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Ana Corceiro, Nuno Pereira, Khadijeh Alibabaei and Pedro D. Gaspar
The global population?s rapid growth necessitates a 70% increase in agricultural production, posing challenges exacerbated by weed infestation and herbicide drawbacks. To address this, machine learning (ML) models, particularly convolutional neural netwo...
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Guang Han, Ping Zhai, Liqun Zhu and Kongqing Li
With the economic development and rising living standards in rural China, the amount of household waste generated continues to increase, causing serious pollution to the environment and risks to public health. Promoting the classification of rural househ...
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Andry Alamsyah and Nadhif Ditertian Girawan
The disposability of clothing has emerged as a critical concern, precipitating waste accumulation due to product quality degradation. Such consequences exert significant pressure on resources and challenge sustainability efforts. In response, this resear...
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Iris Viana dos Santos Santana, Álvaro Sobrinho, Leandro Dias da Silva and Angelo Perkusich
This study compares the performance of machine learning models for selecting COVID-19 and influenza tests during coexisting outbreaks in Brazil, avoiding the waste of resources in healthcare units. We used COVID-19 and influenza datasets from Brazil to t...
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Jun Wu, Xinyi Sun, Lei Qu, Xilan Tian and Guangyu Yang
Recently, deep learning tools have made significant progress in hyperspectral image (HSI) classification. Most of existing methods implement a patch-based classification manner which may cause training test information leakage or waste labeled informatio...
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Mark Geiger, Daniel Hock and Konrad Nübel
The building industry faces a number of prominent challenges in the coming period. In this article, we focus on productivity in construction, which lags behind other industries despite technological developments. There is an urgent need for more efficien...
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Xiaohong Yin, Jun Song and Qiang Liu
The carbon-neutral behavior of building construction companies is a key issue in carbon-neutral research worldwide. However, little is known about the willingness of construction firms to segregate and recycle construction waste. After studying a large a...
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Enoc Tapia-Mendez, Irving A. Cruz-Albarran, Saul Tovar-Arriaga and Luis A. Morales-Hernandez
Food waste is a global concern and is the focus of this research. Currently, no method in the state of the art classifies multiple fruits and vegetables and their level of ripening. The objective of the study is to design and develop an intelligent syste...
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Hefdhallah S. Al-Aizari, Ayman A. Ghfar, Ali R. Al-Aizari, Abdul-Jaleel M. Al-Aizari, Mohamed Sheikh Moshab and Mika Sillanpää
Groundwater is a critical resource for various human activities, yet it faces contamination risks from agricultural, industrial, and domestic sources. This study aimed to evaluate groundwater in Morocco?s Sidi Allal region using the groundwater pollution...
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Dingde Xu, Chen Qing, Yang Chen, Jia He and Fengwan Zhang
Garbage classification is significant to alleviate the pressure of household waste management in rural areas and promote green development. Based on the micro survey data of 2228 households in rural areas of Jiangsu Province, this paper discusses the imp...
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