Designing a Decision Support System (DSS) for Supplier Selection in Multiple Discount Environment by Marzieh Shahrezaee, Reza Ehtesham Rasi, Mehdi Seifbarghy

“…Suppliers have been ranked according to the scores they have gained and the selection share of each from the whole quantity has been determined based on the multi-objective mathematical model. …”
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Weak form shallow ice approximation models with an improved time-step restriction by Igor Tominec, Josefin Ahlkrona

“…This allows for a linear time-step restriction across the whole range of horizontal mesh sizes, leading to improve efficiency. …”
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An Enhanced Second-Order Terminal Sliding Mode Control Based on the Super-Twisting Algorithm Applied to a Five-Phase Permanent Magnet Synchronous Generator for a Grid-Connected Win... by Ben ouadeh Douara, Abdellah Kouzou, Ahmed Hafaifa, Jose Rodriguez, Mohamed Abdelrahem

“…The proposed approach combines the second-order terminal sliding mode control technique (SO-STA) with the super-twisting algorithm (STA), with the main goal of benefitting from both their advantages while addressing their limitations. …”
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Multi-energy System Planning and Configuration Study for Low-Carbon Parks Based on Comprehensive Optimization Objectives by Yang WANG, Fei LU, Ji LI, Zhukui TAN, Zongyu SUN, Wei XU, Zihong SONG, Zhenpeng LIU

“…Secondly, by taking a multi-energy system with triple supply of cooling, heating and power system coupled with ground source heat pump, energy storage, and gas boiler in a typical low-carbon park as an example, a comparative analysis was made on the configuration results and optimization speed with different optimization algorithms, and a study was conducted on the impacts of different optimization objectives such as optimal comprehensive optimization objective and lowest whole life-cycle cost and energy consumption on the capacity optimization configuration results and typical daily operation situation. …”
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Guidelines for radioiodine therapy in differentiated thyroid cancer and post-therapeutic follow-up by A. Yu. Shurinov, E. V. Borodavina, V. V. Krylov, M. A. Sigov, A. A. Rodichev, S. A. Ivanov, A. D. Kaprin

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Advancing Pile-Bearing Capacity Prediction with Meta-Heuristic Enhanced Specific ANFIS strategys by Zhongmiao Dang

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A study on life assessment of metro cowcatcher based on multi-axis vibration environment reconstruction by ZHENG Yuhao, WU Xingwen, LIU Yang, CHI Maoru, LIANG Shulin

“…Then, the modal damping ratio was optimized by the genetic algorithm, improving the consistency between the simulation and measured response results, and proving the correctness of the modeling method. …”
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Identification of genes associated with resistance trait to VPAHPND in Pacific white shrimp (Litopenaeus vannamei) using Bulk Segregation Analysis (BSA) by Zhenning Bao, Yang Yu, Pengfei Lin, Fuhua Li

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Data-driven Detection and Identification of Line Parameters with PMU and Unsynchronized SCADA Measurements in Distribution Grids by Jinping Sun, Qifang Chen, Mingchao Xia

“…Then, the power-loss samples with the PMU time stamps and chronological correlations are generated by the two PDFs of the power loss via the Metropolis-Hastings (MH) algorithm. Finally, using the power-loss samples and PMU current measurements, the line parameters are identified using the total least squares (TLS) algorithm. …”
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ON THE CREATION OF THE AUTOMATION SYSTEM RELATED TO SOCIAL-ECONOMIC MOVEMENTS OF PEOPLE by L. V. Rudikova, V. V. Danilchik

“…General approaches of algorithms and data structures usage are proposed. The system architecture is described with the possibility of scaling both vertical and horizontal.The proposed system organizes the process of searching for data and filling the database from third-party sources. …”
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ANFIS-optimized control for resilient and efficient supply chain performance in smart manufacturing by Mona A. AbouElaz, Bilal Naji Alhasnawi, Bishoy E. Sedhom, Vladimír Bureš

“…Also, the butterfly optimization algorithm (BOA) is proposed for obtaining optimal parameters for the ANFIS controller algorithm. …”
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Electric Vehicle Health Monitoring with Electric Vehicle Range Prediction and Route Planning by Jayapradha Jayaram, J Chetan, Barun Nayak

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AI-based prediction of academic success: Support for many, disadvantage for some? by Lisa Herrmann, Jonas Weigert

“…However, knowing about biases and unfairness in algorithms, one should take a closer look at these predictions. …”
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Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis by Ioannis Stathopoulos, Roman Stoklasa, Maria Anthi Kouri, Georgios Velonakis, Efstratios Karavasilis, Efstathios Efstathopoulos, Luigi Serio

“…Detection and segmentation of brain abnormalities using Magnetic Resonance Imaging (MRI) is an important task that, nowadays, the role of AI algorithms as supporting tools is well established both at the research and clinical-production level. …”
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A de-embedding method based on combining time and frequency domains by Wenwen Zeng, Yaoli Wang, Zhibin Wang

“…The method uses the 2X-thru de-embedding algorithm to extract the RF fixture model. In contrast to the traditional de-embedding method, the proposed method for de-embedding uses time-domain reflectometry to draw the time-domain representation of the whole measurement system (including the fixture and the device under test), peel the impedance curve of the fixture part from the impedance curve of the whole system through the two parameters of the delay and loss of the fixture, and then convert the impedance curve of the peeled fixture part into the S parameter again. …”
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Adaptive centre-frequency bandpass state-space digital filters and their l2-sensitivity analysis by Yoichi Hinamoto, Akimitsu Doi

“…An adaptive iterative algorithm is then developed by expanding a sign algorithm into the gradient-based method. …”
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Medium and Long Term Wind Power Prediction Based on Graph Convolutional Network and Wind Velocity Differential Fitting by Zihan CHEN, Wei TENG, Xuefeng XU, Xian DING, Yibing LIU

“…The loss of the model includes three parts: power loss, wind velocity loss and power utilization efficiency loss. PSO algorithm is used to determine the appropriate weight for the three losses. …”
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Optimizing group utility in itinerary planning: a strategic and crowd-aware approach by Junhua Liu, Aldy Gunawan, Kristin L. Wood, Kwan Hui Lim

“…For example, the Selfish Routing problem illustrates how individual decision-making can lead to suboptimal outcomes for the group as a whole. To address these challenges, we propose the Strategic and Crowd-Aware Itinerary Recommendation (SCAIR) algorithm, which integrates real-world crowd behavior into route planning to optimize group utility. …”
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Formation of a Strategy for Increasing the Efficiency of Operation of Distribution Electrical Grids at the Stage of Pre-Design Works by A. V. Zhurakhivskyi, Z. M. Bakhor, A. Ya. Yatseiko, V. H. Hapanovych

“…On the basis of this model an algorithm for a choice of the optimal technical measures for the reconstruction of mainlines has been formed depending on their state: for mainlines in the strenuous state it is possible to replace the wire of the section or an installation of a battery of statistical capacitors at the remote transformer substations; for mainlines in the unacceptable state, in accordance with the results of an expert assessment of possible measures taking into account the electrical grid development, the prospects of increase of the load, the construction of unloading points, the connection to the distributed generation electrical grid, a decision is being made to replace the wire section, to transform a part or the whole electrical grid to higher voltage level. …”
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STRATEGY OF DATA INTEGRITY CONTROL FOR SYSTEM WIDE INFORMATION MANAGEMENT CONCEPT by L. E. Rudel'son, S. N. Smorodskiy, A. S. Stepanenko

“…An optimal strategy for the algorithm application has been constructed (by the criterion of computational resource expenses).…”
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