A survey on feature selection methods

Cited by (1,004)

Items 501–600 of 1,004

1. Hierarchical feature selection based on relative dependency for gear fault diagnosis
   Mariela Cerrada, René–Vinicio Sánchez, Fannia Pacheco, Diego R. Cabrera, Grover Zurita, Chuan Li · 2015 · Applied Intelligence
2. Spam detection on social networks using cost-sensitive feature selection and ensemble-based regularized deep neural networks
   Aliaksandr Barushka, Petr Hájek · 2019 · Neural Computing and Applications
3. Feature Selection by Firefly Algorithm with Improved Initialization Strategy
   Timea Bezdan, Dušan Cvetnić, Luka Gajic, Miodrag Z. Zivkovic, Ivana Strumberger, Nebojša Bačanin · 2021
4. Comparison of short-term electrical load forecasting methods for different building types
   Arne Groß, Antonia Lenders, Friedhelm Schwenker, Daniel A. Braun, David S. Fischer · 2021 · Energy Informatics
5. Novel hybrid machine learning optimizer algorithms to prediction of fracture density by petrophysical data
   Meysam Rajabi, Saeed Beheshtian, Shadfar Davoodi, Hamzeh Ghorbani, Nima Mohamadian, Ahmed E. Radwan, Mehdi Ahmadi Alvar · 2021 · Journal of Petroleum Exploration and Production Technology
6. Bi-Directional Feature Fixation-Based Particle Swarm Optimization for Large-Scale Feature Selection
   Jia-Quan Yang, Qi-Te Yang, Ke-Jing Du, Chunhua Chen, Hua Wang, Sang-Woon Jeon, Jun Zhang, Zhi‐Hui Zhan · 2022 · IEEE Transactions on Big Data
7. Paving the way with machine learning for seamless indoor–outdoor positioning: A survey
   Manjarini Mallik, Ayan Kumar Panja, Chandreyee Chowdhury · 2023 · Information Fusion
8. Comparative performance analysis of Boruta, SHAP, and Borutashap for disease diagnosis: A study with multiple machine learning algorithms
   Chukwuebuka Joseph Ejiyi, Zhen Qin, Chiagoziem C. Ukwuoma, Grace Ugochi Nneji, Happy Nkanta Monday, Makuachukwu Bennedith Ejiyi, Thomas Ugochukwu Ejiyi, Uchenna S. Okechukwu, Olusola Bamisile · 2024 · Network Computation in Neural Systems
9. High-dimensional hybrid feature selection using interaction information-guided search
   Songyot Nakariyakul · 2018 · Knowledge-Based Systems
10. A novel method for classification of BCI multi-class motor imagery task based on Dempster–Shafer theory
    Sara Razi, Mohammad Reza Karami Mollaei, Jamal Ghasemi · 2019 · Information Sciences
11. Feature selection and extraction in spatiotemporal traffic forecasting: a systematic literature review
    Dmitry Pavlyuk · 2019 · European Transport Research Review
12. Machine Learning and Feature Selection Applied to SEER Data to Reliably Assess Thyroid Cancer Prognosis
    Moustafa W. Mourad, Sami Pierre Moubayed, Aaron R. Dezube, Youssef Mourad, Kyle T. Park, Albertina Torreblanca-Zanca, José S. Torrecilla, John C. Cancilla, Jiwu Wang · 2020 · Scientific Reports
13. A Multikernel and Metaheuristic Feature Selection Approach for IoT Malware Threat Hunting in the Edge Layer
    Hamed HaddadPajouh, Alireza Mohtadi, Ali Dehghantanha, Hadis Karimipour, Xiaodong Lin, Kim‐Kwang Raymond Choo · 2020 · IEEE Internet of Things Journal
14. Annual Research Review: Translational machine learning for child and adolescent psychiatry
    Dominic Dwyer, Nikolaos Koutsouleris · 2022 · Journal of Child Psychology and Psychiatry
15. Prediction of the frost resistance of high-performance concrete based on RF-REF: A hybrid prediction approach
    Xianguo Wu, Shiyi Zheng, Zongbao Feng, Bin Chen, Yawei Qin, Wen Hai Xu, Yang Liu · 2022 · Construction and Building Materials
16. A Classification Model of EEG Signals Based on RNN-LSTM for Diagnosing Focal and Generalized Epilepsy
    Tahereh Najafi, Rosmina Jaafar, Rabani Remli, Wan Asyraf Wan Zaidi · 2022 · Sensors
17. Machine learning technology for early prediction of grain yield at the field scale: A systematic review
