Dermatologist-level classification of skin cancer using cascaded ensembling of convolutional neural network and handcrafted features based deep neural network
Skin cancer is caused due to unusual development of skin cells and deadly type cancer.
Early diagnosis is very significant and can avoid some categories of skin cancers, such as …
Early diagnosis is very significant and can avoid some categories of skin cancers, such as …
Music deep learning: deep learning methods for music signal processing—a review of the state-of-the-art
The discipline of Deep Learning has been recognized for its strong computational tools,
which have been extensively used in data and signal processing, with innumerable …
which have been extensively used in data and signal processing, with innumerable …
Bmnet-5: A novel approach of neural network to classify the genre of bengali music based on audio features
Music genre classification (MGC) is the process of putting genre labels on music by
analyzing the sounds or words. With the rapid growth of music data repositories, MGC can …
analyzing the sounds or words. With the rapid growth of music data repositories, MGC can …
An Improvised Virtual Queue Algorithm to Manipulate the Congestion in High-Speed Network
In the recent technological era, advancement in the application allows faster transmission of
data massively over the network, and it leads to the emergence of challenges related to high …
data massively over the network, and it leads to the emergence of challenges related to high …
Pharmaceutical supply chain challenges and inventory management
The pharmaceutical humanitarian supply chain works tirelessly in an unstable, difficult
environment wrought by crises and epidemics. Increasing visibility along the medical supply …
environment wrought by crises and epidemics. Increasing visibility along the medical supply …
WB-CPI: Weather based crop prediction in India using big data analytics
This paper aims at collecting and analysing temperature, rainfall, soil, seed, crop production,
humidity and wind speed data (in a few regions), which will help the farmers improve the …
humidity and wind speed data (in a few regions), which will help the farmers improve the …
Classification of Satellite Photographs Utilizing the K-Nearest Neighbor Algorithm
Categorizing the various components of a satellite image is necessary for producing
thematic maps, which requires the image to be analysed and classified first. We have …
thematic maps, which requires the image to be analysed and classified first. We have …
[PDF][PDF] Application of Machine Learning to the Process of Crop Selection Based on Land Dataset
Annotation: We are well recognised that the vast majority of Indians work in agriculture. Most
farmers always grow the same thing, always use the same amount of fertilizer, and always …
farmers always grow the same thing, always use the same amount of fertilizer, and always …
STARC: Deep learning Algorithms' modelling for STructured analysis of retina classification
Retina is the heart of an eye which generates electrical impulses due to light sensitivity. The
vessel formation in human eye is an essential key for diagnosing ophthalmological …
vessel formation in human eye is an essential key for diagnosing ophthalmological …
[PDF][PDF] The application of machine learning to the prediction of heart attack.
Heart illnesses are among the most significant contributors to mortality in the world in the
modern era. Heart attacks are responsible for the death of one person every 33 seconds …
modern era. Heart attacks are responsible for the death of one person every 33 seconds …