Pengembangan Internet Of Things (IOT) Dalam Perekaman Data Iklim Mikro Dengan Platform Thingsboard by Heru Nurwarsito, Resnu Wahyu Adaby

“…LoRa devices were identified as having a range limit of about 350 meters into UB Forest, this is supported by the results of packet loss testing with results on LC nodes with a distance of 150 meters packet loss value of 4%, and BAU nodes with a distance of 200 meters to 300 m packet loss value of 8%. …”
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Preventing Escape of Non-Native Species from Aquaculture Facilities in Florida, Part 2: Facility Evaluation Strategies by Jeffrey E. Hill, Quenton M. Tuckett, Carlos V. Martinez, Jared L. Ritch, Katelyn M. Larson

“…Lawson, and published by the School of Forest Resources and Conservation Program in Fisheries and Aquatic Sciences, August 2016. …”
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Application of IoT and blockchain technology in the integration of innovation and industrial chains in high-tech manufacturing by Zepei Li, Peng Zheng, Yanjia Tian

“…This study introduces BD-IoTQNet, a novel framework designed to address these challenges by integrating data fusion, anomaly detection using the Isolation Forest algorithm, and blockchain-enabled DQM (Data Quality Management). …”
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Morphological evidence supports splitting of species in the North Atlantic Sebastes spp. complex. by Ingrid Marie Bruvold, Agneta Hansen, Arve Lynghammar, Hannes Höffle, Tanja Hanebrekke, Caroline Aas Tranang, Kjell Nedreaas, Einar Nilssen, Atal Saha, Torild Johansen

“…The morphology of genetically assigned fishes from Norwegian and Greenland waters was investigated using traditional morphometric methods, applying Linear Discriminant Analysis and Random Forest classification procedures to identify and evaluate the performance of descriptive characters. …”
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Computer Aided Diagnostic System for Blood Cells in Smear Images Using Texture Features and Supervised Machine Learning by Shakhawan Hares Wady

“…The framework combines the features extracted by Center Symmetric Local Binary Pattern (CSLBP), Gabor Wavelet Transform (GWT), and Local Gradient Increasing Pattern (LGIP), the data was then fed into machine learning classifiers including Decision Tree (DT), Ensemble, K-Nearest Neighbor (KNN), Naïve Bayes (NB), and Random Forest (RF)).  As the training set, the ALL-IDB2 database was utilized to create a balanced database with 260 blood smear images. …”
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Machine learning-driven optimization for predicting compressive strength in fly ash geopolymer concrete by Maryam Bypour, Mohammad Yekrangnia, Mahdi Kioumarsi

“…Six different ML models—AdaBoost, Decision Tree, Extra Tree, Random Forest, Gradient Boosting, and Extreme Gradient Boosting were used to predict fc′ of fly ash-based geopolymer concrete.The results reveal that the AdaBoost model outperformed the other models, achieving R2 score of 0.80 and RMSE of 6.60. …”
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Chronological Levels of As, Pd, V, and Sr in 356-year-old Pinus nigra Annual Rings in Northern Türkiye by İsmail Koç

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Preventing Escape of Non-Native Species from Aquaculture Facilities in Florida, Part 3: Structural 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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Quantum GIS (QGIS): An introduction to a free alternative to more costly GIS platforms by Jeffry M. Flenniken, Steven Stuglik, Basil V. Iannone

“…Iannone III and published by the UF/IFAS School of Forest Resources and Conservation introduces the reader to a free GIS software package called Quantum GIS (QGIS), walking the reader through simple GIS processes that can be used to visualize spatial patterns of importance to a variety of fields, including natural resources, agriculture, and urban planning. …”
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The Lignicolous Fungus Hericium erinaceus (Lion’s Mane Mushroom): A Promising Natural Source of Antiradical and DPPH Inhibitory Agents by Akbar Jahedi, Saeideh Ahmadifar, Rahman Mohammadi, Ebrahim Mohammadi Goltapeh

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The geographical variation in grassland forage quality on the eastern Qinghai-Tibet Plateau is driven mainly by climate by Shulan Wu, Xiaotao Lü, Qinghua Liu, Erke Wuda, Liu Li, Chunzhang Zhao, Juanjuan Huang, Shuang Li, Youbang Hu, Wenzhi Du, Hewen Li, Chaoqun Chen, Lin Luo, Ali Raza, Chunying Yin

