[PDF] Top 20 A Hybrid Approach for Water Utilization in Smart Cities Using Machine Learning Techniques
Has 10000 "A Hybrid Approach for Water Utilization in Smart Cities Using Machine Learning Techniques" found on our website. Below are the top 20 most common "A Hybrid Approach for Water Utilization in Smart Cities Using Machine Learning Techniques".
A Hybrid Approach for Water Utilization in Smart Cities Using Machine Learning Techniques
... of water is a major challenge in the modern distribution ...the water if not it leads to major loss not only in terms of money but also the ...drinking water facility and nearly 160 million people ... See full document
6
Advanced and Smart Heart Disease Prediction using Hybrid Machine Learning Techniques
... Graph 9.1: Total number of heart disease type Conclusion In this technique, we have anticipated heart disease detection by using fusion of machine learning techniques ANN and SVM for accurate ... See full document
7
Machine Learning techniques for energy consumption forecasting in Smart Cities scenarios
... other cities, to verify if it would forecast as well as for this ...build machine learning models, using LSTM, on other types of data from smart cities, such as data related to ... See full document
15
Robust leak localization in water distribution networks using machine learning techniques
... are techniques such as Backward Feature Selec- tion (BFS) ( Guyon and Elisseeff , 2003 ), Random Forest (RF) ( D´ıaz-Uriarte and De Andres , 2006 ) and, in general, Evolutionary Algorithms (EA) ( Xue et ...the ... See full document
211
Hybrid Approach for IDS using FGA and Machine Learning
... Our approach concentrated on building normal traffic profile of the anomaly detection ...ensemble approach implementation we got a ids system can achieve better detection rate for all attacks as well as ... See full document
7
Genre detection of documents using hybrid techniques of machine learning
... The system was introduced to label or categorize the unknown or unlabelled documents. This system has 5 predefined categories. The system is trained for categorizing the document using some specific keywords. Each ... See full document
5
Reinforcement machine learning for predictive analytics in smart cities
... of Smart Cities should focus on the provision of novel ICT solutions to enhance the adopted ...Current Smart Cities initiatives involve the distribution of numerous devices in various ... See full document
27
Two-Level Text Classification Using Hybrid Machine Learning Techniques
... 21 Chuang et al. (2000) focused on the speed of hierarchical classification and conducted their experiments on a collection of web pages consisting of 200 news items on professional baseball and basketball. They used a ... See full document
205
Machine-to-Machine Communications in Smart Cities
... • Energy Management System (EMS): Aggregator at the distribution system • Token: Smallest unit of transaction • Local buffers at homes and offices M.Erol-Kantarci, J.H. Sarker, H. T. Mouftah, “Energy Routing in the ... See full document
31
A Machine Learning Approach for Detecting Unemployment using the Smart Metering Infrastructure
... and utilization are revolutionizing the way consumers and utility providers ...by smart meters as part of the wider advanced metering infrastructure, can be valuable for third parties, such as government ... See full document
13
Thyroid Disease Prediction Using Hybrid Machine Learning Techniques: An Effective Framework
... 3 BACKGROUND A SUPPORT VECTOR MACHINE: This section gives the description of SVM. Complete details of the SVM can be found in literature [26]. SVM helps the researchers in performing the analysis in a precise way. ... See full document
7
Using Machine Learning Techniques for Stylometry
... remaining 17 samples were used for testing. This testing is also used to decide the architecture of the network. After that, on the chosen network, cross validation was done by using different test sets. There was ... See full document
7
Water demand forecasting using machine learning on weather and smart metering data
... example as follows. For an extreme measurement of a variable, e.g. an unusually high daily temperature, it is unlikely that a second measurement will result in a similar or higher value. The most likely scenario is that ... See full document
174
On-line Handwritten Signature Verification using Machine Learning Techniques with a Deep Learning Approach
... first approach was to add zeros on the shorter signature until they were the same ...This approach was abandoned when it was discovered that the models needed a standardized signature length to handle the ... See full document
90
PREDICT ARRIVAL TIME BY USING MACHINE LEARNING ALGORITHM TO PROMOTE UTILIZATION OF URBAN SMART BUS
... iv. Machine Learning Model Machine learning is a technique for computers to learn how to do certain tasks without being explicitly ...the machine to learn and make use of complex ... See full document
18
Smart Cities using Internet of Things: Recent Trends and Techniques
... as Smart Cities by IBM Company ...the cities are totally dependent on these applications from money transfer to food delivery to traffic control to AC temperature ... See full document
5
ENHANCE DATA SECURITY IN CLOUD COMPUTING USING MACHINE LEARNING AND HYBRID CRYPTOGRAPHY TECHNIQUES
... In machine learning field, the data classification is a method of distinguishing the category of unclassified data sample set with the help of build ...a hybrid re-encryption model based on index ... See full document
5
A MACHINE LEARNING APPROACH FOR UNDERSTANDING GPA WITH STUDENTS’ EXPERIENCE USING HYBRID ALGORITHM
... class machine learning systems to develop and approve a prescient model of GPA exclusively dependent on an arrangement of self-administrative learning practices decided in a moderately little example ... See full document
8
A Hybrid Machine Learning Approach for Credit Scoring Using PCA and Logistic Regression
... Redundancy increases the relation among the features and will make features to be strongly depended on each other. Dimension reduction improves the verification process when selecting the features because after the ... See full document
19
Prediction of Crop Production through Hybrid Approach using Machine Learning Algorithms
... The agro-food sector faces numerous Problems. If in 2018 the population of the planet was 7.6 billion people, then by 2050 it is, according to preliminary estimates, exceed 9.6 billion, which will lead to a significant ... See full document
8
Related subjects