Contributions of machine learning models towards student academic performance prediction: a systematic review

P Balaji, S Alelyani, A Qahmash, M Mohana - Applied Sciences, 2021 - mdpi.com
Machine learning is emerging nowadays as an important tool for decision support in many
areas of research. In the field of education, both educational organizations and students are …

[Retracted] Analysis of Agriculture and Food Supply Chain through Blockchain and IoT with Light Weight Cluster Head

AH Adow, MK Shrivas, HF Mahdi… - Computational …, 2022 - Wiley Online Library
By 2050, the world's population will have increased by 34%, to more than 9 billion people,
needing a 70% increase in food production. Prepare more dishes with fewer ingredients …

Variable selection for estimating individual tree height using genetic algorithm and random forest

EN Miranda, BHG Barbosa, SHG Silva… - Forest Ecology and …, 2022 - Elsevier
Tree height is an important trait in forest science and is highly associated with the site quality
from which the trees are measured. However, other factors, such as competition and species …

Towards the selection of best machine learning model for student performance analysis and prediction

MF Masood, A Khan, F Hussain… - … Conference on Soft …, 2019 - ieeexplore.ieee.org
Educational Data Mining (EDM) has become one of the most important fields now a day
because with the development of technology, student's problems are also increasing. In …

[PDF][PDF] Regressor fitting of feature importance for customer segment prediction with ensembling schemes using machine learning

MS Devi, RM Mathew, R Suguna - International Journal of …, 2019 - academia.edu
Prediction of client behavior and their feedback remains as a challenging task in today's
world for all the manufacturing companies. The companies are struggling to increase their …

[PDF][PDF] Composite Model Fabrication of Classification with Transformed Target Regressor for Customer Segmentation using Machine Learning

RM Mathew, R Suguna, MS Devi - International Journal of Engineering and … - academia.edu
In Current internet world, the customers prefer to buy the products through online rather than
spending their time on show rooms. The online customers of wine increases day by day due …

[PDF][PDF] Ensembling coalesce of logistic regression classifier for heart disease prediction using machine learning

S Basheer, RM Mathew, MS Devi - International Journal of Innovative …, 2019 - academia.edu
In today's modern world, the world population is affected with some kind of heart diseases.
With the vast knowledge and advancement in applications, the analysis and the …

[PDF][PDF] Exploration of multiple linear regression with ensembling schemes for roof fall assessment using machine learning

MS Devi, S Basheer, RM Mathew - International Journal of Innovative …, 2019 - academia.edu
Roof fall of the building is the major threat to the society as it results in severe damages to
the life of the people. Recently, engineers are focusing on the prediction of roof fall of the …

[PDF][PDF] Recognition of forest fire spruce type tagging using machine learning classification

MS Devi, S Dewangan, SK Ambashta… - International Journal of …, 2019 - academia.edu
In recent times, the natural resources are demolished due to the technological growth. The
agricultural and the forest area are transformed to industries, Storage Warehouse and …

[PDF][PDF] Exploration of Neighbor Kernels and Feature Estimators for Heart Disease Prediction using Machine Learning

RM Mathew, MS Devi, S Basheer - International Journal of Innovative …, 2019 - academia.edu
In the growing era of technological world, the people are suffered with various diseases. The
common disease faced by the population irrespective of the age is the heart disease …