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A systematic map** to investigate the application of machine learning techniques in requirement engineering activities
Over the past few years, the application and usage of Machine Learning (ML) techniques
have increased exponentially due to continuously increasing the size of data and computing …
have increased exponentially due to continuously increasing the size of data and computing …
Design of hybrid deep learning approach for COVID-19 infected lung image segmentation
Lung infection or sickness is one of the most common acute ailments in humans. Pneumonia
is one of the most common lung infections, and the annual global mortality rate from …
is one of the most common lung infections, and the annual global mortality rate from …
EMG controlled bionic robotic arm using artificial intelligence and machine learning
Electromyography is a one of a kind methodology for recording and breaking down the
electrical action created by muscles, and a Myo-electric controlled prosthetic appendage is …
electrical action created by muscles, and a Myo-electric controlled prosthetic appendage is …
Data Analytics for Healthcare Institutions: A Data Warehouse Model Proposal
WXB Granda, F Molina-Granja, JD Altamirano… - … : Proceedings of ICICCT …, 2022 - Springer
Data analysis is considered as a process of review, debugging, and finally data modeling to
obtain additional information, establish conclusions, and make effective decisions. In …
obtain additional information, establish conclusions, and make effective decisions. In …
Need of intenet of things, industrial IoT, industry 4.0 and integration of cloud for industrial revolution
Transformative Integration of Cloud with Internet of Thing is a complex assignment as they
are two extremely separate technologies. Their implementation and utilization are estimated …
are two extremely separate technologies. Their implementation and utilization are estimated …
Data obfuscation technique in cloud security
Cloud storage, in general, is a collection of Computer Technology resources provided to
consumers over the internet on a leased basis. Cloud storage has several advantages …
consumers over the internet on a leased basis. Cloud storage has several advantages …
Comparing 3D rendering engines in blender
GRK Rao, PV Sgar, T Bikku, C Prasad… - … Conference on Smart …, 2021 - ieeexplore.ieee.org
Using most 3D modeling and/or animation software, there are multiple choices for
visualization. As Computer Graphics have evolved over the years, there has been an …
visualization. As Computer Graphics have evolved over the years, there has been an …
Optimized conversion of categorical and numerical features in machine learning models
KS Sree, J Karthik, C Niharika… - … Conference on I …, 2021 - ieeexplore.ieee.org
While some data have an explicit, numerical form, many other data, such as gender or
nationality, do not typically use numbers and are referred to as categorical data. Thus …
nationality, do not typically use numbers and are referred to as categorical data. Thus …
Support Vector Machine based Remote Sensing using Satellite Data Image
Shadow makes the Image and Video critical and hence it is very mandatory step to remove
the shadows especially in terms of Satellite Images. The method detects and subtract …
the shadows especially in terms of Satellite Images. The method detects and subtract …
[HTML][HTML] COV-VGX: An automated COVID-19 detection system using X-ray images and transfer learning
Abstract Coronavirus (COVID-19) has been one of the most dangerous and acute deadly
diseases across the world recently. Researchers are trying to develop automated and …
diseases across the world recently. Researchers are trying to develop automated and …