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Enhancement of GWO for solving numerical functions and engineering problems
Due to using nature-inspired metaheuristic algorithms to solve real-world applications in different fields, this area has become very popular among...
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Semantic Similarity of Inverse Morpheme Words Based on Word Embedding
Inverse morpheme words are compound words that have the same morphemes but are arranged in the opposite order. The majority of related works on the...
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Efficient three-way SVM for three-class classification problems
Many classification problems in the real world are inherently multi-class. However, most of the classifiers are binary. Solving K -class...
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Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlap** demonstrations
In this paper, we define a novel inverse reinforcement learning (IRL) problem where the demonstrations are multi-intention, i.e., collected from...
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Mixed precision Rayleigh quotient iteration for total least squares problems
With the recent emergence of mixed precision hardware, there has been a renewed interest in its use for solving numerical linear algebra problems...
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Inverse Reinforcement Learning to Enhance Physical Layer Security in 6G RIS-Assisted Connected Cars
This research paper introduces a groundbreaking approach to address the escalating security concerns in the era of 6G communication networks,...
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A multi-branch deep convolutional fusion architecture for 3D microwave inverse scattering: stored grain application
In this paper, a multi-branch deep convolutional fusion architecture is proposed to solve electromagnetic inverse scattering problems. The...
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Genetic Programming-Based Inverse Kinematics for Robotic Manipulators
In this paper, we introduce an inverse kinematics model for a robotic manipulator using Genetic Programming (GP). The underlying problem requires...
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Monte Carlo Inverse Folding
The RNA Inverse Folding problem comes from computational biology. The goal is to find a molecule that has a given folding. It is important for...
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A survey of research on several problems in the RoboCup3D simulation environment
In the process of robot research and development, due to the vulnerability of hardware, simulation environment is often used to verify and test...
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Energy Büchi Problems
We show how to efficiently solve energy Büchi problems in finite weighted automata and in one-clock weighted timed automata. Solving the former...
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Isogeny Problems with Level Structure
Given two elliptic curves and the degree of an isogeny between them, finding the isogeny is believed to be a difficult problem—upon which rests the...
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LeCaSiM: Learning Causal Structure via Inverse of M-Matrices with Adjustable Coefficients
The objective of causal discovery is to uncover the causal relationships among natural phenomena or human behaviors, thus establishing the basis for...
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TMHSCA: a novel hybrid two-stage mutation with a sine cosine algorithm for discounted {0-1} knapsack problems
The discounted {0-1} knapsack problem (DKP) is an NP-hard problem that is more challenging than the classical knapsack problem. In this paper, an...
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Multi-strategy boosted Aquila optimizer for function optimization and engineering design problems
As the complexity of optimization problems continues to rise, the demand for high-performance algorithms becomes increasingly urgent. This paper...
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Exact inverse solution techniques for a class of complex valued block two-by-two linear systems
By taking a complex factorization of the Schur complement matrix into consideration, we present practical expressions for the inverses of a class of...
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Artificial Bee Colony-Based Dynamic Sliding Mode Controller for Integrating Processes with Inverse Response and Deadtime
A strategy for optimizing the settings of a dynamical sliding mode controller using an artificial bee colony optimization algorithm is proposed in...
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Cutting-plane algorithms for preemptive uniprocessor scheduling problems
Fixed-point iteration algorithms like response time analysis (RTA) and quick processor-demand analysis (QPA) are arguably the most popular ways of...
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A \(\varGamma \)-Convergence Result and An Off-the-Grid Charge Algorithm for Curve Reconstruction in Inverse Problems
Several numerical algorithms have been developed in the literature and employed for curves reconstruction. However, these techniques are developed...
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GPINN with Neural Tangent Kernel Technique for Nonlinear Two Point Boundary Value Problems
Neural networks as differential equation solvers are a good choice of numerical technique because of their fast solutions and their nature in...