    Joerg Leukel, Tobias Zimpel, Christoph Stumpe · 2023 · Computers and Electronics in Agriculture
18. Distributed selection of continuous features in multilabel classification using mutual information
    Gonzalez-Lopez, Jorge, Ventura, Sebastian, Cano, Alberto · 2019 · IEEE Transactions on Neural Networks and Learning Systems
19. A novel method of constrained feature selection by the measurement of pairwise constraints uncertainty
    Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh · 2020 · Journal Of Big Data
20. Computer-aided diagnosis of liver lesions using CT images: A systematic review
    P. Vaidehi Nayantara, Surekha R Kamath, Kanabagatte Nanjundappa Manjunath, K.V. Rajagopal · 2020 · Computers in Biology and Medicine
21. Automated major depressive disorder detection using melamine pattern with EEG signals
    Emrah Aydemir, Türker Tuncer, Şengül Doğan, Raj Gururajan, U. Rajendra Acharya · 2021 · Applied Intelligence
22. A survey on feature selection methods for mixed data
    Saúl Solorio-Fernández, Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad · 2021 · Artificial Intelligence Review
23. Improving Symbolic Regression for Predicting Materials Properties with Iterative Variable Selection
    Zhen Guo, Shunbo Hu, Zhongkang Han, Runhai Ouyang · 2022 · Journal of Chemical Theory and Computation
24. Evaluation of the support vector regression (SVR) and the random forest (RF) models accuracy for streamflow prediction under a data-scarce basin in Morocco
    Bouchra Bargam, Abdelghani Boudhar, Christophe Kinnard, Hafsa Bouamri, Karima Nifa, Abdelghani Chehbouni · 2024 · Discover Applied Sciences
25. Shielding networks: enhancing intrusion detection with hybrid feature selection and stack ensemble learning
    Ali Mohammed Alsaffar, Mostafa Nouri-Baygi, Hamed Majidi Zolbanin · 2024 · Journal Of Big Data
26. Investigation on particle swarm optimisation for feature selection on high-dimensional data: local search and selection bias
    Binh Tran, Bing Xue, Mengjie Zhang, Su Nguyen · 2016 · Connection Science
27. Adaptive Seizure Onset Detection Framework Using a Hybrid PCA–CSP Approach
    Sina Khanmohammadi, Chun-An Chou · 2017 · IEEE Journal of Biomedical and Health Informatics
28. NCTN Assessment on Current Applications of Radiomics in Oncology
    Ke Nie, Hania Al‐Hallaq, X. Allen Li, Stanley Benedict, Jason W. Sohn, Jean M. Moran, Yong Fan A, Mi Huang, Michael Vinzenz Knopp, Jeff M. Michalski et al. · 2019 · International Journal of Radiation Oncology*Biology*Physics
29. A hierarchical structure based on Stacking approach for skin lesion classification
    Ghasem Shakourian Ghalejoogh, Hussain Montazery Kordy, Farideh Ebrahimi · 2019 · Expert Systems with Applications
30. Optimizing kernel methods to reduce dimensionality in fault diagnosis of industrial systems
    José Manuel Bernal de Lázaro, Alberto Prieto-Moreno, Orestes Llanes‐Santiago, Antônio José da Silva Neto · 2015 · Computers & Industrial Engineering
31. An Adaptive Harmony Search Approach for Gene Selection and Classification of High Dimensional Medical Data
    Rasmita Dash · 2018 · Journal of King Saud University - Computer and Information Sciences
32. Recursive Feature Elimination by Sensitivity Testing
    Nicholas Escanilla, Lisa Hellerstein, Ross Kleiman, Zhaobin Kuang, James D. Shull, David Page · 2018 · International Conference on Machine Learning and Applications
33. Machine Learning for Detecting Data Exfiltration
    Bushra Sabir, Faheem Ullah, Muhammad Ali Babar, Raj Gaire · 2021 · ACM Computing Surveys
34. Feature Selection in Imbalanced Data
    Firuz Kamalov, Fadi Thabtah, Ho‐Hon Leung · 2022 · Annals of Data Science
35. A survey of machine learning approaches in animal behaviour
    Natasa Kleanthous, Abir Jaafar Hussain, Wasiq Khan, Jennifer C. Sneddon, Ahmed I. Al-Shamma'a, Panos Liatsis · 2022 · Neurocomputing
