Solutions for Software Requirement Risks Using Artificial Intelligence Techniques

U Rahamathunnisa, P Subhashini… - … of Research on Data …, 2023 - igi-global.com
Software projects have a very high probability of failure, and a major reason for this is a poor
requirement engineering process. Requirement elicitation and documentation are the …

Comparative analysis of predictive machine learning algorithms for diabetes mellitus

K Kangra, J Singh - Bulletin of Electrical Engineering and Informatics, 2023 - beei.org
Diabetes mellitus (DM) is a serious worldwide health issue, and its prevalence is rapidly
growing. It is a spectrum of metabolic illnesses defined by perpetually increased blood …

[HTML][HTML] The potential global distribution of an emerging forest pathogen, Lecanosticta acicola, under a changing climate

N Ogris, R Drenkhan, P Vahalík, T Cech… - Frontiers in Forests …, 2023 - frontiersin.org
Brown spot needle blight (BSNB), caused by Lecanosticta acicola (Thüm.) Syd., is an
emerging forest disease of Pinus species originating from North America and introduced to …

[HTML][HTML] Software requirement risk prediction using enhanced fuzzy induction models

H Mamman, AO Balogun, S Basri, LF Capretz… - Electronics, 2023 - mdpi.com
The development of most modern software systems is accompanied by a significant level of
uncertainty, which can be attributed to the unanticipated activities that may occur throughout …

A deep intelligent framework for software risk prediction using improved firefly optimization

SK Pemmada, J Nayak, B Naik - Neural Computing and Applications, 2023 - Springer
For the success of a software project, early and precise discrimination of software
requirement risks are essential. Researchers have suggested several predictive methods …

Noise-Aware Quantum Software Testing

A Muqeet, T Yue, S Ali, P Arcaini - arXiv preprint arXiv:2306.16992, 2023 - arxiv.org
Quantum Computing (QC) promises computational speedup over classic computing for
solving some complex problems. However, noise exists in current and near-term quantum …

[HTML][HTML] Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed

Z Shaukat, W Zafar, W Ahmad, IU Haq, G Husnain… - Healthcare, 2023 - mdpi.com
The intricate and multifaceted nature of diabetes disrupts the body's crucial glucose
processing mechanism, which serves as a fundamental energy source for the cells. This …