592 hasil
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Journal of Algorithms & Computational Technology
Scopus
ISSN 1748-3018 · SAGE Publishing · 592 artikel di indeks
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Artikel Jurnal
A reliable algorithm based on Haar wavelet and Runge-Kutta method for the numerical solutions of (1+1)- and (1+2)-dimensional nonlinear parabolic partial differential equations
This study addresses the approximate solution of (1+1)- and (1+2)-dimensional nonlinear parabolic partial differential equations with initial and Dirichlet boundary conditions. The proposed hybrid scheme integrates the Haar wavelet with the fourth-order Runge-Kutta (RK-4) method. Spatial…
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Artikel Jurnal
Safety risk prediction based on improved particle swarm optimization and least squares support vector machine
To address low accuracy, difficult parameter determination, and inefficient data use in safety risk prediction, this study proposes an intelligent prediction framework. It uses rough set theory to preprocess data (eliminate incompleteness, discretize continuous data, remove redundancy) and…
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Lower bound on the information-loss incurred by compressing a depth-2 feed-forward layer of transformer into a single fully connected layer
We consider the compression of a depth-2 feed-forward layer of Transformer into a single fully connected layer. To model this, we take a binary vector with independent entries as input. We define the event A to be that for two disjoint subsets of size k of the 0 , 1 entries of the vector, all…
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Artikel Jurnal
Higher mathematical research on the relationship between singular values and eigen values based on differential equations
In this article, the connection between eigenvalues and singular values of the linear dynamical systems is thoroughly examined in the context of differential equations. Eigenvalues have been historically applied in establishing the asymptotic stability of systems but the singular values would give…
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Robustness of higher-order regression using repeated medians
In this work, we extend the concept of robust regressions via repeatedly taking the median to nonlinear functions. In the presented method, two nested medians – the Siegel slope – are taken of the n th data derivative for each evaluated polynomial order n , beginning at the highest one. Lower-order…
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AI-based personalized sports training plan generation system: A multi-community ranking framework
We propose a scalable hybrid multi-modal framework for personalized sports training plan generation based on diverse athlete profiling and dynamic optimization search. Designed for large-scale athletic environments, our system uncovers coherent, performance-aligned athlete communities through…
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Self-evolving meta-learning neural ordinary differential equations: A novel artificial intelligence-driven approach for solving differential equations
Solving ordinary differential equations (ODEs) constitutes a fundamental problem for many scientific and engineering disciplines, particularly for stiff, high-dimensional problems, or problems with changing dynamics. Consequently, traditional numerical solvers, such as the Runge–Kutta methods…
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Artikel Jurnal
Fast dynamic simulation and control of a boost DC-DC inverter
Efficient and accurate simulation is essential for the modeling and control of high-frequency DC-DC converters. Conventional numerical integrators require very small time steps to capture fast switching dynamics, leading to high computational cost. This paper introduces a discrete-time analytical…
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A static-dynamic feature fusion framework based on long short-term memory and collaborative filtering
Focusing on the recommendation and decision support module in management systems, this framework takes users’ basic information (e.g., demographics, cause-related attributes) and auxiliary data (e.g., temporal activity records, functional assessment data) as inputs. A loss function is employed to…
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Optimised Parallelised Ensemble Learning (OPEL): A framework for OPEL
This study presents a novel Optimised Parallelised Ensemble Learning (OPEL) framework that enhances multi-ensemble learning through a unique combination of Parallel multi-Model Execution, Consensus-Based Model Selection (CMS), and an Optimised Parallel Voting Mechanism. Together, these components…
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Artikel Jurnal
Improving the performance of independent component regression
In this study, we aim to comprehensively explore the application of principal component analysis (PCA) and independent component analysis (ICA), considering their practical utility. We compare these two methods theoretically and practically, using both real data and simulated data. PCA and ICA…
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Artikel Jurnal
Enhancing wind power forecasting using novel LSTM-dynamic context-aware power forecasting hybrid model
The variable nature of wind, including wind speed, direction, barometric pressure, and air temperature, presents significant challenges for accurately predicting wind power output. This paper addresses the issue of contextual prediction accuracy, highlighting limitations of existing methods in…
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Competitive analysis for online choice of foreign production strategy
Motivated by a sequential choice of foreign production strategies (CFPSs) in an actual decision for entering the lesser-known foreign markets, this article proposes two online models to analyze an optimal online strategy where the objective is to minimize the cost to supply the total demand of the…
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Dual flexible competitive nonnegative representation method for face recognition
The nonnegative representation-based classification only imposes an overall nonnegative constraint on the representation coefficients but fails to apply differentiated penalties on the coefficients of different classes, which inevitably limits its effectiveness. In response, this article proposes a…
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Artikel Jurnal
Comparative analysis of evolutionary algorithms for optimising proportional–integral–derivative control in direct current motor speed regulation: A statistical evaluation
Effective proportional–integral–derivative controller tuning is critical for attaining high-performance operation in direct current motor systems, especially when traditional approaches fail under nonlinear or uncertain dynamics. This study conducted a statistically robust comparative analysis of…
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Nonlinear wave dynamics and soliton solutions of the Rosenau equation with conformable fractional derivatives
The nonlinear partial differential equations considered in this study are important in modeling complex wave phenomena extending from hydrodynamics via ocean engineering to plasma physics, fluid dynamics, and other mediums. The Rosenau equation provides an analytical solution for studying wave…
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Analysis of influencing factors and trend prediction based on quantile regression and GM(1, 1) model
This study adopts the quantile regression method to analyze the influencing factors of low-income, middle-income, and high-income groups at the national, urban, and rural levels in China, respectively, at the quantiles of 0.05, 0.20, 0.50, 0.80, and 0.95. Subsequently, the GM(1, 1) model within the…
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Artikel Jurnal
A competitive-collaborative nonnegative representation method and its application for face recognition in smart campus
The nonnegative representation-based classification (NRC) method has attracted increasing attention in the field of face recognition. Building upon collaborative representation (CR), NRC incorporates a nonnegative constraint on the representation coefficients, thereby reducing the contribution of…
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Artikel Jurnal
Tighter bounds on the Gaussian Q-function based on wild horse optimization algorithm
The Gaussian Q-function (GQF) is widely used in various scientific and engineering fields, especially in telecommunications and wireless communication. However, the lack of a closed-form expression for this function has led to considerable research efforts to achieve more accurate approximations…
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Approximations for standard normal distribution function and its invertible
In this paper, we introduce a new approximation of the cumulative distribution function of the standard normal distribution based on Tocher's approximation. Also, we assess the quality of the new approximation using two criteria namely the maximum absolute error and the mean absolute error. The…