Climatic impacts on spring disappearance in the Indian Himalayas by Netrananda Sahu, Suraj Kumar Mallick, Pritiranjan Das, Atul Saini, Takahiro Sayama, Ayush Varun, Anil Kumar, Ravi Kesharwani, Pawan Kumar Thakur

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Spatial and temporal evolution of carbon stocks in Yulin City under changing environments by Guikai Sun, Yadong Li, Rui Huang, Chongxun Mo

“…The main findings of this study are as follows: (1) The land use transfer in Yulin City, Guangxi, from 2000 to 2020, is mainly among forest land, arable land, and construction land. The net transfer out of cultivated land is 476.9982 km2, and the net transfer in forest land and construction land is 245.5803 km2 and 231.0048 km2, respectively. (2) The study area’s carbon stock distribution closely follows the regional elevation pattern. …”
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Hybrid VLC-RF Channel Estimation for GFDM Wireless Sensor Networks Using Tree-Based Regressor by Azam Isam Aladwani, Tarik Adnan Almohamad, Abdullah Talha Sözer, İsmail Rakıp Karaş

“…Random forest achieved 91.01% accuracy and a BER of 0.0899 at 10 dB, as well as 97.88% accuracy with a BER of 0.0212 at 30 dB. …”
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A comparative study of four deep learning algorithms for predicting tree stem radius measured by dendrometer: A case study by Guilherme Cassales, Serajis Salekin, Nick Lim, Dean Meason, Albert Bifet, Bernhard Pfahringer, Eibe Frank

“…As a dominant terrestrial ecosystem, forests play a pivotal role, which is substantially challenged by climate extremes. …”
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Revolutionizing Chinese medicine granule placebo with a machine learning four-color model by Tingting Teng, Jingze Zhang, Peiqi Miao, Lipeng Liang, Xinbo Song, Dailin Liu, Junhua Zhang

“…Among these models, the average R2 of the random forest model reached 0.9249, outperforming other models. …”
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A synergistic approach using digital twins and statistical machine learning for intelligent residential energy modelling by Ahmad Almadhor, Shtwai Alsubai, Natalia Kryvinska, Nejib Ghazouani, Belgacem Bouallegue, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…Unlike conventional DT models used mainly for visualization or simulation, the proposed approach leverages DTs as adaptive, data-driven decision-making tools that evolve through continuous IoT sensor feedback. …”
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Characteristics and Rapid Prediction of Seismic Subsidence of Saturated Seabed Foundation with Interbedded Soft Clay–Sand by Liuyuan Zhao, Miaojun Sun, Jianhong Ye, Fuqin Yang, Kunpeng He

“…A machine learning model is implemented based on the Random Forest algorithm, in which 3200 sets of numerical simulation results are used for model training, and 800 sets are used for validating the model’s reliability. …”
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Effective Machine Learning Techniques for Dealing with Poor Credit Data by Dumisani Selby Nkambule, Bhekisipho Twala, Jan Harm Christiaan Pretorius

“…Then, the harnessing of generative adversarial networks (GANs) simulation to enhance the robustness of the single machine learning classifiers for predicting credit risk is proposed. …”
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A New Method to Estimate the Cover Management Factor on the Loess Plateau in China by XIE Xinli, LI Qinglan, WANG Linhua, ZHANG Hui, WU Faqi

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Genomics reveal population structure, genetic diversity and evolutionary history of Phyllostachys edulis (moso bamboo) in global natural distribution by Fangdi Li, Hongfeng Fang, Jie Zhou, Shunkai Hu, Fuliang Cao, Qirong Guo

“…IntroductionMoso bamboo (Phyllostachys edulis) is widespread in natural forests over large areas in ChinaMethodsHere we collected 193 individuals of moso bamboo from 37 natural populations in China’s distribution area. …”
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Electrochemically synthesized H2O2 at industrial-level current densities enabled by in situ fabricated few-layer boron nanosheets by Yuhan Wu, Yuying Zhao, Qixin Yuan, Hao Sun, Ao Wang, Kang Sun, Geoffrey I. N. Waterhouse, Ziyun Wang, Jingjie Wu, Jianchun Jiang, Mengmeng Fan

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Energy-Aware Distributed Clustering Algorithm for Improving Network Performance in WSNs by Joon-Ik Kong, Jin-Woo Kim, Doo-Seop Eom

“…However, most protocols in previous literature have the problem of not considering the characteristics of real applications, for example, forest fire detection, intruder detection, target tracking, and the like. …”
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Unconstrained Metropolis–Hastings Sampling of Covariance Matrices by Daniel Turek

“…Pseudocode is provided for implementing our algorithm, and we also present a simulation study analyzing asymptotic performance under varying matrix dimensions and correlation structures. …”
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The reform of the teaching mode of aesthetic education for university students based on digital media technology by Yan Jiayue

“…To enable students to achieve an immersive teaching experience, the study uses Kinect somatosensory technology to enable students to interact with the simulated scenes. The students were first tracked by a combination of random forest algorithm and mean shift algorithm, and then the dynamic time warping algorithm was used for dynamic gesture recognition to ensure that students could move forward and backward through the gestures while using the simulation to navigate through the building. …”
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Void Detection of Airport Concrete Pavement Slabs Based on Vibration Response Under Moving Load by Xiang Wang, Ziliang Ma, Xing Hu, Xinyuan Cao, Qiao Dong

“…Based on the simulated dataset, a random forest (RF) model was developed to estimate void size using selected spectral energy indicators and geometric parameters. …”
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WiPy-RT: A Fast Ray Tracing Modeling Platform for RIS-Assisted Wireless Channels by Mohammadreza Farashahi, Boon-Chong Seet, Xue Jun Li

“…Ray tracing (RT) based simulators have gained significant traction in recent years, proving their worth in accurately and efficiently simulating EM propagation environments. …”
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Kinetic-pharmacodynamic model to predict post-rituximab B-cell repletion as a predictor of relapse in pediatric idiopathic nephrotic syndrome by Ziwei Li, Qian Shen, Hong Xu, Zhiping Li

“…This study aimed to identify factors that influence disease relapse and B-cell repletion to provide tailored treatment.MethodsLASSO and random survival forest were performed on 143 children to screen covariates which were then included in Cox regression model to determine the biomarkers of relapse and establish a nomogram. …”
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Population Structure Characteristics and Survival Status of Natural Platycladus Orientalis in Loess Hilly Region by Sun Ting, Li Gangtie, Ma Yunxia, Song Jiajia, Guo Jingjie, Gu Zhonghou, Liu Kun, Li Zhilong, Li Min

“…[Objective] Population structure characteristics and survival status of natural Platycladus orientalis in the loess hilly region were determined in order to provide a scientific basis for high-quality and sustainable development of forest grassland in this area. [Methods] Characteristics were quantitatively analyzed by using a dynamic change index based on a static life table combined with spectral analysis on the time scale and time series simulation prediction to carry out a comprehensive survival analysis of this cypress species. …”
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NDVI time-series data reconstruction for spatial-temporal dynamic monitoring of Arctic vegetation structure by Zihong Liu, Da He, Qian Shi, Xiao Cheng

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Nature-inspired MPPT algorithms for solar PV and fault classification using deep learning techniques by S. Senthilkumar, V. Mohan, S. P. Mangaiyarkarasi, R. Gandhi Raj, K. Kalaivani, N. Kopperundevi, M. Chinnadurai, M. Nuthal Srinivasan, L. Ramachandran

“…To further classify the faults in solar PV systems, random forest (RF), artificial neural network (ANN), support vector machine (SVM), and convolutional neural network (CNN) models are employed. …”
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