The Research on Web-Based Testing Environment Using Simulated Annealing Algorithm by Peng Lu, Xiao Cong, Dongdai Zhou

“…In addition, using simulated annealing algorithm to solve the computing complexity of the system greatly improves the efficiency of select items from system and near-optimal solutions.…”
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Probability updating-based adaptive hybrid coding

“…To achieve the best coding efficiency,probability updating based huffman code and structured code were jointly used,and the best context model was selected according as the correlation of adjacent syntax elements. …”
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Optimization of Speed Limit Method for Freeways Considering AVs Under Rainy Weather by Le Yu, Qin Luo, Jianying He

“…The intelligent driver model (IDM) was selected as the basis for this study due to its complexity and applicability. …”
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Hierarchical diagnostic approach for performance problems in cloud computing platforms by MI Hai-bo1, WANG Huai-min1, CAI Hua2, YIN Gang1, ZHOU Qi2, SUN Ting-tao2, ZHOU Yang-fan3

“…A hierarchical diagnosis approach,namely Magnifier,was proposed,which models the execution path graph of a user request as component layer,module layer and function layer,and detects anomalies from higher layer to lower layer separately.Extensive experiments were conducted on the Alibaba cloud computing platform.The results indicate that,under the conditions of large volume of data and high complexity of execution paths,Magnifier can accurately and efficiently locate the prime causes of performance degradation.…”
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A Deep Learning Approach to Evaluating SISO-OFDM Channel Equalization by Saja S Hanoon, Hasan F Khazal, Thamer M Jamel

“… Channel equalization is crucial to the efficiency of wireless network systems. To improve communication reliability and decrease computing complexity, 5G networks have made great progress with the help of deep learning (DL). …”
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Improved CNN Prediction Based Reversible Data Hiding for Images by Yingqiang Qiu, Wanli Peng, Xiaodan Lin

“…Then, the prediction errors of pixels are sorted based on the predicted pixel complexities. In light of this, some sorted prediction errors with less complexity are selected to be efficiently applied for low-distortion data embedding with a traditional histogram-shifting technique. …”
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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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Improving the Principles of Identifying Critical Requirements for the Assembly of High-Precision Products by A. V. Nazaryev, P. Yu. Bochkarev

“…The application of this technique makes it possible to increase the reliability of the source information obtained during the implementation of an enlarged block of design procedures, as well as the validity and efficiency of identifying rational manufacturing technologies at subsequent stages of the system implementation, while providing the specified quality, accuracy of products, and reducing the complexity and cost of their manufacture.…”
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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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USING THE ANYLOGIC ENVIRONMENT FOR MODELING AND ANALYSIS OF THE INFORMATION SECURITY AUDIT PROCESS by Kamilla M. Khuranova, Igor D. Kologorov, Sergey A. Reznichenko, Leonid N. Kessarinskiy

“…The relevance of the study is due to the increasing complexity of cyber threats and the need to optimize the resources spent on ensuring the security of information systems. …”
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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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Utilizing process mining in quality management: A case study in radiation oncology. by Mohammad Bakhtiari

“…Radiation oncology is known for its complexity, inherent risks, and sheer volume of data. …”
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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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Load identification method based on one class classification combined with fuzzy broad learning by Wang Yi, Wang Xiaoyang, Li Songnong, Chen Tao, Hou Xingzhe, Fu Xiuyuan

“…Considering the recognition rate and model complexity, the fuzzy broad learning system is used to classify and recognize the screened samples. …”
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Sparse Cumulants Fitting for Direction-of-Arrival Estimation without Redundancy by Shuang Li, Xiaoxiao Jiang, Sai Ma, Yingguan Wang

“…Simulation results are presented to illustrate the effectiveness and efficiency of the proposed method.…”
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