Combination of Conditioning Factors for Generation of Landslide Susceptibility Maps by Extreme Gradient Boosting in Cuenca, Ecuador by Esteban Bravo-López, Tomás Fernández, Chester Sellers, Jorge Delgado-García

“…In this study, a specific Machine Learning (ML) method was further analyzed due to the good results obtained in the previous stage of this research. The algorithm implemented is Extreme Gradient Boosting (XGBoost), which was used to evaluate the susceptibility to landslides recorded in the city of Cuenca (Ecuador) and its surroundings, generating the respective Landslide Susceptibility Maps (LSM). …”
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Towards Effective Parkinson’s Monitoring: Movement Disorder Detection and Symptom Identification Using Wearable Inertial Sensors by Umar Khan, Qaiser Riaz, Mehdi Hussain, Muhammad Zeeshan, Björn Krüger

“…The proposed pipeline employs and evaluates manual feature crafting for classical machine learning algorithms, as well as an RNN-CNN-inspired deep learning model that does not require manual feature crafting. …”
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An Autoencoder-Based Task-Oriented Semantic Communication System for M2M Communication by Prabhath Samarathunga, Hossein Rezaei, Maheshi Lokumarambage, Thushan Sivalingam, Nandana Rajatheva, Anil Fernando

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Utilizing Cell Transmission Models to Alleviate Accident-Induced Traffic Congestion in Two-Way Grid Networks by Yi-Sheng Huang, Yi-Shun Weng, Chun-Yu Shih

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Using Smartwatches in Stress Management, Mental Health, and Well-Being: A Systematic Review by Nikoletta-Anna Kapogianni, Angeliki Sideraki, Christos-Nikolaos Anagnostopoulos

“…Moreover, it highlights how different algorithms—such as Support Vector Machines (SVMs), Random Forests, Deep Neural Networks, and Boosting methods—perform across various physiological signals (e.g., HRV, EDA, skin temperature). …”
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The Specialist’s Paradox: Generalist AI May Better Organize Medical Knowledge by Carlo Galli, Maria Teresa Colangelo, Marco Meleti, Elena Calciolari

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Self-Supervised Keypoint Learning for the Geometric Analysis of Road-Marking Templates by Chayanon Sub-r-pa, Rung-Ching Chen

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Optimized Energy Consumption of Electric Vehicles with Driving Pattern Recognition for Real Driving Scenarios by Bedatri Moulik, Sanmukh Kaur, Muhammad Ijaz

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Tradeoffs When Building and Running Cohort and Patient-Level Markov Simulation Models by Balázs Nagy, Ahmad Nader Fasseeh, Jonathan D. Campbell, Zoltán Kaló, Kareem Ahmed El-Fass, Rok Hren, Bertalan Németh

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Clinical Validation of a Computed Tomography Image-Based Machine Learning Model for Segmentation and Quantification of Shoulder Muscles by Hamidreza Rajabzadeh-Oghaz, Josie Elwell, Bradley Schoch, William Aibinder, Bruno Gobbato, Daniel Wessell, Vikas Kumar, Christopher P. Roche

“…Prior to use in a clinical setting, this machine learning (ML)-based segmentation algorithm requires rigorous validation. The aim of this study is to conduct shoulder expert validation of a novel deltoid ML auto-segmentation and quantification tool. …”
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The Optimization of Stand Structure Can Significantly Alleviate the Flammability of Forest Ecosystems by Yan Zhang, Xiangwen Deng, Xiaoyong He, Xiaolong Zhang, Zhihong Huang, Liang Chen, Shuai Ouyang, Wenhua Xiang

“…ABSTRACT The accurate classification of forest fuels and the evaluation of the flammability of different forest types are crucial for effective forest fire control and classification management. …”
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Absolute direction in organelle movement by Solveig Plomer, Annika Meyer, Philipp Gebhardt, Theresa Ernst, Enrico Schleiff, Gaby Schneider

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Identification of plankton habitats in the North Sea by Rene‐Marcel Plonus, Jens Floeter

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The spatial extent and the dispersal strategy of species shape the occupancy frequency distribution of stream insect assemblages by I. Szivák, Z. Csabai, D. Schmera, A. Móra

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The path-label reconciliation (PLR) dissimilarity measure for gene trees by Alitzel López Sánchez, José Antonio Ramírez-Rafael, Alejandro Flores-Lamas, Maribel Hernández-Rosales, Manuel Lafond

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Bioregionalization analyses with the bioregion R package by Pierre Denelle, Boris Leroy, Maxime Lenormand

“…A typical bioregionalization workflow involves five different steps: formatting the input data, computing a (dis)similarity matrix, selecting a bioregionalization algorithm, evaluating the resulting bioregionalization and mapping and interpreting the bioregions. …”
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Prediction of Current and Future Distributions of Chalcophora detrita (Coleoptera: Buprestidae) Under Climate Change Scenarios by Arif Duyar, Muhammed Arif Demir, Mahmut Kabalak

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Machine learning applications in river research: Trends, opportunities and challenges by Long Ho, Peter Goethals

“…In contrast, river researchers have had few applications in multiclass and multilabel algorithm, associate rule and Naïve Bayes. The current article proposes an end‐to‐end workflow of ML applications in river research in order to tackle major ML challenges, including four steps: (1) data collection and preparation; (2) model evaluation and selection; (3) model application; and (4) feedback loops. …”
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Potential distribution of endemic lizards from Brazilian restingas: The present announcing the end by Hugo Andrade, Luisa Maria Diele‐Viegas Costa Silva, Carlos Frederico Duarte Rocha, Antônio Jorge Suzart Argôlo, Eduardo José dos Reis Dias

“…Besides direct anthropogenic impacts, climate change raises new cautions on Brazilian restingas‐endemic lizards conservation. We evaluated the current and future potential distribution of the endemic lizards from Brazilian restingas, considering different climate change scenarios. …”
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Improving Distribution Prediction by Integrating Expert Range Maps and Opportunistic Occurrences: Evidence From Japanese Sea Cucumber by Bingqing Xiao, Songxi Yuan, Ákos Bede‐Fazekas, Jinxin Zhou, Xingyu Song, Qiang Lin, Lei Cui, Zhixin Zhang

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