IoT and cloud computing based automatic epileptic seizure detection using HOS features based random forest classification

K Singh, J Malhotra - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Epilepsy, a fatal neurological disorder, has been emerged as a worldwide problem and is
one of the major risks to human lives. There exists an urgent need for an efficient technique …

[HTML][HTML] Contributions of dairy products to environmental impacts and nutritional supplies from United States agriculture

DL Liebe, MB Hall, RR White - Journal of dairy science, 2020 - Elsevier
Questions regarding the balance between the contribution to human nutrition and the
environmental impact of livestock food products rarely evaluate specific species or how to …

Agroforestry suitability for planning site-specific interventions using machine learning approaches

RK Singh, MD Behera, P Das, J Rizvi, SK Dhyani… - Sustainability, 2022 - mdpi.com
Agroforestry in the form of intercropping, boundary plantation, and home garden are parts of
traditional land management systems in India. Systematic implementation of agroforestry …

Analysis of the Customer Churn Prediction Project in the Hotel Industry Based on Text Mining and the Random Forest Algorithm

L Taherkhani, A Daneshvar… - Advances in Civil …, 2023 - Wiley Online Library
The ability of hotels to differentiate themselves from competitors and continue to operate
profitably depends on their ability to retain their customers by building long‐term and …

Intelligent decision support system using nested ensemble approach for customer churn in the hotel industry

L Taherkhani, A Daneshvar… - Journal of Business …, 2024 - Taylor & Francis
Since customer retention costs much less than attracting new customer, the problem of
customer churn is a major challenge in various fields of work and particularly Hotel Industry …

Building a system for predicting the yield of grain crops based on machine learning using the XGBRegressor algorithm

Z Buribayev, S Joldasbayev… - … on Smart Information …, 2021 - ieeexplore.ieee.org
The use of machine learning to predict crop yields is important for development, since the
proposal of this solution will improve and facilitate the task of the whole department of the …

Parallel construction of Random Forest on GPU

K Senagi, N Jouandeau - The Journal of Supercomputing, 2022 - Springer
There is tremendous growth of data generated from different industries, ie, health,
agriculture, engineering, etc. Consequently, there is demand for more processing power …

Spatial allocation based on physiological needs and land suitability using the combination of ecological footprint and SVM (Case Study: Java Island, Indonesia)

S Safitri, K Wikantika, A Riqqi, A Deliar… - … International Journal of …, 2021 - mdpi.com
Indonesia currently has 269 million people or 3.49% of the world's total population and is
ranked as the fourth most populous country in the world. Analysis by the Ministry of Public …

[HTML][HTML] Site suitability for Aromatic Rice cultivation by integrating Geo-spatial and Machine learning algorithms in Kaliyaganj CD block, India

D Sarkar, S Saha, M Maitra, P Mondal - Artificial Intelligence in …, 2021 - Elsevier
The purpose of this work is to assess the soil fertility for Tulaipanji rice cultivation in
Kaliyaganj CD Block using the Analytic Hierarchy Process (AHP) and Machine learning …

Small-scale irrigation expansion along the dam-regulated Tekeze River in Northern Ethiopia

S Annys, S Van Passel, J Dessein… - … Journal of Water …, 2021 - Taylor & Francis
Based on extensive field information, farmer-led small-scale irrigation systems along the
dam-regulated Tekeze River is investigated and the likelihood of future irrigation expansion …