Forecasting model to predict project success based on the contractors’ characteristics by AlSuwaidi, Khalid Waleed Rashid Deemas

Get full text

Prevalence, predictors, and outcomes of major congenital anomalies: A population-based register study by Nader Al-Dewik (4166527)

Temporal fusion transformer-based prediction in aquaponics by Ahmet Metin (12832543)

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.…”
Get full text

A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity by Wesam S. Ahmed (10170053)

“…Here, we combined molecular dynamics (MD) simulation and mutational analysis to show that the R162A mutation results in a decreased but stable <u>bioluminescence </u>activity of NLuc in living cells and in vitro. …”

A Novel Centrality-Based Approach for Link Prediction by El Khoury, Elissa Lichaa

Get full text
Get full text
Get full text

PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks by Rawan AlSaad (14159019)

Detection of statistically significant network changes in complex biological networks by Raghvendra Mall (581171)

“…The proposed procedure exploits a more effective model selection criteria to generate <i>p</i>-values for statistical significance and is more efficient in terms of computational time and prediction accuracy than literature methods. …”

SoccerNet: A Gated Recurrent Unit-based model to predict soccer match winners by Jassim AlMulla (16726296)

“…Football being the most popular game in the world, many studies have been conducted to analyze and predict match winners based on players’ physical and technical performance. …”

Addition of sphingosine-1-phosphate to human oocyte culture medium decreases embryo fragmentation by Zreik, Tony

Get full text
Get full text
Get full text

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. …”

Predictors and outcomes of patient safety culture in hospitals by Dimassi, Hani

“…Bivariate and mixed model regression analyses were used to examine the association between the patient safety culture predictors and outcomes. Results Significant correlations were observed among all patient safety culture composites but with differences in the strength of the correlation. …”
Get full text
Get full text
Get full text

The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu... by Wesal Habbab (17346961)

“…Somewhat surprisingly, the catalytically active form, methylated PP2A (mePP2A) was significantly decreased. In close correlation to these data, the phosphorylation state of two substrate proteins, sensitive to PP2A activity, GSK3β and Tau were found to be increased. …”

AI-based remaining useful life prediction and modelling of seawater desalination membranes by Al Ali, Fajer

Get full text

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

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

Optimizing malicious website prediction: An advanced XGBoost-based machine learning model by Sumaira Hussain (19259669)

Deep learning based multimodal urban air quality prediction and traffic analytics by Saad Hameed (6488738)

“…The proposed system tackles the challenge of predicting air quality at locations having no sensors or experiencing sensor failures by training a joint model on the data obtained from nearby stations/sensors using a Particle Swarm Optimization (PSO)-based merit fusion of the sensor data. …”

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

“…Therefore, this thesis proposed a Novel Stacking Classification and Prediction (NSCP) algorithm based on AAL for the older people with Multi-strategy Combination based Feature Selection (MCFS) and Novel Clustering Aggregation (NCA) algorithms. …”
Get full text

Prevalence, risk factors, and predictors of pelvic organ prolapse by Deeb, Mary E.

“…Combined clinical symptoms of pelvic heaviness, urinary disturbances, and a feeling of bulge in the vagina were predictive of POP. Conclusions: Our findings suggest that cost-efficient interventions to reduce the burden of POP in this and similar remote communities include the following: family planning awareness campaigns focusing on the risks of grand multiparity; nutritional education and weight management programs to help reduce the progression of POP before the age of menopause; and consideration of symptom-based screening to identify affected women who might benefit from a referral to specialty care at a tertiary care center.…”
Get full text
Get full text
Get full text
Get full text