Algorithms for Automatic Detection and Location of Infrasound Events in the PSDL System by Asming Vladimir Ernestovich, Fedorov Andrey Viktorovich

“…The paper presents a description of an automated system and the algorithms implemented in it for detection, association and location of low-frequency acoustic events based on infrasound array data. …”
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Differential Evolution Algorithm for Identification of Structural Damage in Steel Beams by Brunno Emidio Sobrinho, Gilberto Gomes, Welington Vital da Silva, Ramon Silva, Erwin U. L. Palechor, Luciano M. Bezerra

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Path selection algorithm with minimal delay in wireless sensor networks by Tianbo Lu, Yifei Su, Youwen Wang, Xiaoyan Zhang, Hao Meng

“…First, we make a summary of current typical path selection algorithms and analyze the performance and anonymity problems of these algorithms in network congestion. …”
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A Multi-Scale Feature Attention Image Recognition Algorithm by Xin MingYuan, Ang Ling Weay, Sellappan Palaniappan

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Recursive-Parallel Algorithm for Solving the Maximum Common Subgraph Problem by Vladimir V. Vasilchikov

“…The paper proposes an algorithm for solving the problem of finding the maximum common subgraph. …”
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Recursive-Parallel Algorithm for Solving the Graph-Subgraph Isomorphism Problem by Vladimir V. Vasilchikov

“…The paper proposes a parallel algorithm for solving the Graph-Subgraph Isomorphism Problem and makes an experimental study of its efficiency. …”
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Quantum Testing of Recommender Algorithms on GPU-Based Quantum Simulators by Chenxi Liu, W. Bernard Lee, Anthony G. Constantinides

“…Our results suggest that quantum algorithms may offer computational advantages for certain use cases, though classical heuristics also provide competitive performance for smaller datasets. …”
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Enhancing breast cancer diagnosis through machine learning algorithms by Javad Amraei, Aboulfazl Mirzapoor, Kiomars Motarjem, Mohammad Abdolahad

“…Machine Learning has become important for the improvement of early diagnosis and prognosis that may have the potential to reduce mortality rates. …”
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Digital Staining Algorithm for Multi-Domain Transformation of Unstained Images by Dong-Bum Kim, Jong-Ha Lee

“…These results suggest that the proposed approach may effectively address quality degradation issues caused by the limitations of FPM data.…”
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Regional Source-Type Discrimination Using Nonlinear Alignment Algorithms by Marlon D. Ramos, Rigobert Tibi, Christopher J. Young, Erica L. Emry

“…We highlight the potential of these nonlinear alignment algorithms for discrimination and comment on ways we can extend the framework presented here.…”
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IMAGE ENCRYPTION ALGORITHM USING TWO-DIMENSIONAL CHAOTIC MAPS by A. V. Sidorenko, I. V. Shakinko, Yu. V. Sidorenko

“…As demonstrated by the testing results, the proposed algorithm is highly operable and may be successfully used to solve the tasks of information security.…”
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Analyzing greedy vaccine allocation algorithms for metapopulation disease models. by Jeffrey Keithley, Akash Choudhuri, Bijaya Adhikari, Sriram V Pemmaraju

“…We provide a theoretical explanation for this effectiveness by showing that the approximation factor (a measure of how well the algorithmic output for a problem instance compares to its theoretical optimum) of these algorithms depends on the submodularity ratio of the objective function g. …”
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A congestion prediction method based on trajectory mining algorithm by Liu Dongjiang, Li Leixiao, Li Jie

“…Almost all these methods are based on traffic flow prediction algorithm. In these methods, historical traffic flow data is used while performing prediction. …”
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Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Adrianna Piszcz

“…Advanced deep learning algorithms play a key role in optimizing energy usage in smart cities, leveraging massive datasets to increase efficiency and sustainability. …”
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Grasshopper Algorithmic Modelling: Parametric Design for Product Platform Customisation by Amanda Martín-Mariscal, Juan Francisco Fernández-Rodríguez, Alberto Picardo, Estela Peralta

“…However, its adaptability is more limited when customisation involves interdependent parameters, such as those related to ergonomics or usability, due to the difficulty of translating these requirements into algorithmic structures. In addition, the initial definition of parameters and constraints may restrict modifications in later design phases. …”
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Tower Crane Layout Planning: Multi-Optimal Solutions Algorithm by Xiaokang Huang, Huazhou Chen, Rui Wang, Heng Wang, Shuai Li, Pengfei Zhang, Zhen Yang

“…Traditional optimization algorithms, which often provide a single optimal solution, may not always reveal the global optimum, leaving room for doubt. …”
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Engineering Quantum Error Correction Codes Using Evolutionary Algorithms by Mark A. Webster, Dan E. Browne

“…Because the error models of quantum devices vary widely, quantum codes that are tailored for a particular error model may have much better performance. In this work, we present a novel evolutionary algorithm that searches for an optimal stabilizer code for a given error model, number of physical qubits, and number of encoded qubits. …”
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Characterization and Comparison of the 10-2 SITA-Standard and Fast Algorithms by Yaniv Barkana, Erez Bakshi, Yakov Goldich, Yair Morad, Audrey Kaplan, Isaac Avni, David Zadok

“…Conclusions: The 10-2 SITA-fast algorithm is significantly shorter than SITA-standard. …”
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Improved RTAB-Map Algorithm Based on Visible Light Positioning by Po-Hao Hunag, Si-Chuan Liu, Cheng-Hsiung Yang

“…It is also crucial to recognize that sensors can have limitations, and their readings may not always be precise. This research presents an improved RTAB-Map algorithm based on visible light positioning. …”
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Image fusion algorithm for the collaborative use of unmanned aerial vehicles by N. V. Levshonkov, I. M. Nafikоv, Y. V. Laryukhina

“…A fusion algorithm is proposed, which is characterized by adaptive adjustment of parameters in each frame individually for different image fragments. …”
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