Use of Data Mining Techniques to Detect Fraud in Procurement Sector حسب AL HAMMADI, SUMAYYA ABDULLA

"…The method used in this research is a classification of models and algorithms used in data mining. All techniques also will be studied; they include clustering, tracking patterns, classifications and outlier detection. …"
احصل على النص الكامل

Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques حسب Abdul Karim (417009)

"…This conclusion was achieved after preprocessing a number of data values from these data sets.</p><h2>Other Information</h2><p dir="ltr">Published in: Algorithms<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/a13080202" target="_blank">https://dx.doi.org/10.3390/a13080202</a></p>…"

Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility حسب Islambouli, Rania

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy حسب Haitao Xu (435549)

"…The trained MLPNN by the LM algorithm predicts 239 laboratory-measured data sets about the methanol (MeOH) loss with the absolute average relative deviation of 6.4% and regression coefficient of 0.9643. …"

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

"…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"

A Highly Efficient And Automated Approach To Identifying And Classifying Urban Traffic Images Using Self Organizing Maps and Artificial Intelligence. (c2006) حسب Bey, Hisham Mardam

احصل على النص الكامل
احصل على النص الكامل

A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011) حسب Kozhaya, David Elias

احصل على النص الكامل
احصل على النص الكامل

ELISSAR. (c1997) حسب Nasreddine, Diana M.

احصل على النص الكامل
احصل على النص الكامل

Improving Rule Set Based Software Quality Prediction حسب Azar, Danielle

احصل على النص الكامل
احصل على النص الكامل

A Fuzzy Low-Dimensional Intersection Graph Representation Approach for Graph Compression and Anonymization حسب Yamout, Youssef

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems حسب Majdi Mansouri (16869885)

Degree-Based Network Anonymization حسب Halawi, Ola

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System حسب Abu Zitar, Raed

"…It is believed that the evaluation of the outcomes of the course, based on grades, is necessary to improve the teaching and learning process. Our research processes and workflows supported by AI utilize machine learning technology in order to interpret big data, analyze broad data sets and recognize associations with more reliably. …"
احصل على النص الكامل
احصل على النص الكامل

On the periodic hierarchical Chinese postman problem حسب Muhammed Emre Keskin (19457413)

Learning-Based Space-Time Adaptive Processing حسب El Khatib, Alaa

احصل على النص الكامل

Identifying Regional Trends in Avatar Customization حسب Peter Mawhorter (18602944)

الموضوعات:

Optimizing Energy Consumption of Cloud Computing IaaS حسب Mohamed, Huda Ibrahim

احصل على النص الكامل

On-site workshop investment problem: A novel mathematical approach and solution procedure حسب Nima Moradi (19418821)

A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT حسب Dhananjay Bisen (19482454)

Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark حسب Ameema Zainab (16864263)

"…The paper proposes a concurrent job scheduling algorithm in a multi-energy data source environment using Apache Spark. …"