-
1
Intelligent Energy Consumption for Smart Homes using Fused Machine Learning Technique
Published 2021“…The proposed research developed a model by using the data fusion approach to predict energy consumption in terms of accuracy and miss rate. …”
Get full text
-
2
Intelligent Energy Consumption For Smart Homes Using Fused Machine-Learning Technique
Published 2022“…The proposed research developed a data fusion model to predict energy consumption for accuracy and miss rate. …”
Get full text
Get full text
-
3
Data collection in wireless sensor networks using UAV and compressive data gathering
Published 2019“…This paper proposes a novel data collection technique using Unmanned Aerial Vehicles (UAVs) in dense wireless sensor networks (WSNs) using projection-based Compressive Data Gathering (CDG) as a solution methodology. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
4
Colon cancer classification using microarray data
Published 2010“…A thesis presented on the classification of cancerous and normal tissue samples using microarray data. In treating cancer time is of the essence and early detection can dramatically increase the chances of survival. …”
Get full text
-
5
-
6
Data-Driven Decision-Making: How is data used for decision-making in public schools in Dubai?
Published 2009“…The word data means factual information such as measurements or statistics that are used as a basis for reasoning, discussion, or calculation. …”
Get full text
-
7
-
8
Improvement of Dialysis Dosing Using Big Data Analytics
Published 2021“…A Master of Science thesis in Biomedical Engineering by Syeda Leena Mumtaz entitled, “Improvement of Dialysis Dosing Using Big Data Analytics”, submitted in April 2021. …”
Get full text
doctoralThesis -
9
Predicting Mobile Game Success Using Data Analytics
Published 2017“…This study addresses these challenges through data driven research of the mobile gaming application market, mobile gaming application features, user acquisition and retention trends, and monetization strategies using the CRISP-DM model for data mining in order to prove a successful method for predictions of mobile game application success. …”
Get full text
-
10
-
11
Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation
Published 2022“…We describe our differentially-private model with flexible constraints and a dynamic window algorithm to maintain the privacy-budget loss in infinitely generated time-series data. Our experimental results show a possible decrease in data perturbation error by 51.7% and 61.2% for smart meters and fog-computing data aggregators perturbed data, respectively, compared to the commonly used Gaussian mechanism.…”
-
12
PERMEABILITY PREDICTION USING MERCURY INJECTION CAPILLARY PRESSURE DATA
Published 2020Get full text
masterThesis -
13
LOW-MAGNITUDE SEISMIC DATA AUGMENTATION USING DEEP LEARNING
Published 2020Get full text
masterThesis -
14
GROUPING ASSOCIATION RULES USING CLUSTERING TECHNIQUES IN BIG DATA
Published 2020Get full text
masterThesis -
15
A method for data path synthesis using neural networks
Published 2017Get full text
Get full text
Get full text
Get full text
conferenceObject -
16
Indexing Arabic texts using association rule data mining
Published 2019“…The auto-indexing method extracts new relevant words by using data mining rules, which has not been investigated before. …”
Get full text
Get full text
Get full text
Get full text
article -
17
Monitoring oil spill in Norilsk, Russia using satellite data
Published 2022“…We monitored the snow, ice, water, vegetation and wetland of the region using data from the Multi-Spectral Instruments (MSI) of Sentinel-2 satellite. …”
-
18
An efficient approach for textual data classification using deep learning
Published 2022“…<p dir="ltr">Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset training data. …”
-
19
Using big data safety analytics for proactive traffic management
Published 2015“…These projects deal with applications of big data analytics in safety and operation. The speech shows examples of UCF research using big data in safety analysis, adverse weather conditions and safety planning. …”
-
20
Mapping socioeconomic indicators using social media advertising data
Published 2020“…They come with a set of 232 indicators against which countries should regularly monitor their progress, ensuring that everyone is represented in up-to-date data that can be used to make decisions to improve people’s lives. …”
