[PDF] Top 20 Autonomous Quadrotor Control Using Convolutional Neural Networks
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Autonomous Quadrotor Control Using Convolutional Neural Networks
... altitude control used in this thesis are based mainly on PID control which is modeled and simulated on MATLAB and ...To control the quadrotor behavior for two different tasks, Obstacle ... See full document
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Autonomous Quadrotor Control using Convolutional Neural Networks
... To control the quadrotor behavior for two different tasks, Obstacle Avoidance and Command by Hand Gesture, the use of Convolutional Neural Networks (CNN) was proposed, since this new ... See full document
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Autonomous and Real Time Rock Image Classification using Convolutional Neural Networks
... Figure 2.33: MobileNet splitting convolution layer into depth-wise convolution and point-wise convolutions. Image taken from [58]. to a task that is fairly di ff erent from the original one with which the network has ... See full document
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Implementation of Smartbin using Convolutional Neural Networks
... 3. Control the servo motors to redirect the waste in such a way that it falls into its respective ...controlled using GPIO ...Dropbox. Using the GPIO Pins of the Raspberry Pi, this module controls ... See full document
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Using Convolutional Neural Networks for Image Recognition
... Synaptic weights are learnable and control the influence of one neuron or another. The dendrites carry the signal to the cell body, where they all are summed. If the final sum is above a specified threshold, the ... See full document
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Biologically inspired flight : the autonomous control of a quadcopter using spiking neural networks
... their autonomous control should be ...the autonomous control of a flying drone using biologically inspired models is ...spiking neural network simulator able to interface with ... See full document
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Pattern Analysis, Tracking and Control for Autonomous Mobile Robots Using Neural Networks
... PERSONAL BIOGRAPHY Before earning a PhD in electrical and computer engineering from North Carolina State University in 1998, Jason A. Jan´ et received his MS in integrated manufacturing systems engineering from North ... See full document
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Marine Objects Recognition Using Convolutional Neural Networks
... caused by human activity. One way to limit the human activity is to detect endangered animals in real time and redirect activities to another location. This could be achieved by utilizing AI algorithms. AI could be ... See full document
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Head Pose Estimation Using Convolutional Neural Networks
... In [2] author proposes head pose estimation is based on Gabor eigenspace modeling. Gabor filter is used to enhance pose information and eliminate other distractive information like various face appearance or change in ... See full document
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Prediction of Electricity Usage Using Convolutional Neural Networks
... with the purpose of researching new techniques for prediction of electricity usage. They have also provided with all of the user data used in this thesis. Electricity generated by the power plants has to be equal to the ... See full document
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Speech Emotion Recognition using Convolutional Neural Networks
... greater control compared with using daily-life ...of convolutional neural networks in classifying speech emotions using acted speech databases within and across four different ... See full document
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3D pose estimation using convolutional neural networks
... Other approaches, such as Vicon [33] and similars, present excellent results based on infrared cameras and high-frequency systems, but nevertheless are limited to indoor environments, where lighting conditions are under ... See full document
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Localization Using Convolutional Neural Networks
... Introduction With the increased accessibility to powerful GPUs, ability to develop machine learning algorithms has increased significantly. Coupled with open source deep learning frameworks, average users are now able to ... See full document
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Pneumonia Detection Using Convolutional Neural Networks
... problem. Convolutional Neural Network is optimized to perform the complicated task of detecting diseases like pneumonia to assist medical experts in diagnosis and possible treatment of the ...VGGNet ... See full document
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Fungus Detection using Convolutional Neural Networks
... detection using convolutional neural networks in order to identify whether the given classes of fungus is normal or ...websites. Using this dataset, we are applying transfer learning ... See full document
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Target Detection using Convolutional Neural Networks
... impressive 500k and 405k cropped image patches respectively. However the labeled classes are general land biomes, with the SAT-4 dataset having 4 categories: barren land, trees, grassland, and all other land. The SAT-6 ... See full document
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Visual Odometry using Convolutional Neural Networks
... agent using only onboard visual sensors [4], ...[9]. Convolutional Neural Networks have had great success in extracting complicated image features and performing well on robust object ... See full document
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Using Convolutional Neural Networks to Classify Hate Speech
... and neural network archi- tectures could be extended in several ways: The word2vec embeddings used here were built on skip-grams that predict the context words using the current ... See full document
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Facial Expression Detection using Convolutional Neural Networks
... En el primer capítulo, se da una visión teórica sobre los elementos que conforman una red neuronal convolucional, partiendo desde la unidad más pequeña, la neurona[r] ... See full document
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Emotion recognition using autoencoders and convolutional neural networks
... layers: convolutional layers, pooling layers and fully-connected layers, each one with their own ...the convolutional layers, several kernels convolve, ...a convolutional layer in order to reduce ... See full document
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