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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Creation of high-conductive filtration channels in core samples when simulating acid exposure at a filtering unit by K. A. Ravelev, K. A. Vyatkin, P. Yu. Ilyushin

“…The main objectives are to determine the significance of these factors and to establish dependencies reflecting their effect on the efficiency of technologies aimed at stimulating oil inflow.Materials and methods. …”
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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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Identification and Evaluation of Indicators of Science, Technology, and Innovation in Policymaking from the Perspective of Experts by Esmaeil Shirali

“…Within the economic category, the indicators for the complexity of the production process average 3.97, the intensity of industrialization averages 3.72, and intellectual property payments average 3.59, indicating their high favorability. …”
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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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XR-Driven Robotic System Training for Occupational Health, Safety, and Maintenance by Yunus Emre Esen, Berk Kaan Cetincan, Kubra Yayan, Huseyin Guray Gurlek, Ugur Yayan

“…Scenario-based performance showed the average scores in health and safety tasks (72 points), while robotic system operations (60 points) and maintenance (54 points) reflected increasing task complexity. Despite moderate cognitive demands, the platform effectively balanced mental effort with engagement, providing an accessible and effective training experience. …”
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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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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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Common Features of Architectural Design of the Medical Purpose Building by I. V. Bulakh

“…Main designing stages, missions and complexities for every successive designing step have been revealed in the paper. …”
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A Beam Search Framework for Quantum Circuit Mapping by Cheng Qiu, Pengcheng Zhu, Lihua Wei

“…By iteratively selecting, expanding, and making decisions, high-quality target circuits are generated. …”
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A comprehensive review of performance, innovation, challenges and future directions of desulfurization technologies by Karim Maghfour Sarkarabad, Ahad Ghaemi

“…Using cutting-edge materials like metal-organic frameworks (MOFs) and activated carbons, adsorptive desulfurization (ADS) provides reduced operating complexity and cost for lighter fuels. Although extractive desulfurization (EDS) and biomass desulfurization (BDS) demonstrate the ability to remove sulfur selectively, they are constrained by slower reaction rates and chemical or biological limitations. …”
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U-Net-based VGG19 model for improved facial expression recognition by Xiaohu ZHAO, Jingyi ZHANG, Mingzhi JIAO, Lixun XIE, Lanfei WANG, Weiqing SUN, Di ZHANG

“…This adjustment ensures that important features are emphasized while redundant features are suppressed, streamlining the recognition process. This selective focus significantly speeds up the convergence of the network and improves the ability of the model to detect subtle changes in facial expressions, which is especially valuable in nuanced emotional contexts. …”
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A Hybrid Methodology of Data Science and Decision Making Techniques: Lessons from COVID-19 Pandemic Management by mehdi dadehbeigi, ali taherinezhad, alireza alinezhad

“…Data Envelopment Analysis (DEA) is a tool that aids managers in measuring the efficiency of the units under their supervision. Another challenge for managers involves selecting and ranking options based on specific criteria. …”
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Designing Supplementary Controller With Thyristor-Controlled Series Capacitor for Enhancing Inertia-Sharing Capability by Thongchart Kerdphol

“…Unlike conventional strategies that rely on deploying additional energy storage systems or distributed virtual inertia units, the proposed method utilizes existing transmission infrastructure, thereby reducing implementation complexity and cost. The efficacy of the proposed control strategy is assessed using a benchmark interconnected model configured to reflect practical multi-area dynamics and intertie constraints. …”
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Deep learning-based prediction of multi-level just noticeable distortion by Haifeng XU, Hongkui WANG, Haibing YIN, Chuqiao CHEN

“…Visual just noticeable distortion (JND) directly reflects the sensitivity of the human visual system to visual signal noise, and is widely used in image and video processing.Aiming at the multilevel prediction problem of video JND threshold, it was transformed into the prediction problem of satisfied user ratio (SUR) curve, and a feature fusion-based SUR curve prediction model was proposed.The model was mainly divided into key frame extraction module, feature extraction and fusion module, and SUR score regression module.In the key frame extraction module, according to the visual perception mechanism, the spatial-temporal domain perception complexity was proposed and used as the video key frame judgment index.In the feature extraction and fusion module, a multi-scale dense residual network was proposed based on dense residual block (RDB) to realize image feature extraction and multi-scale fusion.The experimental results show that the proposed SUR curve prediction model is overall better than the existing models in terms of JND prediction accuracy and reduces the time cost by 8.1% on average in terms of operational efficiency.Meanwhile, the model can also be used to predict other layers of JND thresholds, which can be directly applied to video multilevel perceptual coding optimization.…”
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Multi-Objective Optimization of Manufacturing Process Using Artificial Neural Networks by Katarína Marcineková, Andrea Janáková Sujová

“…This multi-objective optimizing solution facilitates enhanced process efficiency. By integrating Systems Theory, Complexity Theory, and adaptive management, this research advances sustainable process improvements by minimizing resource use, reducing waste, and enhancing overall system efficiency.…”
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On the Issue of Practical Orientation of Teaching Students of Technical Universities the Basics of Descriptive Geometry by L. G. Polyakov, T. D. Polyakova

“…One of the ways to improve the efficiency of learning disciplines is to link theory with practice. …”
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