36. Estimating pasture aboveground biomass under an integrated crop-livestock system based on spectral and texture measures derived from UAV images
    Rodrigo Greggio de Freitas, Francisco R. da S. Pereira, Aliny Aparecida dos Reis, Paulo Sérgio Graziano Magalhães, Gleyce Kelly Dantas Araújo Figueiredo, Lucas Rios do Amaral · 2022 · Computers and Electronics in Agriculture
37. A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian population
    Mohammad Ziaul Islam Chowdhury, Alexander A. C. Leung, Robin L. Walker, Khokan C. Sikdar, Maeve O’Beirne, Hude Quan, Tanvir Chowdhury Turin · 2023 · Scientific Reports
38. Feature selection on quantum computers
    Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski · 2023 · Quantum Machine Intelligence
39. A systematic approach to diagnose Parkinson’s disease through kinematic features extracted from handwritten drawings
    Rohit Lamba, Tarun Gulati, Kawther A. Al‐Dhlan, Anurag Jain · 2021 · Journal of Reliable Intelligent Environments
40. Compressive Sampling and Feature Ranking Framework for Bearing Fault Classification With Vibration Signals
    Hosameldin Ahmed, Asoke K. Nandi · 2018 · IEEE Access
41. Binary spotted hyena optimizer and its application to feature selection
    Vijay Kumar, Avneet Kaur · 2019 · Journal of Ambient Intelligence and Humanized Computing
42. Privacy-Preserving Schemes for Safeguarding Heterogeneous Data Sources in Cyber-Physical Systems
    Marwa Keshk, Benjamin Turnbull, Elena Sitnikova, Dinusha Vatsalan, Nour Moustafa · 2021 · IEEE Access
43. Rapid quantification of demand response potential of building HAVC system via data-driven model
    Jie Zhu, Jide Niu, Zhe Tian, Ruoyu Zhou, Chuang Ye · 2022 · Applied Energy
44. Supervised learning of a chemistry functional with damped dispersion
    Yiwei Liu, Cheng ZHANG, Zhonghua Liu, Donald G. Truhlar, Ying Wang, Xiao Dong He · 2022 · Nature Computational Science
45. Feature Selection in Machine Learning for Perovskite Materials Design and Discovery
    Junya Wang, Pengcheng Xu, Xiaobo Ji, Minjie Li, Wencong Lu · 2023 · Materials
46. Binary coordinate ascent: An efficient optimization technique for feature subset selection for machine learning
    Amin Zarshenas, Kenji Suzuki · 2016 · Knowledge-Based Systems
47. Fuzzy cluster based neural network classifier for classifying breast tumors in ultrasound images
    Bikesh Kumar Singh, Kesari Verma, A. S. Thoke · 2016 · Expert Systems with Applications
48. A principled machine learning framework improves accuracy of stage II colorectal cancer prognosis
    Neofytos Dimitriou, Ognjen Arandjelović, David James Harrison, Peter D. Caie · 2018 · npj Digital Medicine
49. A comparative study on feature selection for a risk prediction model for colorectal cancer
    Nahúm Cueto-López, María Teresa Garcí­a-Ordás, Verónica Dávila‐Batista, Victor Rau Moreno, Núria Aragonés, Rocío Aláiz-Rodríguez · 2019 · Computer Methods and Programs in Biomedicine
50. Potential of Ensemble Learning to Improve Tree-Based Classifiers for Landslide Susceptibility Mapping
    Jiahui Song, Yi Wang, Zhice Fang, Ling Peng, Haoyuan Hong · 2020 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
51. RETRACTED ARTICLE: A novel optimal feature selection technique for medical data classification using ANOVA based whale optimization
    Usha Moorthy, Usha Devi Gandhi · 2020 · Journal of Ambient Intelligence and Humanized Computing · Retracted
52. Feature Selection for Recommender Systems with Quantum Computing
    Riccardo Nembrini, Maurizio Ferrari Dacrema, P. Cremonesi · 2021 · Entropy
53. The divergence between potential and actual evapotranspiration: An insight from climate, water, and vegetation change
    Yuan Liu, Qi Jiang, Qianyang Wang, Yongliang Jin, Qimeng Yue, Jingshan Yu, Yuexin Zheng, Weiwei Jiang, Xiaolei Yao · 2021 · The Science of The Total Environment
54. Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning
    Nora Mahmoud El-Rashidy, Tamer Abuhmed, Louai Alarabi, Hazem Mokhtar El-Bakry, Samir Mohamed Abdelrazek, Farman Ali, Shaker El–Sappagh · 2021 · Neural Computing and Applications
55. A Hybrid Feature Selection Approach for Parkinson’s Detection Based on Mutual Information Gain and Recursive Feature Elimination
    Rohit Lamba, Tarun Gulati, Anurag Jain · 2022 · Arabian Journal for Science and Engineering
56. Integrating data augmentation and hybrid feature selection for small sample credit risk assessment with high dimensionality
    Xiaoming Zhang, Lean Yu, Hang Yin, Kin Keung Lai · 2022 · Computers & Operations Research
57. Assessing landslide susceptibility based on hybrid Best-first decision tree with ensemble learning model
    Haoyuan Hong · 2023 · Ecological Indicators
58. A Machine Learning Method with Hybrid Feature Selection for Improved Credit Card Fraud Detection
    Ibomoiye Domor Mienye, Yanxia Sun · 2023 · Applied Sciences
59. A survey on sentiment analysis and its applications
    Tamara Amjad Al-Qablan, Mohd Halim Mohd Noor, Mohammed Azmi Al‐Betar, Ahamad Tajudin Khader · 2023 · Neural Computing and Applications
60. Random forest dissimilarity based multi-view learning for Radiomics application
    Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte · 2018 · Pattern Recognition
61. Stretchable e-Skin Patch for Gesture Recognition on the Back of the Hand
    Shuo Jiang, Ling Li, Haipeng Xu, Junkai Xu, Guoying Gu, Peter Bradley Shull · 2019 · IEEE Transactions on Industrial Electronics
62. Machine Learning Protocols in Early Cancer Detection Based on Liquid Biopsy: A Survey
    Linjing Liu, Xingjian Chen, Olutomilayo Olayemi Petinrin, Weitong Zhang, Saifur Rahaman, Zhi‐Ri Tang, Ka‐Chun Wong · 2021 · Life
63. Late Acceptance Hill Climbing Based Social Ski Driver Algorithm for Feature Selection
    Bitanu Chatterjee, Trinav Bhattacharyya, Kushal Kanti Ghosh, Pawan Kumar Singh, Zong Woo Geem, Ram Sarkar · 2020 · IEEE Access
64. Feature selection approach using ensemble learning for network anomaly detection
    Doreswamy, Mohammad Kazim Hooshmand, Ibrahim Gad · 2020 · CAAI Transactions on Intelligence Technology
65. Atrial fibrillation detection using heart rate variability and atrial activity: A hybrid approach
    Gerald Hirsch, Søren H. Jensen, Erik S. Poulsen, Sadasivan K Puthusserypady · 2020 · Expert Systems with Applications
66. An efficient correlation based adaptive LASSO regression method for air quality index prediction
    Jasleen Kaur Sethi, Mamta Mittal · 2021 · Earth Science Informatics
67. Survival prediction of heart failure patients using machine learning techniques
    Asif Newaz, Nadim Ahmed, Farhan Shahriyar Haq · 2021 · Informatics in Medicine Unlocked
68. An AI-Enabled Internet of Things Based Autism Care System for Improving Cognitive Ability of Children with Autism Spectrum Disorders
    Mohamed Abdel Hameed, M. Hassaballah, Mosa E. Hosney, Abdullah Alqahtani · 2022 · Computational Intelligence and Neuroscience · Retracted
69. Radio frequency fingerprinting techniques for device identification: a survey
    Sohail Abbas, Manar Wasif Abu Talib, Qassim Nasir, Sally Idhis, Mariam M. Alaboudi, Ali Wagdy Mohamed · 2023 · International Journal of Information Security
70. Enhancing Network Threat Detection with Random Forest-Based NIDS and Permutation Feature Importance
    Mohammed Abdelaziz, Abdelrahman Radwan, Hesham Mamdouh, Adel Saeed Saad, Abdulrahman Salem Abuzaid, Ahmed Ayman AbdElhakeem, Salma Zakzouk, Kareem Moussa, M. Saeed Darweesh · 2024 · Journal of Network and Systems Management
71. AI-Integrated QSAR Modeling for Enhanced Drug Discovery: From Classical Approaches to Deep Learning and Structural Insight
    Mahesh Koirala, Lindy Yan, Zoser Mohamed, Mario DiPaola · 2025 · International Journal of Molecular Sciences
