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Graph Oriented Attention Networks

IEEE access, 2024, Vol.12, p.47057-47067

2024

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Generating A-Star Algorithm Admissible Heuristics Using a Dynamic Dataloader on Neural Networks, Enhanced With Genetic Algorithms, on a Distributed Architecture

IEEE access, 2023, Vol.11, p.18356-18373

2023

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Data driven approach to forecast the next day aggregate production of scattered small rooftop solar photovoltaic systems without meteorological parameters

Energy reports, 2022-11, Vol.8, p.3221-3233

2022

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Effective and Safe Trajectory Planning for an Autonomous UAV Using a Decomposition-Coordination Method

Journal of intelligent & robotic systems, 2021-11, Vol.103 (3), p.50-50, Article 50

2021

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GPU parallel neural hierarchical multi objective solver for burst routing and wavelength assignment

Engineering applications of artificial intelligence, 2018-10, Vol.75, p.48-63

2018

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Challenges and Limitations of Artificial Intelligence Implementation in Modern Power Grid

Procedia computer science, 2024, Vol.236, p.83-92

2024

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Solving Nonlinear Equality Constrained Multiobjective Optimization Problems Using Neural Networks

IEEE transaction on neural networks and learning systems, 2015-10, Vol.26 (10), p.2500-2520

2015

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Performance prediction of parallel applications using artificial neuronal network and graph representation

Concurrency and computation, 2022-11

2022

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A Brief Review of Graph Convolutional Neural Network Based Learning for classifying remote sensing images

Procedia computer science, 2021, Vol.191, p.349-354

2021

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Multicast Routing Problem in Communication Networks: State of the Art

Journal of communications, 2019, p.408-422

2019

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Short-term nonlinear autoregressive photovoltaic power forecasting using statistical learning approaches and in-situ observations

International journal of energy and environmental engineering, 2019-06, Vol.10 (2), p.189-206

2019

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GPU Neural Mutli Objective Solver for Optical Burst Grooming

Procedia computer science, 2018, Vol.127, p.200-208

2018

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Safe and optimal navigation for autonomous multi-rotor aerial vehicle in a dynamic known environment by a decomposition-coordination method

Cognitive systems research, 2020-10, Vol.63, p.42-54

2020

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Mobile Robot Autonomous Navigation: A Path Planning Approach

IFAC-PapersOnLine, 2022, Vol.55 (12), p.610-615

2022

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Real-Time Dosimetry for Radiobiology Experiments Using 25 MeV LINAC

AIP conference proceedings, 2009, Vol.1099 (1), p.3-6

2009

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Trajectory Planning for a Four-Wheel Robot using Decomposition Coordination Principle (Extended Version)

International journal of computer science and information security, 2016-07, Vol.14 (7), p.265-265

2016

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An analog neural network implementation in fixed time of adjustable-order statistic filters and applications

IEEE transaction on neural networks and learning systems, 2004-05, Vol.15 (3), p.766-785

Mestari, M.

2004

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A Hybrid Approach of Wavelet Transform, Convolutional Neural Networks and Gated Recurrent Units for Stock Liquidity Forecasting

International journal of advanced computer science & applications, 2022, Vol.13 (9)

2022

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Predicting A search algorithm heuristics using neural networks

2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), 2021, p.1-12

2021

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An Artificial Neural Network Combined to Object Oriented Method for Land Cover Classification of High Resolution RGB Remote Sensing Images

Smart Applications and Data Analysis, p.221-232

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An Execution Time Comparison of Parallel Computing Algorithms for Solving Heat Equation

Smart Applications and Data Analysis, p.283-295

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Prediction of Stock Markets Using Deep Learning Architectures

Advances in Emerging Financial Technology and Digital Money, 2024, p.77-83

1, 2024

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A Model for Classification of Traffic Signs Using Improved Convolutional Neural Network and Image Enhancement

2020 Fourth International Conference On Intelligent Computing in Data Sciences (ICDS), 2020, p.1-8

2020

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Deep Reinforcement Learning Approach for Emergency Response Management

2022 International Conference on Intelligent Systems and Computer Vision (ISCV), 2022, p.1-7

2022

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Short-term solar power forecasting using Support Vector Regression and feed-forward NN

2017 15th IEEE International New Circuits and Systems Conference (NEWCAS), 2017, p.405-408

2017

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Graph Oriented Attention Networks

Generating A-Star Algorithm Admissible Heuristics Using a Dynamic Dataloader on Neural Networks, Enhanced With Genetic Algorithms, on a Distributed Architecture

Data driven approach to forecast the next day aggregate production of scattered small rooftop solar photovoltaic systems without meteorological parameters

Effective and Safe Trajectory Planning for an Autonomous UAV Using a Decomposition-Coordination Method

GPU parallel neural hierarchical multi objective solver for burst routing and wavelength assignment

Challenges and Limitations of Artificial Intelligence Implementation in Modern Power Grid

Solving Nonlinear Equality Constrained Multiobjective Optimization Problems Using Neural Networks

Performance prediction of parallel applications using artificial neuronal network and graph representation

A Brief Review of Graph Convolutional Neural Network Based Learning for classifying remote sensing images

Multicast Routing Problem in Communication Networks: State of the Art

Short-term nonlinear autoregressive photovoltaic power forecasting using statistical learning approaches and in-situ observations

GPU Neural Mutli Objective Solver for Optical Burst Grooming

Safe and optimal navigation for autonomous multi-rotor aerial vehicle in a dynamic known environment by a decomposition-coordination method

Mobile Robot Autonomous Navigation: A Path Planning Approach

Real-Time Dosimetry for Radiobiology Experiments Using 25 MeV LINAC

Trajectory Planning for a Four-Wheel Robot using Decomposition Coordination Principle (Extended Version)

An analog neural network implementation in fixed time of adjustable-order statistic filters and applications

A Hybrid Approach of Wavelet Transform, Convolutional Neural Networks and Gated Recurrent Units for Stock Liquidity Forecasting

Predicting A search algorithm heuristics using neural networks

An Artificial Neural Network Combined to Object Oriented Method for Land Cover Classification of High Resolution RGB Remote Sensing Images

An Execution Time Comparison of Parallel Computing Algorithms for Solving Heat Equation

Prediction of Stock Markets Using Deep Learning Architectures

A Model for Classification of Traffic Signs Using Improved Convolutional Neural Network and Image Enhancement

Deep Reinforcement Learning Approach for Emergency Response Management

Short-term solar power forecasting using Support Vector Regression and feed-forward NN

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