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  1. 241

    Adaptive Periodic Speed Fluctuation Suppression for Permanent Magnet Compressor Drives by Chenchen Zhang, Yang Yang, Yimin Gong, Yibo Guo, Hongda Song, Jiannan Zhang

    Published 2025-03-01
    “…Moreover, the RGN also has strong robustness regarding system phase shift. The compensation current of APSFSM can adaptively adjust its amplitude and phase based on real-time speed errors, maintaining the significant suppression of speed fluctuations under different operating conditions. …”
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  2. 242
  3. 243

    Low complexity acquisition algorithm for GPS signals with low SNR and high dynamic by Zhu-lin XIONG, Ce-lun LIU, Jian-ping AN, Ze-bin XIE

    Published 2015-03-01
    “…A frequency-domain segmental shift average periodogram acquisition algorithm for GPS signals with low SNR and high dynamic was proposed. …”
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  4. 244

    Large-scale S-box design and analysis of SPS structure by Lan ZHANG, Liangsheng HE, Bin YU

    Published 2023-02-01
    “…A class of optimal linear transformation P over a finite field<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <msup> <mrow> <mrow><mo>(</mo> <mrow> <msubsup> <mi>F</mi> <mn>2</mn> <mi>m</mi> </msubsup> </mrow> <mo>)</mo></mrow></mrow> <mn>4</mn> </msup> </mrow></math></inline-formula> was constructed based on cyclic shift and XOR operation.Using the idea of inverse proof of input-output relation of linear transformation for reference, a proof method was put forward that transformed the objective problem of optimal linear transformation into several theorems of progressive relation, which not only solved the proof of that kind of optimal linear transformation, but also was suitable for the proof of any linear transformation.By means of small-scale S-box and optimal cyclic shift-XOR linear transformation P, a large-scale S-box model with 2-round SPS structure was established, and a series of lightweight large-scale S-boxes with good cryptographic properties were designed.Only three kind of basic operations such as look-up table, cyclic shift and XOR were used in the proposed design scheme, which improved the linearity and difference uniformity of large-scale S-boxes.Theoretical proof and case analysis show that, compared with the existing large-scale S-box construction methods, the proposed large-scale S-box design scheme has lower computational cost and better cryptographic properties such as difference and linearity, which is suitable for the design of nonlinear permutation coding of lightweight cryptographic algorithms.…”
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  5. 245

    Evaluation of Cluster Algorithms for Radar-Based Object Recognition in Autonomous and Assisted Driving by Daniel Carvalho de Ramos, Lucas Reksua Ferreira, Max Mauro Dias Santos, Evandro Leonardo Silva Teixeira, Leopoldo Rideki Yoshioka, João Francisco Justo, Asad Waqar Malik

    Published 2024-11-01
    “…Our analysis covered a variety of current methods, the mathematical process of these methods, and presented a comparison table between these algorithms, including Hierarchical Clustering, Affinity Propagation Balanced Iterative Reducing and Clustering using Hierarchies (BIRCH), Density-Based Spatial Clustering of Applications with Noise (DBSCAN), Mini-Batch K-Means, K-Means Mean Shift, OPTICS, Spectral Clustering, and Gaussian Mixture. …”
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  6. 246

    Key Technology of the Medical Image Wise Mining Method Based on the Meanshift Algorithm by Jinli Cui, Yadong Wang, Ke Wang

    Published 2022-01-01
    “…Mean-shift originally refers to the mean vector of the offset. …”
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  7. 247

    Fault diagnosis algorithm based on multi-channel neighbor feature convolutional network by Huang Xiao, Hanqing Jian

    Published 2025-04-01
    “…However, the negative impact of covariate shifts among data channels on diagnostic accuracy is an issue that is often overlooked in data-driven algorithms based on multi-channel data. …”
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  8. 248
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    Solution of a flexible jobshop scheduling problem using an Estimation of Distribution Algorithm. by R. Pérez, S. Jöns, A. Hernández

