MapFuse: Complete and Realistic 3D Modelling by Michiel Aernouts, Ben Bellekens, Maarten Weyn

“…The system combines the result of a SLAM algorithm and secondly a simple initial model of the same environment in a probabilistic way. …”
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Optimal Solutions for Constrained Bimatrix Games with Payoffs Represented by Single-Valued Trapezoidal Neutrosophic Numbers by Mohamed Gaber, Majed G. Alharbi, Abd Alwahed Dagestani, El-Saeed Ammar

“…Moreover, an application example is examined to verify the effectiveness and superiority of the developed algorithm. Finally, a comparison analysis between the proposed and the existing approaches is conducted to expose the advantages of our work.…”
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Research on Taxi Pricing Model and Optimization for Carpooling Detour Problem by Wei Zhang, Ruichun He, Yong Chen, Mingxia Gao, Changxi Ma

“…This paper builds a multiobjective optimization model for solving the taxi carpooling with detour problem and designs a genetic algorithm to determine a fair pricing scheme for riders and drivers. …”
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Sliding Mode Output Feedback Control of a Flexible Rotor Supported by Magnetic Bearings by A. S. Lewis, A. Sinha, K. W. Wang

“…A new sliding mode feedback algorithm is applied to control the vibration of a flexible rotor supported by magnetic bearings. …”
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Presenting a one-objective optimization model to determine the reliability of the components of a coherent system by Elham Basiri

“…Purpose: In this paper, the amount required to increase the reliability of the components of a coherent system is determined so that the cost of this increase is minimized and the reliability of the whole system is not less than the predetermined value.Methodology: In this research, after introducing the objective and constraint functions in the optimization problem, the Lagrange method is used and then the problem is solved by presenting an algorithm. In this article, several cost functions are considered, and then the results are presented in the general case for a coherent system and then for two special cases, series-parallel and parallel-series systems.Findings: In this article, two numerical examples are presented and solved. …”
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Computationally Effective Modeling of Cold Rolling: Application to Al Alloys by János György Bátorfi, Jurij J. Sidor

“…An accurate and numerically efficient description of the rolling process is a challenging task since the degree of computational accuracy is directly related to the complexity of the algorithm employed. In the most general case, finite element models (FEM) are used for the simulation of deformation processes; however, these techniques require significant computational time. …”
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Alignment Detection Technology of Chang’e-6 Primary Package Container by Guanyu Wang, Shenyi Jin, Xiangjin Deng, Yufu Qu

“…To address challenges such as complex backgrounds, uneven lighting, and reflective surfaces, this paper introduces an alignment detection method that integrates YOLO object recognition, Devernay subpixel edge detection, and the RANSAC fitting algorithm. By employing both linear and elliptical fitting techniques, the method accurately determines the median line of the primary packaging container, ensuring precise alignment detection. …”
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A Malware Detection Scheme Based on Mining Format Information by Jinrong Bai, Junfeng Wang, Guozhong Zou

“…When the selected features were trained using classification algorithms, the results of our experiments indicate that the accuracy of the top classification algorithm is 99.1% and the value of the AUC is 0.998. …”
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Transition of thermally induced flow in a square cavity using Spectral Method by Laasl Boutayna, Hilali Youssef, Mesmoudi Said, Askour Omar, Bourihane Oussama

“…This study presents a novel mesh-free method for simulating natural convection in a square cavity filled with Newtonian fluid. The proposed algorithm integrates mesh-free Spectral methods with the Moving Collocation Element (MCOE) technique and employs a strong formulation to solve the nonlinear governing equations. …”
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Ranking Influential Nodes in Complex Networks with Information Entropy Method by Nan Zhao, Jingjing Bao, Nan Chen

“…However, these methods offer a limited improvement in algorithm performance because diversity between different attributes is not properly considered. …”
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Feature Extraction for Evaluating the Complexity of Electromagnetic Environment Based on Adaptive Multiscale Morphological Gradient and Nonnegative Matrix Factorization by Hua-Chen Xi, Bing Li, Wen-Hui Mai, Xiong Xu, Ya Wang

