human activity in indoor environments.
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.
A Novel CNN-LSTM-based Approach to Predict Urban Expansion
Time-series remote sensing data offer a rich source of information that can be used in a wide range of applications, from monitoring changes in land cover to surveilling crops, coastal changes, flood risk assessment, and urban sprawl.
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks
Based on several parameters such as accuracy, precision, recall, F1 score, and log loss, we experimentally compared the aforementioned ML algorithms.
Deep Learning Techniques for Future Intelligent Cross-Media Retrieval
With the advancement in technology and the expansion of broadcasting, cross-media retrieval has gained much attention.
