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Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Calcium Imparts Advanced Functionalities to Silk Hydrogels for Biofabrication and Biomedical Innovation

Advanced Functional Materials, EarlyView.
The addition of calcium ions to silk fibroin enhances the hydrogel properties and, when combined with visible light crosslinking, enables compatibility with advanced light‐based fabrication techniques. Calcium ions extend the shelf‐life of silk and facilitate the fabrication of multizonal, multilayered constructs for advanced stimuli‐responsive ...
Hien A. Tran, Anton Maraldo, Chi Cong Nguyen, Trinh Thi‐Phuong Ho, Lauryn Srethbhakdi, Habib Joukhdar, Quinn van Hilst, Syamak Farajikhah, Fariba Dehghani, Thanh Nho Do, Khoon S. Lim, Jelena Rnjak‐Kovacina   +11 more
wiley   +1 more source

Biomass Native Structure Into Functional Carbon‐Based Catalysts for Fenton‐Like Reactions

Advanced Functional Materials, EarlyView.
This study indicates that eight biomasses with 2D flaky and 1D acicular structures influence surface O types, morphology, defects, N doping, sp2 C, and Co nanoparticles loading in three series of carbon, N‐doped carbon, and cobalt/graphitic carbon. This work identifies how these structural factors impact catalytic pathways, enhancing selective electron
Wenjie Tian, Jingkai Lin, Zhihao Tian, Selusiwe Ncube, Huayang Zhang, Emiliano Cortés, Hongqi Sun, Shaobin Wang   +7 more
wiley   +1 more source

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Joint Multi-Task Offloading and Resource Allocation for Mobile Edge Computing Systems in Satellite IoT

IEEE Transactions on Vehicular Technology, 2023
For multi-task mobile edge computing (MEC) systems in satellite Internet of Things (IoT), there are dependencies between different tasks, which need to be collected and jointly offloaded.
Furong Chai, Qi Zhang, Haipeng Yao, Xiangjun Xin, Ran Gao, M. Guizani   +5 more
semanticscholar   +1 more source

Task Partitioning and Offloading in DNN-Task Enabled Mobile Edge Computing Networks

IEEE Transactions on Mobile Computing, 2023
Deep neural network (DNN)-task enabled mobile edge computing (MEC) is gaining ubiquity due to outstanding performance of artificial intelligence. By virtue of characteristics of DNN, this paper develops a joint design of task partitioning and offloading ...
Mingjin Gao, R. Shen, Long Shi, Wen-xin Qi, Jun Li, Yonghui Li   +5 more
semanticscholar   +1 more source

Task Co-Offloading for D2D-Assisted Mobile Edge Computing in Industrial Internet of Things

IEEE Transactions on Industrial Informatics, 2023
Mobile edge computing (MEC) and device-to-device (D2D) offloading are two promising paradigms in the industrial Internet of Things (IIoT). In this article, we investigate task co-offloading, where computing-intensive industrial tasks can be offloaded to ...
Xingxia Dai, Zhu Xiao, Hongbo Jiang, M. Alazab, John C.S. Lui, Schaharam Dustar, Jiangchuan Liu   +6 more
semanticscholar   +1 more source

Joint Task Offloading and Resource Allocation for Energy-Constrained Mobile Edge Computing

IEEE Transactions on Mobile Computing, 2023
We consider the problem of task offloading and resource allocation in mobile edge computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile devices (MDs) may offload their tasks to edge servers based on the allocated ...
Hongbo Jiang, Xingxia Dai, Zhu Xiao, A. Iyengar   +3 more
semanticscholar   +1 more source

Wireless Powered Mobile Edge Computing Networks: A Survey

ACM Computing Surveys, 2023
Wireless Powered Mobile Edge Computing (WPMEC) is an integration of Mobile Edge Computing (MEC) and Wireless Power Transfer (WPT) technologies, to both improve computing capabilities of mobile devices and energy compensation for their limited battery ...
Xiaojie Wang, Jiameng Li, Zhaolong Ning, Qingyang Song, Lei Guo, Song Guo, M. Obaidat   +6 more
semanticscholar   +1 more source

AoI-Aware Scheduling for Air-Ground Collaborative Mobile Edge Computing

IEEE Transactions on Wireless Communications, 2023
As a way of providing users flexible computing services, networks exist that can make full use of air and ground computing resources. Such networks are called air-ground collaborative mobile edge computing (AGC-MEC) networks.
Zhen Qin, Zhenhua Wei, Yuben Qu, Fuhui Zhou, Hai Wang, Derrick Wing Kwan Ng, C. Chae   +6 more
semanticscholar   +1 more source

Middleware for Edge Devices in Mobile Edge Computing [PDF]

2021 36th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), 2021
In mobile edge computing, edge devices collect data, and an edge server performs computational or data processing tasks that need real-time processing. Depending upon the requested task's complexity, an edge server executes it locally or remotely in the cloud. When an edge server needs to offload its computational tasks, there could be a sudden failure
Manish Pandey, Young-Woo Kwon
openaire   +1 more source