Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey حسب Faria Nawshin (21841598)

Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV حسب Zulkifli, Muhammad

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Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles حسب Zainab Akhtar (15192184)

"…Neural network-based methods tackle these problems by accurately approximating unknown nonlinearities through training on input-output data. This paper proposes an adaptive Multi-layer Neural Network (MLNN) Luenberger observer-based control for altitude and attitude tracking of a quadrotor UAV. …"

Short-Term Load Forecasting in Active Distribution Networks Using Forgetting Factor Adaptive Extended Kalman Filter حسب Mena S. ElMenshawy (17983807)

"…A few research studies focused on developing data filtering algorithm for the load forecasting process using approaches such as Kalman filter, which has good tracking capability in the presence of noise in the data collection process. …"

Portable Electromagnetic Surface Profiling System حسب Al Homssi, Bassel Mohamad

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Establishing Autonomous AUS-Quadrotor حسب Al Younes, Younes

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An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

"…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. …"
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Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements حسب Emara-Shabaik, Husam

"…The model structure is made up of two linear dynamic elements separated by a nonlinear static one. The nonlinear element is assumed to be of the polynomial type with known order; The identification is based on input/output data where the output is contaminated with measurement noise. …"
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Application of Data Mining to Predict and Diagnose Diabetic Retinopathy حسب Haniyeh, Maryam

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AI-based remaining useful life prediction and modelling of seawater desalination membranes حسب Al Ali, Fajer

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CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children حسب Jayakanth, Kunhoth

"…Three machine learning algorithms support vector machine (SVM), AdaBoost, and Random forest are employed to assess the performance of the CNN features and fused CNN features. …"
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Online Control and Optimization of Directional Drilling حسب unknown

"…The objective function considered is to minimize the tracking error and drilling efforts. Detailed mathematical formulation and computer simulation were used for evaluation of the performance of the proposed techniques for both systems, based on real well data.…"
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A survey and comparison of wormhole routing techniques in a meshnetworks حسب Al-Tawil, K.M.

"…Although an extremely wide number of routing algorithms have been proposed and implemented in hardware and software, it is difficult for the designer of a multicomputer to choose the best routing algorithm given a particular architectural configuration. …"
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CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children حسب Jayakanth Kunhoth (14158908)

"…Three machine learning algorithms support vector machine (SVM), AdaBoost, and Random forest are employed to assess the performance of the CNN features and fused CNN features. …"

Structural similarity evaluation between XML documents and DTDs حسب Tekli, J.

"…The automatic processing and management of XML-based data are ever more popular research issues due to the increasing abundant use of XML, especially on the Web. …"
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Data mining approach to predict student's selection of program majors حسب SIDDARTHA, SHARMILA

"…The purpose of this study is to develop a data mining approach for predicting student's selection of program majors. …"
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A forward-backward Kalman for the estimation of time-variant channels in OFDM حسب Al-Naffouri, T.Y.

"…In this paper, we propose an expectation-maximization (EM) algorithm for joint channel and data recovery. The algorithm makes use of the rich structure of the underlying communication problem-a structure induced by the data and channel constraints. …"
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An EM-Based Forward-Backward Kalman Filter for the Estimation of Time-Variant Channels in OFDM حسب Al-Naffouri, T.Y.

"…In this paper, we propose an expectation-maximization algorithm for joint channel and data recovery in fast fading environments. …"
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Behavior-Based Machine Learning Approaches to Identify State-Sponsored Trolls on Twitter حسب Saleh Alhazbi (16869960)

"…Based on these features, we developed four classification models to identify political troll accounts, these models are based on decision tree, random forest, Adaboost, and gradient boost algorithms. …"

Modeling and thermoeconomic analysis of new polygeneration system based on geothermal energy with sea water desalination and hydrogen production حسب Wulaer Shaersaikai (21436652)

"…<p>In order to maximize heat recovery through cascading processes, this study presents the development of an advanced polygeneration system that combines liquefied natural gas (LNG) and geothermal power generation. …"