Predicting the Energetic Proton Flux with a Machine Learning Regression Algorithm by Mirko Stumpo, Monica Laurenza, Simone Benella, Maria Federica Marcucci

“…We present a simple and efficient machine learning regression algorithm that is able to forecast the energetic proton flux up to 1 hr ahead by exploiting features derived from the electron flux only. …”
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Development and application of piano accompanying system based on New Fingerprint algorithm by Cheng Lv

“…To sum up, the proposed NF algorithm has excellent performance. The piano accompaniment system based on NF algorithm is suitable for actual piano learning.…”
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Feasibility study of genetic algorithms application for implementation of block cryptosystem cryptanalysis by Yury O. Chernyshev, Alexander S. Sergeyev, Nikolay N. Ventsov, Alexander N. Ryazanov

“…It is noted also that as the distinctive feature of both block cipher methods, and the genetic algorithms is their internal parallelism, then the task of developing a cryptanalysis algorithm based on the parallel implementation of the constituent stages is relevant. …”
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Analysis and Prediction of CET4 Scores Based on Data Mining Algorithm by Hongyan Wang

“…The K-weighted K nearest neighbor algorithm and the partition algorithm are used in the CET-4 test score classification prediction, and the statistical method is used to study the relevant factors that affect the CET-4 test score, and screen classification is performed to predict when the comparison verification will pass. …”
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A sensor node scheduling algorithm for heterogeneous wireless sensor networks by Zhangquan Wang, Yourong Chen, Banteng Liu, Haibo Yang, Ziyi Su, Yunkai Zhu

“…In sensor node scheduling algorithm, heterogeneous perception radius of sensor node is considered. …”
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Artificial Intelligence and Algorithmic Approaches of Health Security Systems: A Review by Savina Mariettou, Constantinos Koutsojannis, Vassilios Triantafillou

“…The timeline of our review is based on published studies covering the period from 2018 to 2024, with entries identified through a search of the relevant literature, focusing on the most recent developments due to advances in artificial intelligence and algorithmic approaches. …”
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Variational quantum algorithm for enhanced continuous variable optical phase sensing by Jens A. H. Nielsen, Mateusz J. Kicinski, Tummas N. Arge, Kannan Vijayadharan, Jonathan Foldager, Johannes Borregaard, Johannes Jakob Meyer, Jonas S. Neergaard-Nielsen, Tobias Gehring, Ulrik L. Andersen

“…Testing these algorithms on relevant hardware is crucial to investigate the effect of noise and imperfections and to assess their practical value. …”
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Adaptive GDDA-BLAST: fast and efficient algorithm for protein sequence embedding. by Yoojin Hong, Jaewoo Kang, Dongwon Lee, Damian B van Rossum

“…Herein, we describe the logic and algorithmic process for a heuristic embedding strategy named "Adaptive GDDA-BLAST." …”
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Systematic Review of Phase Aberration Correction Algorithms for Transcranial Focused Ultrasound by Mingyu Wang, Zhouyang Xu, Bingbing Cheng

“…We first searched the PubMed and Web of Science databases for studies on phase aberration correction algorithms, identifying 54 articles for review. Relevant information, including the principles of algorithms and refocusing performances, were then extracted from the selected articles. …”
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The impact of algorithm awareness training on competent interaction with intelligent voice assistants by André Markus, Maximilian Baumann, Jan Pfister, Andreas Hotho, Astrid Carolus, Carolin Wienrich

“…This work develops three online training modules to promote algorithm awareness, providing (1) basic knowledge of algorithms, (2) risks posed by algorithms in IVAs, and (3) scientific evidence on algorithm aversion. …”
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Interference Suppression for VLC System Based on Optimized Channel Detection Algorithm by Liwei Yang, Ziyang Jin, Jiangtao Zhao, Yue Zhang, Xinyu Li, Boyu Jia