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Implementasi Algoritma Catboost Dan Shapley Additive Explanations (SHAP) Dalam Memprediksi Popularitas Game Indie Pada Platform Steam by Mohammad Teddy Syamkalla, Siti Khomsah, Yohani Setya Rafika Nur

“…Penelitian sebelumnya telah mencoba menggunakan algoritma logistic regression dan random forest untuk meramalkan popularitas game indie di platform Steam, namun hasil model menggunakan berbagai macam metode masih rendah. …”
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Perbandingan Metode Supervised Machine Learning untuk Prediksi Prevalensi Stunting di Provinsi Jawa Timur by M Syauqi Haris, Ahsanun Naseh Khudori, Wahyu Teja Kusuma

“…Selain itu, beberapa metode dalam supervised machine learning juga dibandingkan yaitu, linier regression, support vector regression, dan random forest regression.Metode support vector regression dalam penelitian ini memiliki nilai galat yang lebih rendah yaitu 0,91 untuk MAE dan 1,30 untuk MSE. …”
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A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer patients with upfront surgery by Jin-Can Huang, Shao-Cheng Lyu, Bing Pan, Han-Xuan Wang, You-Wei Ma, Tao Jiang, Qiang He, Ren Lang

“…The AUC following 10-fold stratified cross-validation in the logistic regression (0.864) is better than SVM (0.693), random forest (0.789), decision tree (0.790), and XGBoost (0.726). …”
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Preventing Escape of Non-Native Species from Aquaculture Facilities in Florida, Part 1: General Considerations and Regulations by Quenton M. Tuckett, Carlos V. Martinez, Jared L. Ritch, Katelyn M. Lawson, Jeffrey 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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Carp Edema Virus Disease (CEVD) / Koi Sleepy Disease (KSD) by Shohreh Hesami, Pedro Viadanna, Natalie K. Steckler, Staci Spears, Patrick M. Thompson, Karen L. Kelley, Roy P. E. Yanong, Ruth Francis-Floyd, Johnny Shelley, Joseph M. Groff, Andy Goodwin, Olga L. M. Haenen, Thomas B. Waltzek

“…Written by Shohreh Hesami, Pedro Viadanna, Natalie Steckler, Staci Spears, Patrick Thompson, Karen Kelley, Roy Yanong, Ruth Francis-Floyd, Johnny Shelley, Joseph Groff, Andy Goodwin, Olga Haenen, and Thomas Waltzek, and published by the School of Forest Resources and Conservation Program in Fisheries and Aquatic Sciences, October 2015. …”
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DYSOXYLUM MOLLISSIMUM (SPRENG.) BLUME EX G. DON (MELIACEAE), A NEW RECORD FOR THE FLORA OF VIETNAM by Van Dung Luong, Ngoc Trieu Le, Tan Dat Nguyen, Van Ket Nguyen, Thanh Truong Hoang

“…This species is distributed in primary and secondary forests in scattered populations at elevations of 800–1200 m above sea level in the provinces of Gia Lai and Lam Dong in the Central Highlands of Vietnam. …”
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Progress in the Study of Dry Shrinkage Deformation and Drying Stress of Raw Bamboo by Jiayi Zhu, Lin Yang

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Phenological cycles in the Pantanal woody communities: Responses to climate and soil moisture seasonality. by Julia Arieira, Karl-L Schuchmann, Arnildo Pott, Michelle D Lanssanova, Ana Silvia O Tissiani, Osvaldo Borges Pinto Junior, Marinêz Isaac Marques

“…This study investigated the influences of regional climate and soil moisture conditions on the vegetative and reproductive cycles of seven savanna and forest vegetation communities of the Pantanal Mato-grossense. …”
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Evolving Spiking Neural Network Model for PM2.5 Hourly Concentration Prediction Based on Seasonal Differences: A Case Study on Data from Beijing and Shanghai by Hengyuan Liu, Guibin Lu, Yangjun Wang, Nikola Kasabov

“…Various evaluation indicators show that the Staging-eSNN model achieves higher performance than the support vector regression (SVR), random forest (RF) and other eSNN models.…”
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