Application of Data Mining to Predict and Diagnose Diabetic Retinopathy by Haniyeh, Maryam

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Predicting gasoline prices using Michigan survey data by Baghestani, Hamid

“…As such, we conclude that the MSC data on both expected inflation and consumer sentiment have significant predictive information for gasoline prices. …”
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A Novel Centrality-Based Approach for Link Prediction by El Khoury, Elissa Lichaa

“…Link prediction aims to identify missing or future connections between entities of a complex system, when modeled as a network. …”
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Deep Learning for the Accurate Prediction of Triggered Drug Delivery by Husseini, Ghaleb

“…In this study, we develop a predictive model combining experimental measurements with deep learning techniques. …”
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Predicting Mobile Game Success Using Data Analytics by ALOMARI, KHALED MOHAMMAD

“…A model of mobile game app success prediction based upon the game features values that are created proposed.…”
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Role of nutritional indices in predicting outcomes of vascular surgery by Jabbour, Jana

“…We aimed to assess the combined use of recent significant weight loss (>10% body mass) and serum albumin levels as a nutritional status index to predict outcomes. …”
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Recurring Multi-layer Moving Window Approach to Forecast Day-ahead and Week-ahead Load Demand Considering Weather Conditions by Dao H. Vu (19517236)

Predicting Split Decisions in MPEG-2 to HEVC Video Transcoding by Shanableh, Tamer

“…While in the transcoding mode, the split decisions of coding units of the HEVC video are predicted. Two formulations are proposed for the prediction of split decisions based on multi model and multi-tier solutions. …”
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Forecasting Emerging Stock Market Crashes via Machine Learning by Khan, Mohammad Osama

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Enhancing Liquefied Natural Gas supply chain robustness through digital twin-driven machine learning models: A special case of cryogenic heat exchanger by Mariem Mhiri (17991544)

“…The resulting forecasts will feed the ML model to predict the next operational state. The framework is validated through an extensive computational study on randomly generated scenarios. …”

FlashDetR: A deep learning pipeline for early detection and time estimation of flashover in high-voltage insulators using infrared videos by Najmath Ottakath (17430912)

“…In this work, we propose a pipeline named Flashover Detector and Time Estimator, which integrates a transformer-based model to accurately predict flashover occurrences, while a Three Dimensional Convolutional Neural Network-based model estimates the time to flashover. …”

Traffic Transformer: Transformer-based framework for temporal traffic accident prediction by Mansoor G. Al-Thani (19237204)

“…To address the inherent shortcomings of current traffic prediction models, we propose the Traffic Transformer for multidimensional, multi-step traffic accident prediction. …”

Prediction of stroke-associated hospital-acquired pneumonia: Machine learning approach by Abujaber, Ahmad A.

“…BackgroundStroke-associated Hospital Acquired Pneumonia (HAP) significantly impacts patient outcomes. This study explores the utility of machine learning models in predicting HAP in stroke patients, leveraging national registry data and SHapley Additive exPlanations (SHAP) analysis to identify key predictive factors. …”
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Contrasting and Predicting Social Media’s Role in Addictive Use and Well-Being by Deniz Cemiloglu (17150980)

“…Competence in using social media significantly predicted both PSMU and SM-WB in the Arab sample. …”

Kidney Ensemble-Net: Enhancing Renal Carcinoma Detection Through Probabilistic Feature Selection and Ensemble Learning by Zaib Akram (22224541)

Machine learning-based prediction of one-year mortality in ischemic stroke patients by Ahmad Abujaber (9100064)

“…This study evaluates the effectiveness of machine learning models in predicting one-year mortality after an ischemic stroke. …”

ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks by Muhammad Asif Khan (7367468)

“…Two well-known problems related to device mobility are handover prediction and access point selection. Due to the complex nature of the radio environment, analytical models may not characterize the wireless channel, which makes the solution of these problems very difficult. …”

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

“…The XGBoost-based model appears to be 116 times faster than the multilayer perceptron-based (MLP) prediction model. …”

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

“…Furthermore, AAL could be the motivating technique for the most recent care models by working as an adjunct. Research and development (R&D) projects and business activities in AAL and smart home contexts frequently emphasize the significance of technology. …”
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Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation by Faseela Abdullakutty (22564814)

“…Traditional models predominantly rely on structured clinical data, which often lacks essential contextual details, limiting their predictive accuracy. …”