The Internet of Vehicles (IoV) has greatly influenced transportation by allowing autonomous vehicles to interact and communicate with other cars as well as with the surrounding traffic system. Even so, being interconnected comes with risks in terms of cyber attacks, for example, by injecting message...

A fixed-time adaptive optimal parameter estimation (FxT-AOPE) scheme is proposed to address the difficulties in estimating dead zone parameters and slow convergence speed of tracking errors in permanent magnet synchronous motor systems. First, the continuous piecewise linear neural network is used t...

The editorial highlights the urgent need for global action to adopt post-quantum cryptographic standards, as quantum computing threatens current encryption systems, with significant financial and strategic challenges ahead.

Quantum–based models are used to improve the Internet of Things (IoT) ecosystems' efficiency, storage capacity, processing speed, and security. These models investigate quantum effects such as subluminality/superluminality, time delay, and phase shifting to achieve the mentioned goals. Mostly, these...

Integration of distributed generation and renewable energy resources in contemporary power systems necessitates sophisticated control techniques to maintain efficiency and stability. Adaptive fuzzy control (AFC) mechanisms introduce a smart methodology for handling uncertainty and variability in vir...

This review article covers the comprehensive incorporation of nanotechnology into cartilage tissue engineering. Specifically, nano-engineered scaffolds which replicate the hierarchical architecture of native cartilage, providing biomechanical support while promoting chondrocyte attachment and extrac...

The rapid expansion of edge computing and Internet of Things (IoT) ecosystems has introduced new cybersecurity challenges, particularly in decentralized, resource-constrained environments where traditional security models often fall short. This paper proposes an immune-inspired artificial intelligen...

Depression affects approximately 280 million people worldwide, yet remains substantially underdiagnosed due to the limitations of clinical assessment tools. This systematic review synthesizes 38 studies (2013--2025) on AI-based depression detection across voice, facial expression, physiological sig...

The continuous rise in global atmospheric carbon dioxide has profoundly altered climate patterns and the spatiotemporal balance of hydrothermal conditions at regional scales. Understanding species’ responses to climatic factors is thus critical for biodiversity conservation. This study focuses on Pi...

With the increasing complexity of neural network models, the Network-on-Chip (NoC) has become a critical communication backbone in heterogeneous computing architectures. However, existing NoC simulation tools often fall short in supporting diverse computational units such as matrix processors and RI...