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

"…The main aim was to predict the initial leukemia disease. Machine learning algorithms such as decision tree (DT), naive bayes (NB), random forest (RF), gradient boosting machine (GBM), linear regression (LinR), support vector machine (SVM), and novel approach based on the combination of Logistic Regression (LR), DT and SVM named as ensemble LDSVM model. …"

Transaction Dependency Based Approach for Database Damage Assessment Using a Matrix حسب Haraty, Ramzi Ahmed

"…The proposed algorithm keeps track of the transactions that read from one another and store this information in a single matrix. …"
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Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review حسب Alaa Abd-alrazaq (17058018)

"…The most commonly used algorithm was random forest, followed by support vector machine.…"

Predicting Android Malware Using Evolution Networks حسب Chahine, Joy

"…This issue requires the development of efficient solutions in order to keep up with the continuous evolution of malware. …"
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Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort حسب Sergio Márquez-Sánchez (19437985)

"…However, these BEMSs often suffer from a critical limitation—they are primarily trained on building energy data alone, disregarding crucial elements such as occupant comfort and preferences. …"

Predicting the Impact of Data Poisoning Attacks in Blockchain-Enabled Supply Chain Networks حسب Javed Butt , Usman

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A hybrid approach for XML similarity حسب Tekli, Joe

"…Various algorithms for comparing hierarchically structured data, e.g. …"
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Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying حسب Tekli, Joe

"…Dedicated weighting functions and various search algorithms have been developed for that purpose and will be presented here. …"
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Machine Learning-Based Approach for EV Charging Behavior حسب Shahriar, Sakib

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Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing حسب Zabin, Asem Ahmad

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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. …"
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Study of the Impact of Land Use and Land Cover (LULC) Changes on local climate in Six Mega Global Cities in the 21st Century حسب Sabobeh, Lara Ali

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RFID localization using single reader antenna. (c2014) حسب Msheik, Hamze

"…In today‟s modern world it is very important to wirelessly track assets whether small items such as bananas, patients in hospital, to massive mining machines. …"
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AI-Based Methods for Predicting Required Insulin Doses for Diabetic Patients حسب Azar, Danielle

"…However, keeping track of the data for this purpose is overwhelming. …"
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Predicting insulin dosage for diabetic patients to reach optimal glucose levels. (c2012) حسب Bitar, Mandy

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Automated systems for diagnosis of dysgraphia in children: a survey and novel framework حسب Jayakanth Kunhoth (14158908)

"…This work discusses the data collection method, important handwriting features, and machine learning algorithms employed in the literature for the diagnosis of dysgraphia. …"

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

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Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications حسب Estahbanati, Shahabeddin Vamegh

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Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning حسب Far, Reza Davoodi

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