Real Time Machine Learning
Real-Time Quality Control and Infilling of Precipitation Data Using Neural Networks
... a real-time machine learning algorithm for the automated detection/correction of erroneous data and reconstruction of missing values in a precipitation data collection and processing system ...
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A new Internet of Things architecture for real-time prediction of various diseases using machine learning on big data environment
... Applying machine learning on this big data stream is challeng- ing as the traditional machine learning systems are not suitable to handle such massive volume or varied ...involve ...
25
A Real-Time Automatic Method for Target Locating Under Unknown Wall Characteristics in through -Wall Imaging
... the learning speed, an emergent neural network technology called the extreme learning machine (ELM) has recently become increasingly ...ELM learning approach can be applied to SVMs directly by ...
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Use of Decision Trees and Attributional Rules in Incremental Learning of an Intrusion Detection Model
... a Learning Classifier System (LCS) to produce interpretable ...allows learning new attack and normal behavior patterns by interacting with a security ...a real-time IDS using Self Organizing ...
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A real-time BOD estimation method in wastewater treatment process based on an optimized extreme learning machine
... the real-time online measurement data for biochemical oxygen demand (BOD) in wastewater treatment ...extreme learning machine (ELM) based on an improved cuckoo search algorithm (ICS) is ...
11
Toward Instantaneous Facial Expression Recognition Using Privileged Information
... build real-time and robust ...Extreme Learning Machine to solve the speed issue, combined with the use of privileged information to improve the testing time and the reduction of the ...
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Real-time Intrusion Detection using Multidimensional Sequence-to-Sequence Machine Learning and Adaptive Stream Processing
... a real-time network-based IDS, incoming packets are treated as a stream of ...a real-time environment simulated from the CICIDS 2017 ...
94
DETECTION OF DRIVER SLEEPINESS AND WARNING THE DRIVER IN REAL-TIME USING IMAGE PROCESSING AND MACHINE LEARNING TECHNIQUES
... in real-time using image processing and machine learning ...Five machine learning algorithms were evaluated with four volunteer’s eye image data set obtained from driving ...for ...
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Hadoop based Parallel Machine Learning Algorithms for Intrusion Detection System
... hardware. Machine Learning algorithms are highly utilized in the field of Spam Filtering and the Intrusion ...the Machine Learning Algorithms gives better interpretation towards various types ...
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Heart Disease Detection by Using Machine Learning Algorithms and a Real Time Cardiovascular Health Monitoring System
... Vector Machine is the most efficient algorithm to be implemented on the heart disease prediction system as found in our study when the 13 fea- tures were ...various machine learning algorithms, it ...
20
Real Time Sentiment Analysis of Political Twitter Data using Machine Learning Approach
... Proposed system performs an effective sentiment analysis on political reviews of population collected from Twitter. Supervised machine learning technique is used for classification purpose. Sentiment ...
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ABSTRACT: After studying multiple research papers on machine learning and real time hand gesture recognition
... on machine learning and real time hand gesture recognition many systems worked only on sign recognition for number generation and sign recognition for A-Z alphabet generation ...
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Optimization Of Rate Of Penetration With Real Time Measurements Using Machine Learning And Meta-Heuristic Algorithm
... This section describes the implementation of artificial neural network to model ROP from the surface drilling parameters. The ANN concept of data processing was inspired from biological neural system in human brains. A ...
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Real-time Scheduling of a Flexible Manufacturing System using a Two-phase Machine Learning Algorithm
... [21], Machine learning is basically taken to fully reflect the real-time information of production scheduling based on knowledge gaining from system ...to machine learning ...
10
A real-time phenotyping framework using machine learning for plant stress severity rating in soybean
... To enable high throughput phenotyping using the devel- oped classifier, we embed the preprocessing stage as well as the classifier into an easy to use GUI that is deploy- able as a smartphone app. This app is supported ...
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Short term prediction and visualization of parking area states in real time : a machine learning approach
... in real- time than the standalone FFNN did on the historical test ...current real-time system still delivers predictions with a very high quality: the MASE is 0 ...the real-time ...
87
Multiple Architectural Approach for Urban Development Using Wearable IoT Devices: A Combined Machine Learning Approach
... Machine learning in real-time scenario plays a crucial role and we need to con- centrate on how to improve the technical architecture for the security systems with high level data transmission ...
12
Real Time Eye Gaze Detection Using Machine Learning Techniques
... Drowsiness and exhaustion of vehicle drivers reduce the driver's abilities to control the vehicle, his natural reflex, and perception. Such diminished vigilance level of drivers is observed at night driving or prolonged ...
6
Application of Machine Learning Techniques for Real-time Classification of Sensor Array Data
... The objective of this study is to compare the predictive accuracy of six of the more popular classifiers used in the scientific community on a multi-channel chemical sensor array dataset: K-Nearest Neighbor (KNN), ...
85
Real Time Student Surveillance System Using Machine Learning and Computer Vision
... in Machine Learning and Computer Vision ...that time limited the accuracy, but during 1991, a major breakthrough was achieved by Eigenfaces approach ...
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