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A Radial Basis Function Neural Network for Stochastic Frontier Analyses of General Multivariate Production and Cost Func...

Published in Neural processing letters

Production function techniques often impose functional form and other restrictions that limit their applicability. One common limitation in popular production function techniques is the requirement that all inputs and outputs must be positive numbers. There is a need to develop a production function analysis technique that is less restrictive in th...

Ensemble of Numerics-Informed Neural Networks with Embedded Hamiltonian Constraints for Modeling Nonlinear Structural Dy...

Optimized reconstruction of the position of interaction in high-performances $\gamma$-cameras

Vectorized internal radiotherapy is an efficient modality for cancer treatment but requires a personalized dosimetry to adapt the administered dose for each patient, in order to limit the toxicity to organs-at-risk and maximize therapeutic effects. This can be done by performing quantitative imaging of the target organ with high resolution $\gamma$-imagin...

Importance of Path Planning Variability: A Simulation Study.

Published in Topics in cognitive science

Individuals vary in the way they navigate through space. Some take novel shortcuts, while others rely on known routes to find their way around. We wondered how and why there is so much variation in the population. To address this, we first compared the trajectories of 368 human subjects navigating a virtual maze with simulated trajectories. The sim...

Complex-valued Iris Recognition Network

In this work, we design a fully complex-valued neural network for the task of iris recognition. Unlike the problem of general object recognition, where real-valued neural networks can be used to extract pertinent features, iris recognition depends on the extraction of both phase and magnitude information from the input iris texture in order to bett...

Aplicación de técnicas de inteligencia artificial para la detección de tuberculosis pulmonar en Colombia

Tuberculosis is a respiratory disease that affects lungs and it is caused by the bacillus Mycobacterium tuberculosis (MTB), which is spread when people who are sick with tuberculosis expel bacteria into the air by coughing. Before the coronavirus (COVID-19) pandemic, tuberculosis was the leading cause of death from infectious agents even ranking ab...

Design Space Extrapolation and Inverse Design using Machine Learning

Modern electronic systems need to be analyzed and designed carefully for their operation at higher frequencies and many control parameters. This process takes up a huge time for computations and design cycles. To this effect, in this webinar, we investigate machine learning techniques for power delivery, signal integrity and EM problems. More speci...

Deep learning for near-infrared spectral data modelling: Hypes and benefits

Deep learning (DL) is emerging as a new tool to model spectral data acquired in analytical experiments. Although applications are flourishing, there is also much interest currently observed in the scientific community on the use of DL for spectral data modelling. This paper provides a critical and comprehensive review of the major benefits, and pot...

NerveStitcher: Corneal confocal microscope images stitching with neural networks.

Published in Computers in biology and medicine

Corneal nerves are of great interest to clinicians and scientists due to their potential for the diagnosis of early neurological disorders. In vivo confocal microscopy (IVCM) has been used as a novel and reliable tool for observing and quantifying corneal sub-basal nerves. Creating a wide-field montage of the nerve plexus from a large amount of IVC...

Nonlinear control of a class of non-affine variable-speed variable-pitch wind turbines with radial-basis function neural...

Published in ISA transactions

Due to complicated dynamics, wind turbines' governing equations are subject to uncertainties and unknown disturbance sources. Despite uncertainties and disturbance sources, the paper's focus is to design an adaptive controller that enables trajectory-tracking with a zero-converging tracking error. As the main result of a zero tracking error, the tu...