Les bonobos se rappellent-ils la voix de leurs anciens partenaires ? by Florence Levréro, Sumir Keenan, Nicolas Mathevon, Jeroen MG Stevens, Jean Pascal Guéry, Klaus Zuberbühler

“…For non-human primates who live in dense forest environments, visual access to one another is often limited, and recognition of social partners over distances largely depends on vocal communication. …”
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Advanced machine learning approach with dynamic kernel weighting for accurate electrical load forecasting by C. Jeevakarunya, V. Manikandan

“…In terms of performance, the study assesses the effectiveness of EDW-MKSVR models against those of boosted tree, random forest regression, K-nearest neighbor, support vector regression, and long short term memory. …”
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NATURAL RESOURCE ENDOWMENT AND ECONOMIC GROWTH: EVIDENCE FROM SOME SELECTED SUB-SAHARAN AFRICAN COUNTRIES by Felix Gbenga Olaifa, Ebenezar Adesoji Olubiyi, Oluwasegun Olawale Benjamin Benjamin, Philip Olugbenga Adebayo Adebayo

“…Data on economic growth, arable land, forest land rent, tertiary education enrolment, and labour force growth obtained from World Development Indictors of the World Bank were used. …”
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Machine Learning-Based Diabetes Risk Prediction Using Associated Behavioral Features by Ayodeji O. J. Ibitoye, Joseph D. Akinyemi, Olufade F. W. Onifade

“…These top-15 feature pairs were fed into five different ML models (decision tree (DT), neural networks (NN), random forest (RF), support vector machine (SVM) and extreme gradient boosting (XGB)) for predicting the likelihood of diabetes, while also feeding the direct features (without correlated pairing) separately into the same 5[Formula: see text]ML models. …”
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Effect of Roasting on the Proximate Composition, Antioxidant Activity, and Functional Properties of Afrostyrax lepidophyllus (Country Onion) Seeds by Wiyeh Claudette Bakisu Muala, Tonfack Djikeng Fabrice, Noumo Ngangmou Thierry, Ngangoum Eric Serge

“…Afrostyrax lepidophyllus seed is a nontimber forest product which has a strongly ferocious smell of garlic or onion. …”
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Effect of active faults in the groundwater level of Shaharchay basin in Urmia by Tayebeh Kiani, Zahra Yousefi

“…But the center of the basin zoning was very high with very low permeability, high slope, average precipitation and mixture of garden, forest and grassland usages. basin center located on high seismic intensity zone and density Quaternary faults. only because of the high level in the basin center of Silvaneh are active faults and a high intensity tectonic seismic.…”
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Trust in Intrusion Detection Systems: An Investigation of Performance Analysis for Machine Learning and Deep Learning Models by Basim Mahbooba, Radhya Sahal, Wael Alosaimi, Martin Serrano

“…The four machine learning techniques are decision tree (DT), K nearest neighbour (KNN), random forest (RF), and naïve Bayes (NB). The four deep learning techniques are LSTM (one and two layers) and GRU (one and two layers). …”
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Volatile Organic Compounds for the Prediction of Lung Cancer by Using Ensembled Machine Learning Model and Feature Selection by Divya Khanna, Arun Kumar, Shahid Ahmad Bhat

“…With 90% accuracy on a validation dataset, the random forest model predicts pleural fluid volatile organic compounds efficiently. …”
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A Technique to Predict Bankruptcy Using Ultimate Ownership Network as Key Indicators by Dyah Sulistyowati Rahayu, Zaäfri Ananto Husodo, Jan Pidanic, Xue Li, Heru Suhartanto

“…These results offer a novel perspective on incorporating network variables into bankruptcy prediction models, with an accuracy of 86% using random forest and XGBoost models. The findings indicate that bankruptcy prediction techniques can employ network variables, as alternative data to financial indicators.…”
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Monitoring Volcanic Eruptions with Geographical Information Systems and Remote Sensing Methods: The Case Study of Cumbre Vieja Volcano (Spain) by Özer Akyürek

