Development of QSAR-based (MLR/ANN) predictive models for effective design of pyridazine corrosion inhibitors

TW Quadri, LO Olasunkanmi, ED Akpan… - Materials Today …, 2022 - Elsevier
Twenty pyridazine derivatives with previously reported experimental data were utilized to
develop predictive models for the anticorrosion abilities of pyridazine-based compounds …

[PDF][PDF] A comprehensive review of the key deterioration factors of concrete bridge decks

A Ibrahim, S Abdelkhalek, T Zayed, AH Qureshi… - Buildings, 2024 - researchgate.net
Bridges are generally acknowledged as one of the vital structures of transportation systems.
Meanwhile, they are prone to time-variant damage and deterioration mechanisms over their …

Field-scale rice yield prediction from Sentinel-2 monthly image composites using machine learning algorithms

NT Son, CF Chen, YS Cheng, P Toscano, CR Chen… - Ecological …, 2022 - Elsevier
Abstract Machine learning (ML) along with high volume of satellite images offers an
alternative to agronomists in crop yield predictions for decision support systems. This …

[HTML][HTML] A Comprehensive Review of Artificial Intelligence (AI) Applications in Pulmonary Hypertension (PH)

S Attaripour Esfahani, N Baba Ali, JM Farina, IG Scalia… - Medicina, 2025 - mdpi.com
Background: Pulmonary hypertension (PH) is a complex condition associated with
significant morbidity and mortality. Traditional diagnostic and management approaches for …

[HTML][HTML] Patterns of green space change and fragmentation in a rapidly expanding city of northern Ghana, West Africa

T Namwinbown, ZA Imoro, CAA Weobong… - City and Environment …, 2024 - Elsevier
Green spaces such as forests, grasslands, and croplands (including gardens) can be found
in urban environments. Although they benefit human and animal well-being, they have …

[HTML][HTML] Neural network predictive models for alkali-activated concrete carbon emission using metaheuristic optimization algorithms

Y Aydın, C Cakiroglu, G Bekdaş, Ü Işıkdağ, S Kim… - Sustainability, 2023 - mdpi.com
Due to environmental impacts and the need for energy efficiency, the cement industry aims
to make more durable and sustainable materials with less energy requirements without …

Estimating catchment scale soil moisture at a high spatial resolution: Integrating remote sensing and machine learning

IP Senanayake, IY Yeo, JP Walker… - Science of The Total …, 2021 - Elsevier
Soil moisture information is important for a wide range of applications including hydrologic
modelling, climatic modelling and agriculture. L-band passive microwave satellite remote …

Students' adaptability level prediction in online education using machine learning approaches

MH Suzan, NA Samrin, AA Biswas… - 2021 12th …, 2021 - ieeexplore.ieee.org
Online Education has become a buzzword since the COVID-19 hit the World. Most of the
educational institutions went online to continue educational activities while develo** …

Prediction and forecast of pre-monsoon and post-monsoon groundwater level: using deep learning and statistical modelling

A Kochhar, H Singh, S Sahoo, PK Litoria… - Modeling Earth Systems …, 2022 - Springer
Abstract Information about the seasonal groundwater allocation and utilization is essential to
effectively manage the stress on the groundwater table of Punjab (India). Modelling and …

[PDF][PDF] Applying machine learning approaches for network traffic forecasting

S Prajam, C Wechtaisong, AA Khan - Indian Journal of Computer …, 2022 - researchgate.net
In the era of the digital world. The communication and the use the internet is an important
role in today's society. As a result, the number of users networks traffic increases but not …