Showing 561 - 580 results of 26,283 for search 'Nurgal~', query time: 5.68s Refine Results
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    Improved bootstrap X¯ control chart for non-normally distributed data by Sukma Adi Perdana, Muhammad Mashuri, Muhammad Ahsan

    Published 2025-06-01
    “…To deal with this issue, X¯ control chart from non-normal distribution was proposed using a novel improved Bootstrap method. …”
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  3. 563

    Optimizing Pretrained Convolutional Neural Networks for Tomato Leaf Disease Detection by Iftikhar Ahmad, Muhammad Hamid, Suhail Yousaf, Syed Tanveer Shah, Muhammad Ovais Ahmad

    Published 2020-01-01
    “…In this context, our research work focuses on classification and identification of tomato leaf diseases using convolutional neural network (CNN) techniques. We consider four CNN architectures, namely, VGG-16, VGG-19, ResNet, and Inception V3, and use feature extraction and parameter-tuning to identify and classify tomato leaf diseases. …”
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    Normal and melanoma skin visualized, quantified and compared by in vivo photoacoustic imaging by Terese von Knorring, Tobias Buhl Ihlemann, Paul Blanche, Charlene Reichl, Niels Møller Israelsen, Caroline Meyer Olesen, Yasemin Topal Yüksel, Mette Mogensen

    Published 2025-04-01
    “…We assessed normal skin in 20 healthy volunteers from three different body locations using a clinical PAI system and compared suspicious looking pigmented skin lesions, including melanomas, to adjacent normal skin (n = 74). …”
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  7. 567

    Deep learning to decode sites of RNA translation in normal and cancerous tissues by Jim Clauwaert, Zahra McVey, Ramneek Gupta, Ian Yannuzzi, Venkatesha Basrur, Alexey I. Nesvizhskii, Gerben Menschaert, John R. Prensner

    Published 2025-02-01
    “…We demonstrate that RiboTIE successfully recapitulates known findings and provides novel insights into the regulation of RNA translation in both normal brain and medulloblastoma cancer samples. Our results suggest that RiboTIE is a versatile tool that can significantly improve the accuracy and depth of Ribo-Seq data analysis, thereby advancing our understanding of protein synthesis and its implications in disease.…”
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  8. 568

    PROBABILISTIC PROPERTIES OF THE INITIAL VALUES OF WEIGHTING FACTORS IN SYNCHRONIZED ARTIFICIAL NEURAL by V. F. Golikov, N. V. Brich

    Published 2015-05-01
    “…One of the most efficient ways for identical binary se quences generation is using methods of neural cryptography. The initial weight vestors values influence on speed of synchronization is analized. …”
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  9. 569
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    Classifying Normal and Abnormal Status Based on Video Recordings of Epileptic Patients by Jing Li, Xiantong Zhen, Xianzeng Liu, Gaoxiang Ouyang

    Published 2014-01-01
    “…Based on video recordings of the movement of the patients with epilepsy, this paper proposed a human action recognition scheme to detect distinct motion patterns and to distinguish the normal status from the abnormal status of epileptic patients. …”
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    An Exponential Varying-Parameter Neural Network for Repetitive Tracking of Mobile Manipulators by Ying Kong, Qingqing Tang, Jingsheng Lei, Ruiyang Zhang

    Published 2020-01-01
    “…A novel exponential varying-parameter neural network (EVPNN) is presented and investigated to solve the inverse redundancy scheme of the mobile manipulators via quadratic programming (QP). …”
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    Neural correlates of basketball proficiency: An MRI study across skill levels by Manqi Zhang, Wenbiao Zhang, Yujie Yao, Jiabao Lin, Lei Mo

    Published 2025-01-01
    “…Background: Basketball is an attractive sport required both cooperative and antagonistic motor skills. However, the neural mechanism of basketball proficiency remains unclear. …”
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  18. 578

    Adaptive Feedback Control for Synchronization of Chaotic Neural Systems with Parameter Mismatches by Qian Ye, Zhengxian Jiang, Tiane Chen

    Published 2018-01-01
    “…This work pertains to the study of the synchronization problem of a class of coupled chaotic neural systems with parameter mismatches. By means of an invariance principle, a rigorous adaptive feedback method is explored for synchronization of a class of coupled chaotic delayed neural systems in the presence of parameter mismatches. …”
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    Yogasana classification using Deep Neural Network: A Unique Approach by Rishi Raj, Rajesh Mukherjee, Bidesh Chakraborty

    Published 2025-02-01
    “…In this research work, we have automatically identified different Yogasanas from images using a deep neural network. For our work we have considered 10 very popular categories of Yogasana and built a dataset of volume 800 images. …”
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