Search Results - (( model validation ((mead algorithm) OR (_ algorithm)) ) OR ( risk estimation system algorithm ))
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1
Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score
Published 2021“…The NLHRS and their associated models which are the outputs of novel methodology provide valid and simple forms of risk scores and can be used without automated systems.…”
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2
Inertial sensor-based instrumented cane for real-time walking cane kinematics estimation
Published 2020“…First, the contact phase of the cane was estimated by a convolutional neural network. Next, various algorithms for the cane orientation estimation were compared and validated using an optical motion capture system. …”
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3
Optimizing the SEIRD model for COVID-19 in Malaysia using pymoo framework
Published 2025“…To solve this, the Nelder-Mead and Pattern Search algorithms were recommended. …”
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4
Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models: A review
Published 2015“…Given the widespread adoption of GLUE analyses for a broad range or problems, it is appropriate that the validity of the approach be examined with care. In this article, we present an overview of the application of GLUE for assessing uncertainty distribution in hydrological models particularly surface and subsurface hydrology and briefly describe algorithms for sampling of the prior parameter in hydrologic simulation models.…”
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5
All-in-1 adverse drug reaction reporting system / Long Chiau Ming … [et al.]
Published 2014“…Values obtained from this algorithm are used in peer reviews to verify the validity of reporter’s conclusion regarding ADRs. …”
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6
A framework for automatic modelling of survival using fuzzy inference.
Published 2012“…In this paper, we present a framework for modelling survival utilising the application of the ANFIS fuzzy inference system. …”
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7
Wastewater treatment process: a modified model for oxidation pond
Published 2021“…The model has been solved numerically by using the 4th order Runge-Kutta method and a parameter fitting technique namely Nelder-Mead simplex algorithm embedded in MATLAB software. …”
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8
Predictive analytic dashboard for desalter and crude distillation unit
Published 2018“…The proposed predictive analytical model was validated within the proposed dashboard system. …”
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9
Application of Machine Learning and Deep Learning Algorithms for Landslide Susceptibility Assessment in Landslide Prone Himalayan Region
Published 2025“…In recent years, statistical methods and, increasingly, machine learning-based approaches have gained popularity for landslide susceptibility modeling. This study employs various machine learning and deep learning algorithms, specifically Random Forest (RF), Artificial Neural Network (ANN), and Deep Learning Neural Network (DLNN), to estimate landslide susceptibility in Chamoli district, Uttarakhand, India?…”
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Simulation of COVID-19 outbreaks via graphical user interface (GUI)
Published 2021“…Background: This research aimed to model the outbreak of COVID-19 in Malaysia and develop a GUI-based model. …”
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11
Mathematical modelling of covid-19 transmission and vaccine effectiveness for a university
Published 2024“…The models were numerically solved using the Runge Kutta fourth order method (RK4) and parameter fitting techniques namely Pattern Search and Nelder-Mead Simplex algorithm embedded in MATLAB software. …”
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12
Embedded Dual Band Rfid Based Blood Glucose Monitoring System For Internet Of Medical Things
Published 2020“…In order to reduce the risks of error for patients with diabetes, a new design of wireless blood glucose monitoring system with the embedment of dual band RFID for Internet of Medical Things is being developed. …”
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13
Mathematical model for predicting the performance of photovoltaic system with delayed solar irradiance
Published 2023“…The numerical solution is obtained by adopting the Runge Kutta method coupled with a parameter fitting technique, the Nelder Mead algorithm, which is implemented by using MATLAB software. …”
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14
Mathematical model for predicting the performance of photovoltaic system with delayed solar irradiance
Published 2024“…The numerical solution is obtained by adopting the 4th-order Runge Kutta method coupled with a parameter fitting technique, the Nelder Mead algorithm, which is implemented by using MATLAB software. …”
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15
A comparative study on aviation arrival delay prediction using machine learning methods
Published 2023“…The top three delay causes are identified as aircraft arriving late, National Aviation System (NAS) delay and air carrier delay. This research aims to identify the most important features for flight delay prediction, build supervised machine learning algorithms (i.e., logistic regression (LR), random forest (RF) and artificial neural network (ANN)) for predicting flight arrival delay and compare the performances of the methods. …”
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16
Around view monitoring system with motion estimation in ADAS application
Published 2019“…Here, proposed an AVM system that will integrate with the motion estimation algorithm to produce a good result. …”
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Proceeding Paper -
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A Risk Assessment of Transmission Line Overload Based on MLSI/PSO
Published 2019“…The risk of transmission line overload in IEEE30 bus system with wind-solar complementary generation unit is evaluated. …”
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Decision Support Approach to Computerize Maintenance Management System: Development and Implementation in Food Processing Industry
Published 2008“…In fact, these downtimes can be forecasted and managed more effectively if an organization takes preemptive measures using artificial intelligence techniques such as data mining, neural networks, genetic algorithm etc. This will provide good estimate to predict next failures. …”
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19
Ensemble Dual Algorithm Using RBF Recursive Learning for Partial Linear Network
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20
Algorithm of local features fusion and modified covariance-matrix technique for hand motion position estimation and hand gesture trajectory tracking approach
Published 2020“…However, in any dynamic hand gesture recognition system, dynamic hand gesture tracking is a very hard task, where position estimation over video frames for freely moving hand in the air is quite challenging. …”
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