Equipment Maintenance Support Effectiveness Evaluation Based on Improved Generative Adversarial Network and Radial Basis Function Network by Zhen Li, Jianping Hao, Cuijuan Gao

“…At the same time, it also provides a good reference for evaluation research in other fields.…”
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Effects of aging on word position encoding in Chinese reading by Zhiwei Liu, Yan Li, Jingxin Wang

“…Abstract Recent research has highlighted a growing interest in word position coding during sentence reading, with young adults demonstrating flexible encoding of word positions. …”
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Intelligent Image Analysis and Recognition Method for Art Design Majors by Guoqiang An

“…The maximum prediction error of VB-CNN-GRU in art design image recognition is only 2.37%. …”
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Using Machine Learning on Macroeconomic, Technical, and Sentiment Indicators for Stock Market Forecasting by Michalis Patsiarikas, George Papageorgiou, Christos Tjortjis

“…Financial forecasting is a research and practical challenge, providing meaningful economic and strategic insights. …”
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Ensquared Energy and Optical Centroid Efficiency in Optical Sensors, Part 3: Optical Sensors by Marija Strojnik, Yaujen Wang

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Solution for Forward Kinematics of Parallel Mechanism based on PSO-BPNN and Newton-Raphson Algorithm by Qiguo Hu, Yanli Luo, Lijie Cao, Jun Zhang

“…Compared with the PSO-BPNN algorithm， the absolute error obtained by combining PSO-BPNN and Newton-Raphson algorithm is reduced by at least 99.68% and 99.96%， and the number of iterations is less. …”
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Surveying the knowledge of pregnant women towards sport activities during pregnancy using data mining algorithms by Fatemeh Bagherı, Fatemeh Islamı, Fatemeh Mohammadı

“…The purpose of this study is to research the knowledge of pregnant women towards sport activities using data mining algorithms. …”
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Testing the Level of Alternative Institutions as a Slowdown Factor of Economic Development: the Case of Montenegro by Mimo Draškovic, Sanja Bauk, Dalia Streimikiene, Veselin Draskovic

“…On the basis of the conducted statistical examines: standard error of the regression estimate, correlation coefficient, and coefficient of determination are calculated on the basis of previously determined regression coefficients and forecast values of the linear function of free variables (factors: a, b, and c). …”
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Floating Point Multiple-Precision Fused Multiply Add Architecture for Deep Learning Computation on Artix 7 FPGA Board by VINOTHENI, M. S., JAWAHAR SENTHIL KUMAR, V.

“…With an astoundingly low error rate of 0.013 % and an amazing accuracy rate of 99.987 %, the MPFMA in deep learning hardware not only enhances model performance but also contributes to energy conservation, making DL systems more sustainable and promising for the future of smart intelligence applications.…”
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BanglaNewsClassifier: A machine learning approach for news classification in Bangla Newspapers using hybrid stacking classifiers. by Tanzir Hossain, Ar-Rafi Islam, Md Humaion Kabir Mehedi, Annajiat Alim Rasel, M Abdullah-Al-Wadud, Jia Uddin

“…Also, we provided an in-depth analysis of model performances, including confusion matrices, ROC curves, and error analysis, offering insights into the strengths and limitations of each approach. …”
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Analysis of Damage Factors of Reinforced Concrete Frame Under Internal Explosion by Jiaxin Li, Jianping Yin, Xudong Li, Shi Rui

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Experimental Study on the Boiling Heat Transfer Characteristics in Micro-channel with Two Different Working Medium by Chen Yumin, Liu Dongyao

“…The results from heat transfer correlation taking scale effect and fluid properties into consideration have 14.2% and 16.6% MAE (Mean Absolute Error) for deionized water and anhydrous ethanol respectively. …”
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The impact of quantum circuit architecture and hyperparameters on variational quantum algorithms exemplified in the electronic structure of the GaAs crystal by Ivana Miháliková, Michal Krejčí, Martin Friák

“…Adjusting the hyperparameters in VQD significantly enhanced the accuracy of higher energy state calculations, reducing the error by an order of magnitude, whereas tuning the hyperparameters in SSVQE had minimal impact. …”
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Artificial intelligence for chimeric antigen receptor-based therapies: a comprehensive review of current applications and future perspectives by Muqadas Shahzadi, Hamad Rafique, Ahmad Waheed, Hina Naz, Atifa Waheed, Feruza Ravshanovna Zokirova, Humera Khan

“…However, there are also some challenges and limitations of using AI for CAR-based therapies, for example, the lack of high-quality and standardized data; the need for validation and verification of AI models; the risk of bias and error in AI outputs; the ethical, legal, and social issues of using AI for health care; and the possible impact of AI on the human role and responsibility in cancer immunotherapy. …”
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Student Enrolment and Output Effects in Poland: 2SLS and VAR Estimates by Joanna Żyra

“… Objective: The purpose of this article is to investigate the direct effects of student enrolment on industrial production and GDP while controlling other growth determinants such as physical capital investments and employment. Research Design & Methods: Educational effects on output, i.e. industrial production and gross domestic product (GDP), are estimated by means of Two-Stage Least Squares (2SLS) model, vector error-correction autoregression (VAR/VEC) model, and with the application of annual data sample for the period of 1992-2017. …”
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Ethics on the line: How obedience pressure shapes auditors’ decisions by Eko Yulianto, Retna Sari

“…In the scenario, a junior audit manager discovered a misstatement in fixed asset accounts; obedience pressure was simulated by imposing career advancement threats if the auditor did not ignore the error. Binary logistic regression was employed to predict the likelihood of issuing an unqualified audit opinion under different conditions. …”
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Improvements to Visual Design on the Online News Portal ABC.com by Employing Usability and Eye Tracking Methods by Rahmat Budi Soedirdjo, Argo Hadi Kusumo, Markus Hartono

“…Key usability aspects, such as content accessibility, error prevention, and visual appeal, are analyzed to improve the website’s layout. …”
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Deep Neural Network for Supervised Single-Channel Speech Enhancement by Nasir SALEEM, Muhammad IRFAN KHATTAK, Muhammad Yousaf ALI, Muhammad SHAFI

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On Certain Practical Issues Relating to Construction of the In-duct Single Mode Synthesizer by Łukasz GORAZD, Anna SNAKOWSKA, Jerzy JURKIEWICZ, Artur FLACH

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People tracking accuracy improvement in video by matching relevant trackers and YOLO family detectors by H. Quan, G. Ma, Y. Weichen, R. Bohush, F. Zuo, S. Ablameyko

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