Election prediction on twitter: a systematic mapping study

A Khan, H Zhang, N Boudjellal, A Ahmad, J Shang… - …, 2021 - Wiley Online Library
Context. Social media platforms such as Facebook and Twitter carry a big load of people's
opinions about politics and leaders, which makes them a good source of information for …

Software risk prediction: systematic literature review on machine learning techniques

MH Mahmud, MTH Nayan, DMNA Ashir, MA Kabir - Applied Sciences, 2022 - mdpi.com
The Software Development Life Cycle (SDLC) includes the phases used to develop
software. During the phases of the SDLC, unexpected risks might arise due to a lack of …

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 …

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 …

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 …

A Novel Categorization of Key Predictive Factors Impacting Hotels' Online Ratings: A Case of Makkah

HP Singh, IA Alhamad - Sustainability, 2022 - mdpi.com
In the present Internet age, customers have turned to online booking websites to meet their
demand for quality hotel services and convey their experiences. As hotels can survive and …

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 …

Framework for prediction and classification of non functional requirements: a novel vision

N Handa, A Sharma, A Gupta - Cluster Computing, 2022 - Springer
Requirement Engineering has radicalized data analytics by playing a pivotal role in
planning requirements strategies and activities. It has emerged as a leading domain of …

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] Application of maximum entropy for mineral prospectivity mapping in heavily vegetated areas of Greater Kurile Chain with Landsat 8 data

S Shevyrev, EJM Carranza - Ore geology reviews, 2022 - Elsevier
Exploration for strategic mineral resources, like precious metals, in remote areas of the
Greater Kurile Chain is challenging. Climate and weather conditions, dissected relief, soil …