This project presents a hybrid lossless compression system that combines an LSTM-based Recurrent Neural Network (RNN) with Arithmetic Coding. Traditional algorithms like Shannon–Fano use static ...

This project is an exploration of using AI coding techniques, to implement arithmetic coding compression specifically for Protocol Buffers, and specialize the field models for Meshtastic packets. This ...

Abstract: The proposed compression mechanism in this paper has been researched plainly in mobile phone that uses Android operating system. The aim of this proposal is to optimize the maximum character ...

Abstract: Embedded computing systems are space and cost sensitive. Memory is one of the most restricted resources that post serious constraints on program size. Code compression, which is a special ...

ABSTRACT: This paper presents a new method of lossless image compression. An image is characterized by homogeneous parts. The bit planes, which are of high weight are characterized by sequences of 0 ...