Last-Train Timetabling under Transfer Demand Uncertainty: Mean-Variance Model and Heuristic Solution by Shuo Yang, Kai Yang, Ziyou Gao, Lixing Yang, Jungang Shi

“…Traditional models of timetable generation for last trains do not account for the fact that decision-maker (DM) often incorporates transfer demand variability within his/her decision-making process. This study aims to develop such a model with particular consideration of the decision-makers’ risk preferences in subway systems under uncertainty. …”
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Analyzing the Impact of Process Noise for a Flexible Structure During the Minimum-Time Rest-to-Rest Slew Maneuver by Shambo Bhattacharjee

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Assets performance evaluation with the use of returns distribution characteristics by Seyedeh Masoumeh Mirsadeghpour Zoghi, Masoud Sanei, Ghasem Tohidi, Shokoofeh Banihashemi, Navideh Modarresi

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Study on a GMV Compensator Design for Hierarchical-type Control in Plastic Processing Machinery by Takahiro SUGAHARA, Shin WAKITANI, Toru YAMAMOTO, Takashi OCHIIWA, Hideki TOMIYAMA

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Electoral Arrangements and Turnout Variance at the Sub-National Level: Comparative Insights from Three Constituencies in Ghana by Fortune Agbele

“…I find that the high positive perceptions of the electoral processes across high, average, and low turnout constituencies are not only due to the activities of the electoral management body but among others, the adjustments by citizens to the process based on their experiences from past elections. …”
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Mean-Variance Portfolio Optimization with Lot Size Constraints in Energy Stocks: A Monte CarloApproach by Willen Vimelia, Riaman Riaman, Sukono Sukono

“…A rigorous selection process from Scopus and ScienceDirect databases yielded 13 relevant articles for in-depth analysis creates a more practical and effective approach to portfolio management. …”
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A method for calculating the variance and confidence intervals for tree biomass estimates obtained from allometric equations by Alecia Nickless, Robert Scholes, Sally Archibald

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Kriging-Variance-Informed Multi-Robot Path Planning and Task Allocation for Efficient Mapping of Soil Properties by Laurence Roberts-Elliott, Gautham P. Das, Grzegorz Cielniak

“…Deploying multiple robots with proximal sensors can address this challenge by parallelising the sampling process. Yet, multi-robot soil sampling is under-explored in the literature. …”
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Φ-OTDR disturbance localization of communication optical cable based on moving variance average and spectral subtraction by Wei SHEN, Xin HU, Ze ZHANG, Ling JU, Jian WU, Yi HUANG

“…By selecting an appropriate number of curves and an optimal step size, the amplitude signal curves are processed using moving variance average to generate a preliminary disturbance localization map. …”
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Robust Fractional Low Order Adaptive Linear Chirplet Transform and Its Application to Fault Analysis by Junbo Long, Changshou Deng, Haibin Wang, Youxue Zhou

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Aplicação da análise de variância na implantação do CEP by Cíntia Paese, Carla ten Caten, José Luis Duarte Ribeiro

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A Dynamic Variance-Based Triggering Scheme for Distributed Cooperative State Estimation over Wireless Sensor Networks by Hongbo Zhu, Jiabao Ding

“…Second, a new Riccati equation of the prediction variance iteration for each estimator is obtained, which switches dynamically among the modes related to the variance of the previous step and the recently received measurements from other sensors. …”
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Signal Enhancement and Interference Reduction with Minimum-Variance Distortionless Response Algorithm Using MATLAB and GNU Radio Simulations by Tuan-Khanh Nguyen, Nguyen Do Nguyen, Huy Quang Nguyen, Khang Thai Viet Nguyen

“…We improved signal reception by minimizing interference in dynamic communication environments with a minimum-variance distortionless response (MVDR) algorithm. …”
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Neutrosophic Probabilistic and Statistical Extensions of the NeutroMultiSpace Model for Blended Teaching Process in University Physical Education: A Novel Neutrosophic Modeling Fra... by Guoquan Lin, Hongtao Guo, Ying Zheng

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EVALUATION OF SUBSOIL MASSIF STABILITY TAKING INTO ACCOUNT THE IRREGULARITY OF CONSTITUENT ROCKS ON THE BASIS OF A RANDOM SIZE AND FUNCTION MODEL by M. O. Allaev

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Optimizing injection molding parameters to reduce weight and warpage in PET preforms using Taguchi method and Analysis of Variance (ANOVA) by Rozeena Aslam, Awais Ahmed Khan, Hamza Akhtar, Sadia Saleem, Muhammad Sarfraz Ali

“…However, defects can arise during the production process due to incorrect settings of process parameters, which are crucial for ensuring the quality of the molded parts. …”
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A novel satisfactory model predictive control based on current variance for high power three‐level‐NPC rectifiers by Bo Yang, Zhikang Guo, Zongbin Ye, Jiayi Kong, Guojun Tan

“…Abstract Here, a novel satisfactory model predictive control based on current variance (CV‐SMPC) is proposed for three level neutral point clamped (NPC) rectifiers. …”
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Assessing urban thermal field variance and surface urban heat island effects. An Ecological Study in Malakand Division, Pakistan by Imtiaz AHMAD, Wang PING, Abdur RAZZAQ, Bilal Jan Haji MUHAMMAD, Wajid ALI

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A new approach to MADM problem using interval-valued hesitant Fermatean fuzzy Hamacher operators and statistical variance by Xiuqin Ma, Xuli Niu, Hongwu Qin, Dong Ren, Siyue Lei, Kexin Tang

“…However, a lot of uncertainty is involved in assessing the WECC level, which presents serious and intricate difficulties for the related multiple- attribute decision-making (MADM) processes. The interval-valued hesitant Fermatean fuzzy set (IVHFFS) is a powerful tool for handling uncertainty in MADM issues. …”
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Comparison of the performance of digital variance angiography and digital subtraction angiography in children with arteriovenous malformations: a retrospective observational study by Balázs Bence Nyárády, Renáta Gubán, Ákos Pataki, András Bibok, Zsuzsanna Mihály, Dávid Korda, Dénes Horváthy, Anikó Ilona Nagy, János Pál Kiss, Edit Dósa

“…Abstract Background Reducing contrast agent and radiation exposure is paramount for pediatric patients. Digital variance angiography (DVA) might address this need by increasing the contrast-to-noise ratio (CNR). …”
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