NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY حسب JINESH, PADIKKAPPARAMBIL

"…Therefore, this thesis proposed a Novel Stacking Classification and Prediction (NSCP) algorithm based on AAL for the older people with Multi-strategy Combination based Feature Selection (MCFS) and Novel Clustering Aggregation (NCA) algorithms. …"
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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. …"

Hybrid Deep Learning-based Models for Crop Yield Prediction حسب Alexandros Oikonomidis (12050497)

"…In this study, we developed deep learning-based models to evaluate how the underlying algorithms perform with respect to different performance criteria. …"

Novel algorithms for accurate DNA base-calling حسب Mohammed, Omniyah Gul

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Impact of AI and Dynamic Ensemble Techniques in Enhancing Healthcare Services: Opportunities and Ethical Challenges حسب Haseeb Javed (18576340)

الموضوعات:

Predicting Cardiovascular Disease in Patients with Machine Learning and Feature Engineering Techniques حسب Tyagi, Sapna

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Estimating Construction Project Duration Using a Machine Learning Algorithm حسب Nasr, Joshua

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Using Machine Learning Algorithms to Forecast Solar Energy Power Output حسب Ali Jassim Lari (22597940)

"…We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. …"

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

"…Machine learning algorithms can process large and complex datasets to identify patterns and trends that may not be immediately apparent. …"
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Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review حسب Asma Alamgir (18288895)

"…Most of the studies used data sets with a size of <10,000 samples (32/47, 68%). Machine learning models were the most prominent branch of AI used in the prediction of cardiac arrest in the studies (38/47, 81%), and the most used algorithm was the neural network (23/47, 49%). …"

Pre-production movie rating prediction using machine learning. (c2017) حسب Gerges, Firas Abdallah

"…Results show that machine learning is useful in this domain and genetic algorithms can be used to build prediction models with relatively good performance. …"
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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. …"

Gene-specific machine learning model to predict the pathogenicity of BRCA2 variants حسب Mohannad N. Khandakji (13885434)

"…<h3>Background</h3><p dir="ltr">Existing BRCA2-specific variant pathogenicity prediction algorithms focus on the prediction of the functional impact of a subtype of variants alone. …"

Developing a UAE-Based Disputes Prediction Model using Machine Learning حسب Abu Laila, Ibrahim Wasef Subhi

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Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection حسب Alok Singh Chauhan (8264985)

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. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …"
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Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review حسب Ruba, Sulaiman

"…Throughout the past decade, different machine learning (ML) approaches have been utilized to predict outcomes of TAVI. …"
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Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review حسب Ruba Sulaiman (17734065)

"…Throughout the past decade, different machine learning (ML) approaches have been utilized to predict outcomes of TAVI. …"

Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning حسب Zeinab, Samira Jihad

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Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes حسب Muhammad Mohsin Khan (22150360)

"…Feature selection was done using a Random Forest algorithm to identify the top 20 features for the SAH severity prediction. …"