Showing 181 - 200 results of 307 for search 'sequential research algorithm', query time: 0.14s Refine Results
  1. 181

    Measuring high-speed train delay severity: Static and dynamic analysis. by Bing Li, Chao Wen, Shenglan Yang, Mingzhao Ma, Jie Cheng, Wenxin Li

    Published 2024-01-01
    “…Applying the K-means clustering algorithm to standardized delay indicators yields an optimized categorization of delayed trains into four levels, reflecting varying risk levels. …”
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  2. 182

    Optimizing mRNA Vaccine Degradation Prediction via Penalized Dropout Approaches by Hwai Ing Soon, Azian Azamimi Abdullah, Hiromitsu Nishizaki, Latifah Munirah Kamarudin

    Published 2025-01-01
    “…To further optimize model performance, two advanced hyperparameter optimization (HPO) techniques—Dropout-Enhanced Technique (DEet) and Hyperparameter Optimization Algorithm Penalizer (HOPeR)—are proposed to mitigate overfitting, address inefficiencies in conventional HPO algorithms (HPOAs), and accelerate model convergence. …”
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  3. 183

    GTrXL-SAC-Based Path Planning and Obstacle-Aware Control Decision-Making for UAV Autonomous Control by Jingyi Huang, Yujie Cui, Guipeng Xi, Shuangxia Bai, Bo Li, Geng Wang, Evgeny Neretin

    Published 2025-04-01
    “…To address these issues, this paper integrates DRL with the Transformer architecture to propose the GTrXL-SAC (gated Transformer-XL soft actor critic) algorithm. The algorithm performs positional embedding on multimodal data combining visual and sensor information. …”
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  7. 187

    Deep Reinforcement Learning for UAV Intelligent Mission Planning by Longfei Yue, Rennong Yang, Ying Zhang, Lixin Yu, Zhuangzhuang Wang

    Published 2022-01-01
    “…Then, the SEAD intelligent planning model based on the proximal policy optimization (PPO) algorithm is established and a general intelligent planning architecture is proposed. …”
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  8. 188

    Мethodology for calculation of phase behavior of a natural hydrocarbon system with account of formation water mineralization by L. T. Abdrazakova, A. Gilmanov, A. P. Shevelev

    Published 2025-04-01
    “…The molar fraction of the gas phase is found using Sturm’s theorem and the algorithm of sequential division of Euclidean polynomials. …”
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  9. 189

    Efficient diagnosis of diabetes mellitus using an improved ensemble method by Blessing Oluwatobi Olorunfemi, Adewale Opeoluwa Ogunde, Ahmad Almogren, Abidemi Emmanuel Adeniyi, Sunday Adeola Ajagbe, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Asif Mehmood, Habib Hamam

    Published 2025-01-01
    “…The second phase employed the same algorithms alongside sequential ensemble methods—XG Boost, AdaBoostM1, and Gradient Boosting—using an average voting algorithm for binary classification. …”
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  10. 190

    Methods for Designing Technologies of Organic Crop Production by A. M. Zakharov, A. A. Ustroev, E. A. Murzaev, A. D. Komoedov

    Published 2025-03-01
    “…The first phase of this algorithm involves analyzing soil-climatic and economic conditions. …”
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  12. 192

    A DECISION SUPPORT TOOL FOR A WALKABLE INTEGRATED NEIGHBOURHOOD DESIGN USING A MULTICRITERIA DECISIONMAKING METHOD by Ali KEYVANFAR, Arezou SHAFAGHAT, Hasanuddin LAMIT

    Published 2018-09-01
    “…The WIND tool captures and forecasts pedestrians’ mind mapping, as well as sequential decision-making during walking, and then analyses the path walkability through a decision-tree- making (DTM) algorithm on both the segment scale and the neighbourhood scale. …”
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  13. 193

    LIGHTWEIGHT OF THE VEHICLE B PILLAR BASED ON SIX SIGMA ROBUST DESIGN UNDER SIDE IMPACT by QIU RuiBin, CHEN Yuan, LEI Fei, YANG ShaoYong, LI YongJun

    Published 2016-01-01
    “…In this paper,by considering uncertainty factors,taking side impact of a car as an example,first of all,an accurate finite element model is established and verified according to relevant crash regulations,then,after building an approximate model and a deterministic optimization model,the optimal solution is obtained by sequential quadratic programming algorithm and the reliability analysis is used,finally the original vehicle B pillar is accomplished lightweight research and improvement by using six sigma robust design method. …”
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  14. 194
  15. 195

    Multi-Objective Optimization of Parking Charging Strategy for Extended-Range Hybrid Electric Vehicle Based on MOMSA by Rong Yang, Jianxiang Lu, Zhiqi Sun, Wei Huang

    Published 2025-04-01
    “…This study addresses this gap by developing a novel parking charging strategy for E-RHEVs that leverages a temperature-dependent battery aging model and a Multi-Objective Mantis Search Algorithm (MOMSA)—a metaheuristic optimization algorithm designed to solve multi-objective problems by efficiently exploring trade-offs between conflicting objectives. …”
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  16. 196

    A Diagnostic Model of Breast Cancer Based on Digital Mammogram Images Using Machine Learning Techniques by Farouk A. K. Al-Fahaidy, Belal Al-Fuhaidi, Ishaq AL-Darouby, Faheem AL-Abady, Mohammed AL-Qadry, Abdurhman AL-Gamal

    Published 2022-01-01
    “…The followed step-by-step procedure of the proposed method is performed by passing the Mammographic Image Analysis Society (MIAS) through five steps of image preprocessing, image segmentation using seeded region growing (SRG) algorithm, feature extraction using different feature’s extraction classes, and important and effectiveness feature selection using the Sequential Forward Selection (SFS) technique, and finally, the Support Vector Machine (SVM) algorithm is used as a binary classifier in two classification levels. …”
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  17. 197

    Virtual measurement system for UHF-transistor amplifiers by Alexander D. Tupitsyn

    Published 2020-01-01
    “…Measurement systems for research of telecommunication devices and of their elements are difficult to maintain and expensive. …”
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    A segmentation method for lung nodule image sequences based on superpixels and density-based spatial clustering of applications with noise. by Wei Zhang, Xiaolong Zhang, Juanjuan Zhao, Yan Qiang, Qi Tian, Xiaoxian Tang

    Published 2017-01-01
    “…The fast and accurate segmentation of lung nodule image sequences is the basis of subsequent processing and diagnostic analyses. However, previous research investigating nodule segmentation algorithms cannot entirely segment cavitary nodules, and the segmentation of juxta-vascular nodules is inaccurate and inefficient. …”
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