A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis
The spread of Covid-19 has resulted in worldwide health concerns. Social media is
increasingly used to share news and opinions about it. A realistic assessment of the …
increasingly used to share news and opinions about it. A realistic assessment of the …
Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model
Blood cancer has been a growing concern during the last decade and requires early
diagnosis to start proper treatment. The diagnosis process is costly and time-consuming …
diagnosis to start proper treatment. The diagnosis process is costly and time-consuming …
Analyzing sentiments regarding ChatGPT using novel BERT: A machine learning approach
Chatbots are AI-powered programs designed to replicate human conversation. They are
capable of performing a wide range of tasks, including answering questions, offering …
capable of performing a wide range of tasks, including answering questions, offering …
Wireless capsule endoscopy bleeding images classification using CNN based model
Wireless capsule endoscopy (WCE) is an efficient tool to investigate gastrointestinal tract
disorders and perform painless imaging of the intestine. Despite that, several concerns …
disorders and perform painless imaging of the intestine. Despite that, several concerns …
Racism detection by analyzing differential opinions through sentiment analysis of tweets using stacked ensemble gcr-nn model
With social media's dominating role in the socio-political landscape, several existing and
new forms of racism took place on social media. Racism has emerged on social media in …
new forms of racism took place on social media. Racism has emerged on social media in …
Incorporating cnn features for optimizing performance of ensemble classifier for cardiovascular disease prediction
Cardiovascular diseases (CVDs) have been regarded as the leading cause of death with
32% of the total deaths around the world. Owing to the large number of symptoms related to …
32% of the total deaths around the world. Owing to the large number of symptoms related to …
Covid-19 vaccination-related sentiments analysis: a case study using worldwide twitter dataset
COVID-19 pandemic has caused a global health crisis, resulting in endless efforts to reduce
infections, fatalities, and therapies to mitigate its after-effects. Currently, large and fast-paced …
infections, fatalities, and therapies to mitigate its after-effects. Currently, large and fast-paced …
Sensor-based human activity recognition using deep stacked multilayered perceptron model
The recent development of machines exhibiting intelligent characteristics involves numerous
techniques including computer hardware and software architecture development. Many …
techniques including computer hardware and software architecture development. Many …
Denial of service attack classification using machine learning with multi-features
The exploitation of internet networks through denial of services (DoS) attacks has
experienced a continuous surge over the past few years. Despite the development of …
experienced a continuous surge over the past few years. Despite the development of …
A novel approach to railway track faults detection using acoustic analysis
Regular inspection of railway track health is crucial for maintaining safe and reliable train
operations. Factors, such as cracks, ballast issues, rail discontinuity, loose nuts and bolts …
operations. Factors, such as cracks, ballast issues, rail discontinuity, loose nuts and bolts …