An XML Document Comparison Framework حسب Tekli, Joe

"…As the Web continues to grow and evolve, more and more information is being placed in structurally rich documents, XML documents in particular, so as to improve the efficiency of similarity clustering, information retrieval and data management applications. Various algorithms for comparing hierarchically structured data, e.g., XML documents, have been proposed in the literature. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

LDSVM: Leukemia Cancer Classification Using Machine Learning حسب Abdul Karim (417009)

"…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …"

Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System حسب Sahawneh, Laith Rasmi

احصل على النص الكامل

Benchmark on a large cohort for sleep-wake classification with machine learning techniques حسب Joao Palotti (8479842)

"…However, the largest experiments conducted to date, have had only hundreds of participants. In this work, we processed the data of the recently published Multi-Ethnic Study of Atherosclerosis (MESA) Sleep study to have both PSG and actigraphy data synchronized. …"

Inertial Navigation system of In-pipe Inspection Robot حسب Al-Masri, Wasim

احصل على النص الكامل

Video Streaming over D2D Networks حسب Ahmed, Ibtihal Mohamed Taha

احصل على النص الكامل

Decision-level Gait Fusion for Human Identification at a Distance حسب Al-Tayyan, Amer

احصل على النص الكامل

Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine حسب Shomope, Ibrahim

"…Results: RF consistently outperformed SVM, achieving R² scores above 0.96 across all power densities, particularly excelling at higher power densities and indicating a strong correlation with the actual data. Conclusion: RF outperforms SVM in drug release prediction, though both show strengths and apply based on specific prediction needs.…"
احصل على النص الكامل

Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet حسب Vineet Dhanawat (22361395)

"…To guarantee accuracy and uniformity, the data is preprocessed by addressing missing values and ensuring consistency. …"

Online Control and Optimization of Directional Drilling حسب unknown

"…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

Development of Machine Learning Models for Studying the Premixed Turbulent Combustion of Gas-To-Liquids (GTL) Fuel Blends حسب Abdellatif M. Sadeq (16931841)

"…<p dir="ltr">Studying the spatial and temporal evolution in turbulent flames represents one of the most challenging problems in the combustion community. Based on previous 3D numerical analyses, this study aims to develop data-driven machine learning (ML) models for predicting the flame radius evolution and turbulent flame speeds for diesel, gas-to-liquids (GTL), and their 50/50 blend (by volumetric composition) under different thermodynamic and turbulence operating conditions. …"

Face Flow: Constrained Optical Flow Framework for Faces حسب Alkaddour, Muhannad

احصل على النص الكامل

Cyberbullying Detection in Arabic Text using Deep Learning حسب ALBAYARI, REEM RAMADAN SA’ID

"…Cyberbullying involves the use of communication technology and data, including messages, photographs, and videos, to undertake aggressive negative actions to harm others. …"
احصل على النص الكامل

Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles حسب Wadi, Ali

"…The identified a priori knowledge is used to implement an optimal Kalman filter, a multi-hypothesis Kalman filter, and a variant of the full information estimator (moving horizon estimator) to the problem at hand. The proposed algorithms are initially deployed in a simulation environment, and then the experimental data sets are fed into the algorithms to validate their performance. …"
احصل على النص الكامل

Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea حسب Issa, Leila

"…Lagrangian tracking of passive tracers in a stochastic velocity field within a sequential ensemble data assimilation framework is challenging due to the exponential growth in the number of particles. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Corrosion Monitoring Technologies for Reinforced Concrete Structures: A Review حسب SHEHADEH, KHADIJA

"…New technology, algorithms, data processing, and AI are new approaches to improving corrosion monitoring processes. …"
احصل على النص الكامل

Scheduling and allocation in high-level synthesis using stochastic techniques حسب Sait, Sadiq M.

"…High-level synthesis is the process of automatically translating abstract behavioral models of digital systems to implementable hardware. …"
احصل على النص الكامل

Positive Unlabelled Learning to Recognize Dishes as Named Entity حسب TAREK, AIMAN

"…With the lack of labelled data, I try to overcome the cold start and avoid manual labelling by building a lookup table from a dictionary. …"
احصل على النص الكامل

Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches حسب Mohammad, Areej Osama

احصل على النص الكامل

Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol حسب Santiago Hors-Fraile (5950823)

"…Health recommender systems are information-filtering algorithms that can choose the most relevant health-related items—for instance, motivational messages aimed at smoking cessation—for each user based on his or her profile. …"