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Found 3 papers, 2 papers with code
MODIPHY: Multimodal Obscured Detection for IoT using PHantom Convolution-Enabled Faster YOLO
Low-light conditions and occluded scenarios impede object detection in real-world Internet of Things (IoT) applications like autonomous vehicles and security systems.
Transformers for Green Semantic Communication: Less Energy, More Semantics
Semantic communication aims to transmit meaningful and effective information, rather than focusing on individual symbols or bits.
Deep-Mobility: A Deep Learning Approach for an Efficient and Reliable 5G Handover
In this method, RF signal conditions are continuously observed and tracked using deep learning neural networks such as the Recurrent neural network (RNN) or Long Short-Term Memory network (LSTM) and system level inputs are also considered in conjunction, to take a collective decision for a handover.
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