DATA MINING ALGORITHMS FOR PREDICTION OF STUDENT TEACHERS’ PERFORMANCE IN ICT: A SYSTEMATIC LITERATURE REVIEW by Juma Habibu Shindo, Mohamedi Mohamedi Mjahidi, Mohamed Dewa Waziri

“…Therefore, considering the general findings, the study identified five Data Mining algorithms as appropriate and most commonly used for prediction of student teachers’ performance in ICT. …”
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The development of a kinetic biotic ligand model to predict acute toxicity of Gadolinium for Daphnia magna by Marion Revel, Qiao-Guo Tan, Andrew Hursthouse, Susanne Heise

“…The Biotic Ligand Model (BLM) is a valuable tool for risk assessment which predicts the metal bioavailability and toxicity to specific organisms. …”
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A Circulating miRNA-Based Scoring System Established by WGCNA to Predict Colon Cancer by Da Qin, Rui Wei, Si Liu, Shengtao Zhu, Shutian Zhang, Li Min

“…We built a scoring system based on circulation hub miRNAs found by WGCNA to predict the development of colon cancer.…”
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Sandy Soil Liquefaction Prediction Based on Clustering-Binary Tree Neural Network Algorithm Model by Yu Wang, Jiachen Wang

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Circulating Galectin-3 and Aldosterone for Predicting Atrial Fibrillation Recurrence after Radiofrequency Catheter Ablation by Zhong-bao Ruan, Run-feng Gao, Fei Wang, Ge-cai Chen, Jun-guo Zhu, Yin Ren, Li Zhu

“…The area under the curve (AUC) of preoperative serum Gal-3, ALD, and 2 combined to predict the recurrence of AF patients after RFCA was 0.636, 0.798, and 0.893, respectively, while sensitivity was 65.32%, 71.69%, and 88.61%, respectively and specificity was 77.46%, 78.53%, and 86.0%, respectively. …”
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Modeling Approach for Predicting the Rate of Frequency Change of Notched Beam Exposed to Gaussian Random Excitation by Ed Habtour, Mark Paulus, Abhijit Dasgupta

“…A finite element model was developed to predict the stress intensity and natural frequency during damage accumulation. …”
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Coupling Beams’ Shear Capacity Prediction by Hybrid Support Vector Regression and Particle Swarm Optimization by Emad A. Abood, Mustafa Kamal Al-Kamal, Sabih Hashim Muhodir, Nadia Moneem Al-Abdaly, Luís Filipe Almeida Bernardo, Dario De Domenico, Hamza Imran

“…This paper examines the ability of Support Vector Regression (SVR) in predicting the shear performance of coupling beams. …”
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Fatigue life prediction of the drilling mast for rotary drilling rig using an improved hybrid algorithm by Heng Yang, Qing Lu, Yuhang Ren, Gening Xu, Wenxiao Guo, Qianbin Geng

“…To address the demand for accurate fatigue life prediction of the drilling mast for rotary drilling rig in engineering, an improved hybrid Aquila-African Vulture Optimization Algorithm (IAOAVOA) is proposed to optimize the BP neural network method for predicting the fatigue life of drill masts. …”
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Implications of Spatiotemporal Data Aggregation on Short-Term Traffic Prediction Using Machine Learning Algorithms by Rivindu Weerasekera, Mohan Sridharan, Prakash Ranjitkar

“…Short-term traffic prediction is a key component of Intelligent Transportation Systems. …”
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Predicting Downward Longwave Radiation for Various Land Use in All-Sky Condition: Northeast Florida by Chi-Han Cheng, Fidelia Nnadi

“…The results show that factors, such as, seasonal effects, cloud cover, and land use, are of importance in the estimation of LWd and they cannot be ignored when developing a model for LWd prediction. The all-sky land use-adapted model with all factors taken into account performs better than other existing models statistically. …”
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Implementation of the C4.5 Algorithm in Predicting the Interest of Prospective Students in Choosing Higher Education by Bambang Triraharjo, Prilian Ayu Minarni, Baskoro

Subjects: “…prediction…”
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Symptoms, but Not a Biomarker Response to Inhaled Corticosteroids, Predict Asthma in Preschool Children with Recurrent Wheeze by E. M. M. Klaassen, K. D. G. van de Kant, Q. Jöbsis, S. T. P. Høvig, C. P. van Schayck, G. T. Rijkers, E. Dompeling

“…Although symptom score in preschool wheezing children at baseline was associated with asthma at six years of age, EBC biomarkers, airway resistance, or symptom response to ICS at preschool age could not predict asthma diagnosis at six years of age.…”
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Expansion of Impervious Surface Area in Pekanbaru (1990–2018) and Predictions for 2038 Using Big Data by Wirawan Bayu Andrianto, Siregar Yusni Ikhwan, Sukendi Sukendi, Mulyadi Mulyadi

“…With accurate future predictions, we can take appropriate policies to handle urban growth sustainably.…”
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Evaluating SCUBE-1 as Predictive Biomarker for Hypertension-Mediated Organ Damage: A Comparative Study by Betül Ayça Yamak, Mustafa Candemir, Emrullah Kızıltunç, Hüseyin Baran Özdemir, Özlem Gülbahar, Asife Şahinarslan

“…The findings support the potential of SCUBE-1 as a valuable biomarker for predicting organ damage in hypertensive patients.…”
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Predicting the urban water demand by equipping intelligent-based methods with discrete wavelet transform function by Mohammad Reza Alikhani, Ramtin Moeini

“…For this purpose, in this research, artificial intelligence and data mining methods, including genetic programming (GP), gene expression programming (GEP), artificial neural network (ANN), and discrete wavelet transform function, are used to predict the daily drinking water consumption values of WDN. …”
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A Comprehensive Review of Facial Beauty Prediction Using Multi-task Learning and Facial Attributes by Ali H. Ibrahem, Adnan M. Abdulazeez

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Predicted Cold Shock Proteins from the Extremophilic Bacterium Deinococcus maricopensis and Related Deinococcus Species by Michael J. LaGier

“…A tertiary model of Dm-Csp1 revealed an anticipated Csp structure containing five anti-parallel beta-strands, and ligand prediction experiments identified N-terminally located residues capable of binding single-stranded nucleic acids. …”
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Evaluating the Accuracy of the ERA5 Model in Predicting Wind Speeds Across Coastal and Offshore Regions by Mohamad Alkhalidi, Abdullah Al-Dabbous, Shoug Al-Dabbous, Dalal Alzaid

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Dynamic Classifier Auditing by Unsupervised Anomaly Detection Methods: An Application in Packaging Industry Predictive Maintenance by Fernando Mateo, Joan Vila-Francés, Emilio Soria-Olivas, Marcelino Martínez-Sober, Juan Gómez-Sanchis, Antonio José Serrano-López

Subjects: “…predictive maintenance…”
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Establishing a GRU-GCN coordination-based prediction model for miRNA-disease associations by Kai-Cheng Chuang, Ping-Sung Cheng, Yu-Hung Tsai, Meng-Hsiun Tsai

“…Based on these refined label definitions, we developed a DL-based model to refine and predict the results of associations between miRNAs and diseases. …”
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