Analysis of Production Process Performance Using Computer by Pawlak Szymon, Fornalczyk Agnieszka

“…Planning a production process in terms of correctly defining its efficiency, duration and the level of generated costs is a difficult task. …”
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A network traffic classification method based on random forest and improved convolutional neural network by Bensheng YUN, Xiaoya GAN, Yaguan QIAN

“…In order to improve the efficiency and reduce the complexity of network traffic classification model, a classification method based on random forest and improved convolutional neural network was proposed.Firstly, the random forest was used to evaluate the importance of each feature of network traffic, and the feature was selected according to the importance ranking.Secondly, AdamW optimizer and triangular cyclic learning rate were adopted to optimize the convolutional neural network classification model.Then, the model was built on Spark cluster to realize the parallelization of model training.Adopting triangular cyclic learning rate with constant cycle amplitude, the experimental results of selecting 1 024, 400, 256 and 100 most important features as input show that the model accuracy is improved to 97.68%, 95.84%, 95.03% and 94.22%, respectively.The 256 most important features were selected and the experimental results based on adopting different learning rates show that the learning rate with half the cycle amplitude works best, the accuracy of the model is improved to 95.25%, and training time of the model is reduced by nearly half.…”
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Study on method of core collection construction for sensory quality traits of summer-planted vegetable soybean by HAN Li-de, HU Jin, XU Hai-ming, QIU Jia-xun, HUANG Zheng-lai

“…The result showed that the core collection for sensory quality traits well retained the genetic diversity and genetic complexity of the primary core accessions. The core collection for special traits may serve as an supplementary method for selecting excellent accession in quality breeding.…”
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Reliability Analysis of Tracked Vehicle Gear Transmission Box Considering Component Failure Correlation by Yan Sihong, Tao Fenghe, Jia Changzhi

“…The cumbersome operation and the complexity of solving the correlation coefficient of related components can be avoided through using Copula function. …”
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Investigating the psychometric properties of the Iranian version of the Post- Secondary Student Stressors Index by Majid Yousefi Afrashteh, Seyedeh Mohadeseh Sadidi Shal

“…Nowadays, due to the complexity of societies, many factors cause stress. …”
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Medium- and Long-term Forecast of Inflow of Dahuofang Reservoir Based on CEEMDAN-LSTM Model by WANG Chunyu, ZHANG Jing, YANG Xu, YAN Bin

“…As the flow process is subject to rain fall, temperature fluctuations, human activity intervention, and other multiple factors of complexity, its law of change shows significant randomness and uncertainty, greatly increasing the difficulty of medium- and long-term forecast and restricting its application effect in production practice. …”
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Digital Architectures for UWB Beamforming Using 2D IIR Spatio-Temporal Frequency-Planar Filters by Soumya Kondapalli, Arjuna Madanayake, Len Bruton

“…Frequency-planar beamforming enables highly-directional UWB RF beams at low computational complexity compared to digital phased-array feed techniques. …”
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3D CAD model classification based on Convolutional Neural Network by DING Bo, YI Ming

“…Due to the intrinsic complexity of 3D CAD models, the automatic model classification methods are scarce. …”
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Modified Code Index Modulation Scheme Based on Multi-Carrier M-ary DCSK System by Bin Yu, Guo-Ping Jiang, Hua Yang, Ya-Qiong Jia, Hao Liao, Xin Li

“…Abundant simulation results showed that the simulation results matched the theoretical results. The energy efficiency (EE), spectrum efficiency (SE), the data rate, and the complexity of the proposed system were carefully analyzed. …”
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The development and validation of an easy to use automatic QT-interval algorithm. by Ben J M Hermans, Arja S Vink, Frank C Bennis, Luc H Filippini, Veronique M F Meijborg, Arthur A M Wilde, Laurent Pison, Pieter G Postema, Tammo Delhaas

“…<h4>Results</h4>After visual inspection of the randomly selected complexes, 21 complexes were excluded because of evident noise, too flat T-waves or premature ventricular beats. …”
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An Examination of the Factors Affecting the Adoption of Digital Transformation by Librarians at Medical Universities Based on Rogers' Diffusion of Innovation Theory by Mohammadreza Azadifar, Afshin Hamdipour, Rasoul Zavaraqi, Hashem Atapour

