Partial grid false data injection attacks against state estimation by Margossian, Harag

“…The addition of an external communication layer to the power system has left it vulnerable to cyberattacks. False data injection (FDI) can be used to manipulate measurements that are used to estimate the state of the power system. …”
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Modified Particle Filters for Detection of False Data Injection Attacks and State Estimation in Networked Nonlinear Systems by Nargess Sadeghzadeh-Nokhodberiz (16904952)

“…<p>Networked control systems which transfer data over communication networks may suffer from malicious cyber attacks by injecting false data to the transferred information. …”

Preprocessing Techniques for End-To-End Trainable RNN-Based Conversational System by Maziad, Hussein

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Sentiment Mining of Arabic Twitter Data by Ahmed, Soha Galalaldin Khider

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

“…This conclusion was achieved after preprocessing a number of data values from these data sets.…”

A Machine Learning Based Framework for Real-Time Detection and Mitigation of Sensor False Data Injection Cyber-Physical Attacks in Industrial Control Systems by Mariam Elnour (14147790)

“…A MATLAB/Simulink-based simulation model of the process validated with actual data from a local plant is used. …”

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

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

Unsupervised outlier detection in multidimensional data by Atiq ur Rehman (14153391)

“…<p>Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. …”

A Multi-Faceted Approach to Trending Topic Attack Detection Using Semantic Similarity and Large-Scale Datasets by Insaf Kraidia (19198012)

“…A novel data augmentation technique further enriched the quality and diversity of these datasets. …”

Site-Adaptation of Modeled Solar Radiation Data: The SiteAdapt Procedure by Carlos M. Fernández-Peruchena (18558904)

“…This work presents a procedure for improving the accuracy of modeled solar irradiance series through site-adaptation with coincident ground-based measurements relying on the use of a regression preprocessing followed by an empirical quantile mapping (eQM) correction. …”

A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models by Osama Bassam J. Rabie (21323741)

“…Moreover, the DBRF classification model is deployed to categorize the normal and attacking data flows using optimized features. Here, the proposed DRF-DBRF security model's performance is validated and tested using five different and popular IoT benchmarking datasets. …”

Developing Privacy Frameworks for Motion Sensor Data in Next-Generation Wearable Devices by Ahmed, Ragad Moustafa

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An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study by Ayman Hassan (14426412)

“…</p><h3>Methods</h3><p dir="ltr">Using historical data (2008-2020), an accurate prediction model using machine learning methods was developed and incorporated into a mobile app. …”

Privacy-Preserving Distributed IDS Using Incremental Learning for IoT Health Systems by Aliya Tabassum (16896486)

“…Extensive experiments with standard data sets and real-time streaming IoT traffic give encouraging results.…”

Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection by Sulaiman Khan (12585349)

“…Moreover, we used preprocessing techniques before the classification task for underwater image enhancement, segmentation, noise and fog removal, restoration, and color constancy.…”

Non-Linear Profile Monitoring Using Artificial Neural Network Fault Detection by Mohamed, Ahmed Fares

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Novel Evasion Attacks Against Adversarial Training Defense for Smart Grid Federated Learning by Atef H. Bondok (19482352)

“…After that, we introduce three novel attacks, namely Distillation, No-Adversarial-Sample-Training, and False-Labeling, which can be launched during the AT process to make the global model susceptible to evasion at inference time. …”

Study of the Impact of Land Use and Land Cover (LULC) Changes on local climate in Six Mega Global Cities in the 21st Century by Sabobeh, Lara Ali

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Sensor-based Continuous Arabic Sign Language Recognition by Tubaiz, Noor Ali

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Driver stress level detection using HRV analysis by Munla, Nermine

“…In our study, the ECG signal of the driver is extracted and preprocessed in order to perform the HRV analysis. This analysis is accomplished using one of the domain analysis approach such as time, frequency, time-frequency or non-linear methods including Wavelet and STFT. …”
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