Guest Editors
Prof. Hsin-Hung Cho
Email: hhcho@niu.edu.tw
Affiliation: Department of Computer Science and Information Engineering, National Ilan University, Yilan City Yilan County, Taiwan
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Research Interests: mobile networks, artificial intelligence, metaheuristic, information security, AI security
Prof. Shih-Yun Huang
Email: shihyh@thu.edu.tw
Affiliation: Department of Computer Science and Information Engineering, Tunghai University, Taichung City, Taiwan
Homepage:
Research Interests: 5G application and service, internet of vehicle, metaheuristics, mobile edge computing, artificial intelligence
Summary
With the increasing complexity of modern systems and infrastructures, ensuring their resilience and adaptability under resource, energy, and deployment constraints has become a critical challenge. Artificial Intelligence (AI) has emerged as a key enabler for building smart and resilient systems, particularly through efficient, lightweight, and deployable AI models that can operate in real-world environments.
This special issue aims to showcase cutting-edge research on AI-enabled smart resilience with an emphasis on lightweight and resource-efficient intelligence, covering methodologies, framework design, and cross-domain applications. Contributions are welcome from theoretical developments, empirical studies, and practical implementations that address efficiency, scalability, and on-device deployment, particularly in areas such as smart cities, AIoT, edge computing, cybersecurity, and digital transformation.
Topics of interest in this special issue include (but are not limited to):
· Lightweight and resource-efficient AI methodologies for smart resilient systems
· Frameworks and architectures for efficient and deployable AI-enabled resilience
· Intelligent systems for smart cities and infrastructures under resource and energy constraints
· Edge AI and AIoT for resilient systems with limited computation and memory
· Efficient cybersecurity and privacy-preserving AI for resource-constrained environments
· Compact and adaptive AI models for digital transformation
· Cross-domain integration and real-world case studies of lightweight AI deployment
· AI-supported decision-making with low-latency and low-complexity requirements
Keywords
artificial intelligence, lightweight and efficient AI, AI-enabled systems, smart resilience, resource-constrained intelligence, cybersecurity, image processing, IoT, edge computing, smart cities, decision support
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