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Development of QSAR-based (MLR/ANN) predictive models for effective design of pyridazine corrosion inhibitors
Twenty pyridazine derivatives with previously reported experimental data were utilized to
develop predictive models for the anticorrosion abilities of pyridazine-based compounds …
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
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 …
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
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 …
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)
Background: Pulmonary hypertension (PH) is a complex condition associated with
significant morbidity and mortality. Traditional diagnostic and management approaches for …
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 …
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
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 …
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
Soil moisture information is important for a wide range of applications including hydrologic
modelling, climatic modelling and agriculture. L-band passive microwave satellite remote …
modelling, climatic modelling and agriculture. L-band passive microwave satellite remote …
Students' adaptability level prediction in online education using machine learning approaches
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** …
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
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 …
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 …
role in today's society. As a result, the number of users networks traffic increases but not …