Exploiting self-organization and fault tolerance in wireless sensor networks: A case study on wildfire detection application by Felipe Taliar Giuntini, Delano Medeiros Beder, Jó Ueyama

“…Wireless sensor networks have been shown to be a good alternative for environmental monitoring applications, as they can collect and send information in real time, such as humidity, wind, and temperature of various parts of the forest. Due to problems such as power limitation, communication failure, and loss of nodes, the network topology is constantly changing, requiring mechanisms to achieve self-organization and fault tolerance. …”
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Sub-critical water as a green solvent for production of valuable materials from agricultural waste biomass: A review of recent work by A. Shitu, S. Izhar, T. M. Tahir

“…The utilization of biomass residue from agriculture, forest wood production and from food and feed processing industry may be an important alternative renewable energy supply. …”
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Complete genome of mangrove-derived anti-MRSA streptomycete, Streptomyces pluripotens MUSC 135T by Hooi-Leng Ser, Kok-Gan Chan, Wen-Si Tan, Wai-Fong Yin, Bey-Hing Goh, Nurul-Syakima Ab Mutalib, Learn-Han Lee

“…Streptomyces pluripotens MUSC 135T was isolated as novel strain from mangrove forest in Malaysia. This strain exhibited broad spectrum bacteriocin against several pathogens including methicillin-resistant Staphylococcus aureus (MRSA) strain ATCC BAA-44, Salmonella typhi ATCC 19430T and Aeromonas hydrophila ATCC 7966T. …”
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Preventing Escape of Non-Native Species from Aquaculture Facilities in Florida, Part 4: Operational Strategies by Quenton M. Tuckett, Carlos V. Martinez, Jared L. Ritch, Katelyn M. Lawson, Jeffery E. Hill

“…Hill, and published by the School of Forest Resources and Conservation, Program in Fisheries and Aquatic Sciences, August 2016. …”
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Data-Driven Machine-Learning Model in District Heating System for Heat Load Prediction: A Comparison Study by Fisnik Dalipi, Sule Yildirim Yayilgan, Alemayehu Gebremedhin

“…The algorithms examined are Support Vector Regression (SVR), Partial Least Square (PLS), and random forest (RF). We use the data collected from buildings at several locations for a period of 29 weeks. …”
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Discussing the Effects of Climate Change and Urbanization through Flood Disaster in Riverside Settlements by Zeynep Özdemir, Merve Özkaynak Yolcu

“…Factors such as increased rainfall due to climate change, destruction of agricultural lands and forest areas, infrastructure deficiencies, unpreparedness of settlements for natural disasters, wrong positioning and unplanned construction are effective in the occurrence of flood disasters. …”
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Use of Plant Resources by Merosargus (Diptera, Stratiomyidae, Sarginae) Larvae by Julio C. R. Fontenelle, Flávia E. C. Viana-Silva, Rogério P. Martins

“…This study identified substrate types used as a resource by Merosargus larvae and investigated the degree of specialization and overlap in resource use by different species at an Atlantic forest remnant in Minas Gerais, Brazil. Every potential resource, especially those with adults in the vicinity, was collected opportunistically from October 2001 to October 2004. …”
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Profesoři Hermenegild a Karel Škorpilové působící v Bulharsku by Ludvík Skružný

“…Since his arrival in Bulgaria he has been working on a textbook on the geography of Bulgaria, researching Plovdiv waters, working on the geological map of southern Bulgaria, paying attention to speleology, natural mysteries (petrified forest near Varna, moving sands called Golden Sands) and others. …”
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Geographic Distribution of Chagas Disease Vectors in Brazil Based on Ecological Niche Modeling by Rodrigo Gurgel-Gonçalves, Cléber Galvão, Jane Costa, A. Townsend Peterson

“…Panstrongylus geniculatus and P. megistus showed broad ecological ranges, but most of the species sort out by the biome in which they are distributed: Rhodnius pictipes and R. robustus in the Amazon; R. neglectus, Triatoma sordida, and T. costalimai in the Cerrado; R. nasutus, P. lutzi, T. brasiliensis, T. pseudomaculata, T. melanocephala, and T. petrocchiae in the Caatinga; T. rubrovaria in the southern pampas; T. tibiamaculata and T. vitticeps in the Atlantic Forest. Although most occurrences were recorded in open areas (Cerrado and Caatinga), our results show that all environmental conditions in the country are favorable to one or more of the species analyzed, such that almost nowhere is Chagas transmission risk negligible.…”
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Energy Budget on Various Land Use Areas Using Reanalysis Data in Florida by Chi-Han Cheng, Fidelia Nnadi, Yuei-An Liou

