Crop prediction based on characteristics of the agricultural environment using various feature selection techniques and classifiers
Agriculture is a growing field of research. In particular, crop prediction in agriculture is critical
and is chiefly contingent upon soil and environment conditions, including rainfall, humidity …
and is chiefly contingent upon soil and environment conditions, including rainfall, humidity …
Using ensemble learning algorithms to predict student failure and enabling customized educational paths
One of the challenges in e‐learning is the customization of the learning environment to
avoid learners' failures. This paper proposes a Stacked Generalization for Failure Prediction …
avoid learners' failures. This paper proposes a Stacked Generalization for Failure Prediction …
Algoritme Stacking Untuk Klasifikasi Penyakit Jantung Pada Dataset Imbalanced Class
A Nurmasani, Y Pristyanto - Pseudocode, 2021 - ejournal.unib.ac.id
Abstract Berdasarkan data Riset Kesehatan Dasar (Riskesdas) tahun 2018, angka kejadian
penyakit jantung dan pembuluh darah semakin meningkat dari tahun ke tahun. Setidaknya …
penyakit jantung dan pembuluh darah semakin meningkat dari tahun ke tahun. Setidaknya …
A novel hybrid soft computing model using stacking with ensemble method for estimation of compressive strength of geopolymer composite
Machine learning technology is commonly used for the prediction of the compressive
strength of geopolymer composites. This research is focused on using algorithms …
strength of geopolymer composites. This research is focused on using algorithms …
An interpretable deep learning based approach for chronic obstructive pulmonary disease using explainable artificial intelligence
Artificial intelligence has become like-humans in thinking and interpretations. But its uses
are still limited and are viewed as black boxes, and this is the most important factor …
are still limited and are viewed as black boxes, and this is the most important factor …
Prediction of dropout students in massive open online courses using ensemble learning: A pilot study in post-covid academic session
High dropout rate is a critical problem in MOOCs. The prime objective of this study is to
identify possible dropout students at the early stage of the course and reducing the number …
identify possible dropout students at the early stage of the course and reducing the number …
[HTML][HTML] Evaluation of student failure in higher education by an innovative strategy of fuzzy system combined optimization algorithms and AI
J Nie, HA Dehrashid - Heliyon, 2024 - cell.com
This research suggests two novel metaheuristic algorithms to enhance student performance:
Harris Hawk's Optimizer (HHO) and the Earthworm Optimization Algorithm (EWA). In this …
Harris Hawk's Optimizer (HHO) and the Earthworm Optimization Algorithm (EWA). In this …
Predicting the suitable fertilizer for crop based on soil and environmental factors using various feature selection techniques with classifiers
G Mariammal, A Suruliandi, KA Segovia‐Bravo… - Expert …, 2024 - Wiley Online Library
Agriculture is an essential part of human life. The crop productivity is based on the soil and
environmental factors. Different crops are cultivated in different areas. Nowadays, the crop …
environmental factors. Different crops are cultivated in different areas. Nowadays, the crop …
Dual approach to handling imbalanced class in datasets using oversampling and ensemble learning techniques
In the field of machine learning, the existence of class imbalances in the dataset will make
the resulting model have less than optimal performance. Theoretically, the single classifier …
the resulting model have less than optimal performance. Theoretically, the single classifier …
Crop Growth Prediction using Ensemble KNN-LR Model
A Harshitha, B Naseeba, NK Rao… - … on Internet of Things, 2024 - publications.eai.eu
Research in agriculture is expanding. Agriculture in particular relies heavily on earth and
environmental factors, such as temperature, humidity, and rainfall, to forecast crops. Crop …
environmental factors, such as temperature, humidity, and rainfall, to forecast crops. Crop …