Short-Term Origin-Destination Based Metro Flow Prediction with Probabilistic Model Selection Approach by Xiaoqing Dai, Lijun Sun, Yanyan Xu

“…The approach adopts two forecasts as basic models and then uses a probabilistic model selection method, random forest classification, to combine the two outputs to achieve a better forecast. …”
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Enhanced SOC estimation method for lithium-ion batteries using Bayesian-optimized TCN–LSTM neural networks by Taotao Hu, Xiting Zhu, Maokai Tian

“…This study leverages the CALCE dataset and employs the random forest algorithm for dimensionality reduction, selecting voltage, discharge capacity, and discharge energy as key input features. …”
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Classification of RTV-coated porcelain insulator condition under different profiles and levels of pollution by Ali Ahmed Salem, Samir Ahmed Al-Gailani, Abdulrahman Ahmed Ghaleb Amer, Mohammad Alsharef, Mohit Bajaj, Ievgen Zaitsev, Razali Ngah, Sherif S. M. Ghoneim

“…Then, based on the proposed criteria, the performances of the Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Multi-layer Perceptron (MLP) have been trained and compared to classify polluted insulator conditions with and without coating. …”
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ViT-ISRGAN: A High-Quality Super-Resolution Reconstruction Method for Multispectral Remote Sensing Images by Yifeng Yang, Hengqian Zhao, Xiadan Huangfu, Zihan Li, Pan Wang

“…The ViT-ISRGAN model focuses on reconstructing four types of typical ground objects based on Sentinel-2 images: urban, water, farmland, and forest. Results indicate that the ViT-ISRGAN model excels in capturing texture details and color restoration, effectively extracting spectral and texture information from multispectral remote sensing images across various scenes. …”
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Central Asia Cold Case: Siberian Pine Fingers New Suspects in Growth Decline CA 1700 CE by David M. Meko, Dina F. Zhirnova, Liliana V. Belokopytova, Yulia A. Kholdaenko, Elena A. Babushkina, Nariman B. Mapitov, Eugene A. Vaganov

“…Conifer tree rings and forest productivity recorded this event across all of Altai–Sayan region.…”
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Interpretable machine learning modeling of temperature rise in a medium voltage switchgear using multiphysics CFD analysis by Mahmood Matin, Amir Dehghanian, Amir Hossein Zeinaddini, Hossein Darijani

“…Several models for temperature rise estimation, including extreme gradient boosting (XGBoost), support vector regression, decision tree, and random forest, were compared. An explainable artificial intelligence (XAI) technique, Shapley Additive Explanations (SHAP), was applied to the best-performing model to evaluate the importance of each feature in predicting maximum temperature. …”
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Biotechnological Approach for Development and Characterization of Protein Feed for <i>Melipona quadrifasciata</i> by Patrícia Miranda-Pinto, Jullio Kennedy Castro Soares, Irys Hany Lima Gonzalez, Yuri Ribeiro Diogo, Lívia Soman de Medeiros, Luciana Chagas Caperuto, Patrícia Locosque Ramos, Tiago Maurício Francoy, Michelle Manfrini Morais

“…To address this, we developed a fermented protein feed using microorganisms from pollen of <i>Melipona quadrifasciata,</i> a species commonly found in the Brazilian Atlantic Forest. The fermented feed consisted of a protein bran mixture, sugar syrup, and an inoculant derived from species’ fermented pollen. …”
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Application of Nighttime Light Data Simulation Based on Multi-Indicator System and Machine Learning Model in Predicting Potentially Suitable Economic Development Areas: A Case Stud... by Guangpeng Zhang, Li Zhang, Yiyang Chen, Meng Chen, Jingjing Tian, Yin Wu

“…Four tree-based ensemble learning models—Random Forest (RF), Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), and Categorical Boosting (CatBoost)—were employed to predict potential urban economic development suitability zones and their suitability intensity. …”
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Improving model performance in mapping black-soil resource with machine learning methods and multispectral features by Jianfang Hu, Yulei Tang, Jiapan Yan, Jiahong Zhang, Yuxin Zhao, Zhansheng Chen

“…Based on the revised random forest classification algorithm, model performance using different feature combination programs were evaluated to search for an efficient, high-precision method for mapping black-soil resource. …”
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Predicting conversion to psychosis using machine learning: response to Cannon by Jason Smucny, Tyrone D. Cannon, Tyrone D. Cannon, Carrie E. Bearden, Carrie E. Bearden, Jean Addington, Kristen S. Cadenhead, Barbara A. Cornblatt, Matcheri Keshavan, Daniel H. Mathalon, Diana O. Perkins, William Stone, Elaine F. Walker, Scott W. Woods, Scott W. Woods, Ian Davidson, Cameron S. Carter

