Fuzzy Enhanced Kidney Tumor Detection: Integrating Machine Learning Operations for a Fusion of Twin Transferable Network and Weighted Ensemble Machine Learning Classifier by Ananya Ghosh, Jyotismita Chaki

“…The informative features are fed into a combined classifier where Support Vector Machines and Random Forests are combined using a weighted average to achieve the final and potentially more robust classification of kidney tumors. …”
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The Primate Habituation Programme, Dzanga Sangha Protected Areas, Central African Republic: An overview by Terence Fuh Neba, Anna Feistner, Angelique Todd

“…DSPA is CAR’s largest remaining nearly intact forest block and known for its outstanding biodiversity, including most of CAR's gorillas (G. g. gorilla). …”
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PhyIndBC: Development of a machine learning tool for screening of potential breast cancer inhibitors from phytochemicalsGitHub by Agneesh Pratim Das, Subhash M. Agarwal

“…., k-nearest neighbor (KNN), random forest (RF), support vector machine (SVM), and extreme gradient boosting (XGB) were combined with various molecular fingerprints (MACCS and Morgan2) to develop multiple predictive models. …”
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The impact of caesarean scar niche on fertility - a systematic review by M. M van den Tweel, S. van der Struijs, S. Le Cessie, K. E Boers

“…The results were graphically displayed in a forest plot.Results Six retrospective cohort studies could be included on fertility outcomes, with a total of 1083 persons with a niche and 3987 without a niche. …”
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Development of the adaptive spring bread wheat cultivar ‘Omskaya Yubileynaya’ under the conditions of the Siberian region by N. A. Popolzukhina, P. V. Popolzukhin, A. A. Gaidar, Yu. Yu. Parshutkin, N. A. Yakunina

“…‘Omskaya Yubileynaya’, the data were obtained that justified its prospective cultivation within the steppe and forest-steppe zones of Siberia and Kazakhstan. The cultivar has been registered in the national lists of breeding achievements since 2019.…”
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Étude tracéologique des bois de construction du port romain de Saint-Lupien à Rezé/Ratiatum (Loire-Atlantique) by Frédéric Épaud

“…Their anatomical profiles suggest that they were trees from undergrowth or degraded open woodland. The forests that were exploited were not be able to supply the building site with straight-grained, knot-free wood with a diameter perfectly suited to the needs of the carpenters, despite the possibility of transport by the Loire river. …”
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Random Cross-Validation Produces Biased Assessment of Machine Learning Performance in Regional Landslide Susceptibility Prediction by Chandan Kumar, Gabriel Walton, Paul Santi, Carlos Luza

“…This experiment was conducted on regional landslide susceptibility prediction using different ML models: logistic regression (LR), k-nearest neighbor (KNN), linear discriminant analysis (LDA), artificial neural networks (ANN), support vector machine (SVM), random forest (RF), and C5.0. The experimental results showed that R-CV often produces optimistic performance estimates, e.g., 6–18% higher than those obtained using the S-CV. …”
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Considerations and recommendations for collaborative research networks in epidemiology: Lessons learned from the diabetes LEAD Network by Tara P. McAlexander, Nora L. Lee, Gina S. Lovasi, Annemarie G. Hirsch, Melissa N. Poulsen, Brian Elbel, Lorna E. Thorpe, D. Leann Long, Leslie A. McClure

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Structural performance of additive manufactured wood-sodium silicate composite beams for sustainable construction by Hojat Hematabadi, Adefemi A Alade, Robert HR Carne, Daniel Robertson, Milinda Yapa, Armando G. McDonald, Ahmed A. Ibrahim

On Using a Mobile Application to Support Teledermatology: A Case Study in an Underprivileged Area in Colombia by Juan Pablo Sáenz, Mónica Paola Novoa, Darío Correal, Bell Raj Eapen

