Showing 921 - 940 results of 1,446 for search 'average optimization problem', query time: 0.11s Refine Results
  1. 921

    Instruction and demonstration-based secure service attribute generation mechanism for textual data by LI Chenhao, WANG Na, LIU Aodi

    Published 2024-12-01
    “…The candidate service attribute extraction component of the proposed mechanism achieves an optimal average <italic>F</italic>1 score in few-shot experiments on the CoNLL-2003 dataset, surpassing the baseline model. …”
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  2. 922

    Study on the Design Method of High-Resolution Volume-Phase Holographic Gratings by Shuo Wang, Lei Dai, Chao Lin, Long Wang, Zhenhua Ji, Yang Fu, Quyouyang Gao, Yuquan Zheng

    Published 2024-10-01
    “…The diffraction efficiency of unpolarized light is more than 88% over the whole spectral range with an average efficiency of 94.49%, an effective bandwidth of 32 nm, and a polarization sensitivity of less than 7%. …”
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  3. 923

    Support Vector Machine Berbasis Feature Selection Untuk Sentiment Analysis Kepuasan Pelanggan Terhadap Pelayanan Warung dan Restoran Kuliner Kota Tegal by Oman Somantri, Dyah Apriliani

    Published 2018-10-01
    “…The results showed that the best accuracy level produced by the SVM-IG model with the best accuracy of 72.45% experienced an increase of about 3.08% which was initially 69.36%. The difference average produced after SVM optimization with feature selection is 2.51% increase in accuracy. …”
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  4. 924

    Numerical modeling of coupled electromagnetic and thermal processes in the zone induction heating system for metal billets by V. Yu. Grytsiuk, M. A. M. Yassin

    Published 2025-03-01
    “…Problem. With zone induction heating systems for metal billets developing it is necessary, at the design stage, to perform a quantitative analysis of the main characteristics of the electrothermal process and provide recommendations for optimal parameters and heating modes selections. …”
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    Article
  5. 925

    Enhanced Driver Posture Feature Extraction Method Based on the Spatial Prior Probabilistic Model by WANG Han; SUN Yu; YIN Jie

    Published 2020-09-01
    “…Aiming at the problem of driving posture recognition difference, a enhanced driver′ s posture feature extraction based on the skin-color histogram of spatial prior probabilistic model is proposed. …”
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    Article
  6. 926

    LOGISTICS SERVICE INFORMATION SYSTEM AUDIT USING COBIT 5 FRAMEWORK by Husnul Hayat, Samudi Samudi

    Published 2025-01-01
    “…Some of the current problems are that the applications used are not functioning optimally, IT Governance procedures are not well defined by standards, there is no IT Division in the Organizational Structure that is responsible for IT management and there is a shortage of competent human resources in the IT field. …”
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  7. 927

    Insensitive Mechanism-Based Nonlinear Model Predictive Guidance for UAVs Intercepting Maneuvering Targets with Input Constraints by Danpeng Huang, Mingjie Zhang, Taideng Zhan, Jianjun Ma

    Published 2024-10-01
    “…Finally, numerical simulations are carried out to validate the effectiveness of the proposed method, and the simulation results show that the NMPC-IM guidance strategy can decrease average energy expenditure by mitigating the impact of the target’s maneuverability, optimizing the UAV’s trajectory during the interception process.…”
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    Article
  8. 928

    Rolling window for detecting multiple Chan signatures to diagnose excessive water production by Ahmed MohamedSalih Musa Hamdoon, A. P. Mohammed Abdalla Ayoub Mohammed, A. P. Khaled Abdalla Elraies

    Published 2025-04-01
    “…This study investigates the effectiveness of incorporating the rolling window function for recognizing patterns dynamically, aiming to distinguish the various water problem patterns for optimal workover candidate selections and quick water treatment. …”
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    Article
  9. 929

    Wide-Range Variable Cycle Engine Control Based on Deep Reinforcement Learning by Yaoyao Ding, Fengming Wang, Yuanwei Mu, Hongfei Sun

    Published 2025-05-01
    “…A comparison of the simulation results shows that the proposed deep reinforcement learning controller effectively addresses the engine’s multi-variable coupling control problem. In addition, it reduces response time by an average of 44.5%, while maintaining a similar overshoot level to that of the PID controller.…”
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  10. 930

    Improving the efficiency of the heat stabilizer operation by distributing refrigerant flows inside the device and finning its surfaces by Alexander Ya. Gilmanov, Andrey S. Kim, Aleksandr P. Shevelev

    Published 2025-04-01
    “…The construction of long pipelines in the conditions of the cryolithozone is associated with the problem of soil thawing under them. An effective solution to this problem is the use of two-phase heat stabilizers located next to the piles. …”
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    Article
  11. 931

    Enhanced Next Generation Millimeter-Wave Multicarrier System with Generalized Frequency Division Multiplexing by Hidekazu Shimodaira, Joongheon Kim, Ali S. Sadri

