Forecasting Urban Rail Transit Vehicle Interior Noise and Its Applications in Railway Alignment Design by Yifeng Wang, Ping Wang, Zihan Li, Zhengxing Chen, Qing He

“…In this study, a data-driven interior noise prediction model is developed for vehicles on an urban rail transit system based on random forest (RF) and a vehicle/track coupling dynamic model (VTCDM). …”
Get full text

Utilizing machine learning and digital twin technology for rock parameter estimation from drilling data by Abdullah Khan, Yiming Li, Muhammad Shoaib, Umair Sajjad, Fuxin Rui

“…It emphasizes the growing application of ML algorithms such as artificial neural networks (ANNs), support vector regression (SVR), random forest (RF), and convolutional neural networks (CNNs) for rock property estimation, underscoring the diversity of techniques utilized. …”
Get full text

Optimize Gate-All-Around Devices Using Wide Neural Network-Enhanced Bayesian Optimization by Jiaye Shen, Zhiqiang Li, Zhenjie Yao

“…By improving the neural network to better fit the nonlinear mapping between the objective functions and input parameters, we effectively optimize device parameters while reducing the number of TCAD simulations. Experimental results show that compared to Bayesian optimization frameworks based on Gaussian Process (GP), Random Forest (RF) and Deep Networks for Global Optimization (DNGO), our neural network-based Bayesian optimization framework reduced the number of iterations by 19.3%, 42.7% and 60.3%, respectively.…”
Get full text

Principal Component Analysis Based Quaternion-Valued Medians for Non-Invasive Blood Glucose Estimation by Jingheng Feng, Bingo Wing-Kuen Ling

“…Hence, the hidden relationships among these four channels of the PPGs are exploited. Finally, the random forest is used to estimate the blood glucose levels (BGLs). …”
Get full text

Red Fox Optimization-Based Estimation Algorithms for Splitting Tensile Strength of Basalt Fiber Reinforced Concrete by Xiao Wu, Daoyong Zhu, Qin Yan

“…The current research examined two methods, namely least square support vector regression (LSSVR) (RFOLS) and random forest (RF) (RFORF), for assessing goals. This simulation is very dependent on its hyperparameters; to find the optimal set of hyperparameters, the red fox optimization (RFO) is linked to both LSSVR and RF. …”
Get full text

A Method Based on CNN–BiLSTM–Attention for Wind Farm Line Fault Distance Prediction by Ming Zhang, Qingzhong Gao, Baoliang Liu, Chen Zhang, Guangkai Zhou

“…The research results show that, compared with the random forest algorithm, decision tree algorithm, CNN, and LSTM neural network, the proposed method significantly improved the location accuracy and is more suitable for the fault distance measurement requirements of collector lines in the complex environments of wind farms. …”
Get full text

Machine Learning Techniques In Wdm-Fso Systems: Comparative Study by Ranim Younes, Mohammad Nassr

“…This paper presents experiments on the design and simulation of an FSO system with wavelength division multiplexing modulation (WDM) under rainy, foggy and snowy climatic conditions and calculates the distances at which the signal can correctly reach the receiver using the Optisystem simulator. …”
Get full text

Research on the Construction of Crossborder e-Commerce Logistics Service System Based on Machine Learning Algorithms by Jinbo Xu, Shibiao Mu

“…At the same time, it also compared the effect of the time series model, random forest model, GBDT, single Xgboost model, and the model used in this topic and analyzed the reasons for this difference and the application of each model.…”
Get full text

A Machine Learning-Based Parameterized Tropical Cyclone Precipitation Model by Yi Lu, Jie Yin, Peiyan Chen, Hui Yu, Sirong Huang

“…Abstract Current simulation models considerably underestimate local-scale, short-duration extreme precipitation induced by tropical cyclones (TCs). …”
Get full text

Impacts of Land Use and Climate Change on Flood Season Runoff in Tropical Islands by XIONG Wei, YE Chang-qing, XUE Shi-yu, ZHU Li-rong, LI Jun

