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Generative adversarial network (GAN) and enhanced root mean square error (ERMSE): deep learning for stock price movement prediction
The prediction of stock price movement direction is significant in financial circles and academic. Stock price contains complex, incomplete, and...
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Square Root and Inverse Square Root
Adaptive computation of the square root and inverse square root of the real-time correlation matrix of a streaming sequence {xk∈ℜn} has numerous...
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Robust maximum correntropy criterion based square-root rotating lattice Kalman filter
Lattice Kalman filter (LKF) is a nonlinear Kalman filter that utilizes a deterministic sampling method with the advantages of optional sampling...
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An Enhanced Extreme Learning Machine Based on Square-Root Lasso Method
Extreme learning machine (ELM) is one of the most notable machine learning algorithms with many advantages, especially its training speed. However,...
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Zero root-mean-square error for single- and double-diode photovoltaic models parameter determination
The parameter determination based on experimental data aids in providing an accurate assessment for predicting the output current of the PV cells....
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Comparison of Root Mean Square Index and Hilbert-Huang Transform for Detection of Muscle Activation in a Person with Elbow Disarticulation
An active prosthesis is a device developed to substitute an absent limb of the human body supplying its functionalities without neglecting the...
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Development of Noise Tolerant Document Image Binarization Technique Employing an Accurate Square Root Circuit
Stochastic computing (SC) is a re-emerging paradigm that is inherently immune towards noise and shows low area and power implementation of...
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A Method of Square Root Central Difference Kalman Filter for Target Motion Analysis
The central differential Kalman filter (CDKF) and square root central differential Kalman filter (SR-CDKF) are widely used methods for addressing...
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Generalized complex kernel least-mean-square algorithm with adaptive kernel widths
A novel variable kernel width generalized complex-valued least mean-square (VKW-GCKLMS) algorithm aims to optimize kernel width in online way to...
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Research on Outdoor AGV Localization Method Based on Adaptive Square Root Cubature Kalman Filter
Accurate and reliable positioning is crucial for the safe operation of AGVs in complex and dynamic outdoor environments. An adaptive square root...
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Improved cross sample entropy with error-metric based cardiac variability time series evaluation
The cardiac rate variability analysis is a tool used to diagnose pathological and physiological variations in subjects in the premature stages. The...
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Analyzing the performance of geometric mean optimization-based artificial neural networks for cryptocurrency forecasting
In this study, we utilize a recently proposed non-parametric metaheuristic algorithm known as geometric mean optimization (GMO) to adjust the hidden...
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Study of Machine Learning Models for IoT Based Efficient Classroom Usage
This paper presents performance analysis and comparison of machine learning algorithms for future use in a smart campus framework. The following...
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OptiSembleForecasting: optimization-based ensemble forecasting using MCS algorithm and PCA-based error index
Ensemble forecasts from multiple models have gained enormous popularity as it provides a more efficient forecast as compared to the individual...
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Corner error reduction by Chebyshev transformed orthogonal grid
In the context of surrogate-based optimization, the efficient global exploration of the design space strongly relies on the overall accuracy of the...
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Error-free and mean value based reversible data hiding using gravitational search algorithm in encrypted images
In recent years the data hiding on encrypted image is significant topic for data security. Due to its capability for preserving confidentiality,...
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Miniature Soil Moisture Sensors for a Root-Inspired Burrowing Growing Robot
This paper shows the implementation of miniature sensors for soil moisture measurement and their integration in a root-inspired burrowing growing...
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Comparative Performance Evaluation of Random Forest, Extreme Gradient Boosting and Linear Regression Algorithms Using Nigeria’s Gross Domestic Products
Statistical methods like linear regression analysis are frequently used to create predictive analytic models. However, these methods have limitations...
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A new hybrid strategy in medical image registration based on graph transformation matching and mean-based RANSAC algorithms
Medical image registration is a preprocessing stage in a variety of applications such as change detection and mosaicking. Matching is one of the...
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Broad learning system based on the quantized minimum error entropy criterion
The broad learning system (BLS) based on the minimum mean square error (MMSE) criterion can achieve outstanding performance without spending too much...