Research graph
References from Synthetic noise injection asymmetrically affects machine-learning quantification of Cd2+ and Pb2+ in multi-scan cyclic voltammetry. Local targets link to admitted publications; unresolved targets remain external evidence.
Introduction of heavy metals contamination in the water and soil: a review on source, toxicity and remediation methods
10.1080/17518253.2024.2404235 · 2024 · External reference
Total concentrations and sources of heavy metal pollution in global river and lake water bodies from 1972 to 2017
2020 · External reference
Heavy metal pollution in the environment and their toxicological effects on humans
10.1016/j.heliyon.2020.e04691 · 2020 · External reference
Environmental chemistry and ecotoxicology of hazardous heavy metals: environmental persistence, toxicity, and bioaccumulation
10.1155/2019/6730305 · 2019 · External reference
Bioaccumulation of lead (Pb) and its effects on human: a review
2022 · External reference
Toxic mechanisms of five heavy metals: mercury, lead, chromium, cadmium, and arsenic
10.3389/fphar.2021.643972 · 2021 · External reference
Impact of heavy metals on the environment and human health: novel therapeutic insights to counter the toxicity
10.1016/j.jksus.2022.101865 · 2022 · External reference
The effects of cadmium toxicity
10.3390/ijerph17113782 · 2020 · External reference
Lead toxicity: a review
10.1515/intox-2015-0009 · 2015 · External reference
Molecular mechanism of heavy metals (lead, chromium, arsenic, mercury, nickel and cadmium) – induced hepatotoxicity
10.1016/j.chemosphere.2021.129735 · 2021 · External reference
Research hotspot and trend analysis of heavy metals decontamination of wastewater in past two decades: A bibliometric analysis
2025 · External reference
Chitosan-based materials: Bridging the gap between pollutant removal and sustainability
10.1016/j.psep.2025.107671 · 2025 · External reference
AI-enhanced adsorption modeling: Challenges, applications, and bibliographic analysis
10.1016/j.jenvman.2023.119968 · 2024 · External reference
Detection of heavy metals using atomic absorption and emission spectroscopy in drinking water of Faisalabad, Pakistan: microbial safety and quality status assessment
10.1080/15569543.2023.2272174 · 2024 · External reference
Determination of trace and heavy metals in bottled drinking water in Yemen by ICP-MS
10.1016/j.rechem.2024.101558 · 2024 · External reference
Voltammetry and related electrochemical methods based on low-cost instrumentation: a review from basic to advanced
10.1134/s1061934824050150 · 2024 · External reference
Simultaneous determination of lead and cadmium in water by metal oxide framework complex-modified glassy carbon electrodes
10.1016/j.microc.2024.111154 · 2024 · External reference
Trace-level analysis of heavy metals in the environment using electrochemical sensors
2024 · External reference
A review on various electrochemical techniques for heavy metal ions detection with different sensing platforms
10.1016/j.bios.2017.03.031 · 2017 · External reference
Electrochemical sensors and devices for heavy metals assay in water: the French groups’ contribution
10.3389/fchem.2014.00019 · 2014 · External reference
Development and evaluation of a glassy carbon electrode modified with silver and mercury nanoparticles for quantification of cysteine rich peptides
10.1016/j.snb.2017.07.153 · 2017 · External reference
Electrospun carbon nanofiber modified electrodes for stripping voltammetry
10.1021/acs.analchem.5b02017 · 2015 · External reference
Modified electrodes used for electrochemical detection of metal ions in environmental analysis
10.3390/bios5020241 · 2015 · External reference
A fused convolutional transformer for voltammetric electronic tongue analysis tasks
2024 · External reference
Classification of As, Pb and Cd heavy metal ions using square wave voltammetry, dimensionality reduction and machine learning
10.1109/access.2022.3143451 · 2022 · External reference
Accurate SWASV detection of Cd(II) under the interference of Pb(II) by coupling support vector regression and feature stripping currents
10.1016/j.jelechem.2021.115227 · 2021 · External reference
Cross-attention feature fusion network for robust estimation of Cd2+ and Pb2+ in water samples using cyclic voltammetry
10.1016/j.ceja.2026.101065 · 2026 · External reference
Improving the accuracy of stripping voltammetry detection of Cd2+ and Pb2+ in the presence of Cu2+ and Zn2+ by machine learning: understanding and inhibiting the interactive interference among multiple heavy metals
10.1016/j.aca.2022.339956 · 2022 · External reference
A CNN-based method for heavy-metal ion detection
10.3390/app13074520 · 2023 · External reference
Artificial intelligence in heavy metals detection: methodological and ethical challenges
2023 · External reference
A deep learning approach to organic pollutants classification using voltammetry
10.3390/s22208032 · 2022 · External reference
A new random forest applied to heavy metal risk assessment
10.32604/csse.2022.018301 · 2022 · External reference
Detecting water contaminants using an electrochemical sensor based on improved Transformer Encoder with Genetic Algorithm
10.1016/j.jwpe.2026.110111 · 2026 · External reference
Machine learning using random forest to model heavy metals removal efficiency using a zeolite-embedded sheet in water
2024 · External reference
Interpretation of electrochemical noise data
10.5006/1.3290350 · 2001 · External reference
Drift removal procedures in the analysis of electrochemical noise
10.5006/1.3287684 · 2002 · External reference
Concerning trend removal in electrochemical noise measurements
10.1016/s0010-938x(00)00064-0 · 2001 · External reference
Electrochemical noise of a Li-ion battery: measurement and spectral analysis
10.1007/s10008-019-04209-5 · 2019 · External reference
Modeling scaled processes and 1/f noise by nonlinear stochastic differential equations
10.1088/1742-5468/2009/02/p02051 · 2009 · External reference
Smoothing and differentiation of data by simplified least squares procedures
10.1021/ac60214a047 · 1964 · External reference
10.1021/acsmeasuresciau.1c00054 · 2022 · Admitted local publication
Adapting to unknown smoothness via wavelet shrinkage
10.1080/01621459.1995.10476626 · 1995 · External reference
Information quality ratio as a novel metric for mother wavelet selection
10.1016/j.chemolab.2016.11.012 · 2017 · External reference
A new approach to signal filtering method using K-means clustering and distance-based Kalman filtering
2022 · External reference
Training with noise is equivalent to Tikhonov regularization
10.1162/neco.1995.7.1.108 · 1995 · External reference
Dropout: a simple way to prevent neural networks from overfitting
2014 · External reference
Time series data augmentation for deep learning: a survey
2021 · External reference
A survey on image data augmentation for deep learning
10.1186/s40537-019-0197-0 · 2019 · External reference
Unresolved reference
External reference
Threat of adversarial attacks on deep learning in computer vision: a survey
10.1109/access.2018.2807385 · 2018 · External reference
Unresolved reference
External reference
Explicit regularisation in Gaussian noise injections
2021 · External reference
On stabilizing generative adversarial training with noise
2019 · External reference
10.1016/j.ceja.2026.101296 · 2026 · Admitted local publication
The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms
10.1109/tau.1967.1161901 · 1967 · External reference
Unresolved reference
1997 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
Combining K-fold cross validation with Bayesian hyperparameter optimization for accuracy enhancement of land cover and land use classification
10.1038/s41598-025-23336-w · 2025 · External reference
10.1145/2939672.2939785
10.1145/2939672.2939785 · External reference
