Nonlinear analysis of shell structures using image processing and machine learning حسب M.S. Nashed (16392961)

"…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"

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

"…The Nonnested Generalized Exemplars (NNGE) algorithm is one of the most accurate classification techniques that can work with such data of CPPS. …"

Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar حسب Sankaran, Rajendran

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

Efficient Approximate Conformance Checking Using Trie Data Structures حسب Awad, Ahmed

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

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

Correlation Clustering with Overlaps حسب Fakhereldine, Amin

"…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

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

احصل على النص الكامل

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

احصل على النص الكامل

Establishing Autonomous AUS-Quadrotor حسب Al Younes, Younes

احصل على النص الكامل

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. …"
احصل على النص الكامل

Computer-aided detection of Melanoma using geometric features حسب Azar, Danielle

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

A hybrid approach for XML similarity حسب Tekli, Joe

"…Various algorithms for comparing hierarchically structured data, e.g. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

On the complexity of multi-parameterized cluster editing حسب Abu-Khzam, Faisal

"…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

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.…"
احصل على النص الكامل

Video features with impact on user quality of experience حسب Abbas, Nadine

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

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. …"
احصل على النص الكامل
احصل على النص الكامل

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. …"
احصل على النص الكامل
احصل على النص الكامل

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. …"
احصل على النص الكامل