Sequential Hybrid Beamforming for Radio Stripes by Joumana JOUMANA, Daniel Castanheira, Adao Silva, Rui Dinis, Atilio Gameiro

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A Dynamic Reactive Power Optimization Algorithm for Regional Power Grid Based on Decoupling Interior Point Method and Mixed Integer Programming Method by Jie ZHANG, Yunyao ZHENG, Shengchun LIU, Yongfei MA, Wei YAN, Hengfeng WANG

“…Firstly, the sigmoid function is used to deal with the absolute value constraint to realize the continuity of the original model, and the idea of decoupling interior point method is used to construct the diagonal band edge structure of the KKT modified equation, so as to realize the time block decoupling and efficient solution of the model. Secondly, the original model is linearized near the current continuous solution, and a mixed integer linear programming model involving all constraints of the original model is constructed, so as to determine the optimal solution of the discrete reactive power control equipment. …”
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Standardization of CPUE for walleye pollock in the Okhotsk Sea with inclusion of some environmental factors by V. V. Kulik, A. I. Varkentin, O. I. Ilyin

“…The sea surface temperature, ice cover and storms frequency were examined as possible reasons of low fishing efficiency in 2018. For this purpose, the generalized linear models (GLM) and generalized additive models (GAM) of catch dynamics are compared. …”
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Distributed Estimation for <i>ℓ</i>₀-Constrained Quantile Regression Using Iterative Hard Thresholding by Zhihe Zhao, Heng Lian

“…We propose a communication-efficient distributed estimator which is linearly convergent to the true parameter up to the statistical precision of the model, despite the fact that the check loss minimization problem with an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mo mathvariant="sans-serif-italic">ℓ</mo><mn>0</mn></msub></semantics></math></inline-formula> constraint is neither strongly smooth nor convex. …”
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A big data approach to mitigating the MAUP in measuring excess commuting by Cehong Luo, Yujie Hu, Fahui Wang

“…Through the application of Linear Programming (LP) and Integer Linear Programming (ILP) models, this research measures minimum and actual commuting patterns across different spatial scales—census tract, block group, and individual trip levels. …”
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Wave Actions and Responses for Large-Diameter Monopod Platform Structures by Ali ETE

“…The sea-wave loads acting on the fixed offshore structures are estimated by using Airy's linear wave theory and Morison's equation, dissociating the total force into an inertia force component and a drag force component. …”
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Evaluating segmentation methods for UAV-Based Spoil Pile Delineation by Sureka Thiruchittampalam, Bikram Pratap Banerjee, Nancy F Glenn, Simit Raval

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Improper Gaussian Signaling for Two-User MISO-NOMA Systems Considering Hardware Impairments and Imperfect SIC by Hao-Tse Chiu, Fumiaki Maehara

“…The improper signals are assumed to be generated by widely linear precoding (WLP) and transmitted under the PD-NOMA scheme in the context of imperfect SIC. …”
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A New LQR Optimal Control for a Single-Link Flexible Joint Robot Manipulator Based on Grey Wolf Optimizer by Navid Razmjooy, Mehdi Ramezani, Ali Namadchian

“…After that, a Linear Quadratic Regulator (LQR) controller is used for optimal control of the manipulator. …”
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Minimizing Solid Waste Collection Routes Using Ant Colony Algorithm: A Case Study in Gaziantep District by Serap Ulusam Seçkiner, Amanuel Moges Shumye, Sena Geçer

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Research on the prediction model of gas emission based on grey system theory by Liyang Bai, Hui Geng, Guangming Yu

“…Abstract Accurate prediction of the gas emission volume in the mining face can prevent gas accidents in advance, optimize the mining plan, reduce energy consumption, and contribute to the safe, efficient and green development of coal mines. In order to improve the prediction accuracy of gas emission volume.A prediction model of gas emission based on grey system theory is proposed.11 indexes such as gas content, coal seam depth, coal seam thickness, coal seam dip angle and inclined length of working face are selected as the influencing factors of gas emission.The weight of each factor is determined by grey correlation analysis. …”
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An Integrated Access and Backhaul Approach to Sustainable Dense Small Cell Network Planning by Jie Zhang, Qiao Wang, Paul Mitchell, Hamed Ahmadi

“…Our findings reveal that the introduced algorithm delivers efficient performance for geographically constrained network planning.…”
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Addressing Due Date and Storage Restrictions in the S-Graph Scheduling Framework by Krisztián Attila Bakon, Tibor Holczinger

“…The framework is further enhanced by integrating linear programming (LP) techniques to adjust machine assignments and operation timings dynamically. …”
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Proactive Frequency Stability Scheme Based on Bayesian Filters and Spectral Clustering by Gian Paramo, Mario D. Baquedano-Aguilar, Arturo Bretas, Sean Meyn

“…Underfrequency load shedding state-of-the-art solutions are reactive in design, with efficiency constrained by the modeling error. Being able to detect unstable conditions early makes it possible to generate optimized corrective actions. …”
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Generation Algorithms for Thévenin and Norton Equivalent Circuits by Mihaela Grib, Ioana-Gabriela Sirbu, Lucian Mandache, Marilena Stanculescu, Mihai Iordache, Lavinia Bobaru, Dragos Niculae

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Dynamic Optimization of Tunnel Construction Scheduling in a Reverse Construction Scenario by Jianying Wei, Yuming Liu, Xiaochun Lu, Rong Zhao, Gan Wang

“…Tunnel construction, a critical aspect of railway engineering, is a repetitive process with distinct linear characteristics. While the Linear Scheduling Method (LSM) is widely used for scheduling optimization in linear projects, it struggles to accommodate dynamic construction sequences, reverse construction, and flexible team allocation. …”
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Tutorial on modelling chromatographic surrogation of biological processes by Elisabet Fuguet, Martí Rosés

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Uncertainty Quantification in Shear Wave Velocity Predictions: Integrating Explainable Machine Learning and Bayesian Inference by Ayele Tesema Chala, Richard Ray

“…This paper investigates the effectiveness of integrating explainable machine learning (ML) model and Bayesian generalized linear model (GLM) to enhance both predictive accuracy and uncertainty quantification in Vs prediction. …”
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Jump around: Selecting Markov Chain Monte Carlo parameters and diagnostics for improved food web model quality and ecosystem representation by Gemma Gerber, Ursula M. Scharler

“…One approach is to use linear inverse modelling and Markov Chain Monte Carlo (LIM-MCMC) techniques to set up an inverse LIM problem using empirical data constraints, and then sample multiple plausible food webs from the inverse problem using an MCMC algorithm. …”
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Green Infrastructure: Opinion Mining and Construction Material Reuse Optimization Portal by Arturas Kaklauskas, Elisabete Teixeira, Yiannis Xenidis, Anastasia Tzioutziou, Lorcan Connolly, Sarunas Skuodis, Kestutis Dauksys, Natalija Lepkova, Laura Tupenaite, Loreta Kaklauskiene, Simona Kildiene, Jurgita Zidoniene, Virginijus Milevicius, Saulius Naimavicius

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