Submarine Cable Vibration Signal Recognition Based on Sparrow Search Algorithm Optimized Support Vector Machine by GUO Jiaxing, QIAN Junxia, LIU Rui, MA Hongjuan

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A novel passive shimming optimization method of MRI magnet based on a PSA-SQP hybrid algorithm by Jie Zhao, Minhua Zhu, Ling Xia, Yifeng Fan, Feng Liu

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Application of smart technologies for predicting soil erosion patterns by Rana Muhammad Adnan Ikram, Mo Wang, Hossein Moayedi, Atefeh Ahmadi Dehrashid, Shiva Gharibi, Jing-Cheng Han

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b-move: faster lossless approximate pattern matching in a run-length compressed index by Lore Depuydt, Luca Renders, Simon Van de Vyver, Lennart Veys, Travis Gagie, Jan Fostier

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Learning-Driven Algorithm With Dual Evolution Patterns for Solving Large-Scale Multiobjective Optimization Problems by Mingshuo Song, Wei Song, Khin Wee Lai

“…Recently, a series of evolutionary algorithms have been proposed to enhance the search efficiency when handling large-scale multiobjective optimization problems (LSMOPs). …”
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Efficient Utility Tree-Based Algorithm to Mine High Utility Patterns Having Strong Correlation by Rashad Saeed, Azhar Rauf, Fahmi H. Quradaa, Syed Muhammad Asim

“…This paper presents an algorithm, named Efficient Correlated High Utility Pattern Mining (ECoHUPM), to efficiently mine the high utility patterns having strong correlation items. …”
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A multistrategy improved hunger games search algorithm by Qiu Yihui, Zhang Xinqiang, Li Ruoyu, Li Dongyi, Xia Feihan

“…The main contributions of MHGS are fourfold: (1) a phased position update framework that dynamically coordinates global exploration and local exploitation through three distinct search phases; (2) an enhanced reproduction operator inspired by biological reproductive patterns to preserve population diversity; (3) an adaptive boundary handling mechanism that redirects out-of-bounds individuals to promising regions, thus improving search efficiency; and (4) an elite dynamic oppositional learning strategy with self-adjusting coefficients to enhance the algorithm’s ability to avoid local optima. …”
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Iterative Shaping of Error Patterns For Normal Syndrome Decoding of Iterative Codes by X. H. Ren, V. K. Kanapelka, V. Yu. Tsviatkou

“…The norm calculated based on the syndrome unambiguously determines the base pattern and the corresponding subset of error patterns, which reduces the search space for the syndrome to a subset. …”
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Using Cuckoo Search Algorithm to Predict Corporate Financial Risks and Alleviate Economic Uncertainty by Muqiao Cai

“…This framework combines a Backpropagation Neural Network (BPNN) with the Cuckoo Search Algorithm (CSA) to build an adaptive learning system. …”
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mineMS2: annotation of spectral libraries with exact fragmentation patterns by Alexis Delabrière, Coline Gianfrotta, Sylvain Dechaumet, Annelaure Damont, Thaïs Hautbergue, Pierrick Roger, Emilien L. Jamin, Olivier Puel, Christophe Junot, François Fenaille, Etienne A. Thévenot

“…We propose an innovative de novo strategy for searching for exact fragmentation patterns within collections of MS/MS spectra. …”
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Review and Mapping of Search-Based Approaches for Program Synthesis by Takfarinas Saber, Ning Tao

“…We have also mapped and shed light on patterns connecting the problem, the representation and the search algorithm type. …”
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Accelerated preprocessing in task of searching substrings in a string by A. V. Mazurenko, N. V. Boldyrikhin

“…Algorithms of searching substring in a string are used in signature-based discovery tasks.Materials and Methods. …”
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A Novel Search Algorithm and Scan Time Estimation in Airborne Ground Penetrating Radar Using Cell Footprint Meshing by Morteza Kazerooni, Ehsan Shahroosvand

“…By categorizing the target area into surface, subsurface, and return cells based on signal reception characteristics, the algorithm aligns search patterns (row-wise or column-wise) with the derived cell configurations and dimensions. …”
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Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms by S. Jayanthi, Swathi Sowmya Bavirthi, P. Murali, K. Vijaya Kumar, Hend Khalid Alkahtani, Mohamad Khairi Ishak, Samih M. Mostafa

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Identifying Strong Connectivity in Urban Road Networks Considering Traffic Constraints: An Analysis of Road Networks With Different Patterns by Ruru Xing, ZePeng Yang, Xinghua Zhang, Yiwen Liang, Tao Yang, Fei Wang

“…Secondly, combining the Floyd-Warshall algorithm and the depth-first search algorithm, we constructed a strong connectivity effective path search algorithm to adapt to the refined traffic management situation, and identified the key road sections that have the greatest impact on the connectivity of the road network by considering the maximum acceptable level of the path and the road access constraints. …”
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Unsupervised Binary Classifier-Based Object Detection Algorithm with Integrated Background Subtraction Suitable for Use with Aerial Imagery by Gabija Veličkaitė, Ignas Daugėla, Ivan Suzdalev

“…Unlike conventional supervised models, SARGAS is trained in a partially unsupervised manner, learning to recognize feature patterns without requiring labeled data. The algorithm achieved a recall of 93%, demonstrating strong detection capability even under challenging conditions. …”
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BASSET: Bandpass-adaptive Single-pulse Search Toolkit—Optimized Subband Pulse Search Strategies for Faint Narrowband Fast Radio Bursts by J. H Cao, P. Wang, D. Li, Q. H. Pan, K. Mao, C. H. Niu, Y. K. Zhang, Q. Y. Qu, W. J. Lu, J. S. Zhang, Y. H. Zhu, Y. D. Wang, H. X. Chen, X. L. Chen, J. H. Fang, Y. Feng, H. Gao, Y. F. Huang, J. Li, C. C. Miao, C. W. Tsai, J. M. Yao, S. P. You, R. S. Zhao, Q. Z. Liu, S. M. Weng, S. H. Yew, J. Zhang, L. Zhang, E. Gügercinoğlu, D. K. Zhou, W. W. Zhu

“…The existing single-pulse search algorithms for fast radio bursts (FRBs) do not adequately consider the frequency bandpass pattern of the pulse, rendering them incomplete for the relatively narrow-spectrum detection of pulses. …”
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Fire Hazard Risk Grading of Timber Architectural Complexes Based on Fire Spreading Characteristics by Chong Wang, Zhigang Song, Jian Zhang, Lijiao Liu, Feiyang Zheng, Siqi Cao

“…First, localized fire spread paths and propagation times between nodes (buildings) are determined through fire spread simulations, constructing an adjacency matrix for the directed graph of the building cluster. Path search algorithms then identify the spread range and velocity under specific fire scenarios. …”
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Community Clustering and Recommendation Toward Elderly Health Records: Probabilistic Representation Learning and Large Graph Search by Huijiong Ding

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Functional Neurological Symptom Disorder: A Diagnostic Algorithm by Eugénie Girouard, Isabelle Savoie, Ludivine Chamard Witkowski

“…In the light of these findings, we recommend the clinicians to perform two PoSPs, searching for clinicoradiological lack of correspondence and time stability using our algorithm.…”
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