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EM-Based Optimization of Microwave Circuits using Artificial Neural Networks
(IEEE MTT-S Int. Microwave Symp. Workshop Notes and Short Courses, 2003-06)
EM-Based Optimization of Microwave Circuits using Artificial Neural Networks
(IEEE MTT-S Int. Microwave Symp. Workshop Notes and Short Courses, 2003-06)
EM-Based Optimization of Microwave Circuits using Artificial Neural Networks
(IEEE MTT-S Int. Microwave Symp. Workshop Notes and Short Courses, 2013)
A strategy for time series prediction using segment growing neural gas
(IEEE, 2017)
Segment Growing Neural Gas (Segment-GNG) has been recently proposed as a new spatiotemporal quantization method for time series. Unlike traditional quantization algorithms that are prototype-based, Segment-GNG uses segments ...
Glucose level regulation for diabetes mellitus type 1 patients using FPGA neural inverse optimal control
(2005)
There is a recent proposal for effective gauge theories that does not involve a background metric which makes it attractive for quantum gravity. The basic building blocks are new spaces of effective connections and the ...
Two-fold Approach for Video Retrieval: Semantic Vectors to Guide Neural Network Training and Video Representation Approximation Via Language-Image Models
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-05)
Video Retrieval is a challenging task concerned with recovering relevant videos from a collection to fulfill a query. Defining relevance is an unsolved problem in Information Retrieval literature since it is prone to ...