A real-time 3D modeling method for buildings driven by IMU and RGB-D fusion by Yuhan Gao, Chao Dang, Jun Zhu, Yakun Xie, Ya Hu, Chunli Yan, Kun Yi, Chuan Yi, Xue Li

“…The method incorporates an adaptive sampling strategy for RGB-D cameras based on IMU data calibration, introduces a pose estimation optimization algorithm that combines dynamic feature point cluster centroid prediction with bias detection, establishes a progressive 3D modeling approach constrained by structural features, and develops a prototype system for in-depth case study analysis. …”
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A path-planning algorithm for autonomous vehicles based on traffic stability criteria: the AS-IAPF algorithm by M. Zhao, M. Zhao, X. Li, Y. Lu, H. Wang, S. Ning

“…Secondly, based on the aforementioned threshold discriminant formula, a new AS-IAPF algorithm is proposed. The algorithm mainly includes two aspects: firstly, by pre-generating initial paths and introducing a Gaussian oscillation coefficient of force fields, it avoids the algorithm falling into local optima; secondly, by using the aforementioned driving stability threshold discriminant formula as a dimensional adjustment for adaptively improving and adjusting the strength coefficient of the AS-APF repulsive field, the algorithm further improves the efficiency of path planning. …”
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Jump around: Selecting Markov Chain Monte Carlo parameters and diagnostics for improved food web model quality and ecosystem representation by Gemma Gerber, Ursula M. Scharler

“…Capturing ecological data variability in food web models is an important step for improving model representation of empirical systems. …”
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Automatic Brain Tumor Segmentation from MRI using Greedy Snake Model and Fuzzy C-Means Optimization by C. Jaspin Jeba Sheela, G. Suganthi

“…A mask is formed by thresholding the reconstructed image and is eroded to improve the accuracy of segmentation in Greedy Snake algorithm. …”
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Modelagem hidrológica em microbacia hidrográfica parte I: aprimoramento do modelo HidroBacia Hydrologic modeling in a small watershed part I: improvement of the HidroBacia model by Sidney S. Zanetti, José M. A. da Silva, Elias F. Sousa, Vicente de P. S. de Oliveira, Frederico T. de Almeida

“…This work consisted of improvement of the HidroBacia model by means of identification and correction of mistakes in its software source code. …”
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Multiparameter Causal Models for the Estimation and Explainability of Wildfire Burned Area by Amir Mustofa Irawan, Merce Vall-Llossera, Carlos Lopez-Martinez, Adriano Camps, Gerard Portal, Alberto Alonso-Gonzalez, Miriam Pablos

“…However, uncovering these complex interactions remains a challenge in wildfire modeling. This study employs a data-driven causal discovery approach using the Peter–Clark algorithm with momentary conditional independence (PCMCI) to analyze the time-series data and construct causal graphs. …”
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Impact and integration of electric vehicles on renewable energy based microgrid: Frequency profile improvement by a-SCA optimized FO-Fuzzy PSS approach by Prakash Chandra Sahu

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Improved landslide susceptibility assessment: A new negative sample collection strategy and a comparative analysis of zoning methods by Jiani Wang, Yunqi Wang, Manyi Li, Zihan Qi, Cheng Li, Haimei Qi, Xiaoming Zhang

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Autonomous Robotic Path Planning Based on the Gaussian Mixture Model in Complex Manufacturing Environment by Rui Sun, Yuanmin Wang, Wenzheng Zhao, Yinhua Liu

“…To solve this problem, this paper proposes a path segment directed evolution algorithm (PSDEA) based on the Gaussian mixture model and a heuristic optimization algorithm. …”
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Robust Tracking Control of Piezoelectric Actuators Using Super-Twisting Sliding Mode With Bouc-Wen Hysteresis Model-Based Enhanced Jaya Algorithm by Nguyen Thi Thu Hang, Nguyen Ngoc Son

