This project addresses a variant of a convolutional autoencoder model that aims to predict segmentation masks, i.e., learning the characteristics of an object in an image and creating pixel-level ...
Cybersecurity has always been the focus of Internet research. Malware refers to software intentionally designed to harm computer systems, networks, ...
Abstract: Intelligent Transportation Systems (ITS) is pivotal to smart city development, relying on Internet of Things (IoT) sensors deployed along roadways. In ITS, traffic flow prediction plays a ...
FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...
Multi-model fusion approaches have been increasingly adopted in skeleton-based human action recognition tasks. However, these methods often adopt a strategy of training models separately before fusion ...
An autoencoder is a specialized type of neural network that learns to compress and then reconstruct data. It consists of two main parts: Encoder: Takes the input image and compresses it into a ...
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