Foundational AI in Insurance and Real Estate: A Survey of Applications, Challenges, and Future Directions

K Kuppan, DB Acharya, B Divya - IEEE Access, 2024 - ieeexplore.ieee.org
This paper provides a comprehensive survey on the applications, challenges, and future
directions of Artificial Intelligence (AI) in the insurance and real estate sectors. We explore …

BlackIceNet: Explainable AI-Enhanced Multimodal for Black Ice Detection to Prevent Accident in Intelligent Vehicles

M Golam, AM Tayeb, MA Khatun… - IEEE Internet of …, 2025 - ieeexplore.ieee.org
The advancement of intelligent transport systems and the rise of autonomous vehicles offer
significant potential for reducing road accidents. However, mountainous regions, such as …

[HTML][HTML] The Future of Education: A Multi-Layered Metaverse Classroom Model for Immersive and Inclusive Learning

LN Yeganeh, NS Fenty, Y Chen, A Simpson, M Hatami - Future Internet, 2025 - mdpi.com
Modern education faces persistent challenges, including disengagement, inequitable
access to learning resources, and the lack of personalized instruction, particularly in virtual …

BLM-Chain: AI-Driven Blockchain for UAV Threat Resistance in IoBT

M Golam, MM Alam, DS Kim… - 2024 15th International …, 2024 - ieeexplore.ieee.org
The rapid expansion of the Internet of Battlefield Things (IoBT) has introduced significant
vulnerabilities, particularly concerning unmanned aerial vehicles (UAVs) that are …

Transforming Nano Grids to Smart Grid 3.0: AI, Digital Twins, Blockchain, and the Metaverse Revolutionizing the Energy Ecosystem

H Zahid, A Zulfiqar, M Adnan, MS Iqbal, A Shah - Authorea Preprints, 2025 - techrxiv.org
This is the first of its kind systematic review paper that explores transformative architecture of
Smart Grid 3.0 by integrating cutting-edge technologies such as artificial intelligence (AI) …

[CITAS][C] Blockchain-Integrated Framework for Privacy-Preserving Clustering and Demand Response Optimization

MF Rahaman, M Golam, DS Kim, JM Lee - 한국통신학회 학술대회논문집, 2024 - dbpia.co.kr
Identifying suitable consumer clusters with similar energy consumption behaviors is a
complex task, particularly in the context of energy management for smart industrial …