Showing 101 - 120 results of 398 for search 'sequence variance', query time: 0.07s Refine Results
  1. 101

    Mixed Production Line Optimization of Industrialized Building Based on Ant Colony Optimization Algorithm by Xiaobo Chen, Fangfang Yu, Hengyu Zhou, Zhengdao Li, Kuo-Jui Wu, Xikun Qian

    Published 2022-01-01
    “…In order to optimize the large random orders in the prefabricated components production process, this research proposes a model to minimize variance of the production capacity utilization of prefabricated components in the production cycle, and the ant colony optimization algorithm is introduced to solve the mixed production line sequencing optimization problem. …”
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  2. 102

    Investigation of Outbreak-Specific Nonsynonymous Mutations on Ebolavirus GP in the Context of Known Immune Reactivity by Kerrie Vaughan, Xiaojun Xu, Bjoern Peters, Alessandro Sette

    Published 2018-01-01
    “…We analyzed the published antibody epitope data to identify regions immunogenic for humans on the main GP antigenic target and determine sequence variance/nonsynonymous mutations between historical isolates and variants from the 2013-2016 outbreak. …”
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  3. 103

    Improving the convergence property of DFE using the deterministic blind channel estimation by QIAO Yan-tao, ZHANG Li-jun

    Published 2005-01-01
    “…In the comparison with the conventional DFE with training sequence, the proposed algorithm has meaningful advantages in coping with the abrupt time-variance of channels by re-initialization during communication. …”
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  4. 104

    Modeling for predicting and optimizing of the flexural and hardness properties of jute/kenaf/glass fiber nano-composite through RSM by Jothi Arunachalam Solairaju, Saravanan Rathinasamy, Sathish Thanikodi

    Published 2024-12-01
    “…Sequence 2 results in a 35 % improvement in flexural strength and an 18 % increase in hardness, while sequence 3 yields a 27 % improvement in flexural strength and an 18 % increase in hardness. …”
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  5. 105

    Improving the convergence property of DFE using the deterministic blind channel estimation by QIAO Yan-tao, ZHANG Li-jun

    Published 2005-01-01
    “…In the comparison with the conventional DFE with training sequence, the proposed algorithm has meaningful advantages in coping with the abrupt time-variance of channels by re-initialization during communication. …”
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    Article
  6. 106

    Development and validation of a preoperative magnetic resonance imaging-based and machine learning model for the noninvasive differentiation of intracranial glioblastoma, primary c... by Yuxiang Sun, Yuxiang Sun, Junpeng Xu, Dongsheng Kong, Yu Zhang, Qijia Wu, Liqin Wei, Zihao Zhu, Chunhui Li, Shiyu Feng

    Published 2025-04-01
    “…POPULATION: We included 202 patients, including 71 GB, 59 PCNSL, and 72 BM, randomly divided into a training cohort (n =141) and a validation cohort (n = 61).FIELD STRENGTH/SEQUENCE: Axial T2-weighted fast spin-echo sequence (T2WI) and contrast-enhanced T1-weighted spin-echo sequence (CE-T1WI) using 1.5-T and 3.0-T scanners. …”
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  7. 107

    Determining which sine wave frequencies correspond to signal and which correspond to noise in eye-tracking time-series by Mehedi Hasan Raju, Lee Friedman, Troy Bouman, Oleg Komogortsev

    Published 2023-12-01
    “…To investigate what is signal and what is noise, we analyzed our dataset in three ways: (1) visual inspection of plots of saccade, microsaccade and smooth pursuit exemplars; (2) analysis of the percentage of variance accounted for (PVAF) in 1,033 unfiltered saccade trajectories by each frequency band; (3) analyzing the main sequence relationship between saccade peak velocity and amplitude, based on a power law fit. …”
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  8. 108

    Deep learning to promote health through sports and physical training by Xinyue Li

    Published 2025-05-01
    “…Recent advancements in deep learning and time-series analysis offer an opportunity to develop more personalized and accurate predictive models for assessing health improvement trends.MethodsThis study proposes a Health Improvement Score (HIS) prediction model based on a sequence-to-sequence deep learning architecture with Long Short-Term Memory (LSTM) networks and an attention mechanism. …”
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  9. 109

    Validation of genetic risk scores for hypertension in the Central Russian population by A. S. Limonova, A. I. Ershova, A. V. Kiseleva, V. A. Kutsenko, V. E. Ramensky, Yu. V. Vyatkin, E. A. Sotnikova, A. A. Zharikova, M. Zaichenoka, M. S. Pokrovskaya, S. А. Shalnova, A. N. Meshkov, O. M. Drapkina

    Published 2023-12-01
    “…The proportion of explained variance was 0,5-0,8%. The best predictive ability (proportion of explained variance — 2,5%) was demonstrated using previously developed GRSs (Evangelou E, et al., 2018), which includes the largest number of nucleotide sequence variants (n=852).Conclusion. …”
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  10. 110

    fHMM: Hidden Markov Models for Financial Time Series in R by Lennart Oelschläger, Timo Adam, Rouven Michels