“…As a result of the GIS and UA analyzes, it was determined that various agricultural areas and forest areas, as well as residential areas and the ocean, were also damaged. …”
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Exploring microbial players for metagenomic profiling of carbon cycling bacteria in sundarban mangrove soils by Basanta Kumar Das, Ayushman Gadnayak, Hirak Jyoti Chakraborty, Smruti Priyambada Pradhan, Subhashree Subhasmita Raut, Sanjoy Kumar Das

“…Abstract The Sundarbans, the world’s largest tidal mangrove forest, acts as a crucial ecosystem for production, conservation, and the cycling of carbon and nitrogen. …”
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Wae Bobok Tourism Potential: Mapping a Destination in West Manggarai, East Nusa Tenggara by L. K. Herindiyah Kartika Yuni, I Wayan Kartimin

“…Many tourism potentials in West Manggarai have been known, widely praised, and researched but Wae Bobok and its potential have not yet been published. Wae Bobok is a forest area located in the Tanjung Boleng Tourism Village area. …”
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Analyzing the influence of urban vegetation cover on land surface temperature in Southwestern Nigeria by Aladesanmi Daniel Agbelade

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Paddy Crop and Weed Discrimination: A Multiple Classifier System Approach by Radhika Kamath, Mamatha Balachandra, Srikanth Prabhu

“…This paper investigates the multiple classifier systems built using support vector machines and random forest classifiers for plant classification in classifying paddy crops and weeds from digital images. …”
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Harnessing virtues for educational success: introducing the Positive Development and Assessment Competencies Theory (PDAC) by Pedro Vazquez-Marin, Pedro Vazquez-Marin, Samantha Curle, Samantha Curle, Maria del Carmen Gil Ortega, Luis Medina-Gual, Andrés Sandoval-Hernández

“…Using a quantitative, correlational, cross-sectional design, data were collected from 993 students through validated questionnaires. Random forest logistic regression analysis identified six as significant predictors of perceived competencies, with Transcendence standing out as a particularly strong and consistent predictor across multiple competencies. …”
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Optimized Novel Text Embedding Approach for Fake News Detection on Twitter X: Integrating Social Context, Temporal Dynamics, and Enhanced Interpretability by Mahmoud AlJamal, Rabee Alquran, Ayoub Alsarhan, Mohammad Aljaidi, Wafa’ Q. Al-Jamal, Ali Fayez Alkoradees

“…Our methodology achieved a remarkable accuracy of 99.9% using a Random Forest classifier, showcasing the efficacy of this optimized hybrid approach. …”
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A deep learning‐based framework to identify and characterise heterogeneous secure network traffic by Faiz Ul Islam, Guangjie Liu, Weiwei Liu, Qazi Mazhar ul Haq

“…The state‐of‐the‐art machine learning strategies (C4.5, random forest, and K‐nearest neighbour) are investigated for comparison. …”
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Application of the Different Machine Learning Algorithms to Predict Dry Matter Intake in Feedlot Cattle by Hayati Köknaroğlu, Özgür Koşkan, Malik Ergin

“…The multivariate linear regression (LR), random forest (RF), gradient boosting regressor (GBR), and light gradient boosting machine (LGBR) algorithms were compared in terms of several performance metrics (MAE, MAPE, MSE, and RMSE). …”
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The Epiphytic Fern Elaphoglossum luridum (Fée) Christ. (Dryopteridaceae) from Central and South America: Morphological and Physiological Responses to Water Stress by Bruno Degaspari Minardi, Ana Paula Lorenzen Voytena, Marisa Santos, Áurea Maria Randi

“…(Dryopteridaceae) is an epiphytic fern of the Atlantic Forest (Brazil). Anatomical and physiological studies were conducted to understand how this plant responds to water stress. …”
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Floristic Diversity and Distribution Pattern of Plant Communities along Altitudinal Gradient in Sangla Valley, Northwest Himalaya by Pankaj Sharma, J. C. Rana, Usha Devi, S. S. Randhawa, Rajesh Kumar

“…The present study was conducted in Sangla Valley of northwest Himalaya aiming to assess the structure of vegetation and its trend in the valley along the altitudinal gradient. In the forest and alpine zones of the valley, 15 communities were recorded. …”
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