An optimized method for short-term load forecasting based on feature fusion and ConvLSTM-3D neural network by Xiaofeng Yang, Shousheng Zhao, Kangyi Li, Wenjin Chen, Si Zhang, Jingwei Chen

“…A case study using real-world data validates the proposed method, demonstrating significant improvements in forecasting accuracy.…”
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Experimental Evaluation of MIMO-OFDM System with Rateless Space-Time Block Code by Ali H. Alqahtani, Khaled Humadi, Ahmed Iyanda Sulyman, Abdulhameed Alsanie

“…It has been shown that RSTBC can be implemented in real-world scenarios and guarantee the reliability of loss-prone wireless channels.…”
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A Novel Power-Driven Grey Model with Whale Optimization Algorithm and Its Application in Forecasting the Residential Energy Consumption in China by Peng Zhang, Xin Ma, Kun She

“…Two validations on real-world datasets are conducted, and the results indicate that the power-driven grey model has significant advantages on the aspect of prediction performance compared with the other seven classical grey prediction methods. …”
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Test of the Equality of Several High-Dimensional Covariance Matrices: A Normal-Reference Approach by Jingyi Wang, Tianming Zhu, Jin-Ting Zhang

“…Consequently, these methods often lack robustness when applied to real-world data, as verifying the required assumptions can be arduous. …”
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Optimizing power grids: A valley-filling heuristic for energy-efficient electric vehicle charging. by Guilherme Gloriano de Souza, Ricardo Ribeiro Dos Santos, Ruben Barros Godoy

“…These findings indicate that LCVF could play a crucial role in enhancing real-world EV charging infrastructure, boosting energy efficiency and grid stability. …”
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Monte Carlo Based Personalized PageRank on Dynamic Networks by Zhang Junchao, Chen Junjie, Jiancheng Song, Rong-Xiang Zhao

“…In a dynamic network, first, we do a random walk starting from each node and save the performed walks into a fingerprint database; second, we update the fingerprint database in a fixed time interval with our proposed update algorithm; finally, when a query is issued by a user, we estimate the Personalized PageRank vector by our proposed approximation algorithm. Experiments on real-world networks show that our method can handle multichanges of the underlying network at a time and is more efficient than related work, so it can be used in real incremental Personalized PageRank-based applications.…”
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A Branch-and-Price Algorithm for Balancing Two-Sided Assembly Lines with Zoning Constraints by Qidong Yin, Xiaochuan Luo, Julien Hohenstein

“…In addition, experiments on the real-world datasets originating from passenger vehicle assembly lines are conducted. …”
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Improving source code suggestion with code embedding and enhanced convolutional long short‐term memory by Yasir Hussain, Zhiqiu Huang, Yu Zhou

“…We extensively evaluated the proposed approach with three baselines on ten real‐world projects and the results are suggesting that the proposed approach surpasses state‐of‐the‐art approaches. …”
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Effective Density-Based Clustering Algorithms for Incomplete Data by Zhonghao Xue, Hongzhi Wang

“…The performances of the proposed algorithms are evaluated using ten synthetic datasets and five real-world datasets with induced missing values. The experimental results show the effectiveness of the proposed algorithms.…”
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SDN-Enabled Communication Network Framework for Energy Internet by Zhaoming Lu, Chunlei Sun, Jinqian Cheng, Yang Li, Yong Li, Xiangming Wen

“…Finally, we evaluate and verify the performance of this framework in terms of latency, reliability, and security by both theoretical analysis and real-world experiments.…”
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Industrial solar heat potential in Chile: A technical-economic analysis by Diego Naranjo, Francisco Fuentes, Iván Muñoz

