Software defect prediction using artificial neural networks: A systematic literature review

MA Khan, NS Elmitwally, S Abbas, S Aftab… - Scientific …, 2022 - Wiley Online Library
The demand for automated online software systems is increasing day by day, which
triggered the need for high‐quality and maintainable softwares at lower cost. Software defect …

COVID-19 detection from CBC using machine learning techniques

A Akhtar, S Akhtar, B Bakhtawar… - International Journal …, 2021 - journals.gaftim.com
Covid-19 pandemic has seriously affected the mankind with colossal loss of life around the
world. There is a critical requirement for timely and reliable detection of Corona virus …

Treatment response prediction in hepatitis C patients using machine learning techniques

AA Kashif, B Bakhtawar, A Akhtar… - International Journal …, 2021 - journals.gaftim.com
The proper prognosis of treatment response is crucial in any medical therapy to reduce the
effects of the disease and of the medication as well. The mortality rate due to hepatitis c virus …

Rainfall prediction system using machine learning fusion for smart cities

A Rahman, S Abbas, M Gollapalli, R Ahmed, S Aftab… - Sensors, 2022 - mdpi.com
Precipitation in any form—such as rain, snow, and hail—can affect day-to-day outdoor
activities. Rainfall prediction is one of the challenging tasks in weather forecasting process …

Emotions matter: A systematic review and meta-analysis of the detection and classification of students' emotions in stem during online learning

A Anwar, IU Rehman, MM Nasralla, SBA Khattak… - Education …, 2023 - mdpi.com
In recent years, the rapid growth of online learning has highlighted the need for effective
methods to monitor and improve student experiences. Emotions play a crucial role in …

Twitter data sentiment analysis of tourism in Thailand during the COVID-19 pandemic using machine learning

N Leelawat, S Jariyapongpaiboon, A Promjun… - Heliyon, 2022 - cell.com
Abstract The coronavirus disease 2019 (COVID-19) pandemic has severely affected
Thailand's economy, which relies heavily on tourism. In this study, we labeled the sentiment …

[HTML][HTML] Topics and sentiments of public concerns regarding COVID-19 vaccines: Social media trend analysis

M Monselise, CH Chang, G Ferreira, R Yang… - Journal of medical …, 2021 - jmir.org
Background As a number of vaccines for COVID-19 are given emergency use authorization
by local health agencies and are being administered in multiple countries, it is crucial to gain …

Sentiment analysis on COVID-19-related social distancing in Canada using Twitter data

C Shofiya, S Abidi - International Journal of Environmental Research and …, 2021 - mdpi.com
Background: COVID-19 preventive measures have been an obstacle to millions of people
around the world, influencing not only their normal day-to-day activities but also affecting …

Analisis sentimen terhadap layanan indihome berdasarkan twitter dengan metode klasifikasi support vector machine (SVM)

R Tineges, A Triayudi… - Jurnal Media …, 2020 - ejurnal.stmik-budidarma.ac.id
Abstract In the year 2018, 18.9% of the population in Indonesia mentioned that the main
reason for their use of the Internet is social media. One of the social media with an active …

[PDF][PDF] Performance analysis of machine learning techniques on software defect prediction using NASA datasets

A Iqbal, S Aftab, U Ali, Z Nawaz, L Sana… - … Journal of Advanced …, 2019 - researchgate.net
Defect prediction at early stages of software development life cycle is a crucial activity of
quality assurance process and has been broadly studied in the last two decades. The early …