“…The Bouc-Wen model, which captures the nonlinear hysteretic behavior of the PZT actuator, is estimated using a modified Jaya algorithm enhanced with Lévy flight distribution (called LeJaya). …”
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An enhanced chlorophyll estimation model with a canopy structural trait in maize crops: Use of multi-spectral UAV images and machine learning algorithm by Gaurav Singhal, Burhan U. Choudhury, Naseeb Singh, Jonali Goswami

“…Considering LAI data as input in the spectral prediction model is still inadequate for improving LCC estimation. …”
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Study on optimization of Al6061 sphere surface roughness in diamond turning based on central composite design model and grey wolf optimizer algorithms by Le Thanh Binh, Duong Xuan Bien, Ngo Viet Hung, Chu Anh My, Hoang Nghia Duc, Nguyen Kim Hung, Bui Kim Hoa

“…With the experimental data, the roughness regression model is established. The ANOVA module is used to evaluate the quality of the regression model. …”
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Modeling of Emergency Supply Scheduling Problem Based on Reliability and Its Solution Algorithm under Variable Road Network after Sudden-Onset Disasters by Tinggui Chen, Shiwen Wu, Jianjun Yang, Guodong Cong, Gongfa Li

“…Finally, through a case study, the effectiveness and efficiency of the proposed model and algorithm are verified.…”
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An Underwater Acoustic Communication Signal Modulation-Style Recognition Algorithm Based on Dual-Feature Fusion and ResNet–Transformer Dual-Model Fusion by Fanyu Zhou, Haoran Wu, Zhibin Yue, Han Li

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Research on the financial early warning models based on ensemble learning algorithms: Introducing MD&A and stock forum comments textual indicators. by Zhiheng Zhang, Zhenji Zhu, Yongjun Hua

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Influence of Modal Decomposition Algorithms on Nonlinear Time Series Machine Learning Prediction Models in Engineering: A Case Study of Subway Tunnel Settlement by Qingmeng Shen, Yuming Wu, Limin Wan, Qian Chen, Yue Li, Zichao Liao, Wenbo Wang, Feng Li, Tao Li, Jiajun Shu

“…The results show that the prediction model with the integrated decomposition algorithm reduces the RMSE and MAE by 33% and 37%, respectively, which significantly improves the prediction accuracy and generalization ability of the neural network to meet the demand of practical engineering prediction and simultaneously enhances the risk warning ability of the model.…”
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A Data-Driven Strategy for Long-Term Agrarian Sustainability using the Application of Machine Learning Algorithms to Predictive Models for Pest and Disease Management by Almusawi Muntather, Ameer S. Abdul, Lalitha Yaragudipati Sri

“…In order to address these problems, this study presents the Pest and Disease Management Machine Learning Algorithm (PDM MLA), a data driven pest and disease control approach. …”
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Dynamic and static integrated classification model of gas well based on XGBoost algorithm—an example from block S of Sulige tight sandstone gas field by Shuangshuang Zhang, Shuangshuang Zhang, Xiangdong Yu, Xiuli Gao, Donglin Li, Shijun Huang

“…Aiming at this problem, this paper establishes a set of dynamic and static integrated classification model of tight sandstone gas wells in Sulige based on XGBoost algorithm. …”
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Synergistic coupling of ultrasonic cavitation with tailored deep eutectic solvent systems for intensified extraction of Scutellaria Radix flavonoids: Modelling and optimization by... by Qi Cui, Jia-Yi Shi, Le-Le Wen, Wei-Hua Kong, Li-Jie Jiang, Ju-Zhao Liu

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A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis by Basma Jumaa Saleh, Zaid Omar, Muhammad Amir As’ari, Vikrant Bhateja, Lila Iznita Izhar

“…As a result, the hybrid approach outperforms 10 recent studies on two publicly available datasets (COVID-CT-Dataset and HUST-19), achieving an average accuracy score of 100% across different epochs, along with perfect accuracy, 100% sensitivity, and 100% specificity. The proposed models significantly outperform the baseline model, with accuracy improvements of 13.6% on Data1 and 2.5% on Data2. …”
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