|
|
|
|
|
MohammadHossein Reshadi, Wen Li, Wenjie Xu, Precious Omashor, Albert Dinh, Scott Dick, Yuntong She and Michael Lipsett
Anomaly detection in data streams (and particularly time series) is today a vitally important task. Machine learning algorithms are a common design for achieving this goal. In particular, deep learning has, in the last decade, proven to be substantially ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Christogonus U. Onukwube, Daniel O. Aikhuele and Shahryar Sorooshian
Water distribution networks are complex systems that aid in the delivery of water to residential and non-residential areas. However, the networks can be affected by different types of faults, which could lead to the wastage of treated water. As such, the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fahad Alqahtani, Mohammed Almutairi and Frederick T. Sheldon
This study provides a comprehensive review and comparative analysis of existing Information Flow Tracking (IFT) tools which underscores the imperative for mitigating data leakage in complex cloud systems. Traditional methods impose significant overhead o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Daniel Barros, Isabela Almeida, Ariele Zanfei, Gustavo Meirelles, Edevar Luvizotto, Jr. and Bruno Brentan
Leakages in distribution networks reach more than 30% of the water supplied, entailing important risks for the water infrastructure with water contamination issues. Therefore, it is necessary to develop new methods to mitigate the amount of water wastes....
ver más
|
|
|
|
|
|
|
|
|
|
|
Uma Rajasekaran, Mohanaprasad Kothandaraman and Chang Hong Pua
Significant water loss caused by pipeline leaks emphasizes the importance of effective pipeline leak detection and localization techniques to minimize water wastage. All of the state-of-the-art approaches use deep learning (DL) for leak detection and cro...
ver más
|
|
|
|
|
|
|
|
|
|
|
Manuel Boebel, Fabian Frei, Frank Blumensaat, Christian Ebi, Marcel Louis Meli and Andreas Rüst
Drinking water is becoming increasingly scarce as the world?s population grows and climate change continues. However, there is great potential to improve drinking water pipelines, as 30% of fresh water is lost between the supplier and consumer. While sys...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jinbo Zhou, Shan Zeng, Yulong Chen, Zhen Kang, Hao Li and Zhongyin Sheng
The problem of small and multi-object polished rice image segmentation has always been one of importance and difficulty in the field of image segmentation. In the appearance quality detection of polished rice, image segmentation is a crucial part, direct...
ver más
|
|
|
|
|
|
|
|
|
|
|
Artem Alekseevich Khalturin, Konstantin Dmitrievich Parfenchik and Vadim Anatolievich Shpenst
Given that the recent rapid growth of offshore production, especially in the Arctic region of the Russian Federation, is causing increased concern about oil spills on the water surface, this issue is especially relevant and important today. These polluta...
ver más
|
|
|
|
|
|
|
|
|
|
|
José García, Andres Leiva-Araos, Emerson Diaz-Saavedra, Paola Moraga, Hernan Pinto and Víctor Yepes
Water infrastructure integrity, quality, and distribution are fundamental for public health, environmental sustainability, economic development, and climate change resilience. Ensuring the robustness and quality of water infrastructure is pivotal for sec...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fengming Du, Cong Li and Weiwei Wang
Oil and gas exploration is a sector which drives the global economy and currently contributes significantly to global economic development. The safety of subsea pipelines is deeply affected by factors such as pipeline buckling, corrosion and leakage. Onc...
ver más
|
|
|
|
|
|