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Found 15 papers, 2 papers with code
Defect Localization Using Region of Interest and Histogram-Based Enhancement Approaches in 3D-Printing
Additive manufacturing (AM), particularly 3D printing, has revolutionized the production of complex structures across various industries.
Divorce Prediction with Machine Learning: Insights and LIME Interpretability
Divorce is one of the most common social issues in developed countries like in the United States.
Defect Analysis of 3D Printed Cylinder Object Using Transfer Learning Approaches
Additive manufacturing (AM) is gaining attention across various industries like healthcare, aerospace, and automotive.
BSGAN: A Novel Oversampling Technique for Imbalanced Pattern Recognitions
One of the potential drawbacks of existing Borderline-SMOTE is that it focuses on the data samples that lay at the border point and gives more attention to the extreme observations, ultimately limiting the creation of more diverse data after oversampling, and that is the almost scenario for the most of the borderline-SMOTE based oversampling strategies.
Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework
The future scope of this domain in the medical imaging sector is further described.
Invariant Scattering Transform for Medical Imaging
Over the years, the Invariant Scattering Transform (IST) technique has become popular for medical image analysis, including using wavelet transform computation using Convolutional Neural Networks (CNN) to capture patterns' scale and orientation in the input signal.
Transfer learning and Local interpretable model agnostic based visual approach in Monkeypox Disease Detection and Classification: A Deep Learning insights
The recent development of Monkeypox disease among various nations poses a global pandemic threat when the world is still fighting Coronavirus Disease-2019 (COVID-19).
Imbalanced Class Data Performance Evaluation and Improvement using Novel Generative Adversarial Network-based Approach: SSG and GBO
This study proposes two novel techniques: GAN-based Oversampling (GBO) and Support Vector Machine-SMOTE-GAN (SSG) to overcome the limitations of the existing oversampling approaches.
Image Data collection and implementation of deep learning-based model in detecting Monkeypox disease using modified VGG16
While the world is still attempting to recover from the damage caused by the broad spread of COVID-19, the Monkeypox virus poses a new threat of becoming a global pandemic.
Monkeypox Image Data collection
This paper explains the initial Monkeypox Open image data collection procedure.
Design and Development of an Autonomous Surface Vehicle for Water Quality Monitoring
Manually monitoring water quality is very exhausting and requires several hours of sampling and laboratory testing for a particular body of water.
Machine Learning-Based Disease Diagnosis:A Bibliometric Analysis
With the advancement of ML and the proliferation of papers and research in this field, a complete examination of Machine Learning-Based Disease Diagnosis (MLBDD) is required.
Machine learning based disease diagnosis: A comprehensive review
Globally, there is a substantial unmet need to diagnose various diseases effectively.
Machine Learning-Based Heart Disease Diagnosis: A Systematic Literature Review
Heart disease is one of the significant challenges in today's world and one of the leading causes of many deaths worldwide.
Study of Different Deep Learning Approach with Explainable AI for Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray Image Dataset
It is necessary to conduct an initial screening of patients with the symptoms of COVID-19 disease to control the spread of the disease.
