Titlebook: Voltage-to-Frequency Converters; CMOS Design and Impl Cristina Azcona Murillo,Belén Calvo Lopez,Santiago Book 2013 Springer Science+Busines

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ental results validate the efficacy of our proposed plant detection benchmark, with a precision of 88.1%, a mean average precision (mAP) of 77.6%, and a higher recall compared to the baseline. Additionally, our method effectively overcomes the issue of missing small objects.

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Cristina Azcona Murillo,Belén Calvo Lopez,Santiago Celma Pueyo computers are not. This is because of the massive amount of two-dimensional array data that needs to be analyzed and the lack of learning or self-organizing capabilities of most modern day computers. From a mathematical point of view, low-level vision problems are ill-posed according to Hadamard [H

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Cristina Azcona Murillo,Belén Calvo Lopez,Santiago Celma Pueyoesentations are derived and the performance under each is analyzed. The results indicate that input representation is particularly important in determining the neural network’s recognition capability and the amount of tolerable noise in parameter readings.

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Cristina Azcona Murillo,Belén Calvo Lopez,Santiago Celma Pueyod novel network architectures andlearning algorithms for modelling and control. Topics includenon-linear system identification, neural optimal control, top-downmodel based neural control design and stability analysis of neuralcontrol systems. A major contribution of this book is to introduce.NLq. .Theory. as 978-1-4419-5158-8978-1-4757-2493-6

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onal means. This chapter addresses some issues related to the training of the class of ANNs known as Multi-layer Feedforward Neural Networks (MFNN) which are most commonly used in streamflow forecasting applications. We also present results illustrating the applicability of properly trained MFNNs in

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https://doi.org/10.1007/978-1-4614-6237-8Analog Circuits and Signal Processing; Bidirectional Current Integrators; CMOS Rail-to-Rail VFC; CMOS V