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Masoud Jafari Shalamzari, Wanchang Zhang, Atefeh Gholami and Zhijie Zhang
Site selection for runoff harvesting at large scales is a very complex task. It requires inclusion and spatial analysis of a multitude of accurately measured parameters in a time-efficient manner. Compared with direct measurements of runoff, which is tim...
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Aliyye Kara, Ibrahim Eksin and Ata Mugan
The design optimization of structures can be conducted in either the time domain or the frequency domain. The frequency domain approach is advantageous compared to its time domain counterpart, especially if the degree of freedom is large, the objectives ...
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Huizhong Xiong, Xiaotong Gao, Ningyi Zhang, Haoxiong He, Weidong Tang, Yingqiu Yang, Yuqian Chen, Yang Jiao, Yihong Song and Shuo Yan
A novel deep learning model, DiffuCNN, is introduced in this paper, specifically designed for counting tobacco lesions in complex agricultural settings. By integrating advanced image processing techniques with deep learning methodologies, the model signi...
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Franz W Gatzweiler, Saroj Jayasinghe, José G Siri and Jason Corburn
The intensity and range of health challenges that people in cities are facing has increased in recent years. This is due in part to a failure to adequately adapt and respond to emergent and expanding global systemic risks, but also to a still-limited und...
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Cinthia Peraza, Patricia Ochoa, Oscar Castillo and Patricia Melin
The challenges we face in today?s world are increasingly complex, and effectively managing uncertainty when modeling control problems can yield significant benefits. However, the complexity of these models often leads to higher computational costs. There...
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Guo Li, Shuchun Huang, Wanqiu Lu, Junbo Liu, Shuiting Ding, Gong Zhang and Bo Zhen
Probabilistic failure risk analysis of aeroengine life-limited parts is of great significance for flight safety. Current probabilistic failure risk analysis uses equal amplitude load calculations for conservative estimation, avoiding inclusion of the int...
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Dimitris Gkoulis, Cleopatra Bardaki, George Kousiouris and Mara Nikolaidou
This paper focuses on Internet of Things (IoT) architectures and knowledge generation out of streams of events as the primary elements concerning the creation of user-centric IoT services. We provide a general, symmetrical IoT architecture, which enables...
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Yongjian Li, He Li, Dazhao Fan, Zhixin Li and Song Ji
Sea ice extraction and segmentation of remote sensing images is the basis for sea ice monitoring. Traditional image segmentation methods rely on manual sampling and require complex feature extraction. Deep-learning-based semantic segmentation methods hav...
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Hongxin Zhu, Yimin Zhu, Xiaoyi Zhang, Jian Chen, Mingyu Luo and Weiguang Huang
Performing online damage evaluation of blades subjected to complex cyclic loads based on the operating state of a gas turbine enables real-time reflection of a blade?s damage condition. This, in turn, facilitates the achievement of predictive maintenance...
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Marta Barón-Yusty, Ginés Benito Martínez-Hernández, María Ros-Chumillas, Laura Navarro-Segura and Antonio López-Gómez
(1) Background: New clean technologies are needed to reduce the high frying oil waste in the food industry of fried breaded products, together with the obtention of healthier (less fat content) and safer (less microbial growth and acrylamide formation) b...
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