This paper introduces a selective image encryption framework for color imagery, emphasizing computational efficiency without compromising practical security. The core idea is to encrypt only the most informative and perceptually critical components of each pixel, while bypassing nonessential data to reduce processing cost; a full-encryption variant is implemented to enable apples-to-apples comp...

Information Retrieval (IR) has undergone a profound transformation in the field of Natural Language Processing (NLP), shifting from traditional keyword-based approaches to neural architectures and, more recently, to advanced generative Large Language Models (LLMs). Transformer-based models such as Bidirectional Encoder Representations from Transformers (BERT) have substantially improved semanti...

The exponential growth of data traffic and user demand in modern communication systems has significantly increased the complexity of data streaming and management in Beyond Fifth Generation (B5G) networks. These networks face critical challenges such as network congestion, traffic load imbalance, latency, energy consumption, spectrum inefficiency, and limited storage capacity for real-time cont...