Data mining approach to predict student's selection of program majors by SIDDARTHA, SHARMILA

“…Students in higher education do not have access to sufficient information when selecting their program major. Program administrators cannot easily predict majors that will be undersubscribed early enough to take corrective actions. …”
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Implementing Fuzzy Analytical Hierarchy Process and Similarity Approach to Predict Health and Safety Incidents in Dubai Construction Projects by ABU SERDANEH, AFNAN

“…The developed MATLAB program is created to conduct the assessment method of the construction risks. …”
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An Early Detection System for Incomplete Application in Master’s Degree program at University level by Sankar, Manju Vishnu

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A community challenge to predict clinical outcomes after immune checkpoint blockade in non-small cell lung cancer by Mike Mason (18007491)

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Optimized energy management control for the Toyota Hybrid System using dynamic programming on a predicted route with short computation time by Mansour, C.

“…The proposed EMS is based on Dynamic Programming (DP), where the prior knowledge of the route is required in order to predetermine the power-split ratio and optimize the fuel consumption for the whole predicted route. …”
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Pre-production movie rating prediction using machine learning. (c2017) by Gerges, Firas Abdallah

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A Hybrid Control Approach for Autonomous Vehicles Based on Model Predictive Control by Saadeddin, Shadi

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

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Performance Prediction Using Classification by MOOLIYIL, GITA

“…The objective of this study is to determine the best classification models for predicting At Risk status of students in their first semester of an undergraduate degree program. …”
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W(h)ither the Full Season: An Empirical Model for Predicting the Duration of New Television Series’ First Season by Starling David Hunter (23277271)

Prediction of reliability of broadcasting transmitter systems by Abuelma’atti, M.T.

“…This paper shows that the SPICE circuit simulation program is a useful tool for predicting the reliability of broadcasting transmitters. …”
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Can birth weight predict later body composition in anorexia nervosa? by Mattar, L.

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Nursing advancement programs: self managed and nursing focused by Salam, Mahmoud

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Prototype project management tool (PPMT) with cocomo calibration. (c1998) by Haddad, Ibrahim F.

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Immune Checkpoint Inhibitors in Triple Negative Breast Cancer Treatment: Promising Future Prospects by Remy Thomas (702843)

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Design and Prototype of a Satellite Tracking and Antenna System by Atatreh, Dania Mohammed Ali

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Deep Learning for the Accurate Prediction of Triggered Drug Delivery by Husseini, Ghaleb

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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. Methods We analyzed vascular surgery data from the American College of Surgeons National Surgical Quality Improvement Program database (2005-2012; N = 238,082) to compare operative death (in-hospital and 30-day operative death) across eight nutritional status groups based on weight loss (yes/no) and albumin category: very low albumin level (VL-Alb; <2.50 g/dL), low albumin level (L-Alb; 2.50-3.39 g/dL), normal albumin level (N-Alb; 3.40-4.39 g/dL), and high albumin level (H-Alb; 4.40-5.40 g/dL). …”
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Development and Validation of the Motivation for Tutoring Questionnaire in Problem-Based Learning Programs by Salah Eldin, Kassab

“…PurposeThere are no published instruments, which measure tutor motivation for conducting small group tutorials in problem-based learning programs. Therefore, we aimed to develop a motivation for tutoring questionnaire in problem-based learning (MTQ-PBL) and evaluate its construct validity. …”
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Challenges of Using Partial Discharge Measurements for Predictive Maintenance by Abdel-Galil, T.K.

“…This paper addresses the existing partial discharge (PD) measuring and detecting techniques which can be utilized by the utilities in their predictive maintenance programs. It also identifies the challenges which face utility engineers in collecting and analyzing partial discharge data. …”
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