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Found 4 papers, 1 papers with code
Anticipating Optical Availability in Hybrid RF/FSO Links Using RF Beacons and Deep Learning
Radio frequency (RF) communications offer reliable but low data rates and energy-inefficient satellite links, while free-space optical (FSO) promises high bandwidth but struggles with disturbances imposed by atmospheric effects.
Large Language Models (LLMs) Assisted Wireless Network Deployment in Urban Settings
The advent of Large Language Models (LLMs) has revolutionized language understanding and human-like text generation, drawing interest from many other fields with this question in mind: What else are the LLMs capable of?
Time-Frequency Warped Waveforms for Well-Contained Massive Machine Type Communications
This paper proposes a novel time-frequency warped waveform for short symbols, massive machine-type communication (mMTC), and internet of things (IoT) applications.
Generalized Categorisation of Digital Pathology Whole Image Slides using Unsupervised Learning
The project uses a mixture of techniques ranging from classical clustering algorithms such as K-Means and Gaussian Mixture Models to more complicated feature extraction techniques such as deep Autoencoders and Multi-loss learning.
