|
|
|
Andrea Momblanch, Ian P. Holman and Sanjay K. Jain
Global change is expected to have a strong impact in the Himalayan region. The climatic and orographic conditions result in unique modelling challenges and requirements. This paper critically appraises recent hydrological modelling applications in Himala...
ver más
|
|
|
|
|
|
|
Philipp Spelten, Morten-Christian Meyer, Anna Wagner, Klaus Wolf and Dirk Reith
Integrating physical simulation data into data ecosystems challenges the compatibility and interoperability of data management tools. Semantic web technologies and relational databases mostly use other data types, such as measurement or manufacturing des...
ver más
|
|
|
|
|
|
|
Meiling Sheng, A-Xing Zhu, Tianwu Ma, Xufeng Fei, Zhouqiao Ren and Xunfei Deng
Global climate change is a serious threat to food and energy security. Crop growth modelling is an important tool for simulating crop food production and assisting in decision making. Planting date is one of the important model parameters. Larger-scale s...
ver más
|
|
|
|
|
|
|
Cagri Alperen Inan, Ammar Maoui, Yann Lucas and Joëlle Duplay
Water resource management scenarios have become more crucial for arid to semi-arid regions. Their application prerequisites rigorous hydrological modelling approaches since data are usually exposed to uncertainties and inaccuracies. In this work, Soil Wa...
ver más
|
|
|
|
|
|
|
Ala?a Saleh Alshdiefat, Ahlam Ammar Sharif, Noor-Alhuda Mohammad Abu Ghunmi, Angela Lee and Muhammad Qasim Rana
The persistent underrepresentation of women in leadership positions within the construction industry remains a global concern. In Jordan, despite comprising 60.45% and 22.4% of the total workforce of architects and civil engineers, respectively, women?s ...
ver más
|
|
|
|
|
|
|
Jing Liu, Xuesong Hai and Keqin Li
Massive amounts of data drive the performance of deep learning models, but in practice, data resources are often highly dispersed and bound by data privacy and security concerns, making it difficult for multiple data sources to share their local data dir...
ver más
|
|
|
|
|
|
|
Yufeng Wang, Xue Chen and Feng Xue
Spatial epidemiology investigates the patterns and determinants of health outcomes over both space and time. Within this field, Bayesian spatiotemporal models have gained popularity due to their capacity to incorporate spatial and temporal dependencies, ...
ver más
|
|
|
|
|
|
|
Bright Addae and Suzana Dragicevic
Deforestation as a land-cover change process is linked to several environmental problems including desertification, biodiversity loss, and ultimately climate change. Understanding the land-cover change process and its relation to human?environment intera...
ver más
|
|
|
|
|
|
|
Rebecca Sarku, Ulfia A. Clemen and Thomas Clemen
Emerging technologies associated with Artificial Intelligence (AI) have enabled improvements in global food security situations. However, there is a limited understanding regarding the extent to which stakeholders are involved in AI modelling research fo...
ver más
|
|
|
|
|
|
|
Ben Farr-Wharton, Tim Bentley, Leigh-ann Onnis, Carlo Caponecchia, Abilio De Almeida Neto, Sharron O?Neill and Catherine Andrew
At a time where there are ageing populations, global shortages of skilled labour, and migration pathways impacted by the COVID-19 pandemic, retaining older workers presents as a vital strategic initiative for organizations globally. This study examines t...
ver más
|
|
|
|