Titlebook: Neural Computing for Advanced Applications; 5th International Co Haijun Zhang,Xianxian Li,Qian He Conference proceedings 2025 The Editor(s)

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A Federated Learning Method for Non-intrusive Load Monitoring Based on Fed-Prox and Bi-GRUlts. Most existing NILM models are typically trained on data from an individual user, and thus may have poor performance when applied for load recognition of other users. Achieving load recognition across different households requires joint training of models with data collected from different users

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Qixuan Zhang,Jiale Chen,Haitao Wang,Xinyu Cao,Wei Jie,Tianyong Haol parkinsonism, including molecular processes, tissue integrity, and cerebral networks during inflammatory and neurodegenerative processes. The chapters in this book are organized into three parts and cover topics such as new developments of cerebral circuit characterizations and computational neuro

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Yao Chen,Yuming Shenfor the development of potential disease-delaying treatments. Toxins such as 6-hydroxydopamine (6-OHDA) or N-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) have long been known to cause Parkinson’s disease in susceptible humans when ingested accidentally. The neurotoxin 6-OHDA was used to create

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百科全书

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Jilin Zhang,Ke Huang,Yichen Li,Hao Zhu,Peiran Li,Menghua Zhangly, the incidence of AD is expected to double in the next 20 years. Yet, currently approved therapies provide only marginal short-term benefit. Thus, there is a critical need to accelerate translational research for AD. One area of study that has received increasing attention is the potential applic

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