    Published 2016-01-01
    “…However, OFDM based systems suffer from high Peak-to-Average Power Ratio (PAPR) problem. Because of the nonlinearity of the power amplifiers, the high PAPR causes significant distortion in the transmitted signal for millimeter-wave (mmWave) systems. …”
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  12. 932

    An Enhanced Semisteady-State Jaya Algorithm With a Control Coefficient and a Self-Adaptive Multipopulation Strategy by Joshua Churchill Ankrah, Francis Boafo Effah, Elvis Twumasi

    Published 2025-01-01
    “…Using four real-world engineering problems, the ESJaya algorithm is compared with the recently proposed piranha predation optimization algorithm (PPOA) and four state-of-the-art algorithms, namely, the COLSHADE algorithm, the sCMAgES algorithm, the SASS algorithm, and the EnMODE algorithm. …”
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  13. 933

    Broad learning system based on attention mechanism and tracking differentiator by LIAO Lüchao, ZOU Weidong, YANG Jialong, LU Huihuang, XIA Yuanqing, GAO Jianlei

    Published 2024-09-01
    “…In terms of model structure, A-TD-BLS introduced self-attention mechanism to the original BLS, and further fused and transformed the extracted features through attention weighting to improve the feature learning ability.In terms of model training methods, a weight optimization algorithm based on tracking differentiator was designed.This method effectively alleviates the overfitting phenomenon of the original BLS by limiting the size of the weight values, significantly reduces the influence of the number of hidden layer nodes on model performance and makes the generalization performance more stable.Moreover, the training algorithm was extended to the BLS incremental learning framework, so that the model can improve performance by dynamically adding hidden layer nodes.Multiple experiments conducted on some benchmark datasets show that compared to the original BLS, the classification accuracy of A-TD-BLS is increased by 1.27% on average on classification datasets and the root mean square error of A-TD-BLS is reduced by 0.53 on average on regression datasets.Besides, A-TD-BLS is less affected by the number of hidden layer nodes and has more stable generalization performance. …”
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  14. 934

    Modern epidemiological features of viral acute intestinal infections in children and adolescents of Sakhalin region by E. Yu. Sapega, L. V. Butakova, O. E. Trotsenko

    Published 2024-09-01
    “…Obtained results confirm the epidemiological significance of viral gastroenteritis and the necessity of anti-epidemic measures optimization.…”
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  15. 935

    Vehicle speed measurement method using monocular cameras by Hao Lian, Meian Li, Ting Li, Yongan Zhang, Yanyu Shi, Yikun Fan, Wenqian Yang, Huilin Jiang, Peng Zhou, Haibo Wu

    Published 2025-01-01
    “…By leveraging the characteristics of the speed measurement problem, the complex three-dimensional positioning problem is simplified into a two-dimensional model, reducing the overall computational complexity of the positioning problem. …”
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  16. 936

    GEOINFORMATION ANALYSIS OF ECOLOGICAL STABILITY OF A RIVER BASIN OF TASHLA by Igor Yur’evich Katorgin, Konstantin Yurevich Shkarlet, Roman Yurevich Sedykh

    Published 2022-09-01
    “…Problems of pollution of the small rivers of Stavropol Plateau are considered. …”
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  17. 937

    Active Compliance Control System for Intelligent Inspection Robot in Power Room by Ning Guan, Pei Zhang

    Published 2022-01-01
    “…In order to solve the problems of blind spot and time-consuming and laborious monitoring in manual inspection of power information and communication rooms, a kind of active compliant control system for intelligent inspection robots of power information and communication rooms is proposed. …”
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  18. 938

    OPTIMASI PENJADWALAN PROYEK DENGAN PENYEIMBANGAN BIAYA MENGGUNAKAN KOMBINASI CPM DAN ALGORITMA GENETIKA by Riza Arifudin

    Published 2012-03-01
    “…The project scheduling must be prepared systematically by using resources effectively and efficiently so that project objectives can be achieved optimally. This research aimed to examine the application of combinaton CPM and genetic algorithms to solved optimization problems in a project scheduling with the leveling of costs and designing a software. …”
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  19. 939

    Probability-based adaptive capacity rental strategy on shared platform with unknown demand distribution. by Yu Gong, Hui Yu

    Published 2025-01-01
    “…It differs from direct optimization of decisions by adaptively addressing stochastic problems through options and probabilities. …”
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  20. 940

    Coordinated human-exoskeleton locomotion emerges from regulating virtual energy. by Rezvan Nasiri, Hannah Dinovitzer, Nirosh Manohara, Arash Arami

    Published 2025-01-01
    “…Lower-limb exoskeletons have demonstrated great potential for gait rehabilitation in individuals with motor impairments; however, maintaining human-exoskeleton coordination remains a challenge. The coordination problem, referred to as any mismatch or asynchrony between the user's intended trajectories and exoskeleton desired trajectories, leads to sub-optimal gait performance, particularly for individuals with residual motor ability. …”
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