Anomaly detection using machine learning and adopted digital twin concepts in radio environments by Mohamed Hussien Moharam, Omar Hany, Ahmed Hany, Amenah Mahmoud, Mariam Mohamed, Sohila Saeed

“…XGBoost achieved the highest accuracy (0.99) and perfect detection (1.00) of normal traffic and signal drift, outperforming Random Forest (0.98), Support Vector Machine (0.97), Logistic Regression (0.93), and K Nearest Neighbors (0.81). …”
Get full text

Reconstitution spatiale et simulation des changements futurs de l'occupation du sol dans la Réserve de Biosphère de la basse vallée de l'Ouémé (RB-BVO) au Bénin by Abdel Aziz Osseni, Gbodja Houéhanou François Gbesso, Gildas N'tibouti Idakou, Adandé Belarmain Fandohan, Ismaïla Toko, Agossou Brice Hugues Tente, Brice Augustin Sinsin

“…Future land use changes up to 2035 were simulated using the Land Change Modeler.The results obtained indicate that in 1990, 70.9% of the site was covered by spontaneous vegetation formations (shrub and tree savannahs, dense and gallery forests, swamp formations). …”
Get full text

DUnE: A Versatile Dynamic Unstructured Environment for Off-Road Navigation by Jack M. Vice, Gita Sukthankar

“…The testbed automates key performance metric logging and provides semi-automated trajectory generation for dynamic obstacles including simulated human actors. It supports multiple robot platforms and five distinct unstructured environments, ranging from forests to rocky terrains. …”
Get full text

Impact of Land Use Change on Carbon Storage Dynamics in the Lijiang River Basin, China: A Complex Network Model Approach by Xinran Zhou, Jinye Wang, Liang Tang, Wen He, Hui Li

“…These suggest that restricting impervious land expansion and promoting forest and grassland restoration can enhance carbon sink capacity. …”
Get full text

ANN and RF Optimized by Hunter–Prey Algorithm for Predicting Post-Blast RC Column Morphology by Kai Rong, Yongsheng Jia, Yingkang Yao, Jinshan Sun, Qi Yu, Hongliang Tang, Jun Yang, Xianqi Xie

“…Two databases are created: one containing 45 original simulation cases, and an augmented version with 225 cases generated through data augmentation. …”
Get full text

Investigation on Thermal Conductivity of Soil Under Freeze–Thaw Action Based on Machine Learning Models by Yuwei Chen, Yadi Min, Haiqiang Jiang, Jing Luo, Mengxin Liu, Enliang Wang, Xingchao Liu, Ke Shi, Xiaoqi Li

“…Then, the Monte Carlo simulation was used to analyze the stability of the models. …”
Get full text

Detection of Wormhole Attack in Vehicular Ad-hoc Network over Real Map using Machine Learning Approach with Preventive Scheme by Shahjahan Ali, Parma Nand, Shailesh Tiwari

“…The simulation is performed by using NS-3.24.1 simulator, and the statistics created by flow monitor are collected. …”
Get full text

Effects of different vegetation litter cover on hydrodynamic characteristics of soil runoff-sediment yield in Taiyi Mountain area of northern China by Yuan He, Zihao Fan, Wei Zhao, Zhihao Tian, Dingmeng Hu, Zixu Zhang, Yucun Lu, Peng Gao

Get full text

A Simplified Theory of External Occulters for Solar Coronagraphs by Craig. E. DeForest, Nicholas F. Erickson, Matthew N. Beasley, Steven N. Osterman, Travis J. Smith, Mary H. Hanson

Get full text

Monitoring Snowmelt in Mountainous Areas by Considering SAR Geometric Distortion From Ascending and Descending Orbits by Yanli Zhang, Yalong Ma, Kairui Lei, Gang Chen

Get full text

Optimizing the Portuguese wildfire fuel reduction program by Alan Ager, Bruno A. Aparício, José M.C. Pereira

Get full text

Integrating machine learning-based classification and regression models for solvent regeneration prediction in post-combustion carbon capture: An absorption-based case by Farzin Hosseinifard, Mostafa Setak, Majid Amidpour

Get full text

A “Foundation-Function-Structure” Framework for Multiple Scenario Assessment of Land Change-Induced Dynamics in Regional Ecosystem Quality by Yue Pan, Jing Gao, Jianxin Yang

“…The results indicate that rapid urban expansion has significantly contributed to the decline of cropland and forest areas, while impervious surfaces have increased, leading to notable ecological degradation. …”
Get full text

Data-driven insights into the electronic and thermoelectric properties of 1T-Li2O: A combined DFT and ML investigation by S. Chellaiya Thomas Rueshwin, R.D. Eithiraj

“…The predicted band gap values were 2.45 eV using random forest regression and 2.41 eV using linear regression. …”
Get full text

Spatiotemporal dynamics and influencing factors of land carbon stock in Chengdu Plain using an integrated model by Jie Tang, Wenfu Peng

“…Between 2000 and 2020, cropland decreased by 4.14% while construction land increased by 4.15%, reflecting rapid urban expansion. Scenario simulations predict further cropland loss (2.80%–7.44%) and substantial construction land growth (26.89%–39.95%) by 2060, with forest and grassland recovery only under conservation scenarios. …”
Get full text

Fault diagnosis of ship diesel power distribution system based on WOA-RF algorithm by Weibo LI, Feng GAO, Peng XIAO, Kangzheng HUANG, Daojie RUAN, Junzhuo GAO

“…Therefore, a fault diagnosis method based on whale optimization algorithm-optimized random forest (WOA-RF) is proposed for the marine DG power distribution system.MethodsThe marine DG power distribution system model is built using Matlab/Simulink simulation software. …”
Get full text

Molecular Recognition and Modification Strategies of Umami Dipeptides with T1R1/T1R3 Receptors by Kaixuan Hu, Guangzhou Sun, Wentong Yu, Mengyu Zhang, Shuang Wang, Yujie Cao, Dongling Hu, Li Liang, Gang He, Jianping Hu, Wei Liu

Get full text

Exploring the active ingredients and potential mechanisms of Pingchan granules in Parkinson’s disease treatment through network pharmacology and transcriptomics by Qiu-Han Xu, Yi-Ling Wang, Cheng Wang, Si-Si Jiang, Bao-Rong Zhang, Jun Tian

Get full text

Spatiotemporal evolution and driving factors analysis of carbon stock in traditional industrial transformation region: a case study in Harbin and Changchun urban agglomeration, Chi... by Rui Zhi, Lin Lin, Lin Lin, Xu Yang, Xu Yang, Jingxiao Zhang, Jinggan Shao, Xiangdong Xu

Get full text

Urban Expansion Scenario Prediction Model: Combining Multi-Source Big Data, a Graph Attention Network, a Vector Cellular Automata, and an Agent-Based Model by Yunqi Gao, Dongya Liu, Xinqi Zheng, Xiaoli Wang, Gang Ai

“…The results show that (1) the UESP model achieved an overall accuracy of 0.925, a Kappa coefficient of 0.878, and a FoM index of 0.048, outperforming traditional models, with the FoM being 3.5% higher; (2) through multi-scenario simulation prediction, it is found that under the scenario of ecological conservation and farmland protection, forest and grassland increase by 3142 km², and cultivated land increases by 896 km², with construction land showing a concentrated growth trend; and (3) the expansion of construction land will mainly occur at the expense of farmland, concentrated around Beijing, Tianjin, Tangshan, Shijiazhuang, and southern core cities in Hebei, forming a “core-driven, axis-extended, and cluster-expanded” spatial pattern.…”
Get full text