The correlation between on-farm biosecurity and animal welfare indices in large-scale turkey production by László Kovács, Christopher René Klaucke, Máté Farkas, Mikolt Bakony, Viktor Jurkovich, László Könyves

“…The association between biosecurity and welfare indicators was investigated by correlation testing and prediction accuracy using random forest classification. The areas of biosecurity that were shown to be closely linked to the welfare index were the organization of the farm (farm management, supply of materials), the control and hygienic measures implemented between farm structures, cleaning and disinfection measures on the farm, and control and hygienic measures implemented in the case of farm workers and visitors upon entrance and exit. …”
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Gaussian Process Regression and Machine Learning Methods for Carbon-Based Material Adsorption by Manar Ahmed Hamza, Maha M. Althobaiti, Fahd N. Al-Wesabi, Rana Alabdan, Hany Mahgoub, Anwer Mustafa Hilal, Abdelwahed Motwakel, Mesfer Al Duhayyim

“…In the existing system, random forest and ANN methods were used for TC and SMX for predicting the quantities of antibiotics in the CBMs. …”
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Forecasting of virtual power plant generating and energy arbitrage economics in the electricity market using machine learning approach by Tirunagaru V. Sarathkumar, Arup Kumar Goswami, Baseem Khan, Kamel A. Shoush, Sherif S. M. Ghoneim, Ramy N. R. Ghaly

“…Notably, the introduced AOLSTM approach demonstrates minimal error metrics compared to conventional methods such as persistence, Gradient Boost, and Random Forest.…”
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Rapid Driving Style Recognition in Car-Following Using Machine Learning and Vehicle Trajectory Data by Qingwen Xue, Ke Wang, Jian John Lu, Yujie Liu

“…The performance of Random Forest (RF), K-Nearest Neighbor (KNN), and Multi-Layer Perceptron (MLP) is also compared with SVM. …”
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Detecting Obfuscated Malware Infections on Windows Using Ensemble Learning Techniques by Yadigar Imamverdiyev, Elshan Baghirov, John Chukwu Ikechukwu

“…Utilizing the CIC-MalMem-2022 dataset, the effectiveness of decision trees, gradient-boosted trees, logistic Regression, random forest, and LightGBM in identifying obfuscated malware was evaluated. …”
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Early Warning System for Debt Group Migration: The Case of One Commercial Bank in Vietnam by Nguyen Quoc Hung, Trinh Hoang Viet, Phuong Truong Viet, Ly Truong Thi Minh

“…This study utilizes machine learning models, including Logistic Regression, Support Vector Machine, Decision Tree, and Random Forest, in the early warning system for debt group migration in a Vietnamese commercial bank. …”
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A New Cooperative MIMO Scheme Based on SM for Energy-Efficiency Improvement in Wireless Sensor Network by Yuyang Peng, Jaeho Choi

“…Combining the proposed scheme with monitoring sensor node will provide a good performance in arbitrary deployed WSN such as forest fire detection system.…”
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Vibration Reliability Analysis of Aeroengine Rotor Based on Intelligent Neural Network Modeling Framework by Jia-Qi Liu, Yun-Wen Feng, Cheng Lu, Wei-Huang Pan, Da Teng

“…The comparison of INNMF, random forest (RF), and ANN shows that INNMF improves analysis accuracy and calculation efficiency. …”
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Structure, floristic and diversity from Laguna de San Diego (Samaná, Colombia) by Julio Andrés Sierra-Giraldo, Susana Velásquez-Franco, Mitchell James Power, Jairo Andrés Orozco-Agudelo, Luz Amparo Triana-Moreno

“…Here, we analyzed the diversity, structure, and composition in four different cover types (Dense forest: Bd, Mosaic of pastures with natural spaces: Mpen, Pastures: P, and Secondary vegetation: Vs). …”
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What Would Make Getting Colorectal Cancer Screening Easier? Perspectives from Screeners and Nonscreeners by Gilda G. Medina, Amy McQueen, Anthony J. Greisinger, L. Kay Bartholomew, Sally W. Vernon

