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Junbing Liu, Maohui Zheng, Jinwei Gao, Xinshu Wang, Hu Zhang and Simin Jiang
This article addresses the challenge of simulating rainstorm waterlogging in urban-scale areas where reliable drainage pipe network data are often lacking. Although methods have been developed to tackle this issue, there remains a gap in their effectiven...
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Nurullah Bektas and Maysam Shmlls
Product sustainability has moved beyond being an elective preference to becoming a certain necessity. However, earthquakes in different regions, particularly Türkiye?Syria, Afghanistan, and Morocco, have produced a substantial amount of construction wast...
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Yu Yao and Quan Qian
We develop the online process parameter design (OPPD) framework for efficiently handling streaming data collected from industrial automation equipment. This framework integrates online machine learning, concept drift detection and Bayesian optimization t...
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Mohamed A. Damos, Jun Zhu, Weilian Li, Elhadi Khalifa, Abubakr Hassan, Rashad Elhabob, Alaa Hm and Esra Ei
Social media platforms play a vital role in determining valuable tourist objectives, which greatly aids in optimizing tourist path planning. As data classification and analysis methods have advanced, machine learning (ML) algorithms such as the k-means a...
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Varsha S. Lalapura, Veerender Reddy Bhimavarapu, J. Amudha and Hariram Selvamurugan Satheesh
The Recurrent Neural Networks (RNNs) are an essential class of supervised learning algorithms. Complex tasks like speech recognition, machine translation, sentiment classification, weather prediction, etc., are now performed by well-trained RNNs. Local o...
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Khalid Alnajim and Ahmed A. Abokifa
In the wake of the terrorist attacks of 11 September 2001, extensive research efforts have been dedicated to the development of computational algorithms for identifying contamination sources in water distribution systems (WDSs). Previous studies have ext...
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Linghui Hu, Na Yao, Chengxin Wang, Liting Yang, Gulden Serekbol, Bin Huo, Xuelian Qiu, Fangze Zi, Yong Song and Shengao Chen
To study the morphological differences between and the evolutionary mechanisms driving the differentiation of geographically distinct populations of Gymnodiptychus dybowskii, 158 fish were collected from the Turks River and the Manas River in Xinjiang fr...
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Khin Thanda Win, Moe Moe Hlaing, Aye Lae Lae Hlaing, Zin Thu Zar Maung, Khaing Nwe Oo, Thinzar Nwe, Sandar Moe, Thein Lin, Ohm Mar Saw, Thado Aung, Mai Swe Swe, San Mar Lar, Ei Shwe Sin, Yoshiyuki Yamagata, Enrique R. Angeles, Yuji Matsue, Hideshi Yasui, Min San Thein, Naing Kyi Win, Motoyuki Ashikari and Atsushi YoshimuraaddShow full author listremoveHide full author list
Paw San Hmwe (PSH) is an indigenous rice variety from Myanmar with a good taste, a pleasant fragrance, and excellent elongation ability during cooking. However, its low yield potential and strong photoperiod sensitivity reduce its productivity, and it is...
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Ying Liu, Wenjing Shen, Kaixuan Fan, Weihao Pei and Shaomin Liu
The impacts of heavy metal pollution in arable soil on agricultural production, environmental health, and the wellbeing of urban and rural residents cannot be overlooked. It has become a significant bottleneck in achieving comprehensive rural revitalizat...
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Vincenzo Barbuto, Claudio Savaglio, Min Chen and Giancarlo Fortino
The Edge Intelligence (EI) paradigm has recently emerged as a promising solution to overcome the inherent limitations of cloud computing (latency, autonomy, cost, etc.) in the development and provision of next-generation Internet of Things (IoT) services...
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