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Suhas M.V,Swathi B.P
In an attempt to develop a system to classify the wild animals using image processing and classification techniques, we study the usage of Haralick textural features are used in wild animal classification which is a computer aided pattern recognition sys...
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Xiaoxiao Zhang, Guodong Liu, Hantao Wang and Xiaodong Li
In this paper, we applied the support vector machine (SVM) to the spatial interpolation of the multi-year average annual precipitation in the Three Gorges Region basin. By combining it with the inverse distance weighting and ordinary kriging method, we c...
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Xiaoxiao Zhang, Guodong Liu, Hantao Wang, Xiaodong Li
Pág. 1 - 21
In this paper, we applied the support vector machine (SVM) to the spatial interpolation of the multi-year average annual precipitation in the Three Gorges Region basin. By combining it with the inverse distance weighting and ordinary kriging method, we c...
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Wei Zhao, Zilong Wang, Haiyang Zhang and Ting Wang
The deformation of concrete-face rockfill dams (CFRDs) is a key parameter for the safety control of reservoir and dam systems. Rapid and accurate estimation of the deformation characteristics of CFRDs is a top priority. To realize this, we proposed a new...
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Bin Li, Yuqi Wang, Lisha Li and Yande Liu
Machine learning is used widely in near-infrared spectroscopy (NIRS) for fruit qualification. However, the directly split training set used contains redundant samples, and errors may be introduced into the model. Euclidean distance-based and K-nearest ne...
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Yuling Ruan, Yanhong Zou, Minghui Chen and Jingya Shen
Urban area hotspots are considered to be an ideal proxy for spatial heterogeneity of human activity, which is vulnerable to urban expansion. Nighttime light (NTL) images have been extensively employed in monitoring current urbanization dynamics. However,...
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Amgad Muneer and Suliman Mohamed Fati
The advent of social media, particularly Twitter, raises many issues due to a misunderstanding regarding the concept of freedom of speech. One of these issues is cyberbullying, which is a critical global issue that affects both individual victims and soc...
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Jesús F. Pérez-Gómez, Juana Canul-Reich, José Hernández-Torruco and Betania Hernández-Ocaña
Requiring only a few relevant characteristics from patients when diagnosing bacterial vaginosis is highly useful for physicians as it makes it less time consuming to collect these data. This would result in having a dataset of patients that can be more a...
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Aliyu Abubakar
Burn is a devastating injury affecting over eleven million people worldwide and more than 265,000 affected individuals lost their lives every year. Low- and middle-income countries (LMICs) have surging cases of more than 90% of the total global incidence...
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Mahmoud Reza Delavar, Amin Gholami, Gholam Reza Shiran, Yousef Rashidi, Gholam Reza Nakhaeizadeh, Kurt Fedra and Smaeil Hatefi Afshar
Environmental pollution has mainly been attributed to urbanization and industrial developments across the globe. Air pollution has been marked as one of the major problems of metropolitan areas around the world, especially in Tehran, the capital of Iran,...
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Xiaoke Wang, Guiling Xu, Yuehua Feng, Jinfeng Peng, Yuqi Gao, Jie Li, Zhili Han, Qiangxin Luo, Hongjun Ren, Xiaoxuan You and Wei Lu
Accurately estimating aboveground dry biomass (ADB) is crucial. The ADB of rice has primarily been estimated using vegetation indices with several discrete bands; nevertheless, these indices cannot take advantage of continuous bands available with hypers...
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Shamim Younas, Faisal Rehman, Tahir Maqsood, Saad Mustafa, Adnan Akhunzada and Abdullah Gani
Vehicle ad hoc networks (VANETs) are vital towards the success and comfort of self-driving as well as semi-automobile vehicles. Such vehicles rely heavily on data management and the exchange of Cooperative Awareness Messages (CAMs) for external communica...
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Ashokkumar Palanivinayagam and Robertas Dama?evicius
The existence of missing values reduces the amount of knowledge learned by the machine learning models in the training stage thus affecting the classification accuracy negatively. To address this challenge, we introduce the use of Support Vector Machine ...
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Negar Orangi-Fard, Alireza Akhbardeh and Hersh Sagreiya
Predicting ICU readmission risk will help physicians make decisions regarding discharge. We used discharge summaries to predict ICU 30-day readmission risk using text mining and machine learning (ML) with data from the Medical Information Mart for Intens...
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Liyuan Zhang, Xiaoying Song, Yaxiao Niu, Huihui Zhang, Aichen Wang, Yaohui Zhu, Xingye Zhu, Liping Chen and Qingzhen Zhu
As prior information for precise nitrogen fertilization management, plant nitrogen content (PNC), which is obtained timely and accurately through a low-cost method, is of great significance for national grain security and sustainable social development. ...
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Seongkeun Park and Jieun Byun
Background: Post-prostatectomy incontinence (PPI) is a major complication that can significantly decrease quality of life. Approximately 20% of patients experience consistent PPI as long as 1 year after radical prostatectomy (RP). This study develops a p...
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Rashida Salimova, Peyman Pourafshary and Lei Wang
Low salinity water (LSW) injection is a promising Enhanced Oil Recovery (EOR) technique that has the potential to improve oil recovery and has been studied by many researchers. LSW flooding in carbonates has been widely evaluated by coreflooding tests in...
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Hossein Moayedi, Dieu Tien Bui, Bahareh Kalantar and Loke Kok Foong
In this paper, the authors investigated the applicability of combining machine-learning-based models toward slope stability assessment. To do this, several well-known machine-learning-based methods, namely multiple linear regression (MLR), multi-layer pe...
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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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Hani Harafani,Romi Satria Wahono
Pág. 82 - 90
Kebakaran hutan merupakan salah satu masalah lingkungan yang mengancam hutan, menimbulkan dampak negatif pada lingkungan, menciptakan masalah ekonomi, dan kerusakan ekologis, serta menyebabkan kerugian penting di seluruh dunia setiap tahunnya. Estimasi a...
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