“…The central zone, especially the Metropolitan region, demonstrates significant potential for steam generation, achieving an average solar fraction of 50 % and producing 295 GWh/year of solar thermal energy. Validation with real-world data demonstrated an average error margin of 21 %, underscoring the developed heat load calculation model's reliability. …”
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A Variable Interval Rescheduling Strategy for Dynamic Flexible Job Shop Scheduling Problem by Improved Genetic Algorithm by Lei Wang, Chaomin Luo, Jingcao Cai

“…In real-world manufacturing systems, production scheduling systems are often implemented under random or dynamic events like machine failure, unexpected processing times, stochastic arrival of the urgent orders, cancellation of the orders, and so on. …”
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Traffic Flow Prediction Based on Large Language Models and Future Development Directions by Zhang Muhua, Zhao Wenzheng

“…It bridges the gap between technical performance and real-world application needs. While maintaining accuracy comparable to deep learning baselines, R2T-LLM offers intuitive and reliable prediction explanations. …”
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The dynamics of higher-order novelties by Gabriele Di Bona, Alessandro Bellina, Giordano De Marzo, Angelo Petralia, Iacopo Iacopini, Vito Latora

“…Through extensive analysis of real-world data, we find that processes with the same pace of discovery, as measured by the standard Heaps’ exponent, can instead differ at higher orders. …”
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Overlapping community detection in complex networks based on multi kernel label propagation by Kun DENG, Wen-ping LI, Fa-hong YU, Jian-pei ZHANG

“…In view of the strong randomness and pre-setting the related threshold of traditional overlapping community detection method based on label propagation,overlapping community detection in complex networks based on multi kernel label propagation (OMKLP) was proposed.Evaluation model of kernel nodes was proposed after analyzing the node's degree and local covering density of nodes and their neighbor nodes.And on this basis,the detection method of local kernel nodes was also presented.Based on local kernel nodes,a new asynchronous label propagation strategy ori-ented to overlapping community was proposed,which can rapidly distinguish inner nodes and outer nodes of communi-ties so as to obtain overlapping community structure.The analysis method of overlapping nodes was proposed to increase the accuracy of detecting overlapping nodes.Without any prior knowledge,only on the basis of the basic network infor-mation (nodes and links),the algorithm can detect the structure of overlapping communities accurately.Therefore,it ef-fectively solved the defect of the traditional label propagation algorithm.The algorithm was tested over benchmark net-works and real-world networks and also compared with some classic algorithms.The experiment results verify the valid-ity and feasibility of OMKLP.…”
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Effective Inertial Hand Gesture Recognition Using Particle Filtering Based Trajectory Matching by Zuocai Wang, Bin Chen, Jin Wu

“…After smoothing, the trajectory is then converted to low-definition images which are further sent to a backpropagation neural network (BP-NN) based recognizer for matching. Experiments on real-world hardware are carried out to show the effectiveness and uniqueness of the proposed method. …”
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A Cloud API Personalized Recommendation Method Based on Multiple Attribute Features and Mashup Requirement Attention by Limin Shen, Yuying Wang, Chengyu Li, Zhen Chen

“…Extensive experiments on real-world datasets demonstrate the effectiveness of the proposed method.…”
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Ambivalent and Contradictory: Victorian Architects’ Responses to Technology by Richard W. Hayes

“…How did individual Victorian architects square such critiques with the need to build for real-world clients in the here and now of the nineteenth century? …”
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Modified Chen distribution: Properties, estimation, and applications in reliability analysis by M. G. M. Ghazal

“…The findings suggested that the MCD offered the best fit for these datasets, highlighting its potential applicability to real-world problems and its suitability as a model for analyzing and predicting device failure times.…”
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Inverted Length-Biased Exponential Model: Statistical Inference and Modeling by Waleed Almutiry

“…It provides a more flexible approach that may be used to represent many forms of real-world data. The quantile function (QuF), moments (MOs), moment generating function (MOGF), mean residual lifespan (MRLS), mean inactivity time (MINT), and probability weighted moments (PRWMOs) are among the mathematical and statistical features of the inverted length-biased exponential distribution. …”
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