“…All models performed above chance, with Naive Bayes and random forest methods showing the best overall performance. …”
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A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function by Tahsin Ali Mohammed Amin, Sabah Robitan Mahmood, Rebar Dara Mohammed, Pshtiwan Jabar Karim

“…Finally, we evaluate our proposed method against some of the most popular ML methods, including a k-nearest neighbor, support vector machine, random forest, decision tree, logistic regression, and extreme gradient boosting (Xgboost). …”
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Oilpalm-RTMDet: An lightweight oil palm detector base on RTMDet by Jirong Ding, Runlian Huang, Yehua Liang, Xin Weng, Jianjun Chen, Haotian You

“…It can not only provide accurate basic data for oil palm tree counting, yield and carbon storage estimation, but also provide technical guidance for other forest types, such as eucalyptus and pine, and single tree detection and segmentation.…”
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Using selective NIR wavelengths in portable devices to evaluate the chemical composition of cattle feeds by Lorenzo Serva, Luisa Magrin, Giovanni Chillemi, Giorgio Marchesini, Daniele Pietrucci, Francesco Renzi, Riccardo Valentini, Igino Andrighetto, Marco Milanesi

“…This was achieved by evaluating various cattle rations and silages (including rations for cows and bulls and grass and corn silage), where we selected the most significant wavelengths for fibre characterisation using the Random Forest (Boruta) algorithm. The number of identified features varied based on the spectral pre-treatments applied or the use of a batch effect reduction algorithm (ComBat function). …”
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Hotspot Spatial Patterns Using SNNP-VIIRS for Fire Potential Monitoring by Rosalina Kumalawati, Astinana Yuliarti, Syamani D. Ali, Karnanto Hendra Murliawan, Rijanta Rijanta, Ari Susanti, Erlis Saputra

“…The province of East Kalimantan is officially designated as the State Capital because the area has the least risk of disaster, even though it cannot be separated from disasters such as forest and land fires. This study aims to determine the spatial pattern of hotspots using SNPP-VIIRS for monitoring potential fires. …”
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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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New Insights on Quality, Safety, Nutritional, and Nutraceutical Properties of Honeydew Honeys from Italy by Andrea Mara, Federica Mainente, Vasiliki Soursou, Yolanda Picó, Iratxe Perales, Asma Ghorab, Gavino Sanna, Isabel Borrás-Linares, Gianni Zoccatelli, Marco Ciulu

“…The honeydew elements, conductivity, color, antioxidant properties, total polyphenol content, hydroxymethylfurfural, major and trace elements, toxic and rare earth elements, and pesticide residues were measured in 59 samples of honeydew honey from forest, eucalyptus, fir, oak, and citrus sources. …”
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Identification of key genes underlying radiosensitivity and radioresistance in endometrial cancer through integrated bioinformatics analysis by Chunhui Wan, Lei Zhang, Ting Yu, Hui Lu, Han Xiao, Juan Du

“…Applied Lasso regression and randomized survival forest model to identify key genes. Performed functional annotation, correlation analysis, and survival analysis on key genes.ResultsKey genes positively correlated with UCEC tumorigenesis-related genes in the radioresistant group. …”
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The Role of Mangrove Vegetation in Supporting Birdlife Diversity in Coastal Habitats, Study Case Benoa, Bali by Christy Shanie Avissa Nathanya, Saptarini Dian

“…This study analyzes the relationship between mangrove characteristics and the species composition of birds in coastal Benoa areas to explore the role of mangroves in Ngurah Rain Forest Park in supporting bird diversity. Point counts and line transects were utilized to obtain data to observe bird communities, and plot sampling was used to evaluate the characteristics of the mangrove vegetation, including species composition, tree height, and density. …”
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Complete Whole-Genome Sequence of Streptomyces sp. MUM 178J, a Potential Anti-Vibrio Agent by Ke-Yan Loo, Loh Teng-Hern Tan, Kah-Ooi Chua, Priyia Pusparajah, Kok-Gan Chan, Learn-Han Lee, Jodi Woan-Fei Law, Vengadesh Letchumanan

“…MUM 178J was isolated from a mangrove forest in Malaysia. This isolate was found to harbor anti-Vibrio properties as its crude extract inhibited the growth of multidrug-resistant Vibrio parahaemolyticus. …”
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Association between frailty and hospital-related adverse events in older hospitalised patients: a systematic literature review protocol by Jay Banerjee, Brad Manktelow, Abdullah Alshibani, Faris Alotaibi

“…If feasible, a meta-analysis will be conducted using the R statistical programme, and results will be visually presented using a forest plot. If there is high heterogeneity and a meta-analysis is not feasible, a narrative synthesis and analysis guided by Cochrane criteria will be conducted, and results will be presented in appropriate tables and figures.Ethics and dissemination No ethical approval will be obtained for this review since it will use secondary published data. …”
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