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Philipp Kilham, Gerald Kändler, Christoph Hartebrodt, Anne-Sophie Stelzer and Ulrich Schraml
Forest growth and wood supply projections are increasingly used to estimate the future availability of woody biomass and the correlated effects on forests and climate. This research parameterizes an inventory-based business-as-usual wood supply scenario,...
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Mantas Bacevicius and Agne Paulauskaite-Taraseviciene
Various machine learning algorithms have been applied to network intrusion classification problems, including both binary and multi-class classifications. Despite the existence of numerous studies involving unbalanced network intrusion datasets, such as ...
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Guanwei Shi, Xin Du, Mingwei Du, Qiangzi Li, Xiaoli Tian, Yiting Ren, Yuan Zhang and Hongyan Wang
Cotton constitutes 81% of the world?s natural fibers. Accurate and rapid cotton yield estimation is important for cotton trade and agricultural policy development. Therefore, we developed a remote sensing index that can intuitively represent cotton boll ...
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Jun Zhai, Donald L. Grebner, Robert K. Grala, Zhaofei Fan and Ian A. Munn
Invasive tree species cause increasing damage to the environment and local economies. Previous studies have seldom treated the presence and abundance of invasive species as different phenomena. Using Classification and Regression Trees (CART) analysis, i...
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Getachew B. Demisse, Tsegaye Tadesse, Solomon Atnafu, Shawndra Hill, Brian D. Wardlow, Yared Bayissa and Andualem Shiferaw
The objective of this study was to develop information mining methodology for drought modeling and predictions using historical records of climate, satellite, environmental, and oceanic data. The classification and regression tree (CART) approach was use...
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Nélia Pereira Cabete, Margarida G. M. S. Cardoso
Pág. 11 - 27
O algoritmo CART-Classification and Regression Trees é aplicado na previsão das classificações de matemática associadas a uma amostra de alunos do ensino secundário. São modeladas, separadamente, as observações respeitantes a alunos do ensino secundário ...
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Zhen Liu, Qifeng Yang, Anlue Wang and Xingyu Gu
In the process of driving in an underground interchange, drivers are faced with many challenges, such as being in a closed space, visual changes alternating between light and dark conditions, complex road conditions in the confluence section, and dense s...
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Katayoon Kiany, Abolfazl Baghbani, Hossam Abuel-Naga, Hasan Baghbani, Mahyar Arabani and Mohammad Mahdi Shalchian
This study examines the potential of the soft computing technique, namely, multiple linear regression (MLR), genetic programming (GP), classification and regression trees (CART) and GA-ENN (genetic algorithm-emotional neuron network), to predict the ulti...
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Fan Zhang, Melissa Petersen, Leigh Johnson, James Hall, Raymond F. Palmer, Sid E. O?Bryant and on behalf of the Health and Aging Brain Study (HABS?HD) Study Team
The Health and Aging Brain Study?Health Disparities (HABS?HD) project seeks to understand the biological, social, and environmental factors that impact brain aging among diverse communities. A common issue for HABS?HD is missing data. It is impossible to...
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Sanjiwana Arjasakusuma, Sandiaga Swahyu Kusuma, Raihan Rafif, Siti Saringatin and Pramaditya Wicaksono
The rise of Google Earth Engine, a cloud computing platform for spatial data, has unlocked seamless integration for multi-sensor and multi-temporal analysis, which is useful for the identification of land-cover classes based on their temporal characteris...
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Firgan Feradov, Iosif Mporas and Todor Ganchev
There is a strong correlation between the like/dislike responses to audio?visual stimuli and the emotional arousal and valence reactions of a person. In the present work, our attention is focused on the automated detection of dislike responses based on E...
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Le Thi Le, Hoang Nguyen, Jian Zhou, Jie Dou and Hossein Moayedi
In this study, a novel technique to support smart city planning in estimating and controlling the heating load (HL) of buildings, was proposed, namely PSO-XGBoost. Accordingly, the extreme gradient boosting machine (XGBoost) was developed to estimate HL ...
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Hoang-Bac Bui, Hoang Nguyen, Yosoon Choi, Xuan-Nam Bui, Trung Nguyen-Thoi and Yousef Zandi
Gross calorific value (GCV) is one of the essential parameters for evaluating coal quality. Therefore, accurate GCV prediction is one of the primary ways to improve heating value as well as coal production. A novel evolutionary-based predictive system wa...
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Seyed Amir Naghibi, Mehdi Vafakhah, Hossein Hashemi, Biswajeet Pradhan and Seyed Jalil Alavi
It is a well-known fact that sustainable development goals are difficult to achieve without a proper water resources management strategy. This study tries to implement some state-of-the-art statistical and data mining models i.e., weights-of-evidence (Wo...
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Wenyuan Zhang, Guoxin Tan, Songyin Zheng, Chuanming Sun, Xiaohan Kong and Zhaobin Liu
The availability of very high spatial resolution (VHR) remote sensing imagery provides unique opportunities to exploit meaningful change information in detail with object-oriented image analysis. This study investigated land cover (LC) changes in Shahu L...
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Baolei Lyu, Yuzhong Zhang and Yongtao Hu
Chinese cities are experiencing severe air pollution in particular, with extremely high PM2.5 levels observed in cold seasons. Accurate forecasting of occurrence of such air pollution events in advance can help the community to take action to abate emiss...
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Mario De Luca, Francesco Abbondati, Monica Pirozzi, Daiva ?ilioniene
Pág. 3751 - 3760
Surfaces of airport pavements are subject to the friction decay phenomenon. A recurrent problem for the runways is represented by the deposits of vulcanized rubber of aircraft tires. This happens mainly in the touch-down areas during landing operations, ...
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Esther Merlo,Juan G. Alvarez,Oscar Santaclara,Guillermo Riesco
Pág. 153 - 166
Aim of study: Modelling the structural quality of Pinus pinaster Ait. wood on the basis of measurements made on standing trees is essential because of the importance of the species in the Galician forestry and timber industries and the good mechanical pr...
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