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Integrating Moral Values in AI: Addressing Ethical Challenges for Fair and Responsible Technology
Published 2025-02-01“…Here author has proposed a new model named Ethical Alignment Algorithm (EAA). This model helps to integrate ethics with AI step-by-step. …”
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APPLICATION OF EXTREME VALUE OF CHOQUE INTEGRAL IN DECIDING IN THE ECONOMIC THEORY OF THE ACTIVE CONNECT
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Evaluation of Cultural Value Validity of Digital Media Art Based on Locally Weighted Fitting Algorithm
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Identification of Low‐Value Defects in Infrared Images of Porcelain Insulators Based on STCE‐YOLO Algorithm
Published 2025-07-01“…To solve the above problems, this paper optimizes the small target and complex environment problems in the low‐value defect recognition of insulator infrared images, and proposes the STCE‐YOLO algorithm: based on YOLOv8, the deformable large kernel attention is used to improve the detection ability of small targets; then the cross‐modal contextual feature module is applied to Integrate the features of different scales to reduce the computation of the model. …”
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Automatic question-answering modeling in English by integrating TF-IDF and segmentation algorithms
Published 2024-12-01“…The English automatic question-answering model integrating word frequency-inverse document frequency and participle algorithm can satisfy the basic needs of teachers and students in online teaching, course question-answering, etc., which is of positive significance for the development of online education in the context of the Internet.…”
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Super class of implicit extended backward differentiation formulae for the numerical integration of stiff initial value problems
Published 2025-03-01“…An implicit Superclass of non-block Extended Backward Differentiation Formulae (SEBDF) for the numerical integration of first-order stiff system of Ordinary Differential Equations (ODEs) in Initial Value Problems (IVPs) with optimal stability properties is presented. …”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells
Published 2025-01-01“…Furthermore, machine learning models, including standard regression algorithms and neural networks, are leveraged to enhance signal interpretation and predictive capabilities. …”
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Facilitate integrated analysis of single cell multiomic data by binarizing gene expression values
Published 2025-07-01“…Here, we demonstrate that a direct concatenation of the binarized scRNA-seq data and the standard single cell ATAC-seq data is sufficient and effective for vertical integrated clustering analysis, after applying term-frequency-inverse document frequency (TF-IDF) and single value decomposition (also called latent semantic indexing, LSI) algorithms to the combined data, when the two data modalities are collected using a paired multiomic technology. …”
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Research on the impact of the integration of digital economy and real economy on China’s domestic value chain resilience
Published 2025-06-01“…Results The findings reveal that digital-real integration significantly enhances the resilience of domestic value chains, with a one-standard-deviation increase in integration reducing the volatility of value chain length by 4.22%. …”
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An Integrated Implementation Framework for Warehouse 4.0 Based on Inbound and Outbound Operations
Published 2025-07-01“…The improved mayfly algorithm demonstrates excellent performance, achieving 64.5–74.5% faster convergence and 20.1–24.7% lower fitness values compared to traditional algorithms. …”
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Research on multi-UAV autonomous obstacle avoidance algorithm integrating improved dynamic window approach and ORCA
Published 2025-04-01“…Regarding the lack of a global perspective in the DWA algorithm, a bidirectional search strategy was introduced to enhance the global value of the planned trajectory. …”
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A hybrid model for improving customer lifetime value prediction using stacking ensemble learning algorithm
Published 2025-05-01“…These essential metrics are subsequently integrated into the dataset. In order to further improve the accuracy of the predictions, this research uses a Stacking Ensemble model that combines four algorithms, i.e., Elastic Net, Random Forest, XGBoost, and SVM. …”
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Traffic Prediction of Space-Integrated-Ground Information Network Based on Improved LSTM Algorithm
Published 2020-12-01“…The space-integrated-ground information network is easy to interrupt and the traffi c fl uctuation is not stable due to the problems of high traffi c burst and topological time-varying, which makes the traffi c prediction diffi cult much higher than the ground.In order to solve this problem, an improved LSTM algorithm was put forward.Firstly, the traffi c autocorrelation was judged by analyzd the infl uence of the lag variable of traffi c sequence on the predicted value; Secondly, the noise and breakpoint of the training set were eliminated by replacing the interruption with the predicted value; Finally, Dropout algorithm was used to reduce the impact of noise and neural network over fi tting, and accurately predict the traffi c data of the integrated intelligent network.The simulation results showed that in OPNET simulation environment, compared with other algorithms, the accuracy of this algorithm was improved by 59.21%, and the training speed of the algorithm was improved by 11.11%, which could provide eff ective data support for the overall scheduling of the integrated intelligent network.…”
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An Improved Whale Optimization Algorithm for the Integrated Scheduling of Automated Guided Vehicles and Yard Cranes
Published 2025-01-01“…For container tasks of size 100, the objective function value (OFV) of the IWOA was reduced by 9.25% compared to the standard Whale Optimization Algorithm. …”
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Algorithm for the synthesis of linear antenna arrays with desired radiation pattern and integral amplitude coefficients
Published 2015-06-01“…From a given directivity function the discrete Fourier transform (DFT) in the form of an array of complex numbers is found, the resulting array is then transformed into a set of attenuations for attenuators and phase shifts for phase shifters, while the amplitude coefficients are rounded off to integers, and phases are binarizated (0, π). The practical value of this algorithm is particularly high when using controlled phase shifters and attenuators integrally. …”
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A lithofacies modeling method based on a new integrated algorithm and its application
Published 2023-04-01Get full text
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Arrhythmia detection with transfer learning architecture integrating the developed optimization algorithm and regularization method
Published 2025-07-01“…In this direction, Proposed Optimization Algorithm V5 and Proposed Regularization Method V5 approaches have been integrated into the MobileNetv2 transfer learning model. …”
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