Maritime accidents analysis using maritime human factors and analysis model by Eslam A. Youssef, Sameh F. El Sayed, Said Abdelkader

“…<p>The majority of global trade is still carried out by the commercial shipping sector, although it lags behind other transport sectors in terms of safety and accident reduction. Human error is recognized as the most likely cause of maritime accidents.…”
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Prediction of Freezing Time During Hydrogen Fueling Using Machine Learning by Ji-Ah Choi, Ji-Seong Jang, Sang-Won Ji

“…The comparison revealed that the maximum error rate occurred after the second refueling, with a value of approximately 4.79%. …”
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Temperature effects in composite structures of resonant frequency pressure sensor by Vtorushin Sergey, Talovskaya Alena, Barbin Evgenii, Kulinich Ivan

“…Temperature effects can introduce significant errors in measurements and also cause a reduction in sensitivity thresholds during operation. …”
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External Financial Flows and Domestic Credit Volatility Effect on Industrialization in Selected African Countries by Wushibba Bako

“…The author used the Prais-Winsten regression method with Panel Corrected Standard Errors (PCSE) to estimate and analyze the model. Descriptive and quantitative methods of analysis were also used to analyze the long-balanced panel data set for the 17 selected African countries with available data. …”
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Study on Mesh-apart Angle and Discharge Angle of Scroll Compressor with Symmetrical Circular Arc plus Line-Shaped Top Profile by Wu Hao, Liu Xiangnong, Wang Tiejun, Liu Zhengshi

“…There is no complete and distinct elaboration about the two kinds of angles yet, so it may cause large errors in calculating different compression chambers.Through in-depth research on the geometric property of scroll compressor with symmetrical circular arc plus line-shaped top profile, mesh-apart angle and discharge angle are defined and distinction between them is illustrated. …”
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Key Perception Technologies for Intelligent Docking in Autonomous Modular Buses by Ye Xiao, Yuxuan Zheng, Xin Liu, Yifen Ye

“…Experimental results demonstrate that our method achieves a substantial reduction of errors in x and y axes, as well as the heading angle compared with other state-of-the-art perception methods. …”
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Blackman–Tukey spectral estimation and electric network frequency matching from power mains and speech recordings by Georgios Karantaidis, Constantine Kotropoulos

“…Maximum correlation coefficient and minimum standard deviation of errors are employed to measure ENF estimation accuracy. …”
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Darwinian Philosophy as Optimization Method for Design High Reflection Mirror Include New Merit Function by Baghdad Science Journal

“…This work appears designed high reflection mirror that have good performance with reduction the number of layers, which can enable one to controlling the errors effect of the thickness layers on the final product, where in this work we can yield such a solution in a very shorter time by controlling the length of the chromosome and optimal genetic operators . …”
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Category-like representation of statistical regularities allows for stable distractor suppression by Catherine W. Seitz, Anthony W. Sali

“…We then used computational modeling to explore whether the strength of suppression was best explained by continuous distractor frequency summation, reinforcement learning prediction errors, or a categorical all-or-nothing response. …”
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A sequential-generation-based intelligent method for layout of pipeline supports by Jingjing Wu, Qichang He

“…Finally, the proposed method’s validity was confirmed via real-world design cases, demonstrating an accuracy of 91.55% with minimal errors and a 40-fold reduction in the design cycle.…”
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Enhancing Eye-Hand Coordination with Therapy Intervention to Improve Visual-Spatial Abilities using ‘The Re-training Approach’ in Children with Down Syndrome: Three Case Studies... by Deena Ashok, Sumi S, Shruti Nadkarni

“…This improvement manifested in the reduction of time taken to perform the coordination tests and in the errors made while performing the tests.…”
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From Patterns to Pills: How Informatics Is Shaping Medicinal Chemistry by Alexander Trachtenberg, Barak Akabayov

“…By identifying and optimizing informacophores through in-depth analysis of ultra-large datasets of potential lead compounds and automating standard parts in the development process, there will be a significant reduction in biased intuitive decisions, which may lead to systemic errors and a parallel acceleration of drug discovery processes.…”
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Failure Analysis of Static Analysis Software Module Based on Big Data Tendency Prediction by Jian Zhu, Qian Li, Shi Ying

“…In the paper, static analysis software is taken as the research object, the errors or failures caused by the potential defects of the software modules are analyzed, and a software analysis method based on big data tendency prediction is proposed to use the software defects of the stacked noise reduction sparse analyzer to predict. …”
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Research on Performance of Asymmetrical Shutter Fins in Microchannel Heat Exchanger by Gou Weilong, Liu Yusheng, Feng Jiawang, Li Jiawei, Li Wanyong, Chen Jiangping

“…This study also conducted experimental research on a new type of fin, and the results show that most of the errors between the experimental and simulation results are below 10%.…”
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In quest for Cardinal Vowels by W. JASSEM, M. KRZYŚKO

“…In a 4-D space, the tokens could be correctly assigned 95% of the time using Bayes estimators of discriminant scores. The error increases with the reduction of the number of variables to three or two. …”
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Low-Power and Reliable Communications for UWB-Based Wireless Monitoring Sensor Networks in Underground Mine Tunnels by Mohamad Abou El-Nasr, Heba Shaban

“…This paper investigates the bit-error-rate (BER) and maximum allowable data throughput (MADTh) performance of a novel low-power mismatched Rake receiver structure for ultra wideband (UWB) wireless monitoring sensor networks in underground mine tunnels. …”
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A Bio-Inspired Data-Driven Locomotion Optimization Framework for Adaptive Soft Inchworm Robots by Mahtab Behzadfar, Arsalan Karimpourfard, Yue Feng

“…The neural network achieves superior velocity prediction performance, with a coefficient of determination (R²) of 0.9362 and a root mean squared error (RMSE) of 0.3898, surpassing previously reported models, including linear regression, LASSO, decision trees, and random forests. …”
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A New Hybrid Model for Underwater Acoustic Signal Prediction by Guohui Li, Wanni Chang, Hong Yang

“…The experimental results show that the proposed new hybrid model can provide enhanced accuracy with the reduction of prediction error compared with other existing prediction methods.…”
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Active Vibration Control of Plate Partly Treated with ACLD Using Hybrid Control by Dongdong Zhang, Ling Zheng

“…Meanwhile, perfect robustness to phase error of the cancellation path in feedforward controller and the weight matrices in feedback LQG controller is demonstrated in proposed hybrid controller. …”
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Motion estimation algorithm using 2 bit-depth pixel and fuzzy quantization by Chuan-ming SONG, Yan-wen GUO, Xiang-hai WANG, Dan LIU

“…To further predict the precision of the proposed algorithm, a bit resolution reduction error-motion vector precision model was built by exploiting the auto-correlation function. …”
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