Showing 1,981 - 2,000 results of 4,946 for search '(( different evolution algorithm ) OR ( different evaluation algorithm ))', query time: 0.17s Refine Results
  1. 1981

    Operational considerations for approximating molecular assembly by Fourier transform mass spectrometry by Gabriella M. Weiss, Gabriella M. Weiss, Gabriella M. Weiss, Silke Asche, Hannah McLain, Angela H. Chung, Angela H. Chung, Angela H. Chung, S. Hessam M. Mehr, Leroy Cronin, Heather V. Graham

    Published 2024-11-01
    “…The raw mass spectrometry data was compared with two different MA processing algorithms - one that uses the parent molecule spectrum and molecular weight (recursive) and one that does not (non-recursive). …”
    Get full text
    Article
  2. 1982

    Towards complexity in de Sitter space from the doubled-scaled Sachdev-Ye-Kitaev model by Sergio E. Aguilar-Gutierrez

    Published 2024-10-01
    “…We interpret spread complexity in terms of a time difference between antipodal observers in SdS3 space, and a boundary time difference of the dual LdS2 CFTs. …”
    Get full text
    Article
  3. 1983

    Research on concrete structure damage detection based on piezoelectric sensing technology and morphological fractal method by Hanqing Zhong, Liwei Shuai, Dongmin Deng

    Published 2025-07-01
    “…The research results show that the signal corrosion algorithm based on mathematical morphology can significantly enhance the contrast of the steepness characteristics of wave peaks at different damage stages, thereby more effectively capturing the self-similarity characteristics of signal waveforms. …”
    Get full text
    Article
  4. 1984

    NEW ORGANIZATION PROCESS OF FEATURE SELECTION BY FILTER WITH CORRELATION-BASED FEATURES SELECTION METHOD by Olga Solovei

    Published 2022-09-01
    “…A new organization process for feature selection which is proposed in current work combines filter and learning algorithm properties in evaluation strategy which helps to choose the optimal feature subset for predefined learning algorithm. …”
    Get full text
    Article
  5. 1985

    Numerical Simulation Study on the Strengthening Mechanism of Rock Materials under Impact Loads by Xin Liu, Kai Wang, Chunan Tang, Xikun Qian

    Published 2022-01-01
    “…The orthogonal design and range method are used to analyze the sensitivity of the dynamic damage constitutive parameters, and a differential evolution algorithm is used to invert the relevant parameters of the constitutive model. …”
    Get full text
    Article
  6. 1986

    Full Information Numerical Simulation of Two-Dimensional Steady Ground Temperature Field by Fan Jiang, Shikun Dai, Ying Zhang, Hongjun Tian

    Published 2025-03-01
    “…The results of the algorithm were compared with COMSOL Multiphysics finite element simulation software to verify the correctness of the algorithm and compare and analyze the improvement of the algorithm in computation time and memory consumption under the same mesh division.…”
    Get full text
    Article
  7. 1987

    Enhancing Rare Class Performance in HOI Detection with Re-Splitting and a Fair Test Dataset by Gyubin Park, Afaque Manzoor Soomro

    Published 2025-06-01
    “…However, as shown in the Experiment and Evaluation subsection, a high level of performance can be achieved for the general case using different few-shot and rare-class training instances. …”
    Get full text
    Article
  8. 1988

    Optimal design strategy of traditional courtyard based on performance and data-driven method—A case study of Yanshen ancient town, China by Zhixin Xu, Xin Zheng, Xiangfeng Li

    Published 2025-10-01
    “…Additionally, SHAP analysis of the independent variables in the algorithm reveals distinct influencing trends under different performance labels. …”
    Get full text
    Article
  9. 1989

    Modelling maintenance scheduling strategies for highway networks. by Bao Tong, Jianwei Wang, Xue Wang, Feihao Zhou, Xinhua Mao, Yaxin Duan

    Published 2022-01-01
    “…A simulated annealing algorithm and augmented Lagrange algorithm are employed to solve the two proposed models, respectively. …”
    Get full text
    Article
  10. 1990

    Collision Avoidance Method for Autonomous Ships Based on Modified Velocity Obstacle and Collision Risk Index by Ke Zhang, Liwen Huang, Yixiong He, Liang Zhang, Weiguo Huang, Cheng Xie, Guozhu Hao

    Published 2022-01-01
    “…It can effectively consider the randomness, ambiguity, and incompleteness of the information in the ship collision risk evaluation process. Moreover, reachable collision-free velocity sets under different encounter situations and optimal steering angle model are constructed. …”
    Get full text
    Article
  11. 1991

    Aircraft Multi-stage Altitude Prediction Under Satellite Signal Loss by Mengchan HUANG, Qiang MIAO

    Published 2024-11-01
    “…Several comparative experiments are designed to comprehensively evaluate the LTCA–TCN altitude prediction algorithm proposed herein. …”
    Get full text
    Article
  12. 1992