“…Therefore, in this study, North American regional reanalysis (NARR) data set from 1992 to 2002 were employed to investigate the energy budget on various land uses (lake, wetland, agriculture, forest, and urban) at a regional scale in Florida. …”
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Decision Tree Algorithm-Based Model and Computer Simulation for Evaluating the Effectiveness of Physical Education in Universities by Zhifei Zhang, Zijian Zhao, Doo-Seoung Yeom

“…In this paper, the forest algorithm and the decision tree algorithm are mainly used to analyze students’ physical education information, course exam results, and student learning data and relevant feature attributes from the online teaching platform. …”
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Explainable Machine Learning-Based Prediction Model for Diabetic Nephropathy by Jing-Mei Yin, Yang Li, Jun-Tang Xue, Guo-Wei Zong, Zhong-Ze Fang, Lang Zou

“…We compare four machine learning algorithms, including extreme gradient boosting (XGB), random forest, decision tree, and logistic regression, by AUC-ROC curves, decision curves, and calibration curves. …”
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Improving the Accuracy of Early Detection of Parkinson's Disease Using Brain Signals Based on Feature Selection in Machine Learning by Shamimeh Sadat Nabavi Monfared, Mohammad Reza Yousefi

“…The selected features are classified using a support vector machine classifier, K nearest neighbor, and random forest. Accuracy higher than 97% shows the superiority of the method in predicting Parkinson's disease.…”
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Effect of Wood Chips and Wood Board-Ends of Gmelina arborea on Yields and Process of Slow Pyrolysis Using a Semi-Industrial Reactor Prototype by Jair Granados-Chacón, Roger Moya, Luis Pablo Valencia-González

“…Pyrolysis of biomass residues can generate savings in the value chains of forest products due to the potential uses of its products in the forestry sector. …”
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Analysis of Climate and Land Use Changes Impacts on Land Degradation in the North China Plain by Zhihui Li, Xiangzheng Deng, Fang Yin, Cuiyuan Yang

“…The results revealed that an increase in rainfall and temperature would significantly and positively contribute to the land improvement, and conversion from cultivated land to grassland and forest land showed positive relationship with land improvement, while conversion to built-up area will lead to land degradation. …”
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Detecting Attacks and Estimating States of Power Grids from Partial Observations with Machine Learning by Zheng-Meng Zhai, Mohammadamin Moradi, Ying-Cheng Lai

“…Further justification for using the LSTM is provided by our comparing its performance with that of alternative machine-learning architectures such as feedforward neural networks and random forest. Despite the gigantic existing literature on applications of LSTM to power grids, to our knowledge, the problem of locating an attack and estimating the state from limited observations had not been addressed before our work. …”
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Effects of Supply Chain Strategy on Stump Fuel Cost: A Simulation Approach by Anders Eriksson, Lars Eliasson, Per-Anders Hansson, Raida Jirjis

“…In Sweden, stump fuel extraction for energy purposes is not a well-established practice and this major resource is currently left in the forest. The stump fuel supply chain is both challenging and complex, due to distance between resource and end user, material bulkiness, and the number of subprocesses involved. …”
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Coastal moderation of Holocene fire and vegetation change on the Pacific coast of Canada by Maggie E. Duncan, Marlow G. Pellatt, Marlow G. Pellatt, Karen E. Kohfeld, Karen E. Kohfeld

“…Contrary to other sites, the coastal western hemlock forest at this site remained cool and moist with low fire activity throughout the xerothermic period. …”
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Interpretable Machine Learning Techniques for an Advanced Crop Recommendation Model by Mohamed Bouni, Badr Hssina, Khadija Douzi, Samira Douzi

“…Our research addresses this critical imperative by introducing an innovative predictive model that refines crop recommendation systems through advanced machine learning techniques, specifically random forest and SHapley Additive exPlanations (SHAP). This study aims to overcome the limitations of traditional advisory approaches by incorporating interpretability tools, clarifying the model’s decision-making process around specific instances. …”
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Quantitative Analysis of the Main Controlling Factors of Oil Saturation Variation by Ruijie Huang, Chenji Wei, Jian Yang, Xin Xu, Baozhu Li, Suwei Wu, Lihui Xiong

“…A total of 10 machine learning algorithms are tested and compared in the dataset. Random forest (RF) and gradient boosting (GBT) are optimal and selected to conduct quantitative analysis of the main controlling factors. …”
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