Comparative study based on analysis of coronavirus disease (COVID-19) detection and prediction using machine learning models
RS Abirami, GS Kumar - SN Computer Science, 2022 - Springer
As the number of COVID-19 cases increases day by day, the situation and livelihood of
people throughout the world deteriorates. The goal of this study is to use machine learning …
people throughout the world deteriorates. The goal of this study is to use machine learning …
An abstractive text summarization technique using transformer model with self-attention mechanism
Creating a summarized version of a text document that still conveys precise meaning is an
incredibly complex endeavor in natural language processing (NLP). Abstract text …
incredibly complex endeavor in natural language processing (NLP). Abstract text …
Data-driven decision making for modelling covid-19 and its implications: A cross-country study
Grounded in big data analytics capabilities, this study aims to model the COVID-19 spread
globally by considering various factors such as demographic, cultural, health system …
globally by considering various factors such as demographic, cultural, health system …
Detection of corona virus disease using a novel machine learning approach
AO Salau - 2021 international conference on decision aid …, 2021 - ieeexplore.ieee.org
In recent times, Coronavirus Disease 2019 (COVID-19) has become a growing concern
which has taken the world by surprise. Early detection of this virus can be used to save …
which has taken the world by surprise. Early detection of this virus can be used to save …
Prediction of breast and lung cancer, comparative review and analysis using machine learning techniques
Cancer is the most frequent illness that cannot be overlooked and ends in death; early
diagnosis helps to navigate the most effective care to save human lives. Cancer can develop …
diagnosis helps to navigate the most effective care to save human lives. Cancer can develop …
Flower species detection system using deep convolutional neural networks
A system that correctly identifies the name of a flower species may be beneficial for
botanists, camping enthusiasts, and researchers. Previously, classification was only done …
botanists, camping enthusiasts, and researchers. Previously, classification was only done …
Role of machine learning and deep learning in Internet of Things enabled smart cities
Nowadays, smart city is the latest research domain that is continuously attracting new
researchers in its different domains like smart transportations, smart grids, and smart …
researchers in its different domains like smart transportations, smart grids, and smart …
An Artificial Neural Network-Based Approach for Predicting the COVID-19 Daily Effective Reproduction Number Rt in Italy
Since December 2019, the novel coronavirus disease (COVID-19) has had a considerable
impact on the health and socio-economic fabric of Italy. The effective reproduction number …
impact on the health and socio-economic fabric of Italy. The effective reproduction number …
ROUGE-SS: A New ROUGE Variant for Evaluation of Text Summarization
Evaluation is the systematic collection and analysis of data to make judgments about a
software system's value, worth or quality. The authenticity or accuracy of any software …
software system's value, worth or quality. The authenticity or accuracy of any software …
[图书][B] Smart Computing and Self-adaptive Systems
The book intends to cover various problematic aspects of emerging smart computing and
self-adapting technologies comprising of machine learning, artificial intelligence, deep …
self-adapting technologies comprising of machine learning, artificial intelligence, deep …