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. …"

Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network حسب Mohammad Reza Chalak Qazani (13893261)

"…Computational techniques, like the finite element method, are used to analyse behaviours based on varied input parameters. …"

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

Parametric Estimation From Empirical Data Using Particle Swarm Optimization Method for Different Magnetorheological Damper Models حسب Asan G. A. Muthalif (16888818)

ELISSAR. (c1997) حسب Nasreddine, Diana M.

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 based approaches for intelligent adaptation and prediction in banking business processes. (c2018) حسب Tay, Bilal M.

"…Companies, nowadays, rely on systems and applications to automate their business processes and data management. In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Topics in graph algorithms حسب Abu-Khzam, Faisal Nabih

"…This is achieved by implementing some algorithms for the vertex cover problem, and conducting experiments on real data sets. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

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:

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. …"

VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems حسب Hisham A. Kholidy (18891802)

Fuzzy Logic Based Patients' Monitoring System حسب Al-Dmour, Jumana

احصل على النص الكامل

Practical Multiple Node Failure Recovery in Distributed Storage Systems حسب Itani, M.

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

Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data حسب Rajesh Kumar Dhanaraj (19646269)

"…In addition, for grouping similar antipatterns, a clustering process was performed to eradicate the design errors. …"

Severity-Based Prioritized Processing of Packets with Application in VANETs حسب Ala Al-Fuqaha (4434340)

"…In this study, we propose a generic prioritization and resource management algorithm that can be used to prioritize processing of received packets in vehicular networks. …"