A5066847496- Advancements in Battery Materials
- Advancements in Solid Oxide Fuel Cells
- Conducting polymers and applications
- Advanced Battery Materials and Technologies
- Aluminum Alloys Composites Properties
- Advanced Photonic Communication Systems
- Advanced Welding Techniques Analysis
- Advanced Battery Technologies Research
- Digital Media and Visual Art
- Corrosion Behavior and Inhibition
- Advanced Optical Network Technologies
- Advanced ceramic materials synthesis
- IoT and Edge/Fog Computing
- Optical Network Technologies
- Supercapacitor Materials and Fabrication
- Metal and Thin Film Mechanics
- Privacy-Preserving Technologies in Data
- Additive Manufacturing Materials and Processes
- Fuel Cells and Related Materials
- Industrial Vision Systems and Defect Detection
- Extraction and Separation Processes
- Cryptography and Data Security
- Advanced battery technologies research
- Chemical Looping and Thermochemical Processes
- Metallurgy and Material Forming
Northeastern University
2016-2025
TU Wien
2025
General Research Institute for Nonferrous Metals (China)
2024
State Key Laboratory of Nonferrous Metals and Processes
2024
Grinm Advanced Materials (China)
2024
Beihang University
2012-2024
Xianyang Normal University
2024
Shanghai University
2023
Universiti Malaysia Sarawak
2023
Universidad del Noreste
2022
Core–shell or concentration-gradient structures have been reported to improve the structural and chemical stability of Ni-rich electrode materials; however, a core–shell structure for cobalt-free systems has not yet studied. In this work Ni(OH)2 core:Ni0.83M0.17(OH)2 shell precursors (M = Mg, Al, Mn) were prepared in continuously stirred tank reactor. Homogeneous Ni0.95M0.05(OH)2 having same average composition as also prepared. Cross-sectional scanning electron microscopy verified all...
Abstract In geotechnical engineering, it is crucial to make sure that the undrained shear strength (USS) of soft, sensitive clays accurately assessed. The accuracy in forecasting USS pivotal for ensuring structural integrity and stability foundations earthworks. Addressing this concern, advanced data-driven NB techniques are utilized disclose complex interactions with basic soil parameters. This paper presents a novel methodology prediction soft using machine learning techniques,...
Recently, most of the Internet things (IoT) infrastructures are highly centralized with single points failure, which results in serious security and privacy issues IoT data. Fortunately, blockchain technique can provide a decentralized secure framework to deal based on characteristics decentralization, non-tampering, openness, transparency, traceability. However, consensus protocol guarantees safety reliability data, but it also brings problems such as scalability limitations poor storage...
Cross-silo federated learning (FL) is a privacy-preserving distributed machine where organizations acting as clients cooperatively train global model without uploading their raw local data. Recently, the cross-silo FL in multiaccess edge computing (MEC) used increasing industrial applications. Most existing research on pays attention to performance aspect, ignoring incentive mechanism for high-quality client selection and long participation training efficient stable FL, which has prevented...
Federated learning stands out as a promising approach within the domain of edge computing, providing framework for collaborative training on distributed datasets without necessitating data sharing. However, federated involves frequent transmission machine model updates between server and clients, resulting in high communication costs. Additionally, heterogeneous clients can further complicate Learning process deteriorate performance. To address these challenges, we propose adaptive...
Hadoop Distributed File System (HDFS) has been widely adopted to support Internet applications because of its reliable, scalable and low-cost storage capability. Blue Sky, one the most popular e-Learning resource sharing systems in China, is utilizing HDFS store massive courseware. However, due inefficient access mechanism HDFS, latency reading files from significantly impacts performance processing user requests. This paper introduces a two-level correlation based file prefetching approach,...