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Piotr Kanarek, Barbara Breza-Boruta, Mateusz Pawlowski and Miroslaw Kobierski
Excessive agricultural intensification adversely affects soil quality, particularly in hilly terrain, leading to increased erosion. Anthropogenic denudation, intensified by tillage erosion, results in the displacement of soil material from hilltops and s...
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Iwona Jaskulska, Joanna Lemanowicz, Bozena Debska, Dariusz Jaskulski and Barbara Breza-Boruta
The aim of the study was to determine the impact that three cultivation systems?conventional till (CT), reduced till (RT), and strip-till one-pass (ST-OP)?had on the biological parameters of the soil and their relationships with organic matter properties...
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Yiming Zhao and Jing Dong-O?Brien
Traffic breakdown is the transition of traffic flow from an uncongested state to a congested state. During peak hours, when a large number of on-ramp vehicles merge with mainline traffic, it can cause a significant drop in speed and subsequently lead to ...
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Md Arafat Habib, Cheol Hong Kim and Jong-Myon Kim
This study aims at characterizing crack types for reinforced concrete beams through the use of acoustic emission burst (AEB) features. The study includes developing a solid crack assessment indicator (CAI) accompanied by a crack detection method using th...
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Bhoj Raj Ghimire, Masahiko Nagai, Nitin Kumar Tripathi, Apichon Witayangkurn, Bhogendra Mishara and Nophea Sasaki
Mapping forest types in a natural heterogeneous forest environment using remote sensing data is a long-standing challenge due to similar spectral reflectance from different tree species and significant time and resources are required for acquiring and pr...
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Yiping Peng, Ting Wang, Shujuan Xie, Zhenhua Liu, Chenjie Lin, Yueming Hu, Jianfang Wang and Xiaoyun Mao
Soil exchange cations are a basic indicator of soil quality and environmental clean-up potential. The accurate and efficient acquisition of information on soil cation content is of great importance for the monitoring of soil quality and pollution prevent...
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Muhammad Shoaib Arif, Aiman Mukheimer and Daniyal Asif
Clinical decision-making in chronic disorder prognosis is often hampered by high variance, leading to uncertainty and negative outcomes, especially in cases such as chronic kidney disease (CKD). Machine learning (ML) techniques have emerged as valuable t...
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Mousumi Bala, Mohammad Hanif Ali, Md. Shahriare Satu, Khondokar Fida Hasan and Mohammad Ali Moni
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that severely impairs an individual?s cognitive, linguistic, object recognition, communication, and social abilities. This situation is not treatable, although early detection of ASD can ass...
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Mingfei Wang, Xiangshu Kong, Feifei Shan, Wengang Zheng, Pengfei Ren, Jiaoling Wang, Chunling Chen, Xin Zhang and Chunjiang Zhao
Temperature has a significant impact on the production of edible mushrooms. The industrial production of edible mushrooms is committed to accurately maintaining the temperature inside the mushroom room within a certain range to achieve quality and effici...
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Armin Rashidi Nasab and Hazem Elzarka
The deterioration of a bridge?s deck endangers its safety and serviceability. Ohio has approximately 45,000 bridges that need to be monitored to ensure their structural integrity. Adequate prediction of the deterioration of bridges at an early stage is c...
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Kieu Anh Nguyen and Walter Chen
Soil erosion is a form of land degradation. It is the process of moving surface soil with the action of external forces such as wind or water. Tillage also causes soil erosion. As outlined by the United Nations Sustainable Development Goal (UN SDG) #15, ...
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Fabián Santos-García, Karina Delgado Valdivieso, Andreas Rienow and Joaquín Gairín
Academic performance (AP) is explained by a multitude of factors, principally by those related to socioeconomic, cultural, and educational environments. However, AP is less understood from a spatial perspective. The aim of this study was to investigate a...
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Sanjiwana Arjasakusuma, Sandiaga Swahyu Kusuma and Stuart Phinn
Machine learning has been employed for various mapping and modeling tasks using input variables from different sources of remote sensing data. For feature selection involving high- spatial and spectral dimensionality data, various methods have been devel...
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