RETRACTED ARTICLE: Intelligent power management based on multi-objective cost function for plug-in biogas hybrid vehicles under uncertain driving conditions by Sameh Abd-Elhaleem, Walaa Shoeib, Abdel Azim Sobaih

“…Abstract This paper presents a new intelligent power management strategy based on multi-objective cost function for plug-in biogas hybrid vehicles (PBHVs). …”
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SIMULATION OF THE ELECTRIC DRIVE DYNAMICS ON THE BASIS OF ROOT LOCUS MODEL by A. A. Nesenchuk

“…The paper represents the task of simulation of the control system dynamics in the rotor flux oriented vector control system of the induction motor with application of the mathematical model in the form of the extended root locus. An algorithm for control system parameters calculation has been proposed, ensuring stability and required quality when operating in conditions of the plant parametric uncertainty.…”
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Robust Performance Assessment of Control Systems with Root Contours Analysis by Karlova-Sergieva Vesela

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Tree Roots Reconstruction Framework for Accurate Positioning in Heterogeneous Soil by Wenhao Luo, Yee Hui Lee, Hai-Han Sun, Genevieve Ow, Mohamed Lokman Mohd Yusof, Abdulkadir C. Yucel

“…A data processing framework is proposed to address these issues for retrieving the tree roots in heterogeneous soil environments. The proposed framework combines four techniques to be applied consecutively: First, a hyperbola extraction method based on a column-connection clustering algorithm is used to extract individual hyperbolae in B-scans, eliminate mutual influence in the process, and suppress noise. …”
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EFFICIENCY OF STRUT-FRAMED BEAMS WITH OPTIMAL PARAMETERS by A. K. Yusupov, Kh. M. Muselemov, T. O. Ustarkhanov

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A Smart Housing Recommender for Students in Timișoara: Reinforcement Learning and Geospatial Analytics in a Modern Application by Andrei-Sebastian Nicula, Andrei Ternauciuc, Radu-Adrian Vasiu

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Underestimated Cost of Targeted Attacks on Complex Networks by Xiao-Long Ren, Niels Gleinig, Dijana Tolić, Nino Antulov-Fantulin

“…The results on real and artificial networks show that the HPI-Ncut algorithm outperforms all the node removal and link removal attack algorithms when the same definition of cost is taken into consideration. …”
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OPTIMIZATION OF AUTOMOBILE TRANSPORTATION COSTS IN INDUSTRIAL ENTERPRISE by V. M. Kurganov, V. N. Mukayev, M. V. Gryaznov

“…The economic-mathematical model and the algorithm of decisions development on optimization of the automobile transportations costs in the industrial enterprise, which provide balance of interests of the customer to lower costs of motor transportation services and of the carrier to increase business profitability are offered. …”
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Optimization of costs in the enterprise. Effective strategies for business by N. Yu. Pracheva

“…The article is devoted to an effective methods of cost optimization in small business. All of them, used at the right time, make it possible to improve the situation and maximize profits by reducing costs.…”
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Explainable machine learning to predict the cost of capital by Niklas Bussmann, Paolo Giudici, Paolo Giudici, Alessandra Tanda, Alessandra Tanda, Ellen Pei-Yi Yu

“…This study investigates the impact of financial and non-financial factors on a firm's ex-ante cost of capital, which is the reflection of investors' perception on a firm's riskiness. …”
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Problematic aspects of management accounting for operating costs by Ya.F. Averkyn

“…The article presents the author's algorithm for assigning overhead costs to accounts 23 and 90. …”
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Toward value-based care using cost mining: cost aggregation and visualization across the entire colorectal cancer patient pathway by Maura Leusder, Sven Relijveld, Derya Demirtas, Jon Emery, Michelle Tew, Peter Gibbs, Jeremy Millar, Victoria White, Michael Jefford, Fanny Franchini, Maarten IJzerman

“…Results Cost mining with the algorithm enabled exploration of costly integrated pathways, i.e. drilling down in high-cost pathways to discover cost drivers, for 4246 cases covering approx. 4 million care activities. …”
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Economic costs of alcohol use in Sri Lanka. by Sajeeva Ranaweera, Hemantha Amarasinghe, Nadeeka Chandraratne, Montarat Thavorncharoensap, Thushara Ranasinghe, Sumudu Karunaratna, Dinesh Kumara, Benjarin Santatiwongchai, Usa Chaikledkaew, Palitha Abeykoon, Amala De Silva

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Competitive plasticity to reduce the energetic costs of learning. by Mark C W van Rossum, Aaron Pache

“…The results might lead to a better understanding of biological plasticity and a better match between artificial and biological learning. Moreover, the algorithms might benefit hardware because also electronic memory storage is energetically costly.…”
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Root-MUSIC-based joint TOA and DOA estimation in IR-UWB by Fang-qiu WANG, Xiao-fei ZHANG, Fei WANG

“…Aiming at this, an algorithm of root-MUSIC-based joint TOA and DOA estimation in IR-UWB system was proposed. …”
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Platform-independent Specification and Verification of the Standard Mathematical Square Root Function by Nikolay V. Shilov, Dmitry A. Kondratyev, Igor S. Anureev, Eugene V. Bodin, Alexei V. Promsky

“…Incrementality means that we start with the most straightforward specification of the simplest case to verify the algorithm in real numbers and finish with a realistic specification and a verification of the algorithm in computer arithmetics. …”
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Noise Reduction of Steam Trap Based on SSA-VMD Improved Wavelet Threshold Function by Shuxun Li, Qian Zhao, Jinwei Liu, Xuedong Zhang, Jianjun Hou

Subjects: “…sparrow optimization algorithm…”
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Three-dimensional visualization of maize roots based on magnetic resonance imaging by Fang Xiaorong, Wang Nanfei, Zhang Jianfeng, Gong Xiangyang, Liu Fei, He Yong

“…The root model was reconstructed with improved volume rendering algorithm in the environment of Visualization Toolkit 5.4. …”
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Improved grey wolf optimization algorithm based service function chain mapping algorithm by Yue ZHANG, Junnan ZHANG, Xiaochun WU, Chen HONG, Jingjing ZHOU

“…With the rise of new Internet applications such as the industrial Internet, the Internet of vehicles, and the metaverse, the network’s requirements for low latency, reliability, security, and certainty are facing severe challenges.In the process of virtual network deployment, when using network function virtualization technology, there were problems such as low service function chain mapping efficiency and high deployment resource overhead.The node activation cost and instantiation cost was jointly considered, an integer linear programming model with the optimization goal of minimizing the average deployment network cost was established, and an improved grey wolf optimization service function chain mapping (IMGWO-SFCM) algorithm was proposed.Three strategies: mapping scheme search based on acyclic KSP algorithm, mapping scheme coding and improvement based on reverse learning and nonlinear convergence were added to the standard grey wolf optimization algorithm to form this algorithm.The global search and local search capabilities were well balanced and the service function chain mapping scheme was quickly determined by IMGWO-SFCM.Compared with the comparison algorithm, IMGWO-SFCM reduces the average deployment network cost by 11.86% while ensuring a higher service function chain request acceptance rate.…”
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Hybrid Optimization Technique for Solving Economic Dispatch Problem: A Case Study of Nigerian Thermal Power System by Gafari Abiola Adepoju, Muniru Olajide Okelola, Muhammed Adekilekun Tijani

Subjects: “…Economic Dispatch, Particle Swarm Optimization, Bat Algorithm, Hybrid Optimization Techniques, Generation Costs.…”
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