Showing 1,001 - 1,020 results of 26,283 for search 'Nurgal~', query time: 4.91s Refine Results
  1. 1001

    Efficient Lane Detection Technique Based on Lightweight Attention Deep Neural Network by Zhiting Yao, Xiyuan Chen

    Published 2022-01-01
    “…This paper proposed an improved attention deep neural network (DNN), a lightweight semantic segmentation architecture catering for efficient computation in low memory, which contains two branches worked in different resolution. …”
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    Article
  2. 1002

    Hourly Forecasting of Solar Photovoltaic Power in Pakistan Using Recurrent Neural Networks by Sohrab Khan, Faheemullah Shaikh, Mokhi Maan Siddiqui, Tanweer Hussain, Laveet Kumar, Afroza Nahar

    Published 2022-01-01
    “…This paper suggests recurrent neural networks (RNNs) as the best-performing forecasting model for PV power output. …”
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    Article
  3. 1003

    Single- versus Multiobjective Optimization for Evolution of Neural Controllers in Ms. Pac-Man by Tse Guan Tan, Jason Teo, Kim On Chin

    Published 2013-01-01
    “…Pac-Man agent by using artificial neural network (ANN) and multiobjective artificial evolution. …”
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    Article
  4. 1004
  5. 1005

    Elusive Gains of Cognitive Training: Limited Effects on Neural Activity Across Sessions by Luka Juras, Andrea Vranic, Ivana Hromatko

    Published 2024-12-01
    “…Here we opted to investigate the temporal dynamics of neural activity and cognitive performance during a structured cognitive training program. …”
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    Article
  6. 1006

    Finite-Time Synchronization for Complex-Valued Recurrent Neural Networks with Time Delays by Ziye Zhang, Xiaoping Liu, Chong Lin, Bing Chen

    Published 2018-01-01
    “…This paper focuses on the finite-time synchronization analysis for complex-valued recurrent neural networks with time delays. First, two kinds of common activation functions appearing in the existing references are combined together and more general assumptions are given. …”
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    Article
  7. 1007

    Gender and Handedness Prediction from Offline Handwriting Using Convolutional Neural Networks by Ángel Morera, Ángel Sánchez, José Francisco Vélez, Ana Belén Moreno

    Published 2018-01-01
    “…This work describes an experimental study on the suitability of deep neural networks to three automatic demographic problems: gender, handedness, and combined gender-and-handedness classifications, respectively. …”
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    Article
  8. 1008

    Using the Neurofibromatosis Tumor Predisposition Syndromes to Understand Normal Nervous System Development by Cynthia Garcia, David H. Gutmann

    Published 2014-01-01
    “…These coordinated processes ensure that tissues maintain a size and architecture that is appropriate for normal tissue function. As such, tumors arise when cells acquire genetic mutations that allow them to escape the normal growth constraints. …”
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  9. 1009
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  11. 1011

    Fuzzy Neural Network-Based Evaluation Algorithm for Ice and Snow Tourism Competitiveness by Ying Zhao, Qinghua Zhu, Jiujun Bai

    Published 2021-01-01
    “…Based on the construction of cloud fuzzy neural network model, the above method is used for experimental comparison analysis, and experiments are conducted through University of California Irvine (UCI) dataset and engineering examples to compare with the traditional cloud model, fuzzy neural network, and BP neural network to analyze the operation efficiency, accuracy rate, and several rules of the algorithm. …”
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  12. 1012

    Construction of Cognitive Model of Family Education Decision-Making Based on Neural Network by Wenwen Yao, Ying Zhen, Yu Zhang

    Published 2022-01-01
    “…This paper constructs a cognitive model of family training decision-making principally based totally on neural network. Through the assessment of relevant data, they have an effect of the cognitive model of family coaching decision-making mainly based totally on neural neighborhood evaluated from the accuracy, root suggest rectangular error RMSE, and AUC curve. …”
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  13. 1013
  14. 1014

    Improved AHP Model and Neural Network for Consumer Finance Credit Risk Assessment by Yafeng Xi, Qiu Li

    Published 2022-01-01
    “…The data are input into the AHP-LSTM neural network, and the index data are fused with the AHP so as to obtain the risk level and serve as the expected output of the LSTM neural network. …”
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  15. 1015

    Structure simulation-based comparison of active site variations in fungal ornithine decarboxylases by Min Jeong Kim, Jeong Ho Chang

    Published 2025-12-01
    “…Notably, the bacterial Campylobacter jejuni decarboxylase (CjCANSDC), which binds the largest substrate, exhibits the longest distance, whereas fungal ODC, which binds the smallest substrate, displays the shortest distance. …”
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  16. 1016

    An Empirical Likelihood Ratio-Based Omnibus Test for Normality with an Adjustment for Symmetric Alternatives by Chioneso Show Marange, Yongsong Qin

    Published 2021-01-01
    “…An omnibus test for normality with an adjustment for symmetric alternatives is developed using the empirical likelihood ratio technique. …”
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  17. 1017
  18. 1018

    Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning by Spyridon Chavlis, Panayiota Poirazi

    Published 2025-01-01
    “…Abstract Artificial neural networks (ANNs) are at the core of most Deep Learning (DL) algorithms that successfully tackle complex problems like image recognition, autonomous driving, and natural language processing. …”
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  19. 1019

    Complement protein and Immunoglobulins Serum levels in Normal Pregnant and Spontaneous Aborted Women by Hiwa Abdulrahman Ahmad, Mehri Mirhaj Muhammd salih, Kamal Ahmed Khidir

    Published 2018-07-01
    “…The study was designed to concentrated on immunoglobulins (IgM, IgG and IgA) and complement elements (C3 and C4)   serum levels changes in normal pregnant and abortion women. Study groups were classified into normal pregnant women (20), spontaneous abortion (30) and non-pregnant women (16) as a control group, attending to Shahid Dr. …”
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  20. 1020

    An Index for Measuring Functional Diversity in Plant Communities Based on Neural Network Theory by Naiqi Song, Jin-Tun Zhang

    Published 2013-01-01
    “…A new method based on neural network, self-organizing feature map (SOFM index), was put forward and described. …”
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