Classifying online corporate reputation with machine learning: a study in the banking domain حسب Anette Rantanen (18060340)

Machine learning in crime prediction حسب Karabo Jenga (17788496)

"…<div><p>Predicting crimes before they occur can save lives and losses of property. With the help of machine learning, many researchers have studied predicting crimes extensively. …"

A machine learning based study to assess bone health in a diabetic cohort حسب Saleh Musleh (15279190)

Integration of machine learning and digital twin in additive manufacturing of polymeric-based materials and products حسب Imran Khan (109715)

الموضوعات:

Federated Machine Learning for Multi-Aspect Neuro-developmental Disorders حسب Shamseddine, Hala

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Explainable, trustworthy, and ethical machine learning for healthcare: A survey حسب Khansa Rasheed (17380573)

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

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Machine Learning Techniques for Pharmaceutical Bioinformatics حسب SULTAN, AHMED ATTA AHMED

"…A predictive model is developed to predict drug indication as well as to predict new DDIs using multiple machine learning algorithms. This dissertation presents a case study of predicted anti-cancer activity for 38 drugs. …"
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Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study حسب Alaa Abd-alrazaq (17058018)

"…The most prominent topic, observed in over half of the analyzed studies, was “the impact of COVID-19.”</p><h3>Conclusions</h3><p dir="ltr">The proposed machine learning–based approach has the potential to identify research gaps in scientific literature. …"

Arabic Speech Sentiment Analysis Using Machine Learning: A Case Study of COP28 حسب ALMUALLA, SHEIKH ABDULAZIZ

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

"…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. …"

An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study حسب Ayman Hassan (14426412)

Risk Factors and Comorbidities Associated to Cardiovascular Disease in Qatar: A Machine Learning Based Case-Control Study حسب Hamada R. H. Al-Absi (16726299)

"…The objective of this case-control study was to develop machine learning (ML) model distinguishing healthy individuals from people having CVD, which could ultimately reveal the list of potential risk factors associated to CVD in Qatar. …"

Using machine learning for disease detection. (c2013) حسب Jreij, Georges Antoun

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Using machine learning to support students’ academic decisions حسب ALLAH, AISHA QASIM GHAZAL FATEH

"…This research tests and compares the performance of Decision Trees, Random Forests, Gradient-Boosted trees, and Deep Learning machine learning regression algorithms to predict student GPA. …"
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Machine Learning Approach for Predicting Appointment No-Show in Healthcare حسب Khalouf, Dana

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

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

"…However, they are not highly effective in improving results and are frequently employed by doctors for cancer diagnosis. This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …"

Predicting Plasma Vitamin C Using Machine Learning حسب Daniel Kirk (17302798)

"…The objective of this study is to predict plasma vitamin C using machine learning. …"

Benchmarking Concept Drift Detectors for Online Machine Learning حسب Mahgoub, Mahmoud

"…Concept drift detection is an essential step to maintain the accuracy of online machine learning. The main task is to detect changes in data distribution that might cause changes in the decision bound aries for a classification algorithm. …"
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