“…The paper introduces the Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) technique within an indoor VLC system and presents an optimized channel detection method. The optimized algorithm, based on the Tomlinson-Harashima Precoding (THP) method, utilizes multi-user channel information to decompose the relevant channel matrix. …”
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Genetic Algorithm for Optimal Control Design to Gust Response for Elastic Aircraft by Mauro Iavarone, Umberto Papa, Alberto Chiesa, Luca de Pasquale, Angelo Lerro

“…The flexible dynamics is compared to the rigid one in order to highlight the relevant changes in the aircraft modes. Following is herein proposed a control strategy combining genetic algorithms and Linear Quadratic Regulator controller to reduce the load factor, also considering the oscillation amplitude due to a deterministic gust encountered in a predefined flight condition.…”
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Prediction of dialysis adequacy using data-driven machine learning algorithms by Yi-Chen Liu, Ji-Ping Qing, Rong Li, Juan Chang, Li-Xia Xu

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An Integrated Algorithm with Feature Selection, Data Augmentation, and XGBoost for Ovarian Cancer by Jingxun Cai, Zne-Jung Lee, Zhihxian Lin, Chih-Hung Hsu, Yun Lin

“…These research findings strongly demonstrate that the diagnostic method proposed in this paper has a significant advantage in the predictive diagnosis of ovarian cancer, with an accuracy of 99.01% that surpasses the current technologies in use. Additionally, the algorithm identifies twelve genes highly relevant to ovarian cancer, providing valuable insights for physicians during diagnosis.…”
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First trimester circulating miR-208b-3p and miR-26a-1-3p are relevant to the prediction of gestational hypertension by Andrée-Anne Clément, Cécilia LÉGARÉ, Véronique Desgagné, Kathrine Thibeault, Frédérique White, Michelle S. Scott, Pierre-Étienne Jacques, William D Fraser, Patrice Perron, Renée Guérin, Marie-France Hivert, Anne-Marie Côté, Luigi Bouchard

“…We thus aimed to identify first trimester circulating miRNAs associated with GH and to build a miRNA-based algorithm to predict GH incidence. Methods We quantified miRNAs using next-generation sequencing in plasma samples collected at first trimester of pregnancy in Gen3G (N = 413, including 28 GH cases) and 3D (N = 281, including 21 GH cases) prospective birth cohorts. …”
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Image target importance recognition method based on visual model and correlation algorithm by Z. Ren, L. Huo, T. Shen, F. Kong

“…Building upon this framework, we introduce an algorithm combining the visual Relevance Assessment Model (Recognize Anything Model:RAM) with personalized PageRank to calculate semantic relevance between urban scenes and their constituent objects. …”
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Deep learning based personalized English listening learning path recommendation algorithm by Hua Jiang

“…A information on users' vocabulary complexity, pronunciation, proficiency level,speed reading, topic relevance, objective in learning, data performance and preferences, To evaluate the DL -based personalized learning path recommendation algorithm for English listening instruction can make customized learning path recommendations. …”
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Algorithm for monitoring the dynamic zone of forest fires by a group of unmanned aircraft by F. B. Tebueva, V. O. Antonov, M. Yu. Kabinyakov, N. Yu. Svistunov

“…The aim of the study is to develop an algorithm for monitoring forest fire zones, carried out by unmanned aerial vehicles (UAVs).Method. …”
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Evaluating the Nuclear Reaction Optimization (NRO) Algorithm for Gene Selection in Cancer Classification by Shahad Alkamli, Hala Alshamlan

“…In select datasets, it outperformed several state-of-the-art optimization algorithms. However, due to the absence of additional dimensionality reduction techniques, the number of selected genes remains relatively high. …”
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Differential diagnosis algorithm of endogenous catatonia, catatonia-morphic and catatonia-mimicking states by D. N. Safonov

“…The aim is to develop pathomorphosis adapted clinical algorithm of endogenous catatonia differential diagnostics. …”
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