Showing 2,601 - 2,620 results of 2,900 for search '(feature OR features) parameters computational', query time: 0.22s Refine Results
  1. 2601
  2. 2602

    THE DISCRETIZATION OF THE POLARIZED SIGNAL by P. E. Korneev

    Published 2018-07-01
    “…A scheme for demodulating the in-phase and quadrature components of the polarized signal is given. Functional features of filtering units in the scheme are described, the attention of the designers of the digital signal processing systems to the requirements of the Kotel'nikov's sampling theorem is emphasized.…”
    Get full text
    Article
  3. 2603

    Design of a Wave-Shaped Towing Cable for Stable, Low-Drag Acoustic Monitoring in Wave Glider Systems by Tian Yingyuan, Chen Yaxun, Qi Yang, Lv Yunfei, Li Weijia

    Published 2025-09-01
    “…To understand the complex dynamics of the system, a comprehensive hydrodynamic model combining Euler-Lagrange dynamics with computational fluid dynamics was developed. This integrated framework facilitated a systematic investigation of the critical cable parameters for effective drag reduction and suppression of vortex-induced vibrations. …”
    Get full text
    Article
  4. 2604
  5. 2605

    Ab Initio Quantum Dynamics as a Scalable Solution to the Exoplanet Opacity Challenge: A Case Study of CO2 in a Hydrogen Atmosphere by Laurent Wiesenfeld, Prajwal Niraula, Julien de Wit, Nejmeddine Jaïdane, Iouli E. Gordon, Robert J. Hargreaves

    Published 2025-01-01
    “…We focus on the CO _2 –H _2 system as CO _2 is a key absorption feature for exoplanet research (primarily in many gas giants) at ∼4.3 μ m as pressure-broadening parameters required for interpreting such observations remain sparse. …”
    Get full text
    Article
  6. 2606

    DCS-YOLOv5s: A Lightweight Algorithm for Multi-Target Recognition of Potato Seed Potatoes Based on YOLOv5s by Zhaomei Qiu, Weili Wang, Xin Jin, Fei Wang, Zhitao He, Jiangtao Ji, Shanshan Jin

    Published 2024-10-01
    “…Subsequently, the original YOLOv5s model undergoes a series of enhancements, including the substitution of the conventional convolutional modules in the backbone network with the depth-wise separable convolution DP_Conv module to curtail the model’s parameter count and computational load; the replacement of the original C3 module’s Bottleneck with the GhostBottleneck to render the model more compact; and the integration of the SimAM attention mechanism module to augment the model’s proficiency in capturing features of potato tuber buds and defects, culminating in the DCS-YOLOv5s lightweight model. …”
    Get full text
    Article
  7. 2607
  8. 2608
  9. 2609

    Expediency Analysis of Clustering Algorithms for Electric Two-Wheeler Driving Cycle Development Under Indian Smart City Driving Conditions by Azhaganathan Gurusamy, Akshat Bokdia, Harsh Kumar, A. Radhika, Bragadeshwaran Ashok, Chellamuthu Gunavathi

    Published 2024-01-01
    “…Further, the denoised speed data is utilized to extract the micro-trips and compute their driving parameters. Furthermore, the dimensions of the data are decreased through the utilization of principal component analysis. …”
    Get full text
    Article
  10. 2610

    Construction of a Deep Learning Model for Unmanned Aerial Vehicle-Assisted Safe Lightweight Industrial Quality Inspection in Complex Environments by Zhongyuan Jing, Ruyan Wang

    Published 2024-11-01
    “…Traditional edge intelligence networks usually rely on terrestrial communication base stations as parameter servers to manage communication and computation tasks among devices. …”
    Get full text
    Article
  11. 2611
  12. 2612
  13. 2613

    A Multi-Class ECG Signal Classifier Using a Binarized Depthwise Separable CNN with the Merged Convolution–Pooling Method by Rui Zhang, Ranran Zhou, Zuting Zhong, Haifeng Qi, Yong Wang

    Published 2024-11-01
    “…To further reduce hardware resources, this work employs blockwise incremental calculation to eliminate redundant storage with computations. In addition, the R peak interval data are integrated with P-QRS-T features to improve the classification accuracy. …”
    Get full text
    Article
  14. 2614
  15. 2615

    Chaotic dynamics analysis and digital hardware design of the Izhikevich neuron model by Mehdi Nadiri Andabili, Soheila Nazari, Tohid Moosazadeh

    Published 2025-05-01
    “…Therefore, the suggested hardware, whose features include low error rates, acceptable power consumption, and frequency capabilities, exhibits efficiency and impact in a variety of applications, such as modeling learning processes in the nervous system that are based on nonlinear and chaotic behaviors.…”
    Get full text
    Article
  16. 2616
  17. 2617

    CAML-PSPNet: A Medical Image Segmentation Network Based on Coordinate Attention and a Mixed Loss Function by Yuxia Li, Peng Li, Hailing Wang, Xiaomei Gong, Zhijun Fang

    Published 2025-02-01
    “…Finally, the lightweight MobilenetV2 is utilized in backbone feature extraction, which largely reduces the model’s parameter count and enhances computation speed. …”
    Get full text
    Article
  18. 2618

    URBAN PASSENGER TRANSPORT ROAD NETWORKS: PROSPECTS OF METHODS’ OPTIMIZATION by S. M. Mochalin, J. A. Koleber

    Published 2019-07-01
    “…The authors revealed the main features of the optimization of the route networks of urban passenger transport in the conditions of the modern development of science and software and computing facilities in the studied area. …”
    Get full text
    Article
  19. 2619

    177Lu-DOTATATE peptide receptor radionuclide therapy in metastatic or advanced and inoperable primary neuroendocrine tumors of rare sites by Pradeep Thapa, Rahul Parghane, Sandip Basu

    Published 2017-07-01
    “…No specific correlation could be obtained between dual-tracer molecular imaging features and the response likely due to small population of the study group. …”
    Get full text
    Article
  20. 2620