Dynamics analysis of the 3-[P（RR-RRR）SR] kinematically redundant parallel mechanism by HE Qizhen, ZHANG Haifeng, CHEN Qiaohong, YE Wei

“…Finally, the model was simulated by tracking the quintic polynomial trajectory of the end effector and compared with the calculation results of Adams software.ResultsThe analysis results indicate that the maximum relative error between the theoretical and simulated values of the driving force/torque at each joint is only 1.58%. …”
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Pre-modulated multi-coset sampling system by Huang Zhen, Bai Zhengyao

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Energy analysis of tailor rolled blank rolling process based on a new velocity field and the unified yield criterion by Wen Hao Tian, Shun Hu Zhang, Yan Li

“…It indicates that the theoretical model using the Tresca yield criterion has the highest prediction accuracy, with an average error of 11.57%, which has demonstrated the importance of the selection of a yield criterion. …”
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Parameter Identification and Linear Model of Giant Magnetostrictive Vibrator by Anming Wang, Jianjun Meng, Ruxun Xu, Decang Li

“…The identification parameters of the two algorithms were employed, respectively, to calculate the excitation force and it was found that the relative error of IGA was evidently smaller than that of DEA, indicating that the former was more reliable than the latter. …”
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Assessment of morbidity profile among workers of metallurgy factories processing aluminium in Howrah district of West Bengal by Debasish Biswas, Manabendra Sau, Gautam Paik, Kishore P. Madhwani, Amalendu Samanta

“…The sample size for the proposed research study was 424 workers. Data were collected through a predesigned and pretested questionnaire and were subsequently analyzed by using suitable statistical package. …”
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Detection and Predictive Analysis of Drowsiness Using Non-contact Doppler Sensor by Chung Kyo In, Byung Chan Min

“…In terms of predicting drowsiness stages and actual drowsiness states, it was observed that a time error of approximately 20-30 seconds exists. The study aimed to detect drowsiness and predict drowsiness based on data acquired through a non-contact Doppler radar sensor.…”
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Processing ambient noise using wavelet analysis tools: the Iraqi Seismological broadband Network Data at Iraqi Meteorological Organization and seismology (IMOS) by Hasanain Jasim Mohammed, Ali M. Al-Rahim

“… The main objective of this research is to reduce the expected error between the original signal polluted by the implicit and estimated noise. …”
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A deep biometric hash learning framework for three advanced hand‐based biometrics by Huikai Shao, Dexing Zhong, Xuefeng Du

“…Abstract Hand‐based biometrics has undergone extensive research in recent decades. Besides fingerprint, which is commonly used in personal authentication, there are other three advanced hand‐based biometrics that are further researched worldwide, such as palmprint, palm vein, and dorsal hand vein. …”
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Penerapan Extreme Learning Machine (ELM) untuk Peramalan Laju Inflasi di Indonesia by Adyan Nur Alfiyatin, Wayan Firdaus Mahmudy, Candra Fajri Ananda, Yusuf Priyo Anggodo

“…Based on ELM testing gets obtained an error value of 0.0202008, smaller than the backpropagation method of 1.16035821. …”
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Fault detection in beam structure using adaptive immune based approach by Sasmita Sahu, Shakti P. Jena

“…The use of regression analysis makes the proposed method more adaptive and the residual error in the collection of vibration data is reduced. …”
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Validity of GPS data in driving cycles by Harry Smith II, Suhail Akhtar, Brian Caulfield, Margaret O'Mahony

“…Abstract There is continuous research into driving cycles (DCs) as researchers across the globe seek to define driving characteristics, energy consumption, and emissions in a local context. …”
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Prediction of coal and gas outbursts based on physics informed neural networks and traditional machine learning models by Lei Wang, Baoshan Jia, Guorui Su

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Generation of Structural Components for Indoor Spaces from Point Clouds by Junhyuk Lee, Yutaka Ohtake, Takashi Nakano, Daisuke Sato

“…The experimental results showed that the point-to-mesh error ranged from approximately 2 mm to 50 mm depending on the dataset. …”
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Global Buckling Simulation and Design of a Novel Concrete-Filled Corrugated Steel Tubular Column by Chao-Qun Yu, Sheng-Jie Duan, Jing-Zhong Tong

“…However, there is a lack of research on their stability behavior under such conditions. …”
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Predicting the Displacement of Single Battered Pile in Sandy Soil under Pullout Loading Using Artificial Neural Network by Ahmed Mohammed Najemalden

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An analytical examination of the performance assessment of CNN-LSTM architectures for state-of-health evaluation of lithium-ion batteries by Arun Jose, Sonam Shrivastava

“…Various learning models were employed to analyze the data obtained from this hardware, with the support vector machine-based model delivering the most accurate results, showing an error rate of .48 percent. In this study, an assessment was conducted on various Convolutional Neural Network-Long Short-Term Memory architectures to explore their complete potential, with the generic architecture yielding the most favorable outcomes. …”
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Leveraging the Global Innovation Index to Boost Manufacturing Efficiency in Algeria: An ARDL Model Study (2011-2022) by Souleyman Beghni, Meriyam Gourari

“…Conversely, innovation outputs, including knowledge and technology outputs and creative outputs, exhibit a weaker and statistically insignificant negative correlation with manufacturing growth. The error correction term is highly significant, indicating a rapid adjustment towards long-run equilibrium, with 47.2% of deviations corrected each quarter. …”
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Numerical Method for Determining Potential Coefficients Matrix for Multiconductor Transmission Line by Patiuk V.

“…The values of potential and capacitive coefficients obtained by calculation are given. The error of the values of the diagonal elements of the matrices of potential and capacitive coefficients is estimated as less than 0.1%.…”
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Capital market indicators and their impact on banking sector performance in Nigeria by Godswill Osuma, Abieyuwa Ohonba

“…However, in the short run, fluctuations in stock prices and market liquidity negatively impact bank growth, suggesting that capital market volatility may pose risks to banking operations. The Error Correction Model confirms a moderate speed of adjustment toward equilibrium, reinforcing the long-term relationship. …”
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Gradient boosting regression for faster Partitioned Iterated Function Systems‐based head pose estimation by Paola Barra, Riccardo Distasi, Chiara Pero, Stefano Ricciardi, Maurizio Tucci

“…Since, so far, the primary aim in HPE research has been on improving estimation accuracy, there are only a few works reporting the computing time of the proposed HPE method and even less explicitly addressing it. …”
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