Neural networks (Computer science)
A neural networks benchmark for image classification
... which computer science served to other, more "complicated" problems, not solved yet by neural ...the neural networks of the ...convolutional networks, tree ...
44
TítuloDeep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications
... Feedforward Neural Networks (DFNN), Deep Belief Networks (DBN), Deep AutoEncoder Networks, Deep Boltzmann Machines (DBM), Deep Convolutional Neural Networks (DCNN) and Deep ...
26
Deep Neural Networks to find genetics signatures
... Deep Neural Networks (DNN) because their excellent results in other fields like Automatic Speech Recognition (ASR) 1 or image identification 2 ...tificial Neural Networks (ANN) are already ...
63
Data Mining with Enhanced Neural Networks-CMMSE
... four networks have been ...4 neural networks were constructed: one for each set of patterns S 1 · · · S 4 obtained, which outputs are I 1 · · · I 4 , ...
16
Assisting the training of deep neural networks with applications to computer vision
... a neural network to mimic the output of a complex and large ...the neural network with the data labeled by the en- semble, thus mimicking the function learned by the ensemble and achieving similar ...wide ...
151
Neural networks applied to wireless communications
... Neural network-based models are nowadays seen as a potential alternative for modeling electronics elements having medium-to-strong memory effects along with high-order nonlinearity. NNs are preferred over ...
10
Vehicle Type Detection by Convolutional Neural Networks
... Convolutional Neural Network (CNN) has been used, namely AlexNet ...the neural network with an input image where the object of interest occupies most of the image ...
11
TítuloArtificial Neural Networks Manipulation Server: Research on the Integration of Databases and Artificial Neural Networks
... data networks; support to their integration with heterogeneous systems; automation of the generation process of training and test sets, and improvement of the pattern-preprocessing ...
14
Glucose-Insulin regulator for type 1 diabetes using high order neural networks
... artificial neural networks (ANN) is ...order neural network in order to identify and control a nonlinear dynamical system which represents the pancreas’ beta-cells behavior of a virtual ...nonlinear ...
8
Playing the Imitation Game With Deep Learning
... recurrent neural networks to capture the meaningful signal in sequential ...alternatives. Computer scientists have come up with vari- ous metrics for these circumstances, ...
6
Implementing YOLO algorithm for real time object detection on embedded system
... artificial neural networks known as Convolutional Neural ...the networks that have gained recognition in this area of computer vision is YOLO, an algorithm that is a collection of ...
86
The first decade of computer science in Argentina
... in computer science, both professional and academic, was rapidly developing in Argentina, with a growth characterized by the enthusiasm of people involved, both professionals with other backgrounds, young ...
12
Epistemological issues concerning computer simulations in science and their implications for science education
... the computer; the resultant simulations are compared to the “true” behavior of the system, in order to evaluate the ...the computer produces of this simplified version of the physical ...
30
Detection and pattern recognition applied to leaves and chromosomes
... The ones that are based on derivatives of images have in common that convolving them with a previously created matrix does the treatment of them. This is done for detecting borders on the images, which are changes on the ...
17
Learning by generation in computer science education
... “computer science course at school as intensive/basic course, voluntary study group, or no course” and S13 “mathematics in school as intensive/basic course”, we obtained with S15 a significant performance ...
7
Informe d'Autors UOC a ISI Web of Knowledge Juliol 2014
... Zemel, A., Xhafa, F., & Stahl, G. (2005). Analyzing the organization of collaborative math problem-solving in online chats using statistics and conversation analysis. GROUPWARE: Design, implementation and use. Book ...
10
Computer Science & Technology Series . XVII Argentine Congress of Computer Science. Selected papers
... Abstract. Computer simulations using Cellular Automata (CA) have been applied with considerable success in different scientific areas. In this work we use CA in order to specify and implement a simulation model ...
318
Computer Science & Technology Series . XX Argentine Congress of Computer Science. Selected papers
... The fault tolerance methods have an impact on energy consumption and the power required by the system to run applications. This is because any method we use adds significant processing, and possibly disk storage, ...
314
Computer Science & Technology Series . XVI Argentine Congress of Computer Science - Selected papers
... In this paper we proposed the Predictive and Distributed Routing Balancing PR-DRB. PR-DRB limits performance degradation produced by packet contention in network resources. This strategy uses alternative paths under ...
280