“…Factor analysis highlighted relative advantage, trialability, complexity, compatibility, and observability as main attributes of digital transformation. …”
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Mythology Study and Comparison for Quadratic DC-DC Step-up Converters by ZAHRAA TALIB

“…Alongside the primary aims of its use, the researcher must address the practical aspects of the suggested approach, including duty cycle operational range, output voltage fluctuations, reduction of component consumption, cost, and complexity. This article examines and compares quadratic step-up converter topologies from recent years, highlighting researchers' endeavours to attain high voltage transfer gain, regulated output, and efficiency. …”
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Emotional intelligence, support, and organizational culture’s impact on decision-making: mediation and moderation analysis in academia by Saqib Munir, Muhammad Khalid Anser, Syed Tahir Hussain Shah, Talat Islam, Khalid Zaman

“…The findings suggested that emotional intelligence competence, organizational support, complexity of the academic environment, and role seniority all have significant direct effects on academia decision-making efficiency (ADME). …”
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Comparative analysis of VMAT plans on Halcyon and infinity for lung cancer radiotherapy. by Kainan Shao, Fenglei Du, Lingyun Qiu, Yinghao Zhang, Yucheng Li, Jieni Ding, Wenming Zhan, Weijun Chen

“…Objective The dosimetric characteristics and treatment efficiency of VMAT plans using two linear accelerator platforms, Halcyon and Infinity, in conventional radiotherapy for non-small cell lung cancer (NSCLC) are compared to provide data for selecting clinical equipment. …”
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Development of a hybrid adaptive control system for pyrolysis plants: A comparative study of conventional and intelligent approaches by Rysbek Aitolkyn, Sergazin Gani, Zhetenbayev Nursultan

“…The analysis focuses on key performance indicators such as reliability, adaptability, integration complexity, and predictive capability. Due to the nonlinear and dynamic nature of pyrolysis, selecting an appropriate control architecture is essential for improving efficiency, product quality, and environmental safety. …”
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The Hub Location and Flow Assignment Problem in the Intermodal Express Network of High-Speed Railways and Highways by Xiaoting Shang, Zhenghang Wang, Xin Cheng, Xiaoyun Tian

“…Considering the characteristics of multiple modes, flow balance, carbon emission, capacity constraints, and time constraints in the intermodal express network, a mixed-integer linear programming model is proposed with the objective of minimizing the total cost by determining the hub locations, allocations, mode selections, and flow assignments. Owing to the NP-hard computational complexity, an improved genetic algorithm with local search is designed by combining the genetic operators and two optimization strategies to solve the problem effectively. …”
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Research on Personal Loan Default Risk Assessment Based on Machine Learning by Liu Guangsen

“…In the present era of rapid development of the Internet and big data, the scale of personal loans and the complexity of personal credit data are growing rapidly. …”
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Unraveling the Reshaping of Human Resource Management Function: the mediating role of artificial intelligence by Samuel Bangura, Anos Chitamba Chitamba, Lucia Zithobile Ngidi, Sizwe Mbona

“… The dynamic nature of the modern work environment is characterized by increasing complexity, diversity, and adaptability beyond traditional workplaces. …”
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Investigating a three-dimensional convolution recognition model for acoustic emission signal analysis during uniaxial compression failure of coal by Tao Wang, Zishuo Liu, Liyuan Liu

“…By integrating group convolution and SE modules, this model significantly reduced both model and time complexity while preserving precision, enhancing efficiency. …”
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Behaviour of Silica and Florisil as Solid Supports in the Removal Process of As(V) from Aqueous Solutions by Andreea Gabor, Corneliu Mircea Davidescu, Adina Negrea, Mihaela Ciopec, Lavinia Lupa

“…The obtained results showed that, from the two considered materials, impregnated silica presents a higher efficiency with a good selectivity, able to remove As(V) from aqueous solutions containing trace concentrations.…”
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