AI-enabled strategies for climate change adaptation: protecting communities, infrastructure, and businesses from the impacts of climate change
Climate change is one of the most pressing global challenges we face today. The impacts of
rising temperatures, sea levels, and extreme weather events are already being felt around …
rising temperatures, sea levels, and extreme weather events are already being felt around …
Scientometric review on multiple climate-related hazards indices
As the spectre of climate change looms large, there is an increasing imperative to develop
comprehensive risk assessment tools. The purpose of this work is to evaluate the evolution …
comprehensive risk assessment tools. The purpose of this work is to evaluate the evolution …
[HTML][HTML] Automatic pavement damage predictions using various machine learning algorithms: Evaluation and comparison
R Nyirandayisabye, H Li, Q Dong, T Hakuzweyezu… - Results in …, 2022 - Elsevier
In recent years, different technologies based on Machine Learning (ML) algorithms have
been developed to evaluate road distress quality and help with pavement maintenance …
been developed to evaluate road distress quality and help with pavement maintenance …
Experimental evaluation of remote sensing–based climate change prediction using enhanced deep learning strategy
Climate change is one of the most pressing global challenges of our time, with far-reaching
impacts on ecosystems, economies, and human societies. Accurate prediction of climate …
impacts on ecosystems, economies, and human societies. Accurate prediction of climate …
[HTML][HTML] The future of the technology-based manufacturing in the European Union
AK Mallik - Results in Engineering, 2023 - Elsevier
The manufacturing industry tries to innovate always to cater to customer-oriented products.
The digitization of manufacturing is revolutionizing the future of this industry. The Industrial …
The digitization of manufacturing is revolutionizing the future of this industry. The Industrial …
[HTML][HTML] Smart sustainable greenhouses utilizing microcontroller and IOT in the GCC countries; energy requirements & economical analyses study for a concept model …
S Al-Naemi, A Al-Otoom - Results in Engineering, 2023 - Elsevier
A smart sustainable greenhouse concept model (SSGHCM) was built to demonstrate the
effectiveness and the profitability of using renewable energy and smart control systems in …
effectiveness and the profitability of using renewable energy and smart control systems in …
[HTML][HTML] Comparative analysis of hyperspectral image reconstruction using deep learning for agricultural and biological applications
Hyperspectral imaging (HSI) has become a key technology for non-invasive quality
evaluation in various fields, offering detailed insights through spatial and spectral data …
evaluation in various fields, offering detailed insights through spatial and spectral data …
[HTML][HTML] Comparison study of hardware architectures performance between FPGA and DSP processors for implementing digital signal processing algorithms …
The objective of this project is to make a detailed study on the Hardware architectures of
DSP and FPGA then to carry out a comparison between the two platforms in order to achieve …
DSP and FPGA then to carry out a comparison between the two platforms in order to achieve …
A novel multi-hazard risk assessment framework for coastal cities under climate change
Coastal cities, as centres of human habitation, economic activity and biodiversity, are
confronting the ever-escalating challenges posed by climate change. In this work, a novel …
confronting the ever-escalating challenges posed by climate change. In this work, a novel …
Assessing the potential of AI–ML in urban climate change adaptation and sustainable development
This study addresses a notable gap in the climate change literature by examining the
potential of artificial intelligence and machine learning (AI–ML) in urban climate change …
potential of artificial intelligence and machine learning (AI–ML) in urban climate change …