    Published 2024-06-01
    “…To give an example, when the market is in a nervous state, corresponding stock returns often follow some distribution with relatively high variance, whereas calm periods are often characterized by a different distribution with relatively smaller variance. …”
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  11. 111

    Measurement and analysis on channel large scale fading characteristics of conference room at 15 GHz by Jun SUN, Lijuan XIE, Hui XU, Shunshun LIU

    Published 2016-02-01
    “…The time domain measurement system based on PN sequence was used to measure propagation characteristics of the line-of-sight(LOS)and non-line-of-sight(NLOS)scenarios of conference room at 15 GHz. …”
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  12. 112

    Predicting algorithm of attC site based on combination optimization strategy by Zhendong Liu, Xi Chen, Dongyan Li, Xinrong Lv, Mengying Qin, Ke Bai, Zhiqiang He, Yurong Yang, Xiaofeng Li, Qionghai Dai

    Published 2022-12-01
    “…However, the traditional site-specific recombination system requires a consensus sequence for the specific site. Such sequence-level constraints limit effective recombination between sites. …”
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  13. 113

    Determination of genetic diversity between natural and cultured populations of Common Dentex (Dentex dentex) fish in the East Aegean Sea by Kayaci Ali, Can Mehmet Fatih, Güner Yusuf, Güleç Fatih

    Published 2023-03-01
    “…Along with the COI gene sequence, real-time PCR and high-resolution melting analyses were performed as rapid and inexpensive alternatives. …”
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  14. 114

    LGLoc as a new language model-driven graph neural network for mRNA localization by Saeedeh Akbari Rokn Abadi, Aref Shahbakhsh, Somayyeh Koohi

    Published 2025-05-01
    “…LGLoc employs a Graph Neural Network encoder that utilizes the RNA’s secondary structure, complemented by a BERT encoder focused on the primary RNA sequence. Additionally, it integrates k-mer and nucleotide frequency-based encoders to capture essential sequence characteristics. …”
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  15. 115

    Variation of nucleocapsid protein gene of infectious bronchitis virus and its expression in Escherichia coli by ZHOU Ji-yong, DING Hong-mei, CHENG Li-qin, Jimmy Kwang

    Published 2003-01-01
    “…This research was undertaken to investigate their variance where two specific primers were designed and synthesized according to the published sequence of N protein gene of IBV strain Beaudette. cDNAs of N gene were amplified by reverse transcription polymerase chain reaction (RT-PCR) from viral RNAs of IBV-ZJ971, N, X and H52 strains, cloned into vector pBluescript SK (+) and sequenced. …”
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  16. 116

    Time Series Forecasting Using Recurrent Neural Networks Based on Recurrent Sigmoid Piecewise Linear Neurons by Victor Sineglazov, Vladyslav Horbatiuk

    Published 2025-12-01
    “…The neuron model guarantees its dynamical stability for any sequence of input values and any number of recurrent steps and provides an upper bound for the variance of context vector elements. …”
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  17. 117

    Triangular segmentation criterion for DT mesh based video coding by GUO Da-bo1, LU Zhao-yang1, JIAO Wei-dong1, HU Xing-xing1

    Published 2009-01-01
    “…Based on the analysis of the deficiency of two previous Delaunay triangular mesh segmentation criterions—minimize difference of gray and minimize variance of gray, a new triangular mesh criterion, minimize sum of squared difference of gray, was proposed. …”
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  18. 118

    Mitochondrial DNA D-Loop Polymorphisms among the Galla Goats Reveals Multiple Maternal Origins with Implication on the Functional Diversity of the HSP70 Gene by Ednah M. Masila, Stephen O. Ogada, Irene N. Ogali, Grace M. Kennedy, Eric K. Too, Cecily S. Ommeh

    Published 2024-01-01
    “…The results revealed 90 segregating sites and 68 haplotypes in a 600-bp mtDNA D-loop sequence. The overall mean mitochondrial haplotype diversity was 0.993. …”
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  19. 119

    HIV-1 transmitting couples have similar viral load set-points in Rakai, Uganda. by T Déirdre Hollingsworth, Oliver Laeyendecker, George Shirreff, Christl A Donnelly, David Serwadda, Maria J Wawer, Noah Kiwanuka, Fred Nalugoda, Aleisha Collinson-Streng, Victor Ssempijja, William P Hanage, Thomas C Quinn, Ronald H Gray, Christophe Fraser

    Published 2010-05-01
    “…Using ANOVA, we estimated the proportion of variance in viral load set-points which was explained by the similarity within couples (the 'couple effect'). …”
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  20. 120

    The 2023 Major Baltic Inflow Event Observed by Surface Water and Ocean Topography (SWOT) and Nadir Altimetry by Saskia Esselborn, Tilo Schöne, Henryk Dobslaw, Roman Sulzbach

    Published 2025-04-01
    “…The model explains more than 80% of the variance observed by SWOT and up to 90% of the variance observed by the nadir altimeters. …”
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