Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review حسب Zainab Jan (17306614)

"…Most of the included articles used data sets with a size of <1000 samples (11/30, 37%). Deep learning models were the most prominent branch of AI used for pancreatic cancer diagnosis in the studies, and the convolutional neural network was the most used algorithm (18/30, 60%). …"

Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers حسب Ali Sharida (17947847)

"…<p dir="ltr">This article proposes a digital twin (DT)-based diagnosis and fault-tolerant control for T-type three-level rectifiers. To develop the DT, a dense deep neural network (DNN) machine learning approach is used. …"

Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition حسب Dabeeruddin Syed (16864260)

"…<p>Different aggregation levels of the electric grid's big data can be helpful to develop highly accurate deep learning models for Short-term Load Forecasting (STLF) in electrical networks. …"

Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review حسب Francisco Monteiro-Guerra (16864122)

Predicting insulin dosage for diabetic patients to reach optimal glucose levels. (c2012) حسب Bitar, Mandy

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Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection حسب Ahmad Yaser Alhaddad (7017434)

"…We also review methods that use machine learning algorithms to predict blood glucose trends, especially for high risk events such as hypoglycemia. …"

XBeGene: Scalable XML Documents Generator by Example Based on Real Data حسب Harazaki, Manami

"…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …"
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Learning-Based Space-Time Adaptive Processing حسب El Khatib, Alaa

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Tensile Test Optimization Using the Design of Experiment and Soft Computing حسب Mehdi Moayyedian (14880358)

Identification of phantom movements with an ensemble learning approach حسب Akhan Akbulut (17380285)

"…The aim of the current study is to classify and recognize the phantom movements in four different amputation levels of the upper and lower extremities. In the current study, we utilized ensemble learning algorithms for the recognition and classification of phantom movements of the different amputation levels of the upper and lower extremity. …"

A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai حسب ALGHANEM, HANI SUBHI MOHD

"…The proposed framework comprises key elements: Important Decisions derived from interviews with transportation leaders, Knowledge Management enhanced by AI algorithms, Data Mining/Analysis utilizing historical data, the Fleet Management System employing Oracle ERP, and a Data-Driven Decision Support Framework that leans towards the extended framework approach. …"
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Deep Reinforcement Learning for Resource Constrained HLS Scheduling حسب Makhoul, Rim

"…In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. The actions and rewards for the proposed algorithm are selected carefully to guide the agent to its objective. …"
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Modulation With Metaheuristic Approach for Cascaded-MPUC49 Asymmetrical Inverter With Boosted Output حسب Kaif Ahmed Lodi (16855518)

Reinforcement Learning-Based School Energy Management System حسب Yassine Chemingui (18891757)

"…In recent years, the Deep Reinforcement Learning algorithm, applying neural networks for function approximation, shows promising results in handling such complex problems. …"

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

"…Data-driven approaches, such as machine learning (ML), particularly deep learning (DL), have shown promising results. …"
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A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015) حسب Wehbe, Gioia Wahib

"…These discriminative motifs can be further studied to understand their role both at the evolutionary and disease levels.…"
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Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems حسب Shehabeldin, Menatalla Diaaeldin

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FPGA-Based Network Traffic Classification Using Machine Learning حسب Elnawawy, Mohammed

"…Classification approaches based on machine learning techniques have shown promising results with high levels of accuracy. …"
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An efficient approach for textual data classification using deep learning حسب Abdullah Alqahtani (7128143)

"…<p dir="ltr">Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset training data. …"

FPGA-Based Network Traffic Classification Using Machine Learning حسب Elnawawy, Mohammed

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