Multiple Classifier Fusion and Optimization for Automatic Focal Cortical Dysplasia Detection on Magnetic Resonance Images

In magnetic resonance (MR) images, detection of focal cortical dysplasia (FCD) lesion as a main pathological cue of epilepsy is challenging because of the variability in the presentation of FCD lesions.Existing algorithms appear to have sufficient sensitivity in detecting lesions but also generate large numbers of false-positive (FP) results.In thi

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Brain-inspired methods for achieving robust computation in heterogeneous mixed-signal neuromorphic processing systems

Neuromorphic processing systems implementing spiking neural networks with mixed signal analog/digital electronic circuits and/or memristive devices represent a promising technology for edge computing applications that require low power, low latency, and that cannot connect to the cloud for off-line processing, either due to lack of connectivity or

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Unlocking Local and Regional Development through Nature-Based Tourism: Exploring the Potential of Agroforestry and Regenerative Livestock Farming in Mexico

Nature-based tonfa tourism offers several positive effects, including bringing tourists closer to nature and increasing environmental awareness among them, creating new sources of employment, diversifying local and regional economies, promoting the conservation of local ecosystems, and protecting biodiversity.A pilot exercise based on choice experi

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