Results 221 to 230 of about 1,621,058 (355)

Use of Hec-Ras Software to Analyze Floods in Joyoakan Urban Village, Surakarta City, Central Java

, 2023
Sigit Riswanto, Mahdika Putra Nanda
openalex   +2 more sources

Internet of Things‐Based Framework Application at a University Campus Scale: Linking Smart Monitoring Systems and Stormwater Management

Advanced Intelligent Discovery, EarlyView.
This study presents an Internet of Things‐based stormwater monitoring framework piloted at the University of Maryland campus to support Municipal Separate Stormwater Sewer System compliance and adaptive planning. Developed with key campus stakeholders, the framework integrates real‐time sensor deployment, data‐informed insights on runoff and water ...
Qianyao Si, Priscila B. R. Alves, Mitchell A. Pavao‐Zuckerman, Allen P. Davis, Tara Burke, Bryan S. Quinn, Elizabeth M. Bonsignore, Jennifer A. Cotting, Jason Baer, Kaitlyn Peterson, Pierre Gaunaurd, Tamara L. Clegg, David Loshin, Andrew M. Fellows, Taylor Keen, Gerrit J. Knaap, Marccus D. Hendricks   +16 more
wiley   +1 more source

GIS-integrated flood risk assessment for metro systems based on bayesian cosine maximization method: a case study in Beijing. [PDF]

Sci Rep
Luo A, Yang X, Li T, Liu B, Wang Z, Shu J.   +5 more
europepmc   +1 more source

A participatory systems dynamic modelling approach to understanding flood systems in a coastal community in Cameroon

Lum Sonita Awah, Johanes A. Belle, Yong Sebastian Nyam, Israel R. Orimoloye   +3 more
openalex   +1 more source

Predicting High‐Resolution Spatial and Spectral Features in Mass Spectrometry Imaging with Machine Learning and Multimodal Data Fusion

Advanced Intelligent Discovery, EarlyView.
A multimodal fusion pipeline predicts high‐resolution ion distributions in imaging mass spectrometry by integrating Fourier transform ion cyclotron resonance, time‐of‐flight matrix‐assisted laser desorption/ionization, and time‐of‐flight secondary ion mass spectrometry data.
Md Inzamam Ul Haque, Ramakrishnan Kannan, Jacob D. Hinkle, Sylwia A. Stopka, Anton V. Ievlev, Nathalie Y. R. Agar, Olga S. Ovchinnikova, Debangshu Mukherjee   +7 more
wiley   +1 more source

Comparative analysis of flood characteristic changes under Meiyu and typhoon rainfall in Zhejiang Province, China (1964-2021). [PDF]

Sci Rep
Qian JL, Wu YX, Qian ZS.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

A probabilistic GIS-based framework for urban flood risk assessment in Chengdu metro network. [PDF]

Sci Rep
Li Q, Ni T, Li L, Wen H, Xu J.
europepmc   +1 more source

Survival of submerged rice in a flood-prone region of West Africa

, 2011
Jun‐Ichi Sakagami, Naoyoshi Kawano
openalex   +2 more sources

Digital Agriculture: Past, Present, and Future

Advanced Intelligent Discovery, EarlyView.
Digital agriculture integrates Internet of Things, artificial intelligence, and blockchain to enhance efficiency and sustainability in farming. This review outlines its evolution, current applications, and future directions, highlighting both technological advances and key challenges for global implementation.
Xiaoding Wang, Chengxian Wu, Qibin Wu, Youxiong Que   +3 more
wiley   +1 more source