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[HTML][HTML] Modern computing: Vision and challenges
Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …
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 …
wave (EMW)-absorbing materials, especially concerning wide-spectrum absorption …
[PDF][PDF] Exploring the potential of AI-driven optimization in enhancing network performance and efficiency
The exponential growth of network complexity and data volume in modern digital
ecosystems has underscored the need for innovative approaches to optimize network …
ecosystems has underscored the need for innovative approaches to optimize network …
Edge AI: A taxonomy, systematic review and future directions
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 …
and devices that receive, cache, process, and analyse data in close communication with the …
Quantum computing: Vision and challenges
The recent development of quantum computing, which uses entanglement, superposition,
and other quantum fundamental concepts, can provide substantial processing advantages …
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
The swift proliferation of Internet of Things (IoT) devices has presented considerable
challenges in maintaining cybersecurity. As IoT ecosystems expand, they increasingly attract …
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 …
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
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 …
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
This research delves into the latest advancements in Natural Language Processing (NLP)
and their broader implications, challenges, and future directions. With the ever-increasing …
and their broader implications, challenges, and future directions. With the ever-increasing …
Blockchain and reinforcement neural network for trusted cloud-enabled IoT network
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 …
sectors is primarily driven by their ability to process real-time data and create intelligent …