Application of user preference mining algorithms based on data mining and social behavior in brand building by Yuhan Dong

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Application of Evolutionary Game to Analyze Dual-Channel Decisions: Taking Consumer Loss Aversion into Consideration by Shuang Zhang, Yueping Du

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A Data-Driven Noise Reduction Method and Its Application for the Enhancement of Stress Wave Signals by Hai-Lin Feng, Yi-Ming Fang, Xuan-Qi Xiang, Jian Li, Guan-Hui Li

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Application of FMEA and FTA techniques for assessing the occurrence of LOCA in a TRIGA MARK I Reactor by Keferson Almeida Carvalho, Graiciany de Paula Barros, Vanderley de Vasconcelos, Andre Augusto Campagnole dos Santos

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Application of Combined Weighting–Fuzzy Hierarchical Model in Condition Assessment of Concrete Continuous Girder Bridges by Jiali Yue, Hailin Lu, Rusheng Qian, Jun Tang

“…Compared to the results of the analytic hierarchy process model and the fuzzy comprehensive evaluation model, the proposed model is reliable and applicable.…”
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Variable Selection Using aModified Gibbs Sampler Algorithm with Application on Rock Strength Dataset by Ghadeer J. M. Mahdi, Othman M. Salih

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New Deep Learning-Based Approach for Source Code Generation: Application to Computer Vision Systems by Wafa Alshehri, Salma Kammoun Jarraya, Arwa Allinjawi

“…Deep learning has enabled significant progress in source code generation, aiming to reduce the manual, error-prone, and time-consuming aspects of software development. …”
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NOVEL MICROWAVE SENSOR FOR ENHANCED BIOCHEMICAL DETECTION AND PREDICTION THROUGH MACHINE LEARNING FOR INDUSTRIAL APPLICATIONS by G. Challa Ram, M. Venkata Subbarao, K. Padma Satya Sri, Naveen Kumar Maurya, D. Ramesh Varma, M. Prema Kumar

“…Performance analysis indicates that exponential regression outperforms other approaches, showcasing a minimal root mean squared error of 0.0013. Machine learning techniques bring about substantial enhancements in sensor performance, thereby creating pathways for sophisticated applications in biochemical sensing.…”
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Forecasting GICs and Geoelectric Fields From Solar Wind Data Using LSTMs: Application in Austria by R. L. Bailey, R. Leonhardt, C. Möstl, C. Beggan, M. A. Reiss, A. Bhaskar, A. J. Weiss

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Application of Optimized Adaptive Neuro-Fuzzy Inference for High Frame Rate Video Quality Assessment by Marko Matulin, Štefica Mrvelj, Marko Periša, Ivan Grgurević

“…Accurately measuring QoE is critical for ensuring user satisfaction in multimedia applications. In this study, an optimized adaptive neuro-fuzzy inference model that leverages subtractive clustering for high frame rate video quality assessment is presented. …”
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Dynamic Discrete GM (1,1) Model and Its Application in the Prediction of Urbanization Conflict Events by Ersi Liu, Qiangqiang Wang, Xinran Ge, Wei Zhou

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Modeling Markov Switching ARMA-GARCH Neural Networks Models and an Application to Forecasting Stock Returns by Melike Bildirici, Özgür Ersin

“…Therefore, the models are promising for various economic applications.…”
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Random Forest versus Support Vector Machine Models’ Applicability for Predicting Beam Shear Strength by Hayder Riyadh Mohammed Mohammed, Sumarni Ismail

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Research and application of visual synchronous positioning and mapping technology assisted by ultra wideband positioning technology by Yiran Zhang, Lina Dong

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Construction and application of two intrinsic models for Ti-Al composite plates considering current parameters by Tao Huang, Yihan Zhai, Binghui Xing, Chaomin Zhang, Nan Xiang, Kexing Song, Wenjing Zhang, Lei Shi

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Hardware implementation of EKF based SOC estimate for lithium-ion batteries in electric vehicle applications by G. Nishanth, M. Murali Krishnan, Balamurugan Parandhaman, J. Harinarayanan

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Application of Non-Linear System Model Updating Using Feature Extraction and Parameter Effects Analysis by John F. Schultze, François M. Hemez, Scott W. Doebling, Hoon Sohn

“…This approach is an expansion of the `classic' update metrics to include specific phenomena or character of the response that is critical to model application. This is an extension of the familiar linear updating paradigm of utilizing the eigen-parameters or frequency response functions (FRFs) to include such devices as peak acceleration, time of arrival or standard deviation of model error. …”
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A comprehensive study on robust Poisson James–Stein estimator for outlier and multicollinearity: Simulation and applications by Ohud A. Alqasem, Ali T. Hammad, Abdirashid M. Yousuf, E. Lsiddig Idriss Mohamed, Amin M. A. Haleeb, Ahmed M. Gemeay

“…In addition, two real-world applications confirm its effectiveness. Based on these findings, we recommend PMT-JSE for practitioners working with PRMs affected by outliers and multicollinearity.…”
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Efficient Parallel Carrier Recovery for Ultrahigh Speed Coherent QAM Receivers with Application to Optical Channels by Pablo Gianni, Laura Ferster, Graciela Corral-Briones, Mario R. Hueda

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Parameter estimation of submarine power cables in offshore applications using machine learning-based methods by Felipe P. de Albuquerque, Rafael Nascimento, Gabriel de Castro Biage, Rooney R.A. Coelho, Ronaldo F. Ribeiro Pereira, Eduardo C. Marques da Costa, Mario L. Pereira Filho, Cassio G. Lopes, José R. Cardoso

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