Showing 4,241 - 4,260 results of 12,962 for search 'while algorithm', query time: 0.11s Refine Results
  1. 4241

    SV-SAE: Layer-Wise Pruning for Autoencoder Based on Link Contributions by Joohong Rheey, Hyunggon Park

    Published 2025-01-01
    “…This paper introduces a layer-wise pruning algorithm specifically for multilayer perceptron-based autoencoders. …”
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  2. 4242

    Adaptive Anomaly Detection in Network Flows With Low-Rank Tensor Decompositions and Deep Unrolling by Lukas Schynol, Marius Pesavento

    Published 2025-01-01
    “…We apply deep unrolling to derive a novel deep network architecture based on our proposed algorithm, treating the regularization parameters as learnable weights. …”
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  3. 4243

    Cost-Efficient Distributed Learning via Combinatorial Multi-Armed Bandits by Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz

    Published 2025-05-01
    “…By assigning tasks to all workers and waiting only for the <i>k</i> fastest ones, the main node can trade off the algorithm’s error with its runtime by gradually increasing <i>k</i> as the algorithm evolves. …”
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  4. 4244

    User Cost Minimization and Load Balancing for Multiple Electric Vehicle Charging Stations Based on Deep Reinforcement Learning by Yongxiang Xia, Zhongyi Cheng, Jiaqi Zhang, Xi Chen

    Published 2025-03-01
    “…In the second stage, we use the DRL algorithm. In the DRL algorithm, we design a novel reward function that enables charging stations to meet user charging demands while minimizing user charging costs and reducing the load gap among distribution networks. …”
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  5. 4245

    Optimizing drone-based pollination method by using efficient target detection and path planning for complex durian orchards by Ruipeng Tang, Jianxun Tang, Mohamad Sofian Abu Talip, Narendra Kumar Aridas, Binghong Guan

    Published 2025-07-01
    “…Specifically, we enhance the YOLO-v8 algorithm using the GhostNet lightweight network to reduce computational complexity while boosting detection precision. …”
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  6. 4246

    Two-party cooperative blind signature based on SM2 by Xue BAI, Baodong QIN, Rui GUO, Dong ZHENG

    Published 2022-12-01
    “…SM2, issued by China in 2010, is a public key cryptography standard based on elliptic curves.It has been widely used in finance, social security and other fields thanks to its advantages of improved signature efficiency, decreased storage space and computing complexity than RSA.With the popularization and application of SM2, the issues of its key security and data privacy are of great concern.The single-key mode inhibits the potential application in multi-user settings, and the leakage of the key will threaten the security of the entire cryptosystem due to the centralization.The problem of secure storage and reasonable utilization of keys needs to be solved urgently.In addition, the SM2 digital signature algorithm cannot guarantee the message privacy.Aiming at the issues of key security and data privacy of the signature algorithm, many researchers have proposed the idea of cooperative signature and blind signature for SM2.However, there isn’t SM2 collaborative blind signature scheme proposed.Then a two-party cooperative blind signing protocol based on SM2 was proposed in this paper, which allowed two parties to sign except the user.The signing process did not require recovering the complete private key, while not revealing the information of the partial private key and secret number.The key was stored separately to improve the security of the key, while the blind signature protected the privacy of the message.In terms of security, the protocol satisfied unforgeability and unlinkability.The protocol was implemented using C to demonstrate the efficiency of each participant’s local operation.In the honest model, the time cost of each entity in the cooperative signature phase was similar as that of executing a lightweight SM2 blind signature.Overall, the proposed protocol has certain advantages in terms of function and efficiency.…”
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  7. 4247

    A detail-preserving method for medial mesh computation in triangular meshes by Bingchuan Li, Yuping Ye, Junfeng Yao, Yong Yang, Weixing Xie, Mengyuan Ge

    Published 2024-12-01
    “…Experiments on various types of 3D models demonstrate the robustness, shape fidelity, and efficiency in representation achieved by our algorithm.…”
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  8. 4248

    YOLO-APDM: Improved YOLOv8 for Road Target Detection in Infrared Images by Song Ling, Xianggong Hong, Yongchao Liu

    Published 2024-11-01
    “…A new algorithm called YOLO-APDM is proposed to address low quality and multi-scale target detection issues in infrared road scenes. …”
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  9. 4249

    STAKEHOLDER-INTEGRATED APPROACH TO ASSESSMENT OF LEVEL IN URBAN ENGINEERING AND INFRASTRUCTURE PROVISION by K. A. Mamonov, S. G. Nesterenko, E. S. Shterndok, M. A. Grek, A. V. Rudomakha

    Published 2018-04-01
    “…An algorithm for assessment of level in engineering and infrastructure support of urban area has been developed while using geographic information systems (GIS) in the framework of stakeholder-integrated approach. …”
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  10. 4250

    Hybrid precoding based on distributed partially-connected structure for multiuser massive MIMO by Lei ZHANG, Qin WANG

