Integrating Genetic Algorithm and Geographically Weighted Approaches into Machine Learning Improves Soil pH Prediction in China by Wantao Zhang, Jingyi Ji, Binbin Li, Xiao Deng, Mingxiang Xu

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Urban growth simulation using cellular automata model and machine learning algorithms (case study: Tabriz metropolis) by Omid Ashkriz, Babak Mirbagheri, Ali Akbar Matkan, Alireza Shakiba

“…Also, among the algorithms used in this research, the random forest algorithm based on ensemble learning has a higher advantage than the two-support vector machine and the artificial neural network algorithms.…”
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Optimizing the Design of TES Tanks for Thermal Energy Storage Applications Through an Integrated Biomimetic-Genetic Algorithm Approach by Nadiya Mehraj, Carles Mateu, Gabriel Zsembinszki, Luisa F. Cabeza

“…Building upon an experimentally validated bio-inspired thermal energy storage (TES) tank design, this study introduced a novel computational framework that integrated genetic algorithms (GA) with biomimetic principles to systematically generate TES tank geometries. …”
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Research on location privacy protection of mobile terminals for maritime monitoring sensor networks by Xin SU, Su JIANG, Yiqing ZHOU

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RUL Prediction of Rolling Bearings Based on Fruit Fly Optimization Algorithm Optimized CNN-LSTM Neural Network by Jiaping Shen, Haiting Zhou, Muda Jin, Zhongping Jin, Qiang Wang, Yanchun Mu, Zhiming Hong

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An Approach to Predicting Urban Carbon Stock Using a Self-Attention Convolutional Long Short-Term Memory Network Model: A Case Study in Wuhan Urban Circle by Zhi Zhou, Xueling Wu, Bo Peng

“…This paper introduces a long- and short-term memory network algorithm called the Self-Attention Convolutional Long and Short-Term Memory Network (SA-ConvLSTM). …”
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Landscape dynamics and its related factors in the Citarum River Basin: a comparison of three algorithms with multivariate analysis by Moh. Dede, Sunardi Sunardi, Kuok-Choy Lam, Susanti Withaningsih, Hendarmawan Hendarmawan, Teguh Husodo

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Research on Cooperative Velocity Planning Technology for Urban Rail Train Virtual Coupling by HUANG Qiang, LI Cheng, YUAN Xiwen, CHEN Lin, LUO Jiaxiang

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Structural optimization of different truss designs using two archive multi objective crystal structure optimization algorithm by Pranav Mehta, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

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An intelligent partial charging navigation strategy for electric vehicles by Jinsheng Xiao, Bang Sun, Xun Gao, Hua Yang, Liyuan Wang

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Research on Camouflage Recognition in Simulated Operational Environment Based on Hyperspectral Imaging Technology by Donge Zhao, Shuyan Liu, Xuefeng Yang, Yayun Ma, Bin Zhang, Wenbo Chu

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Effect of geographical parameters on PM10 pollution in European landscapes: a machine learning algorithm-based analysis by Seyedehmehrmanzar Sohrab, Nándor Csikós, Péter Szilassi

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GES: A New Building Damage Data Augmentation and Detection Method Based on Extremely Imbalanced Data and Unique Spatial Distribution of Satellite Images by Xiaopeng Sha, Zhoupeng Guo, Xinqi Sang, Shuyu Wang, Yuliang Zhao

“…The GES algorithm performs precise data enhancement work by positioning the spatial information of the data. …”
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Comparing supervised classification algorithm–feature combinations for Spartina alterniflora extraction: a case study in Zhanjiang, China by Qiujie Chen, Qiujie Chen, Chunyan Shen, Hong Du, Danling Tang

“…Here, we combined five supervised classification algorithms—random forest (RF), support vector machine, maximum likelihood classification (MLC), minimum distance classification, and Mahalanobis distance classification—with spectral bands, spectral indices, and the gray-level co-occurrence matrix (GLCM) derived from Sentinel-2 imagery to identify the optimal combination for monitoring the spatial distribution of S. alterniflora on Donghai Island, Zhanjiang. …”
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GU-Net3+: A Global-Local Feature Fusion Algorithm for Building Extraction in Remote Sensing Images by Yali Liu, Cui Ni, Peng Wang, Dongqing Yang, Hexin Yuan, Chao Ma

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Enhanced Performance of PAM7 MISO Underwater VLC System Utilizing Machine Learning Algorithm Based on DBSCAN by Meng Shi, Yiheng Zhao, Weixiang Yu, Yuchong Chen, Nan Chi

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Research on Optimization of Target Positioning Error Based on Unmanned Aerial Vehicle Platform by Yinglei Li, Qingping Hu, Shiyan Sun, Yuxiang Zhou, Wenjian Ying

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IMPLEMENTATION OF THE DBSCAN ALGORITHM FOR CLUSTERING STUNTING PREVALENCE TYPOLOGY IN WEST JAVA, CENTRAL JAVA, AND EAST JAVA REGIONS by Bagus Sumargo, Kadir Kadir, Dena Safariza, Munawar Asikin, Dania Siregar, Nilam Novita Sari, Danu Umbara, Rizky Hilmianto, Robert Kurniawan, Irman Firmansyah

“…The study used the DBSCAN (Density-Based Spatial Clustering of Application with Noise) method, which can also detect noises (outliers). …”
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Hyperspectral Anomaly Detection by Spatial–Spectral Fusion Based on Extreme Value-Entropy Band Selection and Cauchy Graph Distance Optimization by Song Zhao, Yali Lv, Wen Zhang, Lijun Wang, Zhiru Yang, Gaofeng Ren, Bin Wang, Xiaobin Zhao, Tongwei Lu, Jiayao Wang, Wei Li

“…Hyperspectral technology for detecting camouflaged targets in complex backgrounds represents a current research hotspot. Hyperspectral data often contain numerous spectral bands, which can lead to data redundancy. …”
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Research on Underwater Target Detection Technology Based on SMV-YOLOv11n by Dongcheng Liao, Yijun Shen, Jinyu Ou, Yanlian Du

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