Implementasi Metode Naive Bayes untuk Mendeteksi Stres Siswa Berdasarkan Tweet pada Sistem Monitoring Stres by Diva Fardiana Risa, Fajar Pradana, Fitra Abdurrachman Bachtiar

“…Oleh karena itu,pada penelitian ini akan dibangun fitur untuk mendeteksi tingkat stres melalui tweet pada akun twitter dengan menggunakan metode Naïve Bayes yang mana akan dapat mengklasifikasikan tingkat stres siswa berdasarkan tweet siswa kedalam tiga kelas yaitu kelas stres ringan, stres sedang dan stres berat. …”
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Key to Common Bay Trees of Florida by Lynn Proenza, Michael Andreu

“…This 7-page fact sheet includes a dichotomous key to help in the identification of common bay trees found in Florida. …”
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Ten Common Flowering Trees of the Tampa Bay Area by Gitta Hasing, Andrew K. Koeser, Gary W. Knox, Melissa H. Friedman

“…ENH1244/EP505: Ten Common Flowering Trees of the Tampa Bay Area (ufl.edu) …”
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Ten Common Conifers of the Tampa Bay Area by Andrew K. Koeser, Holly Finley, Gitta Hasing, Gary W. Knox, Melissa H. Friedman

“…This 6-page guide will assist you in identifying the 10 most common conifers that grow in the Tampa Bay area of Florida. It is an efficient resource for master gardeners, novice tree inventory crews, 4-H forestry teams, and others interested in basic conifer identification. …”
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10 Common Palms of the Tampa Bay Area by Gitta Hasing, Andrew K. Koeser, Melissa H. Friedman, Timothy K. Broschat

“…Despite this, their identity is often unknown to Florida’s new, seasonal, and even long-term residents. This 10-page fact sheet serves as a quick reference for some of the most common palms found in North and Central Florida and the Tampa Bay Area in particular. …”
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Persea palustris, Swamp Bay by Michael G. Andreu, Melissa H. Friedman, Mary McKenzie, Heather V. Quintana

“…FOR 260, a 2-page fact sheet by Michael G. Andreu, Melissa H. Friedman, Mary McKenzie, and Heather V. …”
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How to Use a Dichotomous Key: A Tutorial Featuring 10 Common Shade Trees of the Tampa Bay Area by Andrew K. Koeser, Gitta Hasing, Michael G. Andreu, Melissa H. Friedman

“… A dichotomous key is a tool used to help identify an unknown organism. This 12-page fact sheet features a key of leaf characteristics for ten common broadleaf trees in the Tampa Bay Area. …”
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Economic Value of Ecosystem Restoration in Biscayne Bay, Florida by Donna J. Lee, Anafrida Bwenge

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New Florida Foliage Plant Cultivar: 'Diamond Bay' Aglaonema by Richard J. Henny, Jianjun Chen, Terri A. Mellich, Mary S. Brennan

“…ENH-1073, a 4-page illustrated fact sheet by R.J. Henny, J. Chen, T.A. Mellich, and M.S. …”
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New Florida Foliage Plant Cultivar: Aglaonema 'Moonlight Bay' by Richard J. Henny, Jianjun Chen, Terri A. Mellich

“…ENH1167, a 4-page illustrated fact sheet by R.J. Henny, J. Chen, and T.A. Mellich, describes Aglaonema Moonlight Bay, a new ornamental foliage plant that is a result of a mutation discovered in the Aglaonema Silver Bay plant – description, availability, and origin. …”
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New Florida Foliage Plant Cultivar: 'Emerald Bay' Aglaonema by Richard J. Henny, Jianjun Chen, Terri A. Mellich

“…ENH-1091, a 3-page illustrated fact sheet by R.J. Henny, J. Chen, and T.A. Mellich, describes a new cultivar of this important foliage plant which shares many traits of the popular 'Golden Bay', but without the yellow background coloration in the leaves and petioles — its origin, description, performance, and availability. …”
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Analisis Performa Algoritma Decision Tree, Naive Bayes, K-Nearest Neighbor untuk Klasifikasi Zona Daerah Risiko Covid-19 di Indonesia by Ainurohmah Ainurrohmah, Dian Tri Wiyanti

“…Algoritma klasifikasi yang memiliki akurasi yang baik dengan waktu relatif cepat yaitu Decision Tree, Naïve Bayes dan K-Nearest Neighbor. Tujuan penelitian ini menghitung performa setiap algoritma, mendapatkan algoritma terbaik dan mendapatkan pola klasifikasi dari algoritma terbaik. …”
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Red Bay Psyllid, Trioza magnoliae (Ashmead) (Insecta: Hemiptera: Sternorrhyncha: Psyllidae) by Donald W. Hall

“…It describes this psyllid which causes galls on the leaves of native species of Persea bay trees — its distribution, description, life cycle and biology, and economic importance. …”
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Drinking Water Source Protection in the Tampa Bay Region: A Guide for Homeowners by Amy L. Shober

“…SL-280, a 3-page illustrated fact sheet by Amy L. Shober, familiarizes homeowners in the Tampa Bay region with the local sources of drinking water, potential pollution sources, and actions that can protect the quality of the local drinking water supply. …”
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Drinking Water Source Protection in the Tampa Bay Region: A Guide for Government Officials by Amy L. Shober

“…SS524, a 4-page fact sheet by Amy L. Shober, familiarizes government officials in the Tampa Bay region with some of the regulatory and non-regulatory tools that can help to protect local sources of drinking water. …”
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Machine Learning with Tunicate Swarm Optimization for Improved Disc Herniation Prediction by Theofilos Gofas, Argyros Maris

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Evaluation of the protective efficacy of OlysetPlus ceiling nets for reduction of malaria incidence in children in Homa Bay County, Kenya: a cluster-randomised controlled study pro... by Daisuke Yoneoka, Jesse Gitaka, James Kongere, Wataru Kagaya, Akira Kaneko, Yura K Ko, Chim W Chan, Mariko Kanamori, Bernard N Kanoi, Gordon Odhiambo Okomo, Protus Omondi, Kelvin B Musyoka, Takatsugu Okai, Victor Opiyo, Jared Oginga, Samuel Mungai, Kibor K Keitany, Elijah Songok, Noboru Minakawa

“…The establishment of more effective vector control, in addition to the current long-lasting insecticide-treated net distribution programme, is an urgent task in these areas. …”
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A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients by Alla Ahmad Hassan, Tarik A Rashid

Subjects: “…Particle Swarm Optimization, Neural Networks, Logistic Regression, Nave Bayes Classifier, Multilayer Perceptron, Support Vector Machine, BF Tree, Bayesian Networks.…”
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Treating drug-resistant tuberculosis in an era of shorter regimens: Insights from rural South Africa by J-D K Lotz, J Porter, H Conradie, T Boyles, B Gaunt, S Dimanda, D Cort

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Enhancing Semi-Supervised Learning With Concept Drift Detection and Self-Training: A Study on Classifier Diversity and Performance by Jose L. M. Perez, Roberto S. M. Barros, Silas G. T. C. Santos

“…The experiments conducted to test the proposed approach used Hoeffding Tree (HT) and Naive Bayes (NB) as base classifiers, which were also employed as members of the ensembles used in this research. …”
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