Recent advancements in emerging technologies for healthcare management systems: a survey

SB Junaid, AA Imam, AO Balogun, LC De Silva… - Healthcare, 2022 - mdpi.com
In recent times, the growth of the Internet of Things (IoT), artificial intelligence (AI), and
Blockchain technologies have quickly gained pace as a new study niche in numerous …

Recent advances in artificial intelligence and wearable sensors in healthcare delivery

SB Junaid, AA Imam, M Abdulkarim, YA Surakat… - Applied Sciences, 2022 - mdpi.com
Artificial intelligence (AI) and wearable sensors are gradually transforming healthcare
service delivery from the traditional hospital-centred model to the personal-portable-device …

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 …

Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning

M Ali, T Mazhar, A Al-Rasheed, T Shahzad… - PeerJ Computer …, 2024 - peerj.com
Effective software defect prediction is a crucial aspect of software quality assurance,
enabling the identification of defective modules before the testing phase. This study aims to …

Artificial intelligence, sensors and vital health signs: a review

SB Junaid, AA Imam, AN Shuaibu, S Basri, G Kumar… - Applied Sciences, 2022 - mdpi.com
Large amounts of patient vital/physiological signs data are usually acquired in hospitals
manually via centralized smart devices. The vital signs data are occasionally stored in …

Software defect prediction using an intelligent ensemble-based model

M Ali, T Mazhar, Y Arif, S Al-Otaibi, YY Ghadi… - IEEE …, 2024 - ieeexplore.ieee.org
Software defect prediction plays a crucial role in enhancing software quality while achieving
cost savings in testing. Its primary objective is to identify and send only defective modules to …

An empirical study on data sampling methods in addressing class imbalance problem in software defect prediction

BJ Odejide, AO Bajeh, AO Balogun… - Computer Science On …, 2022 - Springer
With the growing rate of software systems and their applications in diverse walks of life,
developing a software system that has no defects is a subject that cannot be …

Performance Analysis of Feature Selection Techniques in Software Defect Prediction using Machine Learning

K Anand, AK Jena, T Choudhary - … International Conference on …, 2022 - ieeexplore.ieee.org
Software Testing is an essential activity in the development process of a software product. A
defect-free software is the need of the hour. Identifying the defects as early as possible is …

Software defect prediction: an ML approach-based comprehensive study

K Anand, AK Jena - … , Software and Networks: Proceedings of INDIA 2022, 2022 - Springer
Software testing is a vital phase in the software development life cycle. Testing validates a
developed software against the input test cases by identifying the defects present in the …

Explainable Software Defect Prediction from Cross Company Project Metrics using Machine Learning

S Haldar, LF Capretz - 2023 7th International Conference on …, 2023 - ieeexplore.ieee.org
Predicting the number of defects in a project is critical for project test managers to allocate
budget, resources, and schedule for testing, support and maintenance efforts. Software …