Results 21 to 30 of about 34,499 (218)
Equilibrium Analysis of Cellular Neural Networks [PDF]
IEEE Transactions on Circuits and Systems I: Regular Papers, 2004 Cellular neural networks (CNNs) are dynamical systems, described by a large set of coupled nonlinear differential equations. The equilibrium-point analysis is an important step for understanding the global dynamics and for providing design rules. We yield a set of sufficient conditions (and a simple algorithm for checking them) ensuring the existence ...
GILLI, MARCO, BIEY, MARIO, CHECCO P.
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Molecules, 2021 Thyroid cancer (TC) is the most common endocrine malignancy. Most TCs have a favorable prognosis, whereas anaplastic thyroid carcinoma (ATC) is a lethal form of cancer. Different genetic and epigenetic alterations have been identified in aggressive forms
Asumi Iesato, Carmelo Nucera
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Neural Network Repair with Reachability Analysis
, 2022 Safety is a critical concern for the next generation of autonomy that is likely to rely heavily on deep neural networks for perception and control. Formally verifying the safety and robustness of well-trained DNNs and learning-enabled systems under attacks, model uncertainties, and sensing errors is essential for safe autonomy. This research proposes a
Xiaodong Yang +5 more
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On the Analysis of Neural Networks for Image Processing [PDF]
, 2003 This paper illustrates a novel method to analyze artificial neural networks so as to gain insight into their internal functionality. To this purpose, we will show analysis results of some feed-forward–error-back-propagation neural networks for image processing.
Berend-Jan van der Zwaag +2 more
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Frontiers in Pharmacology, 2020 Background and PurposePattern differentiation is a critical element of the prescription process for Traditional Chinese Medicine (TCM) practitioners. Application of advanced machine learning techniques will enhance the effectiveness of TCM in clinical ...
Wei-Te Huang +18 more
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Neural Network Analysis for Microplastic Segmentation
Sensors, 2021 It is necessary to locate microplastic particles mixed with beach sand to be able to separate them. This paper illustrates a kernel weight histogram-based analytical process to determine an appropriate neural network to perform tiny object segmentation ...
Gwanghee Lee, Kyoungson Jhang
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Using Predictive Analytics to Profile Potential Adopters of Autonomous Vehicles
Asia Marketing Journal, 2018 Technological advances are bringing autonomous vehicles to the ever-evolving transportation system. Anticipating adoption of these technologies by users is essential to vehicle manufacturers for making more precise production and marketing strategies ...
Eun-Ju Lee +2 more
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Analysis of dynamics of neural fields and neural networks
, 2022 This thesis deals with the development and analysis of neural fields and neural networks. Neural fields model the averaged scale behaviour of large groups of neurons, where we include a transmission delay and a diffusion term modelling gap junctions.
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Harmonic Analysis of Neural Networks
Applied and Computational Harmonic Analysis, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Application of topic modelling and neural network analysis to analyze life satisfaction [PDF]
TransinformaçãoAbtract This study aims analyze the important influencing factors that affect the life satisfaction of Koreans, and to identify the relative importance of these factors.
Young-Chool Choi
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