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 …

Cross Project Software Defect Prediction Using Machine Learning: A Review

MS Saeed, M Saleem - … Journal of Computational and Innovative Sciences, 2023 - ijcis.com
Software defect prediction is a crucial area of study focused on enhancing software quality
and cutting down on software upkeep expenses. Cross Project Defect Prediction (CPDP) is …

[HTML][HTML] A cloud-based software defect prediction system using data and decision-level machine learning fusion

S Aftab, S Abbas, TM Ghazal, M Ahmad, HA Hamadi… - Mathematics, 2023 - mdpi.com
This research contributes an intelligent cloud-based software defect prediction system using
data and decision-level machine learning fusion techniques. The proposed system detects …

[PDF][PDF] Data and Ensemble Machine Learning Fusion Based Intelligent Software Defect Prediction System.

S Abbas, S Aftab, MA Khan, TM Ghazal… - … , Materials & Continua, 2023 - researchgate.net
The software engineering field has long focused on creating highquality software despite
limited resources. Detecting defects before the testing stage of software development can …

Cross Project Software Defect Prediction Using Ensemble Learning, a Comprehensive Review

MS Saeed - International Journal of Computational and Innovative …, 2024 - ijcis.com
Software defect prediction (SDP) is a key task in software engineering that aims to identify
potential defects in software projects to improve quality and reduce maintenance costs …

[HTML][HTML] Stacking machine learning model for the assessment of R&D product's readiness and method for its cost estimation

N Chukhray, N Shakhovska, O Mrykhina, L Lisovska… - Mathematics, 2022 - mdpi.com
The modern technology universities have the necessary resource and material base for
developing and transferring R&D products. However, the cost estimation process is not …

[PDF][PDF] Bug severity prediction using keywords in imbalanced learning environment

J Ekanayake - Int. J. Inf. Technol. Comput. Sci.(IJITCS), 2021 - scholar.archive.org
Reported bugs of software systems are classified into different severity levels before fixing
them. The number of bug reports may not be equally distributed according to the severity …

Prediction of COVID-19 using ensemble based machine learning approach

A Akhtar, N Abbas - International Journal of Computational and Innovative …, 2022 - ijcis.com
The viral infection of COVID-19 has been wreaking havoc on earth since December 2019. It
has affected every aspect of human life. This dangerous disease took millions of lives and …

A Classification Framework to Detect Sars Covid-19 Disease Using Feature Selection and Variant-Based Ensemble Learning

A Akhtar - International Journal of Computational and Innovative …, 2023 - ijcis.com
The hazardous COVID-19 pandemic has caused millions of deaths worldwide which depicts
the significance of an early screening of this infection in order to stop it from spreading. Real …