Results 101 to 110 of about 8,140,064 (302)
Advanced Functional Materials, EarlyView.An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi +7 more
wiley +1 more source
An Enhanced Deep Extreme Learning Machine for Integrated Modular Avionics Health State Estimation
IEEE Access, 2018 Integrated modular avionics (IMA) is one of the most advanced systems whose performance deeply impact on the security of civil aircraft. In order to enhance the safety and reliability of aircraft, the health state of the IMA must be estimated accurately.
Zehai Gao, Cunbao Ma, Zhiyu She, Xu Dong
doaj +1 more source
Extreme learning machine based transfer learning algorithms: A survey
, 2017 Extreme learning machine based transfer learning algorithms: A ...
SM Salaken (14457060) +3 more
core
Jatropha Curcas Disease Identification With Extreme Learning Machine [PDF]
, 2018 Jatropha is a plant that has many functions, but this plant can be attacked by various diseases. Expert systems can be applied in identifying so that can help both farmers and extension workers to identify the disease.
Yusuf Priyo Anggodo +9 more
core +1 more source
Advanced Functional Materials, EarlyView.Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee +9 more
wiley +1 more source
Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Regularized manifold information extreme learning machine
Tongxin xuebao, 2016 By exploiting the thought of manifold learning and its theoretical method, a regularized manifold information ex-treme learning machine algorithm aimed to depict and fully utilize manifold information was proposed.
De-shan LIU, Yong-he CHU, De-qin YAN
doaj +2 more sources
Predicting China's Economic Running State Using Machine Learning
MATEC Web of Conferences, 2018 China's business index of macro-economic includes early warning index, coincidence index, leading index and lagging index, among which early warning index reflects the economic running state.
Luo Jianxiang, Fu Yonggang
doaj +1 more source
Advanced Materials, EarlyView.This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source