Federated Learning-Based Credit Card Fraud Detection: A Comparative Analysis of Advanced Machine Learning Models by Zheng Han

“…This paper introduced federated learning and discussed a few federated learning algorithms applied to the problem—these methods include Federated Graph Attention Network with Dilated Convolution Neural Network (FedGAT-DCNN), FedAvg with Convolutional Neural Network (CNN), and Federated Averaging with Distance-based Weighted Aggregation (FedAvg-DWA) with Random Forest (RF). Federated Averaging (FedAvg) aggregates data from local clients and then creates a global model; fedavg-dwa provides dynamic weight averaging, which enhances each client’s performance based on their data quality. …”
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Utilising causal inference methods to estimate effects and strategise interventions in observational health data. by Bao Duong, Manisha Senadeera, Toan Nguyen, Melanie Nichols, Kathryn Backholer, Steven Allender, Thin Nguyen

“…We demonstrate a causality approach that utilises causal trees and forests, enhanced by weighting mechanisms to adjust for confounding covariates. …”
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SDG 12 needs an oceanic interface: sand mining, saltwater intrusion (SWI) and coastal sustainability by Manan Sarupria, Naznin Nahar Sultana, Saleem H. Ali

“…For example, minerals from mines to markets; wood from forests to furniture; or food from farm to fridge, have been tracked in terms of their ecological profile in many of the SDG 12 targets. …”
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Combination of gray level features with deep transfer learning for copra classification using machine learning and neural networks by A. Stephen Sagayaraj, T. Kalavathi Devi

“…Other classifiers, such as Logistic Regression (98.3% accuracy, 0.96 Kappa), Kk-Nearest Neighbour (KNN) (98.3% accuracy, 0.96 Kappa), and Random Forest (98.9% accuracy, 0.97 Kappa), also performed well but slightly lower than the neural network. …”
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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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Migratory birds benefit from urban environments in a highly anthropized Neotropical region. by Rodrigo Pacheco-Muñoz, Adrián Ceja-Madrigal, Jorge E Schondube

“…Our results reveal that urban trees allowed cities to function as simplified forests, showing that the urban environment has the untapped potential to support complex assemblages of migratory birds. …”
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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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Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques. by Mahade Hasan, Farhana Yasmin, Md Mehedi Hassan, Xue Yu, Soniya Yeasmin, Herat Joshi, Sheikh Mohammed Shariful Islam

“…In response to this need, we applied nine machine learning algorithms XGBoost, logistic regression, decision tree, random forest, k-nearest neighbors (KNN), support vector machine (SVM), gaussian naïve bayes (NB gaussian), adaptive boosting, and linear regression to predict heart disease based on a range of physiological indicators. …”
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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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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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Computer Vision-Based Drowsiness Detection Using Handcrafted Feature Extraction for Edge Computing Devices by Valerius Owen, Nico Surantha

“…These are integrated with traditional machine learning models, such as Support Vector Machines, Random Forests, and XGBoost. These models were chosen for their ability to process detailed information from facial landmarks, head poses, PERCLOS, and POM. …”
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Geografia do trabalho no Brasil by Alexandre Gori Maia

“…The less developed rural municipalities prevail in the semi-arid areas of the country, in the Amazon rain forest and close to the triple border with the Mercosur countries.…”
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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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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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The Wood Pellet Sector: Barriers to Growth and Opinions of Manufacturers in Poland by Anna Klepacka, Wojciech Florkowski

“…Additionally, the expanding area of private Polish forests may become a source of much-needed raw material for wood pellet manufacturing.…”
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Identification des Villages à Risque (IVR) : pour un état des lieux de la Trypanosomiase Humaine Africaine au Niger by Jérémi Rouamba, Adamou Salissou, Hassane Sakandé, Vincent Jamonneau, Fabrice Courtin

“…The South of Niger is still home to a few well-preserved forest-galleries which are tsetse-friendly, exposing the riparian populations to their sting. …”
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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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Insights into greener Miocene biomes and globally enhanced terrestrial productivity from fossil leaves by Tammo Reichgelt, Christopher K. West

“…There is a dearth of Miocene data in the tropics and notably an absence of data points in equatorial localities that have high modern NPP (rainforests), which makes a direct comparison complicated. 89% of investigated sites underwent a precipitation decrease from the Miocene to modern, whereas 66% underwent a temperature decrease, and 60% underwent both a precipitation and a temperature decrease. 67% of sites had more productive biomes during the Miocene than today. Most notably, forested biomes were replaced by more open woodland/shrubland or grassland biomes. …”
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Patient Safety Culture Among Healthcare Settings in Low and Middle-Income Countries: A Systematic Review and Meta-Analysis by Natnael Atnafu Gebeyehu, Kirubel Tegegne, Biruk Admass, Nathan Shewangashaw, Yibeltal Atalay, Dagne Sewuyew, Awoke Gebremariam, Kelemu Abebe Gelaw

“…To evaluate publication bias, methods such as Egger's regression tests, rank tests, and forest plots were utilized. The I2 statistic was used to assess heterogeneity, followed by an overall estimated analysis. …”
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