AI-based carbon peak prediction and energy transition optimization for thermal power industry in energy-intensive regions of China by Chenhao Huang, Zhongyang Lin, Jian Wu, Penghan Li, Chaofeng Zhang, Yanzhao Liu, Weirong Chen, Xin Xu, Jinsong Deng

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Cardiac Arrest: An Adult eCPR Simulation Case by Dominique Gelmann, James Giordano, John Gaillard, Casey Bryant

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Burn to Save, or Save to Burn? Management May Be Key to Conservation of an Iconic Old-Growth Stand in California, USA by JonahMaria Weeks, Bryant Nagelson, Sarah Bisbing, Hugh Safford

“…The stand supports huge trees and the highest tree diversity in the Lake Tahoe Basin and protects important raptor habitat. In this study, we simulate forest response to vegetation management and wildfire to assess the impacts of four fuel-reduction scenarios on fire behavior and stand resilience at Emerald Point. …”
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Non-intrusive Industrial Load Identification Based on Random Forest Algorithm and Steady-State Waveform by Jian WANG, Shuhui YI, Junjie LIU, Jian LIU

“…The actual operating load data of a factory is used as the sample data for simulation, and the effectiveness and rapidity of the proposed identification algorithm are verified with simulation. …”
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Data driven multi-objective optimization of sustainable aviation emergency network for forest fire rescue by Jun Huang, Qiuhong Zhao

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Take five: about the beat and the bar of annual and 5-year periodic national forest inventories by Jean-Daniel Bontemps, Olivier Bouriaud

“…Bases for a common framework and persisting research needs are highlighted. Developing virtual forest sampling simulation facilities at large scale is a critical challenge. …”
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Speed Prediction of Urban Rail Transit Trains Based on Random Forest & Neural Network by QIN Jiannan, HU Wenbin, XU Li

“…The error is reduced by 57.7% compared with the traditional neural network model, and the error is reduced by 73.9% compared with the random forest regression model.…”
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Mixing carrots and sticks to conserve forests in the Brazilian Amazon: a spatial probabilistic modeling approach. by Jan Börner, Eduardo Marinho, Sven Wunder

“…The model builds on elements of optimal enforcement theory and introduces the notion of imperfect payment contract enforcement in the context of avoided deforestation. We implement the simulations using official deforestation statistics and data collected from field-based forest law enforcement operations in the Amazon region. …”
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Research and performance analysis of random forest-based feature selection algorithm in sports effectiveness evaluation by Yujiao Li, Yingjie Mu

“…This study is based on the evaluation method of motion effects using random forests, and uses feature extraction algorithms to study the motion effect impacts. …”
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Risk Assessment of Heavy Rain Disasters Using an Interpretable Random Forest Algorithm Enhanced by MAML by Yanru Fan, Yi Wang, Wenfang Xie, Bin He

“…We improved the application of model-agnostic meta-learning (MAML) in hyperparameter optimization for the random forest (RF) algorithm, thereby developing the MAML-RF heavy rain disaster risk assessment model. …”
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How to implement the data collection of leaf area index by means of citizen science and forest gamification? by Shaohui Zhang, Lauri Korhonen, Timo Nummenmaa, Simone Bianchi, Matti Maltamo

“…Leaf area index (LAI) is a critical parameter that influences many biophysical processes within forest ecosystems. Collecting in situ LAI measurements by forest canopy hemispherical photography is however costly and laborious. …”
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Temporal pattern in basal area prediction error of a growth model for Quebec’s temperate forest by Hugues Power, Isabelle Auger

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Greening‐Induced Biophysical Impacts Lead to Earlier Spring and Autumn Phenology in Temperate and Boreal Forests by Jing Guo, Jinmei Wang, Yuxin Qiao, Xu Huang, Nicholas G. Smith, Zhiyong Liu, Rui Zhang, Xiuzhi Chen, Chaoyang Wu, Josep Peñuelas, Lei Chen

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A Flexible Snow Model (FSM 2.1.1) including a forest canopy by R. Essery, G. Mazzotti, G. Mazzotti, S. Barr, S. Barr, T. Jonas, T. Quaife, N. Rutter

“…Without accounting for uncertainty in forest structure metrics and parameter values, the ranges of multi-physics ensemble simulations are not as wide as seen in intercomparisons of existing models. …”
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Domain adaptation of deep neural networks for tree part segmentation using synthetic forest trees by Mitch Bryson, Ahalya Ravendran, Celine Mercier, Tancred Frickey, Sadeepa Jayathunga, Grant Pearse, Robin J.L. Hartley

“…We develop a new pipeline for generating high-fidelity simulated LiDAR scans of synthetic forest trees and combine this with an unsupervised domain adaptation strategy to adapt models trained on synthetic data to LiDAR data captured in real forest environments.Models were trained for semantic segmentation of tree parts using a PointNet++ architecture and evaluated across a range of medium to high-resolution laser scanning datasets collected across both ground-based and aerial platforms in multiple forest environments. …”
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Hybrid GRU–Random Forest Model for Accurate Atmospheric Duct Detection with Incomplete Sounding Data by Yi Yan, Linjing Guo, Jiangting Li, Zhouxiang Yu, Shuji Sun, Tong Xu, Haisheng Zhao, Lixin Guo

“…We propose a hybrid model that combines GRU and Random Forest (RF) in series, which predicts the presence of atmospheric ducts from limited data. …”
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Random Generalized Additive Logistic Forest: A Novel Ensemble Method for Robust Binary Classification by Oyebayo Ridwan Olaniran, Ali Rashash R. Alzahrani, Nada MohammedSaeed Alharbi, Asma Ahmad Alzahrani

“…Furthermore, empirical results demonstrate RGALF’s effectiveness across both simulated and real-world datasets. In simulations, RGALF demonstrates superior performance over random forests (RFs), reducing variance by up to 69% and bias by 19% in nonlinear settings, with significant MSE improvements (0.032 vs. …”
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Superior energy output of solar trees compared to flat fixed panels in coastal forest installations by Dan-Bi Um

“…Through 3D geospatial simulations and standard test conditions, we show that linear arrangements of solar tree structures preserve 99% of forest cover, whereas conventional fixed panel installations require eliminating 98% of forest cover while achieving equivalent power generation capacity. …”
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Multiple UAV Swarms Collaborative Firefighting Strategy Considering Forest Fire Spread and Resource Constraints by Pei Zhu, Rui Song, Jiangao Zhang, Ziheng Xu, Yaqi Gou, Zhi Sun, Quan Shao

“…To address the demands of efficient forest fire detection and suppression, an adaptive multiple UAV swarm collaborative firefighting strategy considering dynamic forest fire spread and resource constraints was proposed in this paper. …”
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Performance-Based Damage Quantification and Hazard Intensity Measures for Vertical Forest Systems on RC Buildings by Vachan Vanian, Theodoros Rousakis, Theodora Fanaradelli, Maristella Voutetaki, Makrini Macha, Adamantis Zapris, Ifigeneia Theodoridou, Maria Stefanidou, Katerina Vatitsi, Giorgos Mallinis, Violetta Kytinou, Constantin Chalioris

“…Holistic renovation approaches, including Vertical Forest (VF) systems, are emerging as sustainable alternatives to demolition and reconstruction. …”
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