Application of machine learning in healthcare and medicine: A review

F Furizal, A Ma'arif, D Rifaldi - Journal of Robotics and Control …, 2023 - journal.umy.ac.id
This extensive literature review investigates the integration of Machine Learning (ML) into
the healthcare sector, uncovering its potential, challenges, and strategic resolutions. The …

[HTML][HTML] Groundwater vulnerability assessment in central Iran: Integration of GIS-based DRASTIC model and a machine learning approach

ZK Motlagh, R Derakhshani, MH Sayadi - Groundwater for Sustainable …, 2023 - Elsevier
The study try to evaluate the susceptibility of groundwater. The DRASTIC model was
implemented through GIS. Various input variables, such as water table depth, net recharge …

Comparative analysis of Deep Learning and Swarm-Optimized Random Forest for Groundwater Spring potential identification in tropical regions

VH Nhu, PV Hoa, L Melgar-García, D Tien Bui - Remote Sensing, 2023 - mdpi.com
Identifying areas with high groundwater spring potential is crucial as it enables better
decision-making concerning water supply, sustainable development, and the protection of …

Addressing Nitrate Contamination in Groundwater: The Importance of Spatial and Temporal Understandings and Interpolation Methods

M Zaresefat, S Hosseini, M Ahrari Roudi - Water, 2023 - mdpi.com
Iranian water security is threatened by groundwater (GW) degradation. The excessive use of
GW for agriculture in Iran is degrading these resources. Livestock waste disposal and …

[PDF][PDF] Groundwater vulnerability assessment in central Iran: Integration of GIS-based DRASTIC model and a machine learning approach

Z Karimzadeh Motlagh, R Derakhshani… - Groundwater for …, 2023 - researchgate.net
The study try to evaluate the susceptibility of groundwater. The DRASTIC model was
implemented through GIS. Various input variables, such as water table depth, net recharge …

Accurate prediction of salinity in Chott Djerid shallow aquifers, southern Tunisia: Machine learning model development

Z Kraiem, K Zouari, N Chkir - Water Science, 2024 - Taylor & Francis
ABSTRACT A backpropagation neural network (BPNN) was used to predict salinity levels in
the Chott Djerid shallow aquifers. A set of 51 water samples was collected from the Chott …

Groundwater contamination modelling in Ayad River Basin, Udaipur

K Pareta - Scientific Reports, 2024 - nature.com
Groundwater, a vital freshwater resource catering to agricultural, domestic, and industrial
needs, faces a pressing challenge of contamination due to escalating human activities. This …

[HTML][HTML] Innovative mapping of groundwater redox status and cation exchange conditions in a GIS environment

M Zaresefat, W Schenkeveld, R Derakhshani… - Groundwater for …, 2024 - Elsevier
Understanding the complexities of regional groundwater quality is crucial for managing
groundwater resources. Groundwater quality assessment involves investigating specific …

Identification of groundwater potential zones of Alappuzha (Kerala) in South India integrating AHP and GIS

S Sekar, AV Nath, PD Roy, SY Chung… - Environment …, 2024 - Springer
Groundwater is one of the important natural resources that is essential to sustain the life on
Earth. Crisis related to groundwater and other water resources is becoming severe in the …

Machine Learning Techniques for Spatio-Temporal Air Pollution Prediction to Drive Sustainable Urban Development in the Era of Energy and Data Transformation

M Zareba, S Cogiel, T Danek, E Weglinska - Energies, 2024 - mdpi.com
Sustainable urban development in the era of energy and digital transformation is crucial
from a societal perspective. Utilizing modern techniques for analyzing large datasets …