Results 51 to 60 of about 8,140,064 (302)

Multiple-Instance Learning Approach via Bayesian Extreme Learning Machine

IEEE Access, 2020
Multiple-instance learning (MIL) can solve supervised learning tasks, where only a bag of multiple instances is labeled, instead of a single instance.
Peipei Wang, Xinqi Zheng, Junhua Ku, Chunning Wang   +3 more
doaj   +1 more source

Hybrid regression model via multivariate adaptive regression spline and online sequential extreme learning machine and its application in vision servo system

International Journal of Advanced Robotic Systems, 2022
To solve the problems of slow convergence speed, poor robustness, and complex calculation of image Jacobian matrix in image-based visual servo system, a hybrid regression model based on multiple adaptive regression spline and online sequential extreme ...
Zhiyu Zhou, Jiangfei Ji, Yaming Wang, Zefei Zhu, Ji Chen   +4 more
doaj   +1 more source

Application of Empirical Mode Decomposition and Extreme Learning Machine Algorithms on Prediction of the Surface Vibration Signal

Energies, 2021
Accurately predicting surface vibration signals of diesel engines is the key to evaluating the operation quality of diesel engines. Based on an improved empirical mode decomposition and extreme learning machine algorithm, the characteristics of diesel ...
Yan Shen, Ping Wang, Xuesong Wang, Ke Sun   +3 more
doaj   +1 more source

Diagram of the extreme learning machine [34].

, 2018
Diagram of the extreme learning machine [34].
Mahmoud A. M. Sammour (5122019), Musatafa Abbas Abbood Albadr (5122013), Fahad Taha AL-Dhief (5122016), Sabrina Tiun (801713)   +3 more
core   +1 more source

From energy provision to protein synthesis: Tunnelling nanotubes as mediators of intercellular metabolic cooperation in cancer

FEBS Open Bio, EarlyView.
The cytoskeleton‐mediated transport of mitochondria via tunnelling nanotubes restores respiration, increases ATP production, rescues cells from apoptosis, activates the AKT/mTOR signalling pathway, promotes cell migration and invasiveness, contributes to cancer progression and treatment resistance.
Stanislava Martínková, Jan Trnka
wiley   +1 more source

An Algorithm, Based on Extreme Machine Learning, for Modeling Rate of Material Transfer in EDC Process [PDF]

فناوری در مهندسی هوافضا, 2019
In this paper, Extreme Learning Machine method is used to model the rate of material transfer as an effective parameter in process speed and surface quality.
Moohamadreza Maraki, Hadi Tagimalek, Majid Azargoman, Ramin Karami   +3 more
doaj  

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit, Chiranth K. Nagaraj, Jackson S. Newell, Kim Truc Nguyen, Xilal Y. Rima, Jacob Doon‐Ralls, Eduardo Reátegui, Jeffrey M. Statland, Rabi Tawil, Kevin M. Flanigan, Scott Q. Harper, Nizar Y. Saad   +11 more
wiley   +1 more source

Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane, Valentina Giunchiglia, Michael C. B. David, Magdalena A. Kolanko, William R. Trender, Peter J. Hellyer, Harmeena Kaur, David J. Sharp, Christopher Carswell, Paresh A. Malhotra, Adam Hampshire   +10 more
wiley   +1 more source

Robust kernel-based model reference adaptive control for unstable aircraft

Advances in Mechanical Engineering, 2016
In this article, a robust kernel-based model reference adaptive control is proposed for an unstable nonlinear aircraft. The heart of the proposed kernel-based model reference adaptive control scheme comprises an offline neural identifier and an online ...
Zhao-Xu Yang, Guang-She Zhao, Rong-Jing Bao, Hai-Jun Rong, Lei-Tao Gao   +4 more
doaj   +1 more source

Learning labelled dependencies in machine translation evaluation [PDF]

, 2009
Recently novel MT evaluation metrics have been presented which go beyond pure string matching, and which correlate better than other existing metrics with human judgements.
He, Yifan, Way, Andy
core   +2 more sources