Lossless data reduction is essential for data transmission over the Internet and the storage
of data in a digital device when data loss is not permitted. The application of image …

Data compression is a technique used to reduce the size of a file. To reduce the size of a file,
unnecessary information is removed or parts that repeat the same information are stored …

Deep neural networks are prevalent in supervised learning for large amounts of tasks such
as image classification, machine translation and even scientific discovery. Their success is …

In modern life, communication via text is becoming one of the most popular means of
communication. As a result, storing text in a small format or transferring it quickly over the …

This thesis delves into the problem of compressing data generated by mobile networks,
which are formed by many antennas and IoT devices, that emit huge quantities of …

Sažetak Artificial intelligence (AI) is increasingly shaping the landscape of education, with
models such as GPT (Generative Pre-trained Transformer) offering new possibilities to …

Run-Length Encoding (RLE) is a fundamental data compression technique that represents
consecutive occurrences of the same value, known as” runs”, as a single value and its count …

We present a novel approach for achieving plausible deniability in cryptography by
harnessing the power of large language models (LLMs) in conjunction with conventional …

Lossless image compression is a data compression method that reduces the file size of an
image without any loss of quality, meaning the original image can be perfectly reconstructed …

Data compression is a technique used to reduce the size of a file. To reduce the size of a file,
unnecessary information is removed or parts that repeat the same information are stored …