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 …

Potential of artificial intelligence-based techniques for rainfall forecasting in Thailand: A comprehensive review

M Waqas, UW Humphries, A Wangwongchai… - Water, 2023 - mdpi.com
Rainfall forecasting is one of the most challenging factors of weather forecasting all over the
planet. Due to climate change, Thailand has experienced extreme weather events, including …

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 …

A data-driven approach to improve customer churn prediction based on telecom customer segmentation

T Zhang, S Moro, RF Ramos - Future Internet, 2022 - mdpi.com
Numerous valuable clients can be lost to competitors in the telecommunication industry,
leading to profit loss. Thus, understanding the reasons for client churn is vital for …

[PDF][PDF] A Classification Framework for Software Defect Prediction Using Multi-filter Feature Selection Technique and MLP.

A Iqbal, S Aftab - International Journal of Modern Education & …, 2020 - researchgate.net
Production of high quality software at lower cost can be possible by detecting defect prone
software modules before the testing process. With this approach, less time and resources …

Intelligent farming system through weather forecast support and crop production

RM Pujahari, SP Yadav, R Khan - Application of Machine Learning in …, 2022 - Elsevier
Weather forecasting can help with a farmer's planning for crop productivity. Forecasts can
support farmers in planning many daily decisions. These decisions may include crop …

[PDF][PDF] Software defect prediction using variant based ensemble learning and feature selection techniques

U Ali, S Aftab, A Iqbal, Z Nawaz, MS Bashir… - International Journal of …, 2020 - mecs-press.org
Testing is considered as one of the expensive activities in software development process.
Fixing the defects during testing process can increase the cost as well as the completion …

Rainfall Prediction using Big Data Analytics: A Systematic Literature Review

MA Cheema, M Saqib, SZ Iqbal - International Journal of …, 2023 - journals.gaftim.com
With major ramifications for agriculture, water resource management, and disaster planning,
rainfall prediction is an essential component of weather forecasting. The use of big data …

[PDF][PDF] A feature selection based ensemble classification framework for software defect prediction

A Iqbal, S Aftab, I Ullah, MS Bashir… - International Journal of …, 2019 - mecs-press.org
Software defect prediction is one of the emerging research areas of software engineering.
The prediction of defects at early stage of development process can produce high quality …

Application of machine learning to stomatology: a comprehensive review

ML Sun, Y Liu, G Liu, D Cui, AA Heidari, WY Jia… - IEEE …, 2020 - ieeexplore.ieee.org
In recent years, machine learning methods has been widely used in various fields, such as
finance, spatial sciences, smart grid, intelligent transportation, renewable energy …