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Strategies to reduce reliance on soya bean meal and palm kernel meal in livestock nutrition by J.M. Wilkinson, R.H. Young

“…Greenhouse gas emissions and loss of wildlife habitats have stimulated growing global concern over the continued expansion of soya bean and palm oilseed production on land recently converted from forest and natural grasslands. This paper reviews the roles of soya bean meal and palm kernel meal in livestock nutrition, drawing on research data to explore the potential for their replacement in nutritionally balanced diets. …”
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The Relationship of Triphasic Waves with Intracranial Pressure as a Possible Prognostic Marker in Traumatic Brain Injury by Nakul Katyal, Aarti Sarwal, Pravin George, Biswajit Banik, Christopher R. Newey

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Makroszczątki roślinne w torfie w analizie paleośrodowiskowych uwarunkowań osadnictwa na przykładzie stanowiska Łane Małe w dolinie Kłodnicy by Krzysztof J. Wójcicki, Marek Kloss

“…In the Mesolithic and Neolithic Periods as well as the Early Bronze Age, swampy alder forests occupied the entire area of the peatland. …”
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Study on Finger Gesture Interface Using One-Channel EMG by Hee-Yeong Yang, Young-Shin Han, Choon-Sung Nam

“…Four machine learning models were used: eXtreme Gradient Boost, Random Forest, k-Nearest Neighbors, and Logistic Regression. …”
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Organophosphorus Pesticides Management Strategies: Prohibition and Restriction Multi-Category Multi-Class Models, Environmental Transformation Risks, and Special Attention List by Yingwei Wang, Lu Wang, Yufei Li

“…Among these, the random forest (RF) model demonstrated excellent predictive performance, as it was successfully validated and applied. …”
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Improving the accuracy of soil texture determination using pH and electro conductivity values with ultrasound penetration-based digital soil texture analyzer by Emre Kilinc, Umut Orhan

“…Using the Ultrasound Penetration-based Digital Soil Texture Analyzer (USTA), this research combined ultrasound time series data with pH and EC measurements to predict sand, silt, and clay ratios through machine learning methods—support vector regression (SVR), Random Forest (RF), and multi-layer perceptron neural network (MLPNN). …”
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Evaluating the merit of carbon credits: Is there a lack of effectiveness in transitioning from direct payments for ecosystem services to REDD+ community-based incentives? by Virginia Hernanz, Sonia Quiroga, Cristina Suárez, José Evelio Aguiño

“…Rich in biodiversity, Tumaco is a key area for REDD+ (Reducing Emissions from Deforestation and forest Degradation) projects focused on reducing deforestation and promoting sustainable land use. …”
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Abundance, Diversity, and Distribution of Primates at Welel Mountain, Kellem Wollega Zone, Oromia Region, Ethiopia by Diriba Fufa, Dereje Yazezew, Gezahegn Degefe, Sibhatu Gebrehiwot

“…The mean percentages of primates in forest, woodland, and shrubs were 43.16%, 32.26%, and 24.58%, respectively. …”
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Physicochemical Characteristics and Storage Stability of Hybrid Beef Patty Using Shiitake Mushroom (Lentinus edodes) by Gyutae Park, Sehyuk Oh, Sanghun Park, Yun-a Kim, Yunhwan Park, Youngjin Kim, Juho Lee, Hwayong Lee, Jungseok Choi

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An Independent Prognostic Model Based on Ten Autophagy-Related Long Noncoding RNAs in Pancreatic Cancer Patients by Jiahui Tian, Chunyan Fu, Xuan Zeng, Xiaoxiao Fan, Yi Wu

“…Receiver operating characteristic (ROC) curves and forest plots were generated for univariate and multivariate Cox regression analyses, to examine the predictive feasibility of the risk model. …”
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