Optimizing Vehicle Scheduling Based on Variable Timetable by Benders-and-Price Approach by Zekang Lan, Shiwei He, Rui Song, Sijia Hao

“…Moreover, the proposed algorithm is greatly superior to GUROBI in terms of computational efficiency and guarantees the quality of the solution.…”
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Management Decisions under Uncertainty Using Controlling Tools by N. V. Koshkina, O. V. Koshkina, B. A. Tkhorikov

“…The results showed that there is no standard algorithm for the process of making managerial decisions in all universities in Kazakhstan. …”
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Synthesis of a Transfer Function With Real Poles From Tabulated Frequency Response Data for Transmission-Line Impedance Modeling by Taku Noda

“…This paper proposes an algorithm to synthesize a transfer function only with real poles from tabulated frequency response data for TL impedance modeling. …”
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Failure of affine‐based reconstruction attack in regenerating vascular feature points by Mahshid Sadeghpour, Arathi Arakala, Stephen A. Davis, Kathy J. Horadam

“…Affine‐based reconstruction attack is an inverse biometrics method that models the biometric recognition algorithm by an affine approximation. This type of attack reconstructs targeted biometric references using the modelled biometric recognition algorithm and the comparison scores issued by the system. …”
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Adaptive MCS selection and resource planning for energy-efficient communication in LTE-M based IoT sensing platform. by Nhu-Ngoc Dao, Minho Park, Joongheon Kim, Sungrae Cho

“…Focusing on this circumstance, we propose a novel adaptive modulation and coding selection (AMCS) algorithm to address the energy consumption problem in the LTE-M based IoT-sensing platform. …”
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Scalable data assimilation with message passing by Oscar Key, So Takao, Daniel Giles, Marc Peter Deisenroth

“…In this article, we exploit the formulation of data assimilation as a Bayesian inference problem and apply a message-passing algorithm to solve the spatial inference problem. Since message passing is inherently based on local computations, this approach lends itself to parallel and distributed computation. …”
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Bridging IoT devices and machine learning for predicting power consumption: case study universitas Widya Dharma Pontianak by Genrawan Hoendarto, Ahmad Saikhu, Raden Venantius Hari Ginardi

“…Unlike traditional approaches that rely on the mean of samples within a leaf, our method incorporates their likelihood. Since RT algorithms are prone to overfitting, training each leaf individually is expected to mitigate this issue. …”
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Universal Single Controller for Solving Deadlock Problems of Flexible Manufacturing Systems by Ter-Chan Row, Ching-Yun Tseng, Yen-Liang Pan

“…Deadlocks are a drawback when simulating in a Petri net model (PNM). Since the occurrence of deadlocks can influence serial operations, it is crucial to overcome such problems. …”
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Graph attention networks based multi-agent path finding via temporal-spatial information aggregation. by Qingling Zhang, Peng Wang, Cui Ni, Xianchang Liu

“…An effective Multi-Agent Path Finding (MAPF) algorithm must efficiently plan paths for multiple agents while adhering to constraints, ensuring safe navigation from start to goal. …”
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A Feature-Selective Independent Component Analysis Method for Functional MRI by Yi-Ou Li, Tülay Adali, Vince D. Calhoun

“…We also compare the task-related sources estimated from true fMRI data by a feature-selective ICA algorithm versus an ICA algorithm and show evidence that the feature-selective scheme helps improve the estimation of the sources in both spatial activation patterns and the time courses.…”
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Context-Aware Adaptation of Component-Based Systems: An Active Repository Approach by Sindolfo Miranda Filho, Julio Melo, Luiz Eduardo Leite, Guido Lemos

“…The repository applies Fuzzy logic algorithm to evaluate the adequacy level of the components and GRASP algorithm to mount the new system architecture. …”
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A Unified Approach for the Identification of Wiener, Hammerstein, and Wiener–Hammerstein Models by Using WH-EA and Multistep Signals by J. Zambrano, J. Sanchis, J. M. Herrero, M. Martínez

“…This approach is based on the use of multistep excitation signals and WH-EA (an evolutionary algorithm for Wiener–Hammerstein system identification). …”
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Generating Automatically Print/Scan Textures for Morphing Attack Detection Applications by Juan E. Tapia, Maximilian Russo, Christoph Busch

“…Currently, there are limited datasets available for training the MAD algorithm due to privacy concerns and the challenges of obtaining and processing a large number of printed and scanned images. …”
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ANISOTROPIC REGULATOR OF DAMPING OF RANDOM VIBRATIONS OF THE MOBILE PLATFORM OF A BILAMENT VEHICLE APPARATUS by A. S. Abufanas, A. A. Lobaty, Yu. F. Yacina

“…Qualitative illustrations of the operability of the proposed algorithm and quantitative characteristics of the change in output signals are presented. …”
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Raynaud’s phenomenon in the rheumatologist’s practice by R.T. Alekperov

“…This review focuses on pathogenesis, the algorithm of early and differential diagnosis of RP, and current approaches to therapy based on the analysis of the published and our own data.…”
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Predicting Weather Disruptions for the ICC Champions Trophy 2025 in Pakistan Using Machine Learning and Data Analytics by Syeda Faiza Nasim, Umm-e-Kulsoom, Syeda Alishba Fatima, Salka Naushad

“…Correct forecasting of the weather is crucial for outdoor sporting events to avoid cancellations and guarantee peak athlete performance since climate change has an increasing impact on weather patterns. …”
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An approach to forecast production profiles, oil-gas ratio and water contamination probabilistic assessment by D. V. Balin, O. V. Balina, E. I. Mamchistova

“…The variants of variables implementation were studied, the review of experimental designs and optimiza­tion algorithms was done. At the first step, the simulation model was history matched using Differential Evolution algorithm, since its initial version had problems with phase withdrawals and pressure dynamics. …”
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Enhancing education quality with hybrid clustering and evolutionary neural networks in a multi phase framework by Saleem Malik, Chandrakanta Mahanty, Jnanaranjan Mohanty, Krunal Vaghela, T. Narmadha, R. Sivaranjani, Javed Khan Bhutto, Saiful Islam, Anwar Khan, Amanuel Zewdie

“…The NeuroEvoClass algorithm mixes evolutionary strategies inspired by swarm intelligence and artificial neural networks (ANN) to improve student performance prediction in Phase II. …”
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System Verification and FPGA Implementation of Hardware Preemptive Scheduler for RISC-V Processor by Ionel Zagan, Vasile Gheorghita Gaitan

“…The scientific contribution within this project is given by a dynamic scheduling algorithm implemented in hardware, support for resolving the priority inversion situations and the use of RISC-V ISA provided under open source licenses. …”
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Design a low-noise 5GHz wideband microwave power amplifier using 90nm CMOS technology with area reduction employing an active inductor by Taha Naufal Fadhil, A.Z. Yonis

“…In terms of achieving a balance between the results of noise and gain, we were unable to accomplish the essence of the design process through mathematical analysis. Since a satisfactory outcome cannot be achieved through mathematical analysis, we optimise using the genetic algorithm. …”
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