“…The runoff generation capacity of cropland is larger than that of planted forest land and natural forest land in descending order. …”
Get full text

Biomimetic and biodegradable separator with high modulus and large ionic conductivity enables dendrite-free zinc-ion batteries by Hong Ma, Hongli Chen, Minfeng Chen, Anxin Li, Xiang Han, Dingtao Ma, Peixin Zhang, Jizhang Chen

Get full text

Strangler fig–host tree associations: Insights into the ecology and management of tropical urban green spaces by Yu‐Xuan Mo, Huang Zou, Hai‐Xia Hu, Su Li, Hua‐Zheng Lu, Xiao‐Yan Pu, Yun‐Xin Zhang, Sujan Balami, Yuan Li, Tao Hu, Liang Song, Wen‐Yao Liu

Get full text

Temporal and Spatial Evolution and Driving Force Analysis of Water Conservation Function in Yunnan Province Based on Climate and Land Use Change by LIU Fengru, ZHAO Junsan, LIN Yilin, CHEN Guoping, ZHANG Longjiang, PENG Sufen

“…[Methods] Taking Yunnan Province as an example, this paper combined the system dynamics model, patch-level land use change simulation model (PLUS model), and InVEST model to build a water conservation evaluation framework under the impact of future climate and land use change. …”
Get full text

Rapid retrieval of soil moisture using a novel portable L-band radiometer in the Hulunbeier Prairie, China by Shaoning Lv, Derek Houtz, Shiyuan Li, Yin Hu, Jing Zhang, Dongli Wu, Lei Jin, Jun Wen

Get full text

Evaluating the Economic Efficiency of Fuel Reduction Treatments in Sagebrush Ecosystems That Vary in Ecological Resilience and Invasion Resistance by Thomas A. Bridges-Lyman, Jessi L. Brown, Jeanne C. Chambers, Lisa M. Ellsworth, Matthew C. Reeves, Karen C. Short, Eva K. Strand, Michael H. Taylor

Get full text

Using AI for Optimizing Packing Design and Reducing Cost in E-Commerce by Hayder Zghair, Rushi Ganesh Konathala

“…In the second phase, a random forest (RF) machine learning model was developed to predict optimal packaging configurations using key product features: weight, volume, and fragility. …”
Get full text

Application research and effectiveness evaluation mechanism of hybrid intelligent algorithm integrating cognitive computing and deep learning for dynamically adjusting employee per... by Zhenlin Luo, Kebin Lu

“…In terms of fairness, the hybrid intelligent algorithm outperforms the random forest algorithm (Gini coefficient of 0.22), with a lower Gini coefficient of 0.18, effectively reducing assessment bias and ensuring a fairer performance evaluation. …”
Get full text

Brain activity patterns reflecting security perceptions of female cyclists in virtual reality experiments by Mohammad Arbabpour Bidgoli, Arian Behmanesh, Navid Khademi, Phromphat Thansirichaisree, Zuduo Zheng, Sara Saberi Moghadam Tehrani, Sajjad Mazloum, Sirisilp Kongsilp

“…A total of 52 female participants took part in four scenarios within a VR bicycle simulator, which simulates various environmental settings. …”
Get full text

Modeling the spatial dynamics of land cover transitions and vegetation conditions in Abuja city, Nigeria by Yoksa Salmamza Mshelia, Simon Mang’erere Onywere, Sammy Letema

“…Design/methodology/approach – A random forest classifier embedded in the Google Earth Engine platform was used to classify Landsat imagery for the years 1990, 2001, 2014 and 2020. …”
Get full text

Anomaly detection with grid sentinel framework for electric vehicle charging stations in a smart grid environment by V. Thiruppathy Kesavan, Md. Jakir Hossen, R. Gopi, Emerson Raja Joseph

“…This technology can also detect and respond to suspicious movements dynamically using powerful machine learning algorithms (long short-term memory (LSTM), random forest, and autoencoder models), ensuring safety. …”
Get full text