    Published 2015-01-01
    “…To set off-duty hours for operators before starting their activities in each shift as an input parameter and its development through the AEDS algorithm is a novelty of this research on the current research work. …”
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  10. 250

    An improved pelican optimization algorithm for function optimization and constrained engineering design problems by Haval Tariq Sadeeq, Araz Abrahim, Thamer Hameed, Najdavan Kako, Reber Mohammed, Dindar Ahmed

    Published 2025-01-01
    “…Furthermore, a novel exponential parameter has been introduced to enhance the algorithm's overall performance by facilitating a smoother shift between exploration and exploitation phases. …”
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  11. 251
  12. 252

    Unsustainable artificial intelligence and algorithmically facilitated emissions: The case for emissions-reduction-by-design by Jutta Haider, Malte Rödl, James White

    Published 2025-09-01
    “…It introduces the notion of algorithmically facilitated emissions to initiate a shift from a logic of ‘climate collapse by design’ to a logic of ‘emissions reduction by design’. …”
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  13. 253

    Dual-Population Cooperative Correlation Evolutionary Algorithm for Constrained Multi-Objective Optimization by Junming Chen, Yanxiu Wang, Zichun Shao, Hui Zeng, Siyuan Zhao

    Published 2025-04-01
    “…To further enhance the performance of the algorithm, a shift-based density estimation (SDE) method is introduced to maintain the diversity of solutions in the driving population, while a multi-criteria evaluation metric is adopted to improve the feasibility quality of solutions in the normal population. …”
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  14. 254

    Improved Multiverse Optimization Algorithm for Fuzzy Flexible Job-Shop Scheduling Problem by Jin-Cheng Fang, A-Feng Zeng, Shao-Feng Zheng, Wen-Di Zhao, Xu He

    Published 2023-01-01
    “…An improved multiverse optimization (IMVO) algorithm is proposed herein for the fuzzy flexible job-shop scheduling problem pertaining to the non-deterministic polynomial-time hard (NP-hard) problem. …”
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  15. 255

    Posterior Probability-Based Symbol Detection Algorithm for CPM in Underwater Acoustic Channels by Ruigang Han, Ning Jia, Yufei Liu, Jianchun Huang, Suna Qu, Shengming Guo

    Published 2025-04-01
    “…This paper proposes a symbol detection algorithm based on posterior probabilities combined with FDE (PS-FDE). …”
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  16. 256

    A novel modification and hardware implementation of the simplified AES algorithm for IoT applications by V S S Pavan Nishith, Adriza Saha, Ashish Patwari

    Published 2025-09-01
    “…The proposed modifications include: (i) replacing multiplexers with Boolean logic for the S-box, (ii) increasing the number of encryption rounds from two to six, and (iii) integrating an interleaved Caesar cipher and shift-and-pad module in each round. These changes significantly reduce the algorithm's complexity without compromising security. …”
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  17. 257

    Natural Language Processing For Requirement Elicitation In University Using Kmeans And Meanshift Algorithm by Devi Yurisca Bernanda, Dayang N.A. Jawawi, Shahliza Abd Halim, Fransiskus Adikara

    Published 2024-02-01
    “…  Data Driven Requirement Engineering (DDRE) represents a vision for a shift from the static traditional methods of doing requirements engineering to dynamic data-driven user-centered methods. …”
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  18. 258

    The new gamma interferon (IFN-γ) algorithm for tuberculosis diagnosis in cynomolgus macaques. by Saradee Warit, Suthirote Meesawat, Pattsarun Cheawchanlertfa, Nampueng Makhao, Prapaporn Srilohasin, Machamon Kaewparuehaschai, Kirana Noradechanon, Areeya Pomcoke, Taratorn Kemthong, Therdsak Prammananan, Reka Kanitpun, Tanapat Palaga, Suchinda Malaivijitnond, Angkana Chaiprasert

    Published 2024-01-01
    “…Following a 29-month follow-up of 100 selected animals, we established a new mIGRA interpretation algorithm that demonstrated a significant shift in the negative and indeterminate cases regardless of whether the QFT-PHA or ConA+PWM was used as a mitogen. …”
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