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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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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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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Bioinformatics Analysis of Opioids: Correlating Physicochemical Properties with Pharmacokinetics, Pharmacodynamics, and Molecular Interactions by Alexandra Loredana ALMĂŞAN, Maria MERNEA

“…Stability analysis showed ligand-receptor complexes remained intact, with minimal fluctuations and consistent interactions at the active site. …”
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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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Optimization of Sparse Concentric Ring Arrays for Low Sidelobe by Kesong Chen, Yafei Li, Jiajia Shi

“…The MGA uses real number to code the optimization variable, and it reduces the complexity of coding and improves the search efficiency. …”
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Mamba-STFM: A Mamba-Based Spatiotemporal Fusion Method for Remote Sensing Images by Qiyuan Zhang, Xiaodan Zhang, Chen Quan, Tong Zhao, Wei Huo, Yuanchen Huang

“…The spatial expert adaptively adjusts channel weights to optimize spatial feature representation, enabling precise alignment and fusion of multi-resolution images, while the temporal expert incorporates a temporal squeeze-and-excitation mechanism and selective state space model (SSM) techniques to efficiently capture short-range temporal dependencies, maintain linear sequence modeling complexity, and further enhance overall spatiotemporal fusion throughput. …”
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small industrial cities. Heritage update. Tatiana Bystrova. Review by Mariya S. Frolova

“…The author shows the foundations of the stability of this system, the specifics of the architecture of industrial buildings and complexes, and the everyday culture of the region.The methods and cases of work with historical and cultural heritage introduced into scientific circulation in different regions of the world are selected taking into account the current economic, demographic, social processes in small Russian cities, which increases the efficiency of their possible use. …”
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Adaptive beamforming of massive MIMO based on DoA in high mobility scenarios by Yong LIAO, Yu-feng LI, Xuan-fan SHEN

“…A direction of arrival based (DoA-based) beamforming of massive MIMO was proposed for high-speed railway scenarios.In order to guarantee that the optimal system capacity can be obtained during traveling,an iterative multi-beams scheme was proposed.It aimed to design different beams for different mobile carriage terminals (MCT) respectively.The proposal adaptively selected the number of antennas for each beam,and adaptively designed the number of beams according to system capacity.Moreover,the scheme didn’t need channel state information (CSI) that can reduce system implementation complexity and cost.Numerical results indicate that the proposed scheme is suitable for high-speed scenarios,the system performance can be improved more efficiently compared to conventional methods.…”
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PAPR optimization based on SLM and PTS algorithms in NC-OFDM systems by Jie ZHOU, Bernardo Esono Esono Mikue, Xueying WANG, Huiting ZHOU, Hong LUO

“…Based on the non-continuous orthogonal frequency division multiplexing (NC-OFDM) model, a fusion optimization technology based on selected mapping (SLM) algorithm and partial transmit sequence (PTS) algorithm was proposed, and a system model of fusion technology was designed.Through simulation comparison with other literature methods, it was verified that the SLM-PTS fusion technology had excellent peak to average power ratio (PAPR) reduction ability, but the algorithm implementation complexity was too high.Therefore, a complementary SLM-Clipping fusion solution was proposed, and the deep learning method PAPRnet model was construted.The simulation results verif that prove the effectiveness of the method, the algorithm has an excellent PAPR suppressed effect on the NC-OFDM system, and greatly improves the computational efficiency.…”
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