[HTML][HTML] Modern computing: Vision and challenges

SS Gill, H Wu, P Patros, C Ottaviani, P Arora… - … and Informatics Reports, 2024 - Elsevier
Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …

Mechanisms, design, and fabrication strategies for emerging electromagnetic wave-absorbing materials

G Chen, Z Li, L Zhang, Q Chang, X Chen, X Fan… - Cell Reports Physical …, 2024 - cell.com
The rapid development of intelligent devices imposes new demands on electromagnetic
wave (EMW)-absorbing materials, especially concerning wide-spectrum absorption …

[PDF][PDF] Exploring the potential of AI-driven optimization in enhancing network performance and efficiency

UJ Umoga, EO Sodiya… - Magna Scientia …, 2024 - pdfs.semanticscholar.org
The exponential growth of network complexity and data volume in modern digital
ecosystems has underscored the need for innovative approaches to optimize network …

Edge AI: A taxonomy, systematic review and future directions

SS Gill, M Golec, J Hu, M Xu, J Du, H Wu, GK Walia… - Cluster …, 2025 - Springer
Abstract Edge Artificial Intelligence (AI) incorporates a network of interconnected systems
and devices that receive, cache, process, and analyse data in close communication with the …

Quantum computing: Vision and challenges

SS Gill, O Cetinkaya, S Marrone, D Claudino… - arxiv preprint arxiv …, 2024 - arxiv.org
The recent development of quantum computing, which uses entanglement, superposition,
and other quantum fundamental concepts, can provide substantial processing advantages …

[HTML][HTML] Systematic review of deep learning solutions for malware detection and forensic analysis in IoT

SU Qureshi, J He, S Tunio, N Zhu, A Nazir… - Journal of King Saud …, 2024 - Elsevier
The swift proliferation of Internet of Things (IoT) devices has presented considerable
challenges in maintaining cybersecurity. As IoT ecosystems expand, they increasingly attract …

A comprehensive review of AI techniques for resource management in fog computing: Trends, challenges and future directions

D Alsadie - IEEE Access, 2024 - ieeexplore.ieee.org
Fog computing (FC), extending cloud services to the network edge, has emerged as a key
paradigm for low-latency applications like the Internet of Things (IoT). However, efficient …

[HTML][HTML] Impact of artificial intelligence on the planning and operation of distributed energy systems in smart grids

P Arévalo, F Jurado - Energies, 2024 - mdpi.com
This review paper thoroughly explores the impact of artificial intelligence on the planning
and operation of distributed energy systems in smart grids. With the rapid advancement of …

[HTML][HTML] Advancements in natural language processing: Implications, challenges, and future directions

AP Wibawa, F Kurniawan - Telematics and Informatics Reports, 2024 - Elsevier
This research delves into the latest advancements in Natural Language Processing (NLP)
and their broader implications, challenges, and future directions. With the ever-increasing …

Blockchain and reinforcement neural network for trusted cloud-enabled IoT network

JK Samriya, S Kumar, M Kumar, M Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The rapid integration of Internet of Things (IoT) services and applications across various
sectors is primarily driven by their ability to process real-time data and create intelligent …