Results 61 to 70 of about 31,148 (230)
A novel approach for ANFIS modelling based on Grey system theory for thermal error compensation [PDF]
, 2014 The fast and accurate modelling of thermal errors in machining is an important aspect for the implementation of thermal error compensation. This paper presents a novel modelling approach for thermal error compensation on CNC machine tools.
Abdulshahed, Ali +2 more
core +1 more source
Data‐driven analysis of the spatial dependence of grouting efficiency during tunnel excavation
Deep Underground Science and Engineering, EarlyView.Prediction of grouting efficiency using machine learning is enhanced by adopting a training strategy that accounts for the grouting process across multiple rounds. Abstract Grouting with water–cement mixtures is the most widely used and cost‐effective method for managing excess water inflow during tunnel construction.
Huaxin Liu, Xunchang Fei, Wei Wu
wiley +1 more source
مجله انفورماتیک سلامت و زیست پزشکی, 2020 Introduction: The metastasis of breast cancer, the spread of cancer to different body parts, is considered as one of the most important factors responsible for the majority of deaths caused by breast cancer in women.
Arezou HomaieFasih +2 more
doaj
Comparison of adaptive neuro-fuzzy inference system (ANFIS) and Gaussian processes for machine learning (GPML) algorithms for prediction of skin temperature in lower limb prostheses [PDF]
, 2016 Monitoring of the interface temperature at skin level in lower-limb prosthesis is notoriously complicated. This is due to the flexible nature of the interface liners used impeding the required consistent positioning of the temperature sensors during ...
Buis, Arjan, Glesk, Ivan, Mathur, Neha
core +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
Deep Underground Science and Engineering, EarlyView.A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Journal of Low Frequency Noise, Vibration and Active Control, 2020 In this study, vibration control was achieved using macro fiber composite actuators initiated by feedback from polyvinylidene difluoride (PVDF) membrane sensors.
Wen-Lin Chu, Chih-Jer Lin, Ming-Jia Li
doaj +1 more source
PERAMALAN INDEKS HARGA SAHAM GABUNGAN (IHSG) DENGAN WAVELET ADAPTIVE NEURO FUZZY INFERENCE SYSTEM [PDF]
, 2017 Indeks Harga Saham Gabungan (IHSG) adalah nilai representatif dari semua harga saham yang tercatat di Bursa Efek Indonesia (BEI). Oleh karena itu, IHSG dapat dimanfaatkan oleh investor untuk memantau pergerakan serta perkembangan harga saham di Indonesia.
Abadi, Agus Maman, Masyhuda, Muhammad
core
An exTS based Neuro-Fuzzy algorithm for prognostics and tool condition monitoring.
, 2010 International audienceThe growing interest in predictive maintenance makes industrials and researchers turning themselves to artificial intelligence methods for fulfilling the tasks of condition monitoring and prognostics.
Gouriveau, Rafael +4 more
core +2 more sources
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Epilepsia Open, EarlyView.Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Employment of a Least Square Support Vector Regression Model for Predicting the Gasification Process [PDF]
Advances in Engineering and Intelligence SystemsBiomass fuels, with minimal sulfur content, lower ash production, and reduced emissions, offer a reliable alternative to fossil fuels. The global requirements to decrease dependencies on imported energy and conserve fossil reserves highlight the ...
Afshar Shokri +2 more
doaj +1 more source