[HTML][HTML] A review on modern defect detection models using DCNNs–Deep convolutional neural networks
Background Over the last years Deep Learning has shown to yield remarkable results when
compared to traditional computer vision algorithms, in a large variety of computer vision …
compared to traditional computer vision algorithms, in a large variety of computer vision …
Recent approaches on classification and feature extraction of EEG signal: A review
Objective: Electroencephalography (EEG) has an influential role in neuroscience and
commercial applications. Most of the tools available for EEG signal analysis use machine …
commercial applications. Most of the tools available for EEG signal analysis use machine …
Skin cancer detection using ensemble of machine learning and deep learning techniques
Skin cancer is one of the most common forms of cancer, which makes it pertinent to be able
to diagnose it accurately. In particular, melanoma is a form of skin cancer that is fatal and …
to diagnose it accurately. In particular, melanoma is a form of skin cancer that is fatal and …
Interactive effects of natural and anthropogenic factors on heterogenetic accumulations of heavy metals in surface soils through geodetector analysis
S Huang, L Xiao, Y Zhang, L Wang, L Tang - Science of the Total …, 2021 - Elsevier
The rapid socioeconomic development has led to severe pollution of urban soils by heavy
metals. It is vital to identify and quantify the factors that affect trace-element pollution for …
metals. It is vital to identify and quantify the factors that affect trace-element pollution for …
Estimating heavy metal concentrations in suburban soils with reflectance spectroscopy
Soil contamination by heavy metals has become a serious environmental issue worldwide.
Rapidly and reliably obtaining heavy metal concentrations in soil is vital for soil monitoring …
Rapidly and reliably obtaining heavy metal concentrations in soil is vital for soil monitoring …
Model for opportunities assessment to increase the enterprise innovation activity
This study shows that the model of assessing the opportunities for innovation activity of
enterprises is multivariate and interrelated with such macroeconomic regulators of Ukraine's …
enterprises is multivariate and interrelated with such macroeconomic regulators of Ukraine's …
An improved breast cancer disease prediction system using ML and PCA
Computer-aided diagnosis (CAD) systems based on machine learning (ML) techniques
have altered the field of medical research. The deployement of such models to classify …
have altered the field of medical research. The deployement of such models to classify …
Ecosystem services as a resilience descriptor in habitat risk assessment using the InVEST model
Vulnerability of coastal ecosystems has been increasing as a result of human perturbations
that compromise the ability to provide multiple ecosystem services. Vulnerability is a function …
that compromise the ability to provide multiple ecosystem services. Vulnerability is a function …
[PDF][PDF] Cervical cancer classification using combined machine learning and deep learning approach
Cervical cancer is screened by pap smear methodology for detection and classification
purposes. Pap smear images of the cervical region are employed to detect and classify the …
purposes. Pap smear images of the cervical region are employed to detect and classify the …
COVID-19 vaccine hesitancy in Malaysia: Exploring factors and identifying highly vulnerable groups
Vaccine hesitancy is a global health challenge in controlling the virulence of pandemics.
The prevalence of vaccine hesitancy will put highly vulnerable groups, such as the elderly or …
The prevalence of vaccine hesitancy will put highly vulnerable groups, such as the elderly or …