    Multi-Objective Optimization of Three-Stage Turbomachine Rotor Based on Complex Transfer Matrix Method by Hüseyin Tarık Niş, Ahmet Yıldız

    Published 2024-11-01
    “…Furthermore, it is noted that among the different optimization algorithms, ABC provided the best results for this multi-objective optimization problem.…”
    Get full text
    Article
  13. 1993

    Time-Delay following Model for Connected and Automated Vehicles with Collision Conflicts and Forced Deceleration by Wenbo Wang, Fei Hui, Kaiwang Zhang, Xiangmo Zhao, Asad J. Khattak

    Published 2024-01-01
    “…Additionally, the model parameters are calibrated using real vehicle data from urban roads combined with an improved salp swarm algorithm. Finally, the evolution rule of disturbance in the traffic flow under different states is analyzed using a time-space diagram, and the DIDM-CSCL model is compared with the classical IDM. …”
    Get full text
    Article
  14. 1994

    Modeling of the Power Station Boiler Combustion Efficiency Considering Multiple Work Condition with Feature Selection by TANG Zhenhao, WU Xiaoyan, CAO Shengxian

    Published 2020-04-01
    “…It is difficult for power station boiler efficiency to measure precisely A datadriven modeling method is proposed to establish the boiler combustion efficiency model, according to the machine learning theories A classification and regression trees (CART) algorithm provides correlated variables which have significant relation with the boiler combustion efficiency by data analysis Then, a KNearest Neighbor (KNN) classifies the samples to distinguish the data from different work conditions Based on the classified data, a least square support vector machine (LSSVM) optimized by differential evolution (DE) algorithm is proposed to establish a datadriven model (DDMMF) The parameters of LSSVM are optimized dynamically by DE to improve the model accuracy Finally, the prediction model is corrected dynamically for further improvement of the prediction accuracy The experimental results based on actual production data illustrate that the proposed approach can predict the boiler combustion efficiency accurately, which meets the requirements of boiler control and optimization…”
    Get full text
    Article
  15. 1995

    VAMP-Based Kalman Filtering Under Non-Gaussian Process Noise by Tiancheng Gao, Mohamed Akrout, Faouzi Bellili, Amine Mezghani

    Published 2025-01-01
    “…For the sake of theoretical performance prediction, we conduct a state evolution (SE) analysis of the proposed algorithm and show its consistency with the asymptotic empirical mean-squared error (MSE). …”
    Get full text
    Article
  16. 1996

    Big Data Digging of the Public’s Cognition about Recycled Water Reuse Based on the BP Neural Network by Hanliang Fu, Zhijian Liu, Mengmeng Wang, Zelin Wang

    Published 2018-01-01
    “…Based on a multivariate clustering algorithm, MATLAB software was used to make real testing on massive effective data and assumption models, so as to analyze the proportion of three evaluation factors and understand the simulation parameter scope of the cognition degree of different groups of citizens. …”
    Get full text
    Article
  17. 1997

    An Adaptive Distributed Consumer Trust Model for Social Commerce by Xiumu Weng, Ding Pan, Yun Jin

    Published 2024-12-01
    “…The main features of its algorithm include (1) When calculating product trustworthiness, evaluations from consumers themselves, social networks, and e-commerce platforms are integrated, and the importance of these three sources of trust can change adaptively as consumers learn. (2) When selecting product providers and advisers, the Softmax algorithm is used to deal with the “exploration or exploitation” dilemma in reinforcement learning. (3) Consider the emotional attachment between consumers and advisers. (4) Design a blacklist mechanism to determine alternative product providers. …”
    Get full text
    Article
  18. 1998

    Sensitivity Analysis Based on E-TOPSIS Combined with MORIME-Based Multi-Objective Optimization for Sprayer Frame Design Optimization by Shaohao Zhou, Qi Chen, Lihua Zhang

    Published 2025-02-01
    “…This study establishes a sensitivity evaluation system based on the E-TOPSIS method and combines it with the MORIME algorithm for the optimization design of the frame. …”
    Get full text
    Article
  19. 1999

    Comparative Study of the Performance of Two Treatment Planning Systems Using Tests from the MPPG 5b Guidelines, TECDOC 1583 and Venselaar's Confidence Limits by Carlos Vega D'Espaux, Federico Lorenzo, Franco La Paz Mastandrea, Nicolás Larragueta

    Published 2025-04-01
    “…The evaluation of both systems was conducted following different methods, including point measurements, dose profiles, and measurements on phantoms with heterogeneities. …”
    Get full text
    Article
  20. 2000

    BT-YOLO11: Automatic Driving Road Target Detection in Complex Scenarios by Qi Wang, Qi Long Wang

    Published 2025-01-01
    “…The Tri-directional Feature Pyramid Net is used in the feature fusion stage, which adequately fuses different levels of feature information and improves the accuracy and robustness of the algorithm. …”
    Get full text
    Article