Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning by ZHANG Qin, ZHOU Jingyi, WANG Xingyue, HU Xiong

“…This composite reward function not only reflects the quality of current state‒action pairs but also incorporates predictions and evaluations of future states. …”
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Advanced Text Summarization Model Incorporating NLP Techniques and Feature-Based Scoring by Estabraq Abdulreda Kadhim, Mohammad-Reza Feizi-Derakhshi, Hadi S. Aghdasi

“…For example, various textual features such as Named Entity Counts, Noun Counts, and Sentence Position contribute to the summarization quality appropriately. This study’s summarization algorithm was tested using the CNN, XSum and BBC Summarization datasets, which aggregate documents from different areas. …”
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Capturing the extent of climate's dynamic effects on runoff and nutrient yields across short- and long-term scales by Di Chang, Shuo Li

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Recommending Tolerance Value for SpO2 Devices with Linear Regression Based on Measuring Tape by Cafer Budak, Özge Üstüner

“…Using a linear regression algorithm, SpO2 values from different bands were classified for quality. …”
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A 3D reconstruction platform for complex plants using OB-NeRF by Sixiao Wu, Changhao Hu, Boyuan Tian, Yuan Huang, Shuo Yang, Shanjun Li, Shengyong Xu

“…Finally, Object-Based NeRF we proposed is utilized for the fine-scale reconstruction of plants. The OB-NeRF algorithm introduced a new ray sampling strategy that improved the efficiency and quality of target plant reconstruction without segmenting the background of images. …”
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Permission clustering-based attribute value optimization by Wenchao WU, Zhiyu REN, Xuehui DU

“…In new large-scale computing environment, the attributes of entities were massive and they had complex sources and uneven quality, which were great obstacles to the application of ABAC (attribute-based access control).The attributes were also hard to be corrected manually, making it difficult to be applied in access control system straightly.To solve the optimization problem of nominal attributes, a novel algorithm of attribute value optimization based on permission clustering was designed, in which entities were presented by the privilege set related to them.So that the entities were tagged by density-based clustering method with distances of their privilege set presentations.Then the attribute values were reduced and corrected based on rough set theory.Finally, the algorithm was verified on UCI data sets, which proved that after applying it, ABAC policy mining was improved in the evaluation criteria, such as the true positive rate and F1-score.…”
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A Low-Cost Antipodal Vivaldi Antenna-Based Peanut Defect Rate Detection System by Yuanyuan Yin, Fangyan Ma, Xiaohong Liu, Shuhao Wang, Junjie Xia, Liqing Zhao

“…As a result, it offers an affordable and practical solution for quality control in peanut production, showing great potential for wide application in the peanut industry.…”
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A New Gradient Based Surface Defect Detection Method for the Ceramic Tile by Murat Alparslan Güngör

“…Performance of the proposed method was evaluated with quality metric and subjective evaluation. …”
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ICA-based Single Channel Audio Separation: New Bases and Measures of Distance by Dariusz MIKA, Piotr KLECZKOWSKI

“…It was tested on mixes of two and three sounds. The perceptual quality of separation obtained with the measures of distance proposed was evaluated by listening tests, indicating “beta” and “correlation” measures as the most appropriate. …”
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Principal component analysis of time delay in large IP network by Xuan WEI, Xiaoying HUANG

“…Network time delay is one of the key indexes to evaluate network performance.Principal component analysis (PCA) is a kind of multivariable analysis and declination algorithm commonly used in the field of data mining.Based on PCA analysis of time delay in large IP networks, aiming to find out the deep reason of time delay and the interdependencies among nodes of the network, a scientific and reasonable network time delay evaluation system was built, and effective suggestions for IP network construction and optimization were finally got.The off-line analysis of the historical network delay is only a preliminary application of the PCA.In the future, PCA can be applied to the real-time on-line monitoring and analysis of the network performance, such as network traffic, network delay, network packet loss, etc., in combination with the network topology, current network traffic direction, routing, distance and other related factors, thus the efficiency and quality of network operations can be further improved.…”
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ON ESTIMATED ACCURACY OF PART CUTTING UNDER MACHINE INTELLIGENT CONTROL by Alexey Fedorovich Lysenko, Andrey Igorevich Izyumov, Oleg Valentinovich Goncharov

“…The novelty of the approach is in analyzing the effect of the combined characteristics that is more informative versus the effect estimate of each of them. An algorithm for the function calculation program of distributing the cutterpath coordinates used to evaluate entering the acceptable range is presented. …”
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A New Efficient Approach to Model Stiff Biogeochemical Reactive Transport Scenarios Across Groundwater Systems by Xiaochuang Bu, Heng Dai, Songhu Yuan, Ming Ye, Zhenxue Dai, Mohamad Reza Soltanian, Zhang Wen, Alberto Guadagnini

“…Overall, our approach offers a robust and efficient solution for modeling stiff biogeochemical processes in groundwater systems. Its successful application to diverse reaction networks highlights its potential for broad implementation in environmental and engineering contexts, paving the way for accurate and computationally feasible groundwater quality assessments.…”
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Mapping the Research Landscape of Agricultural Sciences by Dmitry Devyatkin, Elena Nechaeva, Roman Suvorov, Ilya Tikhomirov

“… A research landscape is a high-level description of the current state of a certain scientific field and its dynamics. High-quality research landscapes are important tools that allow for more effective research management. …”
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Computational approaches for structural analysis of wood specimens by Chakkour Tarik

“…Usually, its purpose is to evaluate orientation and to conduct local structural analysis. …”
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Building Consumption Data Systems Driven by AI Plus Expert for Scientific and Technical Literature Information Resources by Guanghui YE, Kai TU, Lina HU, Li HAN, Zhiming FENG

“…Furthermore, the paper deconstructs and analyzes the risks associated with the involvement of AI in the construction of consumer-end data systems, including four types of risks: machine algorithm risks, annotation content risks, annotation data risks and application risks. …”
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A metaheuristic to support the distribution of COVID-19 vaccines by Augusto José da Silva Rodrigues, Gabriel Lopes Lima

“…Effective analysis was obtained in the evaluation of the proposed algorithm, both in terms of computational effort and the quality of the final solution. …”
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Precise Foot Feature Point Localization and Automatic Parameters Measurement by JI Mian, LIN Yanping, WANG Dongmei, CHEN Li, MA Xin

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Persistent Homology Combined with Machine Learning for Social Network Activity Analysis by Zhijian Zhang, Yuqing Sun, Yayun Liu, Lin Jiang, Zhengmi Li

“…Numerical experiments are conducted to evaluate the performance of clustering quality metrics such as profile coefficients. …”
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Classroom Expression Recognition Based on Deep Learning by Yang Gao, Linyan Zhou, Jialiang He

“…In the field of education, classroom expression recognition technology has important application value. It can help teachers understand students’ emotions and learning attitudes and adjust teaching strategies in time to improve learning outcomes. …”
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Quadratic interpolation optimization-based 2DoF-PID controller design for highly nonlinear continuous stirred-tank heater process by Serdar Ekinci, Davut Izci, Veysel Gider, Mohit Bajaj, Vojtech Blazek, Lukas Prokop

“…This work introduces a pioneering application of the QIO algorithm in industrial temperature control, offering a scalable and cost-efficient solution for complex nonlinear systems.…”
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