Risk Prediction and Response Strategies in Corporate Financial Management Based on Optimized BP Neural Network by Meijia Zhai

“…To improve the accuracy of financial risk prediction, principal component analysis and particle swarm algorithm are applied to optimize the BP neural network model, the input data of the prediction model is improved, and the optimal initial weights and thresholds are given to the BP neural network by using particle swarm algorithm search, whereby the financial risk prediction model of particle swarm optimization BP neural network is constructed. …”
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Research on Energy-Efficient Building Design Using Target Function Optimization and Genetic Neural Networks by Youxiang Huan

“… OBJECTIVES: This research aims to provide data for decision-makers to achieve sustainability in building construction projects. METHODS: A multi-objective optimization method, using the non-sorting genetic algorithm (NSGA-II), assesses energy efficiency by determining optimal wall types, insulation thickness, and insulation type. …”
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A Multi-Sensor Fusion Approach Combined with RandLA-Net for Large-Scale Point Cloud Segmentation in Power Grid Scenario by Tianyi Li, Shuanglin Li, Zihan Xu, Nizar Faisal Alkayem, Qiao Bao, Qiang Wang

“…This integration enables the construction of a colored point cloud dataset with rich visual and geometric features. …”
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Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach by Ting Ni, Xiaohong Zhang, Peng Leng, Mark Pelling, Jiuping Xu

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Jointly designed quasi-cyclic LDPC-coded cooperation with diversity combining at receiver by Muhammad Asif, Wuyang Zhou, Qingping Yu, Saifullah Adnan, Md Sadek Ali, Muhammad Shahid Iqbal

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Method for designing specialized computing systems based on hardware and software co-optimization by I. Е. Tarasov, P. N. Sovietov, D. V. Lulyava, D. I. Mirzoyan

“…Approaches to the analysis of computational problems involving the construction of a computational graph abstracted from the computing platform, but limited by a set of architectural solutions, are considered. …”
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Calculation Method of Tunnel Over-Under Excavation Based on Point Cloud Data by ZHANG Zhipeng, CHENG Wenming, DU Run, CHEN Hetian

“…[Objective] During tunnel construction using the drilling and blasting method, over-excavation and under-excavation issues are always unavoidable. …”
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Multi-objective Flexible Planning of Transmission Network Considering Wind Power and Load Uncertainties by Juanjuan WANG, Tao WANG, Zihan LIU, Hainan ZHU, Fengshuo LI, Huazhong SUN

“…Large-scale centralized integration of wind power into power grid significantly enhances the uncertainty of power output in transmission network. …”
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The Prediction of the Compaction Curves and Energy of Bituminous Mixtures by Filippo Giammaria Praticò, Giusi Perri

“…The optimisation of road construction planning and design prioritises safety, comfort, cost-effectiveness, and sustainability by aligning with sustainable development goals (SDGs) and integrating life cycle assessment (LCA)-based criteria. …”
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Automated model refinement using perturbation-observation pairs by Kyu Hyong Park, Jordan C. Rozum, Réka Albert

“…We implement a genetic algorithm-based workflow (boolmore) to streamline Boolean model refinement. …”
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RETRACTED: Robot Path Planning Method Based on Indoor Spacetime Grid Model by Huangchuang Zhang, Qingjun Zhuang, Ge Li

“…On the basis of the model, a dynamic path planning algorithm for the robot in the complex time-varying indoor environment is designed, that is, the Spacetime-A* algorithm (STA* for short). …”
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Analysing morphogenetic design approaches in the context of hypothetical housing examples by Anday Türkmen

“…Conceptual approaches that systematically integrate ecological reasoning with algorithmic design processes have gained increasing attention in theoretical discussions on architectural practice. …”
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Communication optimization method of digital-analog hybrid simulation system based on min-cut partition by Li Yiyuan, Mu Qing, Xue Wei

“…Dealing with the high latency of cross-layer communication and the unequal number of available processor cores on each computing node due to heterogeneous acceleration equipment is the main challenge of the partitioning and mapping algorithm. Aiming at the electromagnetic transient simulation system ADPSS developed by China Electric Power Research Institute, this paper designs a two-stage integrated optimization algorithm of power grid division and process mapping, which achieves a better load balance and minimizing communication, and further reduces the calculation time of the electromagnetic transient simulation. …”
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Minimal coverage of generalized typed inclusion dependencies in databases by Sergey V. Zykin

“…The paper discusses the theory and algorithms necessary to construct a minimal covering of generalized typed inclusion dependencies. …”
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Combining Camera–LiDAR Fusion and Motion Planning Using Bird’s-Eye View Representation for End-to-End Autonomous Driving by Ze Yu, Jun Li, Yuzhen Wei, Yuandong Lyu, Xiaojun Tan

“…Meanwhile, image-guided LiDAR BEV feature construction enriches sparse LiDAR BEV features by integrating complementary information from the images. …”
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Combating electricity fraud: Employing hybrid learning and computer vision for sustainable energy management by Jui-Sheng Chou, Nader Anwar Charaf, Dani Nugraha Limantono, Hoang-Minh Nguyen

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Prediction of Transformer Residual Flux Based on J-A Hysteresis Theory by Qi Long, Xu Yang, Keru Jiang, Changhong Zhang, Mingchun Hou, Yu Xin, Dehua Xiong, Xiongying Duan

“…The problem of slow convergence speed and susceptibility to local optima in traditional particle-swarm optimization algorithms is solved by optimizing the velocity and position-update formulas of particles in this algorithm. …”
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Stability Analysis and Support Optimization of Tunnel Surrounding Rock with Weak Interlayer Based on Catastrophe Theory by Tuo Zhang, Jinhai Zhao, Renfei Kuang, Chengyang Li

“…Finally, to minimize support construction costs, an optimization model is established by integrating the Particle Swarm Optimization (PSO) algorithm and the Radial Basis Function (RBF) neural network. …”
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Mathematical models of dynamic systems that include layered watered poroelastic foundations by Elena A. Usoshina, Tatiana V. Suvorova, Arkady N. Solovyev

“…Applying the Fourier integral transform to the equations that describe continuous media under satisfying boundary conditions allows the construction of integral formulas describing the stress-strain condition in the layer package. …”
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Research on Designing an Industrial Product-Service System with Uncertain Customer Demands by Fei Zhang, Liecheng Jia, Weizhen Han

“…This paper presents a design model that integrates an improved affinity propagation (AP) clustering algorithm, quality function development (QFD), and axiomatic design (AD). …”
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