Predicting and Interpreting Student Performance Using Machine Learning in Blended Learning Environments in a Jordanian School Context حسب SALIM, MAHA JAWDAT

"…These platforms enhance academic performance by fostering collaborative learning environments and generating extensive data from every user interaction. Machine learning algorithms can process large and complex datasets to identify patterns and trends that may not be immediately apparent. …"
احصل على النص الكامل

Future Prediction of COVID-19 Vaccine Trends Using a Voting Classifier حسب Syed Ali Jafar Zaidi (19563178)

"…Multiple ML algorithms are used to improve decision-making at different aspects after forecasting. …"

A Machine Learning Approach to Predicting Diabetes Complications حسب Jian, Yazan Khaled

احصل على النص الكامل

Just-in-time defect prediction for mobile applications: using shallow or deep learning? حسب Raymon van Dinter (10521952)

"…In this research, we evaluate the performance of traditional machine learning algorithms and data sampling techniques for JITDP problems and compare the model performance with the performance of a DL-based prediction model. …"

Establishing Autonomous AUS-Quadrotor حسب Al Younes, Younes

احصل على النص الكامل

Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review حسب Hiba Alzoubi (18001609)

"…Techniques (e.g., model ensembling and multimodal data integration) are needed for better multiclass classification. …"

MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network حسب Sakib Mahmud (15302404)

"…Because the diagnosis of many neurological diseases is heavily reliant on clean EEG data, it is critical to eliminate motion artifacts from motion-corrupted EEG signals using reliable and robust algorithms. …"

Automatic Recognition of Poets for Arabic Poetry using Deep Learning Techniques (LSTM and Bi-LSTM) حسب AL SHOUBAKI, HAMZA YOUNIS

"…We also explore a range of algorithms, including traditional classifiers and deep learning models, to determine and select the most suitable and accurate models of identifying poets' names from the verses. …"
احصل على النص الكامل

Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review حسب Arfan Ahmed (17541309)

"…WDs coupled with artificial intelligence (AI) algorithms show promise to help understand and conclude meaningful information from the gathered data and provide advanced and clinically meaningful analytics.…"

Vibration suppression in a cantilever beam using a string-type vibration absorber حسب Issa, Jimmy S.

"…The string is rigidly connected to the fixed end of the beam and through a spring and damper to a second point on the beam. The finite element method is used to model the system and a reduced order model is obtained through modal reduction performed on both the string and the beam. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

An Infrastructure-Assisted Workload Scheduling for Computational Resources Exploitation in the Fog-Enabled Vehicular Network حسب Sorkhoh, Ibrahim

"…A Dantzig–Wolfe decomposition algorithm is proposed which yields to a master program solvable by the Barrier algorithm and subproblems solve...…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

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

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

A geographic information system method to generate long term regional solar radiation resource maps: enhancing decision-making حسب Sachin Jain (19161721)

"…Digital surface model data is used as an auxiliary variable to further scale down to 30 m resolution. …"

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

Digital Image Watermarking Using Balanced Multiwavelets حسب Ghouti, L.

"…In this paper, a robust watermarking algorithm using balanced multiwavelet transform is proposed. …"
احصل على النص الكامل

Precision nutrition: A systematic literature review حسب Daniel Kirk (17302798)

"…Therefore, we carried out a Systematic Literature Review (SLR) to provide an overview of where and how machine learning has been used in Precision Nutrition from various aspects, what such machine learning models use as input features, what the availability status of the data used in the literature is, and how the models are evaluated. …"

EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach حسب Muhammad Adeel Asghar (6724982)

"…Features extracted from the proposed BoDF model have considerably smaller dimensions. The proposed model achieves better classification accuracy compared to the recently reported work when validated on SJTU SEED and DEAP data sets. …"

Predicting COVID-19 cases using bidirectional LSTM on multivariate time series حسب Ahmed Ben Said (14158926)

"…Unlike other forecasting techniques, our proposed approach first groups the countries having similar demographic and socioeconomic aspects and health sector indicators using K-means clustering algorithm. The cumulative case data of the clustered countries enriched with data related to the lockdown measures are fed to the bidirectional LSTM to train the forecasting model. …"

Process Mining over Unordered Event Streams حسب Awad, Ahmed

"…This requires online algorithms that, instead of keeping the whole history of event data, work incrementally and update analysis results upon the arrival of new events. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A novel few shot learning derived architecture for long-term HbA1c prediction حسب Marwa Qaraqe (10135172)

"…For the first time in the literature, this work proposes a novel FSL-derived algorithm for the long-term prediction of clinical HbA1c measures. …"