International Journal of Science, Engineering and TechnologyAuthors: Mustaq Kunnur
Abstract: Recent breakthroughs in Artificial Intelligence (AI), Internet of Vehicles (IoV), Brain–Computer Interfaces (BCI), blockchain security, autonomous driving, and speech processing are reshaping intelligent communication and automation systems. This review synthesizes 60 contemporary research contributions across secure vehicular networks, interpretable transfer learning for BCI, LLM-assisted 6G IoV communication, federated edge learning, digital twins, and post-quantum blockchain frameworks. We highlight the paradigm shift from performance-driven AI toward trust-centric, interpretable, and quantum-resilient architectures. While state-of-the-art systems demonstrate remarkable gains—such as 89.7% accuracy in BCI applications and an 80% reduction in IoV verification overhead—the transition to pervasive edge-cloud environments exposes persistent challenges. Computational complexity, thermal throttling, data poisoning, and hardware dependencies remain critical barriers to scalable real-world deployment. Our analysis underscores both the promise and the unresolved hurdles of next-generation intelligent systems.
DOI: http://doi.org/10.5281/zenodo.20523052
