Algorithm for Determining the Sum Formula of Metabolites from Mass Spectrometry Spectra by Borowski Marcin, Baumgard Karolina

“…This work addresses the challenge of determining chemical sum formulas from mass spectrometry data through a three-fold approach: establishing a formal problem framework, analyzing its computational complexity, and developing an approximate algorithm that synergizes reference database integration with functional group property analysis to enable accurate compound identification and structural characterization. …”
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English Pronunciation Evaluation and Correction Algorithm Technology Based on Artificial Intelligence by Sian Chen, Linqiang Tang

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Revocation encryption scheme based on domestic cryptographic algorithm SM9 by XIE Zhenjie, ZHANG Wanli, ZHANG Yao, ZHAO Fangfang, LIU Shengli

“…To address the limitations of lengthy system public keys and inefficient decryption in existing identity-based revocation encryption schemes, an optimized revocation encryption scheme was proposed based on SM9, China’s independently developed identity-based cryptographic algorithm. During encryption, a revoked user list was specified, ensuring that only non-revoked users could decrypt correctly. …”
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Research on the Improved ICP Algorithm for LiDAR Point Cloud Registration by Honglei Yuan, Guangyun Li, Li Wang, Xiangfei Li

“…Over three decades of research has been undertaken on point cloud registration algorithms, resulting in mature theoretical frameworks and methodologies. …”
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Predicting algorithm of attC site based on combination optimization strategy by Zhendong Liu, Xi Chen, Dongyan Li, Xinrong Lv, Mengying Qin, Ke Bai, Zhiqiang He, Yurong Yang, Xiaofeng Li, Qionghai Dai

“…This can not only provide ideas for the research of efficient recombination systems but also provide a theoretical basis for developing genetic engineering further.…”
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Endpoint Distribution Modeling-Based Capture Algorithm for Interfering Multi-Target by Xiangliang Zhang, Junlin Li, Pengjie Li, Fang Si, Xiangzhi Liu, Yu Gu, Shuguang Meng, Jibin Yin, Tao Liu

“…Based on these models, we have developed a basic region partitioning algorithm (BRPA) and an enhanced region partitioning algorithm (ERPA). …”
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METHODOLOGY OF STUDY OF GRAIN SUB-COMPLEX DURING GLOBALIZATION by O. V. Sidorenko

“…The functional-branch structure, the diagram and the algorithm of research of grain sub-complex have been developed. …”
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THE ROLE OF ORGANIZATIONAL AND ECONOMIC MECHANISM OF STRATEGIC COMPANY MANAGEMENT IN THE NATIONAL ECONOMY by О. Parfentieva, А. Grechan, A. Bezuglyi, К. Kompanets, О. Salimon

“…The study involved scientific developments that consider the theoretical and practical aspects of development, analysis and implementation of dynamic models of company management. …”
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Physics-Informed Neural Networks: A Review of Methodological Evolution, Theoretical Foundations, and Interdisciplinary Frontiers Toward Next-Generation Scientific Computing by Zhiyuan Ren, Shijie Zhou, Dong Liu, Qihe Liu

“…This review establishes a three-dimensional analytical framework to systematically decode PINNs’ development through methodological innovation, theoretical breakthroughs, and cross-disciplinary convergence. …”
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Pairwise Heuristic Sequence Alignment Algorithm Based on Deep Reinforcement Learning by Yong-Joon Song, Dong Jin Ji, Hyein Seo, Gyu-Bum Han, Dong-Ho Cho

“…<italic>Goal:</italic> Various methods have been developed to analyze the association between organisms and their genomic sequences. …”
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Convex Optimization of Markov Decision Processes Based on Z Transform: A Theoretical Framework for Two-Space Decomposition and Linear Programming Reconstruction by Shiqing Qiu, Haoyu Wang, Yuxin Zhang, Zong Ke, Zichao Li

“…This study establishes a novel mathematical framework for stochastic maintenance optimization in production systems by integrating Markov decision processes (MDPs) with convex programming theory. We develop a Z-transformation-based dual-space decomposition method to reconstruct MDPs into a solvable linear programming form, resolving the inherent instability of traditional models caused by uncertain initial conditions and non-stationary state transitions. …”
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Cutting-Edge Stochastic Approach: Efficient Monte Carlo Algorithms with Applications to Sensitivity Analysis by Ivan Dimov, Rayna Georgieva

“…In recent years, researchers have developed advanced algorithms based on the analysis of variance (ANOVA) technique for computing numerical sensitivity indicators. …”
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Study of line spectra emitted by hydrogen isotopes in tokamaks through Deep-Learning algorithms by N. Saura, M. Koubiti, S. Benkadda

“…In a previous work, we have used a fully connected neural network algorithm for theoretical Hα/Dα line spectra emitted by HD plasmas which have been generated for conditions relevant to divertor plasmas in tokamaks (magnetic field, neutral temperatures and fractions and hydrogen concentration). …”
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Algorithms for Load Balancing in Next-Generation Mobile Networks: A Systematic Literature Review by Juan Ochoa-Aldeán, Carlos Silva-Cárdenas, Renato Torres, Jorge Ivan Gonzalez, Sergio Fortes

“…The need for enhanced radio resource allocation schemes, improved user mobility and increased throughput, driven by a rising demand for data, has necessitated the development of diverse algorithms that optimize output values based on varied input parameters. …”
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Comparing Geodesic Filtering to State-of-the-Art Algorithms: A Comprehensive Study and CUDA Implementation by Pierre Boulanger, Sadid Bin Hasan

“…Our quantitative analysis using peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) metrics across diverse image types reveals that our approach outperforms traditional techniques in preserving fine details while effectively suppressing both Gaussian and non-Gaussian noise. We developed an automatic parameter optimization methodology that eliminates manual tuning by identifying optimal filtering parameters based on image characteristics. …”
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The Impact of Different Parallel Strategies on the Performance of Kriging-Based Efficient Global Optimization Algorithms by Hang Fu, Qingyu Wang, Takuji Nakashima, Rahul Bale, Makoto Tsubokura

“…A parallel efficient global optimization (EGO) algorithm with a pseudo expected improvement (PEI) multi-point sampling criterion, proposed in recent years, is developed to adapt the capabilities of modern parallel computing power. …”
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Integrating novel stellarator single-stage optimization algorithms to design the Columbia stellarator experiment by A. Baillod, E.J. Paul, G. Rawlinson, M. Haque, S.W. Freiberger, S. Thapa

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Using multiple machine learning algorithms to optimize the water quality index model and their applicability by Fei Ding, Shilong Hao, Wenjie Zhang, Mingcen Jiang, Liangyao Chen, Haobin Yuan, Nan Wang, Wenpan Li, Xin Xie

“…Based on the six combined weights and three aggregation functions, eighteen WQI models were developed. To reduce the influence of spatiotemporal heterogeneity, the assessment models for the different water quality characteristics were proposed respectively. …”
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Edge connectivity of a neutrosophic graph by Aparna Tripathy, Amaresh Chandra Panada, Siva Prasad Behera, Bhabani S. Mohanty

“…We analyze the performance of these algorithms through both theoretical complexity assessments and empirical evaluations on benchmark datasets. …”
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Digital Art Design Effectiveness Model System Based on K-Medoids Algorithm by Xin Luo

“…Therefore, in order to explore the success of digital art design and the cultivation of digital art talents, and to better serve the innovation of digital art, this paper proposes a digital art effectiveness model based on the K-medoids algorithm. This model can provide a deeper and more comprehensive understanding of digital art and abstract graphics and provide theoretical support for professional design creation.…”
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