“…In this paper, a feature extraction method for electromagnetic environmental signals based on adaptive multiscale morphological gradient filtering and a nonnegative matrix factorization algorithm is proposed. First, the electromagnetic environment signal is filtered by AMMG, and then the filtered signal is processed by NMF for feature extraction. …”
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Development and Performance Analysis of Pneumatic Soft-Bodied Bionic Actuator by Wenchuan Zhao, Yu Zhang, Ning Wang

“…Based on Yeoh’s second-order constitutive model of silica gel, the deformation analysis model of the actuator is established, and the rationality of the structure design and motion forms of the actuator and the accuracy of the deformation analysis model are verified by using the numerical simulation algorithm. According to the physical model of the pneumatic soft-bodied bionic actuator, the motion and dynamic characteristics of the actuator are tested and analyzed, the curves of motion and dynamic characteristics of the actuator are obtained, and the empirical formula of the bending angle and driving torque of the actuator is fitted out. …”
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Adaptive Fuzzy Type-II Controller for Wheeled Mobile Robot with Disturbances and Wheelslips by Viet Quoc Ha, Sen Huong-Thi Pham, Nga Thi-Thuy Vu

“…Finally, the simulation is setup to verify the effectiveness of the presented algorithm. The simulation results show that, in comparison with the corresponding fuzzy type-I controller, the performance of the adaptive fuzzy type-II controller is better, i.e., the position error is smaller and the velocity is almost smooth under the conditions that the reference trajectory is changed, and the system is affected by wheel slips and external disturbances.…”
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Variational Quantum Simulation: A Case Study for Understanding Warm Starts by Ricard Puig, Marc Drudis, Supanut Thanasilp, Zoë Holmes

“…The barren plateau phenomenon, characterized by loss gradients that vanish exponentially with system size, poses a challenge to scaling variational quantum algorithms. Here we explore the potential of warm starts, whereby one initializes closer to a solution in the hope of enjoying larger loss variances. …”
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Interaction Design of Educational App Based on Collaborative Filtering Recommendation by Ying Xu, Tse-Kian Neo, Hin Hew Soon

“…Simultaneously, this paper combines user activity, item popularity, and time factors to comprehensively measure user visibility of items and incorporates them into the collaborative filtering recommendation algorithm in order to effectively mitigate the effects of data sparsity and user selection bias and improve recommendation results.…”
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Detection of Adulteration in Canola Oil by Using GC-IMS and Chemometric Analysis by Tong Chen, Xinyu Chen, Daoli Lu, Bin Chen

“…The results evaluated by canonical discriminant analysis (CDA) algorithm indicated that the HOG-MPCA-CDA model was feasible to discriminate the canola oil adulterated with other oils and to precisely classify different levels of each adulterant oil. …”
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Hierarchical Clustering for Anomalous Traffic Conditions Detection in Power Substations by Erwin Alexander Leal Piedrahita

“…This article evaluates the applicability of hierarchical clustering algorithms and statistical type descriptors (averages), in the identification of anomalous patterns of traffic in communication networks for power substations based on the IEC 61850 standard. …”
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Clustering and Fuzzy Logic-Based Demand-Side Management for Solar Microgrid Operation: Case Study of Ngurudoto Microgrid, Arusha, Tanzania by Godiana Hagile Philipo, Yusufu Abeid Chande Jande, Thomas Kivevele

“…Through the K-means clustering algorithm, suitable candidates for DSM are identified, and the control mechanism is based on energy utilization and load priority. …”
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Effects of elongation delay in transcription dynamics by Xuan Zhang, Huiqin Jin, Zhuoqin Yang, Jinzhi Lei

“…The stochastic process of gene expression is modeled with delay chemical master equation with periodic coefficients, and is studied numerically through the stochastic simulation algorithm with delay. We show that the average transcription level approaches to a periodic dynamics over cell cycles at homeostasis, and the elongation delay can reduce the transcription level and increase the transcription noise. …”
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Scalable Multilabel Learning Based on Feature and Label Dimensionality Reduction by Jaesung Lee, Dae-Won Kim

“…To obtain a model within an acceptable computational cost that is restricted by practical constraints, the learning algorithm may need to identify essential data that carries important knowledge on the relation between the observed features representing the measurement value and labels encoding the multiple target concepts. …”
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