[PDF] Top 20 Using Machine Learning to Improve the Performance of Flying Networks
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Using Machine Learning to Improve the Performance of Flying Networks
... without the use of ML techniques are described in section ...on the use of attractive and repulsive forces to control the UAVs ...in the referenced article. These types ... See full document
123
Prediction of toxicity-generating news using machine learning
... classifier to predict news articles to be prone to generating incivility, providing more detail in their approach in [ 81 ...]. The authors follow the incivility definition of ... See full document
101
Using customer lifetime value and neural networks to improve the prediction of bank deposit subscription in telemarketing campaigns
... reported the research for a data mining approach to predict the success of telemarketing to sell bank deposits ...[20]. The goal for this problem was to reduce the ... See full document
18
A machine learning approach to the optimization of inventory management policies
... applied to the search for the closed-form expressions of each inventory-control policy parameter that would give us the nearest-to-optimal ...manages to surpass Zheng’s ... See full document
67
Feature selection for speech emotion recognition in Spanish and Basque: on the use of machine learning to improve human-computer interaction.
... over the crossvalidated datasets using the MLC++ library ...corresponds to a single ...first the initial 32 features have been employed; then, the second set of 91 new ... See full document
23
Risk assessment of atmospheric emissions using machine learning
... in the atmospheric sciences can be found in Gard- ner and Dorling ...neural networks to improve model forecasts of tornadoes, wind predictions, precipitation and rare ...gorithms ... See full document
10
Digital mapping of soil attributes using machine learning
... Mapping the chemical attributes of the soil on a large scale can result in gains when planning the use and occupation of the ...whose performance should be tested for ... See full document
10
Teamwork: improved eQTL mapping using combinations of machine learning methods.
... favor of the proposed algorithm [29]. A key aspect of the DREAM challenges is that the ‘ground truth’ data is obscured from the participants [29], resulting in a more objective ... See full document
8
Information retrieval using machine learning for database curation
... part of the work focused on using the results from the queries and the list of relevant articles to train ML models to retrieve a subset of relevant ... See full document
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Predicting the secondary structure of proteins using Machine Learning algorithms
... with the Machine Learning algorithms are shown in Tables ...4–9. The results presented show high values of accuracy with a minimum of ...in the prediction of ... See full document
14
Introducing the Learning Scorecard: a tool to improve the student learning experience
... In the LS, students are divided into classes according to their ...encouraged to learn to earn experience points, and increase their game ...example of the entry page of ... See full document
10
High-performance Scientific Computing using Parallel Computing to Improve Performance Optimization Problems
... requirements of computing resources have determined two di- rections of ...On the one hand, the massive parallel supercomputers which have constituted a material basis for some research ... See full document
12
Twitter Sentiment Analysis of Movie Reviews using Machine Learning Techniques.
... With the increase in the popularity of social networking, micro-blogging and blogging websites, a huge quantity of data is ...that the internet is the collection of ... See full document
7
Introducing the Learning Scorecard: a tool to improve the student learning experience
... In the LS, students are divided into classes according to their ...encouraged to learn to earn experience points, and increase their game ...example of the entry page of ... See full document
10
Utilizing Directional Antennas and Graph based Interference Models to Improve the Performance of Wireless Mesh Networks
... propose the improved attacking case metric to quantize the severity of in- terference in IEEE ...wireless networks consisting of nodes using ...proposed the ... See full document
210
Automatic Habitat Mapping using Machine Learning
... task to manage ecosystems. This task becomes most challenging when it comes to marine habitats as it is hard to get good images in underwater ...order to do habitat mapping in a vast coastal ... See full document
101
Topology control flying backhaul networks
... cell to adjacent ones in 4G / LTE networks using UAVs has been presented as a simple and deployable solution, adequate for temporary situations [ 4 ], such as cell saturation and outage compensation, ... See full document
96
Predicting the behaviour of water distribution networks with machine learning models
... expected to have running water all the ...water to meet their clients demands and face large cost-efficiency problems re- lated to pumping ...solution to this problem using ... See full document
13
March madness prediction using machine learning techniques
... kind of everyday tasks are the major challenges in modern computer ...in the 90s, ALVINN, a backpropagation network, was developed to autonomously control a Chevy van by watching a human ... See full document
60
Humanoid Low-Level Skills using Machine Learning for RoboCup
... type of kicks are an extremely useful skill to learn. By being able to kick the ball without first coming to a full-stop, not only is it possible to perform the kick ... See full document
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