“…This approach was found to be pertinent in the Colombian rural context, particularly in forest regions, where dermatology specialists are not available. …”
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Avian species and functional diversity in the Yellow River Wetland Nature Reserve of Henan Province by Wanying Li, Kaiyue Wang, Peisen Yan, Tianen Chen, Haipeng Zhao, Xunling Lu

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Land use and landscape pattern changes in the Fenhe River Basin, China by Ying Zhao, Bingqing Zhao, Fei Wang

“…Spatially, there was a significant increasing trend in NDVI, particularly in high-altitude mountainous areas where the vegetation cover mostly consisted of forests or grasslands. However, there was no significant change in vegetation cover in the low-lying urban agglomeration area. (2) During the period from 2010 to 2020, there was a significant decrease in the area of water bodies and wetlands, the rate of decrease slowed from 2015 to 2020. …”
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Vascular Tissue Analysis as a Decisive Tool for Tropical Hardwood Identification: The Case Study of Ekop Species in Cameroon by Pierre Paul Mbarga, Armand William Mala, Marie Marguerite Mbolo

“…Forty-three wood specimens of Ekop were collected from forests in Ebolowa, Mbalmayo, and Abong Mbang. In addition, 155 microscopic sections of Ekop slides with at least 3 representatives of identified species were observed. …”
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Click beetle larvae from Cretaceous Burmese amber represent an ancient Gondwanan lineage by Robin Kundrata, Simone Policena Rosa, Katerina Triskova, Gabriela Packova, Johana Hoffmannova, Jan Brus

“…Hence, the newly discovered Burmese amber larvae may further contribute to a recently highly debated hypothesis that biota of the resin-producing forest on the Burma Terrane, which was probably an island drifting northward at the time of amber deposition, had at least partly Gondwanan affinities. …”
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Development of immune-derived molecular markers for preeclampsia based on multiple machine learning algorithms by Zhichao Wang, Long Cheng, Guanghui Li, Huiyan Cheng

“…Several machine learning algorithms, including least absolute shrinkage and selection operator (LASSO), bagged trees, and random forest (RF), were used to select immune-related signaling genes closely associated with the occurrence of PE. …”
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Design of an iterative method for enhanced early prediction of acute coronary syndrome using XAI analysis by Shital Hajare, Rajendra Rewatkar, K.T.V. Reddy

“…The study harnesses diverse algorithms—Support Vector Machines, Logistic Regression, Gradient Boosting Machines, and Deep Forest—tailored for nuanced ACS detection, balancing simplicity with computational depth to optimize performance metrics. …”
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Exposure, sensitivity, or adaptive capacity? Reviewing assessments that use only two of three elements of climate change vulnerability by Amanda A. Hyman, Erin R. Crone, Abigail Benson, Jason Dunham, Abigail J. Lynch, Laura Thompson, Meryl C. Mims

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Using Inverse Distance Weighting to Determine Spatial Distributions of Airborne Chemical Elements. Case Study: Douala, Cameroon by Joseph Magloire Fossokeng Mouafo, Claudiu Tănăselia, André Nana Yakam, Jules Richard Priso, Mohammed Ketata, Alexandru-Ionut Petrisor

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Early Detection of Seasonal Outbreaks from Twitter Data Using Machine Learning Approaches by Samina Amin, Muhammad Irfan Uddin, Duaa H. alSaeed, Atif Khan, Muhammad Adnan

“…This work proposes a machine-learning-based approach to detect dengue and flu outbreaks in social media platform Twitter, using four machine learning algorithms: Random Forest (RF), K-Nearest Neighbor (KNN), Support Vector Machine (SVM), and Decision Tree (DT), with the help of Term Frequency and Inverse Document Frequency (TF-IDF). …”
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Development of Vegetative Propagation Strategies for Balanites aegyptiaca in the Sahel, Niger by Moussa Massaoudou, Rabiou Habou, Zounon Christian Serge Félix, Abasse Tougiani, Patrick Van Damme

“…Forests have always been a source of wood, food, and medicine for the rural populations of the Sahel. …”
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