Groundwater salinity modeling and mapping using machine learning approaches: a case study in Sidi Okba region, Algeria

S Boudibi, H Fadlaoui, F Hiouani, N Bouzidi… - … Science and Pollution …, 2024 - Springer
The groundwater salinization process complexity and the lack of data on its controlling
factors are the main challenges for accurate predictions and mapping of aquifer salinity. For …

A Fascinating Exploration into Nitrite Accumulation into low concentration Reactors using Cutting-Edge Machine Learning Techniques

HA Keerio, SA Shah, Z Ali, S Panhwar, GS Solangi… - Process …, 2024 - Elsevier
In the last couple decades, more use of nitrogenous chemical fertilizers and improper
disposable of wastewater has harmed water and it cause water pollution. Low concentrated …

Analisis Komparatif Kinerja Algoritma Machine Learning untuk Deteksi Stunting

S Lonang, A Yudhana… - JURNAL MEDIA …, 2023 - ejurnal.stmik-budidarma.ac.id
Stunting is a serious problem caused by chronic malnutrition in children under five, causing
stunted growth and having a negative impact on long-term health and productivity …

Comparison of mycobacterium tuberculosis image detection accuracy using CNN and combination CNN-KNN

WN Waluyo, RR Isnanto, AF Rochim - Jurnal RESTI (Rekayasa …, 2023 - jurnal.iaii.or.id
Mycobacterium tuberculosis is a pathogenic bacterium that causes respiratory tract disease
in the lungs, namely tuberculosis (TB). The problem is to find out the bacterial colonies when …

Development of Novel Framework for Identifying Anomalies in High Volume of Data Using Robust Machine Learning Algorithm

SK Nanda, NJ Borah - SN Computer Science, 2024 - Springer
Anomaly detection is a process that detects unlike observations from entire data points. Also,
detection of anomalies in unlabelled data particularly is very tedious task using …

An assessment of water pollutions area in Terengganu River, Malaysia using unsupervised machine learning

N Zamri, MA Pairan, WNAW Azman… - Procedia Computer …, 2022 - Elsevier
River, which supply 90% of the readily accessible water, are key elements of universal water
source system. Terengganu River situated in Terengganu, Malaysia is a modern busy city …

[PDF][PDF] Optimasi Klasifikasi Data Stunting Melalui Ensemble Learning pada Label Multiclass dengan Imbalance Data.

E Prasetyo, K Nugroho - Techno. com, 2024 - core.ac.uk
Salah satu permasalahan kesehatan yang sering ditemui di banyak negara termasuk
Indonesia adalah stunting. Stunting telah mendapat banyak perhatian di Indonesia, terlihat …

Penerapan Klasifikasi Untuk Kelayakan Hasil Produksi Jam Tangan dengan Menggunakan Algoritma K-Nearest Neighbor

M Harika, DR Ramdania… - JURIKOM (Jurnal …, 2022 - ejurnal.stmik-budidarma.ac.id
Industrial companies in Indonesia are one of the sectors that require development in
carrying out their contribution in the manufacturing world. Market needs become the main …

Prediction of river water quality based on Artificial Neural Network

DM Azmi, N Mohd Sabri, NM Nik Daud… - Journal of Computing …, 2024 - ir.uitm.edu.my
In machine learning, prediction is a method that is supported by historical data and is often
used in various fields. It can be used to predict quality for water taken from river, which is a …

Exploration of Machine Learning Methods in Medical Disease Prediction: A Systematic Literature Review

RS Nurhalizah, H Jayusman - Journal of Advanced Health …, 2023 - ejournal.ptti.web.id
Abstract Exploration of Machine Learning methods in the systematic literature shows
successful applications in disease diagnosis, disease prediction, and treatment planning …