Results 151 to 160 of about 599,706 (282)

M-estimation activation functions for high-performance extreme learning machine ensemble classification. [PDF]

Sci Rep
Alimi F, Khan A, Ali H, Bouzidi M, Alshammari AO, Ahmad B.   +5 more
europepmc   +1 more source

Retraction: Cerebral microbleed detection via convolutional neural network and extreme learning machine. [PDF]

Front Comput Neurosci, 2023
Frontiers Editorial Office.
europepmc   +1 more source

Multicohort Validation of Gut Microbiome Signatures for Cholangiocarcinoma Diagnosis and Functional Characterization of Bifidobacterium Pseudocatenulatum

Advanced Science, EarlyView.
This study analyzes gut bacteria in cholangiocarcinoma patients, revealing distinct microbial signatures that enable accurate disease detection. Species‐based diagnostic models achieved over 98% accuracy in identifying cholangiocarcinoma and distinguished it from other liver diseases. The research demonstrates that specific beneficial bacteria suppress
Benchen Rao, Jianwen Jiang, Ruiqing Zhang, Dongya Zhang, Chenchen Zhang, Ang Li, Haifeng Lu, Hua Zhang, Lin Zhou, Wenzhi Guo, Peihao Wen, Jianfeng Xue, Jie Pan, Tuerganaili Aji, Zhou Lan, Xianzhi Jiang, Shusen Zheng, Zujiang Yu, Zhigang Ren   +18 more
wiley   +1 more source

Physics-informed extreme learning machine (PIELM) for consolidation around an expanded cylindrical cavity. [PDF]

PLoS One
Pang CQ, Zhang ZH, Chen SH, Yue HY, Zhang Y.   +4 more
europepmc   +1 more source

NanoLoop: A Deep Learning Framework Leveraging Nanopore Sequencing for Chromatin Loop Prediction

Advanced Science, EarlyView.
Chromatin loops are central to gene regulation and 3D genome organization. Leveraging Nanopore sequencing's ability to jointly capture DNA sequence and methylation, we present NanoLoop, the first framework for genome‐wide chromatin loop prediction using Nanopore data.
Wenjie Huang, Li Tang, Matthew C. Hill, Yonghao Zhang, Jun Xie, Min Li   +5 more
wiley   +1 more source

A novel hybrid extreme learning machine-based diagnosis model for sensor node faults in aquaculture. [PDF]

Sci Rep
Shi B, Gao Z, Pu T, Jiang J, Sun Y.
europepmc   +1 more source

Voting based double-weighted deterministic extreme learning machine model and its application. [PDF]

Front Neurorobot, 2023
Lu R, Luo L, Liao B.
europepmc   +1 more source

Recent Advances and Perspectives on Field‐Effect Transistors for Artificial Visual Neuromorphic Systems

Advanced Science, EarlyView.
This review presents a comprehensive overview of FET‐based visual neuromorphic systems, covering their semiconductor materials, core device architectures, and operating mechanisms. It further reviews their implementation in emulating biological visual functions, addresses current technological challenges, and outlines future development directions. The
Liu Yaqian, Lang Menghua, Xu Yihang, Zhang Manyu, Lei Chunkang, Lu Xiaozhou, Dou Yi, Wang Lingli, Jiang Liying, Hu Yuanyuan, Chen Huipeng, Jiang Lang   +11 more
wiley   +1 more source

Complex Environmental Geomagnetic Matching-Assisted Navigation Algorithm Based on Improved Extreme Learning Machine. [PDF]

Sensors (Basel)
Huang J, Hu Z, Yi W.
europepmc   +1 more source

Transforming Grain‐Boundary Brittle Precipitates to Ductility Pathways in Complex Concentrated Alloy

Advanced Science, EarlyView.
By engineering graded BCC/L12 interfaces, brittle precipitates in a complex concentrated alloy enable sequential deformation, realizing gigapascal strength with >20% elongation to solve the strength‐ductility trade‐off. ABSTRACT Conventional wisdom holds that hard grain‐boundary (GB) precipitates embrittle structural alloys by acting as crack ...
Zhixin Li, Xiao‐Tong Li, Zhaoqi Chen, Yushan Geng, Hao Gong, Sijia Hu, Wenli Song, Wanshun Xia, Chuanzheng Li, Linfa Peng, Yue Fan, Pengfei Guan, Bo Zhang, Weihua Wang, Yong Yang   +14 more
wiley   +1 more source