[HTML][HTML] Next-generation energy systems for sustainable smart cities: Roles of transfer learning
Smart cities attempt to reach net-zero emissions goals by reducing wasted energy while
improving grid stability and meeting service demand. This is possible by adopting next …
improving grid stability and meeting service demand. This is possible by adopting next …
Monitoring fog computing: A review, taxonomy and open challenges
Fog computing is a distributed paradigm that provides computational resources in the users'
vicinity. Fog orchestration is a set of functionalities that coordinate the dynamic infrastructure …
vicinity. Fog orchestration is a set of functionalities that coordinate the dynamic infrastructure …
Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends
The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
Secure over-the-air software update for connected vehicles
Current trends forecast that Over-the-Air (OTA) software updates will be highly significant for
future connected vehicles. The OTA software updates will enable upgrading vehicle …
future connected vehicles. The OTA software updates will enable upgrading vehicle …
[HTML][HTML] Internet of Vehicles and real-time optimization algorithms: Concepts for vehicle networking in smart cities
Achieving sustainable freight transport and citizens' mobility operations in modern cities are
becoming critical issues for many governments. By analyzing big data streams generated …
becoming critical issues for many governments. By analyzing big data streams generated …
Data security enhancement in 4G vehicular networks based on reinforcement learning for satellite edge computing
The vehicular network provides the dedicated short-range communication (DSRC) with IEEE
802.11 p standard. The VANET model comprises of cellular vehicle-to-everything …
802.11 p standard. The VANET model comprises of cellular vehicle-to-everything …
Neural Network-Based Game Theory for Scalable Offloading in Vehicular Edge Computing: A Transfer Learning Approach
With the unprecedented scalability issues rising in vehicular edge computing (VEC), we
argue in this paper that the scalability, along with the remarkable growth of demands for …
argue in this paper that the scalability, along with the remarkable growth of demands for …
[PDF][PDF] Optimizing DNNs Model Partitioning for Enhanced Performance on Edge Devices.
M Al Maruf, A Azim - Canadian AI, 2023 - assets.pubpub.org
Abstract Deep Neural Networks (DNNs) have proven effective in various applications due to
their dominant performance. However, integrating DNNs into edge devices remains …
their dominant performance. However, integrating DNNs into edge devices remains …
Edge-Assisted Over-the-Air Software Updates
A Bhattacharjee, H Mahmood, S Lu… - 2023 IEEE 9th …, 2023 - ieeexplore.ieee.org
The imperative transformation of future con-nected vehicles into intelligent computing
platforms necessitates the implementation of Software-defined Vehicles (SDV s). SDV s …
platforms necessitates the implementation of Software-defined Vehicles (SDV s). SDV s …
Cognitive mobile computing for cyber-physical systems (cps)
A Azim, M Al Maruf - Towards a Wireless Connected World: Achievements …, 2022 - Springer
Abstract Cyber-Physical Systems (CPS) are combined with sensor networks that have
embedded computing ability to sense, monitor, and control the physical environment. Due to …
embedded computing ability to sense, monitor, and control the physical environment. Due to …