    Published 2022-01-01
    “…For multiuser massive multiple-input multiple-output (MIMO) systems, to solve the problem of underutilized spatial resources caused by centralized partially-connected structure (PCS) and fixed-matching phase-control algorithm in conventional schemes, a low complexity phased zero-forcing (PZF) hybrid precoding scheme based on distributed PCS was proposed.The logical antenna subarrays with more than the number of radio frequency (RF) chains were designed, so that each RF chain could be connected to multiple distributed subarrays to provide higher spatial diversity gain.Further, by analyzing the influence of phase-control analog precoding on zero-forcing digital precoding, a phase-control analog precoding algorithm via successively maximizing users’ total subarray gains was proposed to maximize the upper bound of system spectral efficiency.Analysis and simulation results show that, compared with the conventional schemes, the proposed scheme can significantly improve the system spectral efficiency while slightly increases the computational complexity, and it is also insensitive to imperfect channel state information.…”
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  11. 4251

    APPLICATION OF IMPROVED EXPERIENCE WAVELET TRANSFORM IN FAULT DIAGNOSIS OF WIND TURBINE GEARBOX by HU Xuan, LI Chun, YE KeHua

    Published 2022-01-01
    “…The results show that the CASNEWT method retains the advantages of the EWT algorithm, which can effectively avoid the modal aliasing effect and the end effect, while greatly improving the robustness of the EWT decomposition algorithm to noise, removes the noise and retains the original signal characteristic information. …”
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  12. 4252

    Two-Phase Flow Measuring with Ultrasonic Tomography by Omid QORBANI, Esmaeil Najafi AGHDAM

    Published 2020-07-01
    “…The obtained data from a 32-digit array of ultrasonic sensors have been used and the two-phase flow rate including liquid and gas phases have been calculated through a simple algebraic algorithm. Simulation results show that while applying this method the measurement technique is independent from the fluid flow pattern and the system error is decreased. …”
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  13. 4253

    Robust STAP with coprime sampling structure based on optimal singular value thresholding by Mingxin Liu, Mingfu Li, Hui Li, Yan Cheng

    Published 2025-01-01
    “…To address this issue, the STAP with the coprime sampling structure based on optimal singular value thresholding is proposed. The algorithm corrects errors by adding four calibrated auxiliary elements and auxiliary pulses to the original array and pulse sequence, while maintaining the coprime sampling structure. …”
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  14. 4254

    Metallic Artifacts’ Reduction in Microtomography Using the Bone- and Soft-Tissue Decomposition Method by Jan Juszczyk, Jakub Pałachniak, Ewa Piętka

    Published 2024-11-01
    “…Some can be reduced before or during the examination, while others are removed algorithmically after image acquisition. …”
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  15. 4255

    A Comparison of AutoML Hyperparameter Optimization Tools For Tabular Data by Prativa Pokhrel, Alina Lazar

    Published 2023-05-01
    “…Hyperparameters are the values or configurations that control the algorithm’s behavior while building the model. Hyperparameter optimization (HPO) is the guided process of finding the best combination of hyperparameters that delivers the best performance on the data and task at hand in a reasonable amount of time. …”
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  16. 4256

    Non-Singular Fast Sliding Mode Control of Robot Manipulators Based on Integrated Dynamic Compensation by Xinyi Wang, Xichang Liang, Shunjing Hu, Qianqian Xin

    Published 2025-04-01
    “…Finally, trajectory tracking experiments are conducted on an experimental platform and compared with the PID algorithm, demonstrating the superior control performance of the proposed algorithm.…”
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  17. 4257

    Symmetry-driven embedding of networks in hyperbolic space by Simon Lizotte, Jean-Gabriel Young, Antoine Allard

    Published 2025-05-01
    “…We show that the samples are consistent with current algorithms while providing added credible intervals for the coordinates and all network properties. …”
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  18. 4258

    Radio signal recognition based on image deep learning by Xin ZHOU, Xiaoxin HE, Changwen ZHENG

    Published 2019-07-01
    “…A technical idea was innovatively proposed that uses image deep learning to solve the problem of radio signal recognition.First,the radio signal was transformed into a two-dimensional picture,and the radio signal recognition problem was transformed into the object detection problem in the field of image recognition.Then,the advanced achievements about image recognition were used to improve the intelligence and ability of radio signal recognition in complex electromagnetic environment.Based on the proposed idea,a novel radio signal recognition algorithm named RadioImageDet was proposed.The experimental results show that the algorithm can effectively identify the waveform types and time/frequency coordinates of radio signals.After training and testing on the self-collected data set with 12 types and 4 740 samples,the accuracy reaches 86.04% and the mAP value reaches 77.72,while the detection time is only 33 ms on the medium configured desktop computer.…”
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  19. 4259

    Verification of color characteristics of document images captured in uncontrolled conditions by I.A. Kunina, O.A. Padas, O.A. Kolomyttseva

    Published 2024-08-01
    “…To detect such an attack, we propose an algorithm based on the comparison of chromaticity histograms of presented color images of the document and the ideal template of this type of document. …”
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  20. 4260

    Dual chamber pacemaker in the treatment of paroxysmal atrial fibrillation by Rađen Goran, Rafajlovski Saša I., Perišić Zoran, Romanović Radoslav

    Published 2005-01-01
    “…The decision was made to reimplant a permanent dual chamber pacemaker with the algorithm of atrial dynamic overdrive. The pacemaker was programmed to the basic rate of 75/min, while rate at rest was 55/min. …”
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