[PDF] Top 20 Who s a Good Boy? Reinforcing Canine Behavior using Machine Learning in Real-Time
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Who s a Good Boy? Reinforcing Canine Behavior using Machine Learning in Real-Time
... transfer learning as a way to fine-tune larger models trained on ImageNet and improve generalization for our ...then using a dense layer with the ReLU activation, followed by dropout with a probability of ... See full document
8
Heart Disease Detection by Using Machine Learning Algorithms and a Real Time Cardiovascular Health Monitoring System
... sapience, time and ...disease using Machine learn- ing ...efficient machine learning technique should be used which had been derived from a distinctive analysis among several ... See full document
20
Twitter Spam Detection on Real Time Data using Machine Learning Algorithms
... a real-time URL spam filtering” in this paper, service Monarch is a real-time system for filtering scam, phishing, and malware URLs as they are submitted to web ... See full document
5
Real-time Intrusion Detection using Multidimensional Sequence-to-Sequence Machine Learning and Adaptive Stream Processing
... network behavior can be defined as an intentional violation of the expected sequence of ...a real-time network-based IDS, incoming packets are treated as a stream of ...detection using ... See full document
94
DeepBus: Machine learning based real time pothole detection system for smart transportation using IoT
... over time along the same three axes: Gx, Gy, and ...written using Python and loaded on to the Raspberry Pi to collect these data points and the state of the button (0 or 1), which is saved in a ... See full document
6
Real Time Sentiment Analysis of Political Twitter Data using Machine Learning Approach
... Extensive consideration has been given as of now to the exploitation of big datasets generated by the users through social media platforms with which social behavior of the people can be identified. In order to ... See full document
6
A new Internet of Things architecture for real-time prediction of various diseases using machine learning on big data environment
... Therefore, designing a distributed data system to deal with big data faces three main challenges: First, due to the heterogeneous and huge volume of data, it is difficult to col- lect data from distributed locations. ... See full document
25
Using machine learning for real-time estimates of snow water equivalent in the watersheds of Afghanistan
... Two machine learn- ing techniques – bagged regression trees and feed-forward neural networks – produced similar mean results, with 0– 14 % bias and 46–48 mm RMSE on ... See full document
16
DETECTION OF DRIVER SLEEPINESS AND WARNING THE DRIVER IN REAL-TIME USING IMAGE PROCESSING AND MACHINE LEARNING TECHNIQUES
... by using the im- age processing techniques and machine learning algorithms in order to detect the driver’s drowsi- ness and to warn the driver, driver’s drowsiness was detected in real ... See full document
8
Stock Market Forecasting Using Machine Learning
... of real time analysis of stock price trend by using a transformed data set in ordinal data ...on time series analysis from machine learning ...on using univariate ... See full document
11
Real-time Scheduling of a Flexible Manufacturing System using a Two-phase Machine Learning Algorithm
... online learning possible, and fed as inputs to the ...of time component cannot be ...the time horizon of shop simulation is T, then it is required that period T is decomposed into equal units of T/n ... See full document
10
Application of Machine Learning Techniques for Real-time Classification of Sensor Array Data
... CART using the training dataset, with no application of additional features such as tree pruning and splitting, yielded the decision tree shown in Figure ... See full document
85
Musculoskeletal Physiotherapy using Artificial Intelligence and Machine Learning
... framework using Artificial Intelligence and Machine Learning for providing users with a digitalized system for ...By using Open Pose Library our system will detect angle between the joints and ... See full document
7
Real Time Eye Gaze Detection Using Machine Learning Techniques
... by using a training set of labeled facial landmarks on an ...data, using the pixel intensities, an ensemble of regression trees are trained to estimate the facial landmark positions ... See full document
6
Smart Stick for Blind using Machine Learning
... The given model has supersonic device and water sensor hooked up thereto. If any of the device is triggered then the there'll be vibration. The blind man just in case if he's any emergency will endure the emergency ... See full document
7
Identifying Real Estate Opportunities Using Machine Learning
... Distribution of the median average error based on the different parameters for the ensembles of regression trees. Figure 10[r] ... See full document
20
Real Estate Investment Advising Using Machine Learning
... A decision tree is built using the top-down approach starting from a root node and at each stage the data is partitioned into subsets that contain instance with similar values. Each internal (non-leaf) node in the ... See full document
5
How do we train Data Scientists and Data Engineers?
... Data Science for Social Good @datascifellows • Deep expertise in computer science, machine learning, statistics, or social sciences • Experience working on real problems in industr[r] ... See full document
52
Predicting demand of replacement cars for breakdown cases using machine learning techniques
... the time interval, product type and spatial aggregation are the most relevant to our ...the time interval, we used daily aggregate of the data as required for the planning activity that becomes the focus of ... See full document
25
Development of a Vibration Signal Data Acquisition System for Fault Diagnosis of a Machine
... In turning operation checking the tool vibration is very important for the machined part. Occurrence of vibration exceeding the permissible limit may have adverse effect on the cutting tool and surface finish and the ... See full document
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