72. Spatial Distribution and Mobility Assessment of Carcinogenic Heavy Metals in Soil Profiles Using Geostatistics and Random Forest, Boruta Algorithm
    Asma Shaheen, Javed Iqbal · 2018 · Sustainability
73. Route Prediction for Instant Delivery
    Yan Zhang, Yunhuai Liu, Genjian Li, Yi Chao Ding, Ning Chen, Hao Zhang, Tian He, Desheng Zhang · 2019 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
74. Ensemble of extreme learning machines for multivariate calibration of near-infrared spectroscopy
    Hui Chen, Chao Tan, Zan Lin · 2019 · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy
75. Selection of CMIP5 GCM Ensemble for the Projection of Spatio-Temporal Changes in Precipitation and Temperature over the Niger Delta, Nigeria
    Ibrahim T. M. Hassan, Robert M. Kalin, Christopher J. White, Jamiu Abimbola Aladejana · 2020 · Water
76. Neuromarkers for Mental Disorders: Harnessing Population Neuroscience
    Jollans, Lee, Whelan, Robert · 2018 · Frontiers in Psychiatry
77. A new hybrid feature selection approach using feature association map for supervised and unsupervised classification
    Amit Kumar Das, Saptarsi Goswami, Amlan Chakrabarti, Basabi Chakraborty · 2017 · Expert Systems with Applications
78. A bi-level machine learning method for fault diagnosis of oil-immersed transformers with feature explainability
    Di Zhang, Canbing Li, Mohammad Shahidehpour, Qiuwei Wu, Bin Zhou, Cong Zhang, Wentao Huang · 2021 · International Journal of Electrical Power & Energy Systems
79. Evaluation of different machine learning frameworks to predict CNL-FDC-PEF logs via hyperparameters optimization and feature selection
    Auref Rostamian, Ehsan Heidaryan, Mehdi Ostadhassan · 2021 · Journal of Petroleum Science and Engineering
80. The temperature-sensitive point screening for spindle thermal error modeling based on IBGOA-feature selection
    Guolong Li, Xiaodong Tang, Zheyu Li, Kai Xu, Chuanzhen Li · 2021 · Precision Engineering
81. The use of artificial intelligence systems in diagnosis of pneumonia via signs and symptoms: A systematic review
    Katy Stokes, Rossana Castaldo, Carlo Federici, Silvio Marcello Pagliara, Alessia Maccaro, Francesco Paolo Cappuccio, Giuseppe Fico, Marco Salvatore, Monica Franzese, Leandro Pecchia · 2021 · Biomedical Signal Processing and Control
82. A Short Review on Minimum Description Length: An Application to Dimension Reduction in PCA
    Vittoria Bruni, Maria Lucia Cardinali, Domenico Vitulano · 2022 · Entropy
83. Particle ranking: An Efficient Method for Multi-Objective Particle Swarm Optimization Feature Selection
    Abdolreza Rashno, Milad Shafipour, Sadegh Fadaei · 2022 · Knowledge-Based Systems
84. An adaptive feature selection schema using improved technical indicators for predicting stock price movements
    Gang Ji, Jingmin Yu, Kai Hu, Jie Xie, Xunsheng Ji · 2022 · Expert Systems with Applications
85. A self-driven approach for multi-class discrimination in Alzheimer's disease based on wearable EEG
    Eduardo Perez‐Valero, M. A. López-Gordo, Christian A. Morillas, Ismael Carrera-Muñoz, Rosa M. Vílchez-Carrillo · 2022 · Computer Methods and Programs in Biomedicine
86. Random forest-based modeling of stream nutrients at national level in a data-scarce region
    Holger Virro, Alexander Kmoch, Marko Vainu, Evelyn Uuemaa · 2022 · The Science of The Total Environment
87. Machine learning versus human learning in predicting glass-forming ability of metallic glasses
    Guannan Liu, Sungwoo Sohn, Sebastian Alexander Kube, Arindam Raj, Andrew Mertz, Aya Nawano, Anna Gilbert, Mark D. Shattuck, Corey S. O’Hern, Jan Schroers · 2022 · Acta Materialia
88. Supervised machine learning for theory building and testing: Opportunities in operations management
    Yen‐Chun Chou, Howard Hao‐Chun Chuang, Ping Chou, Rogelio Oliva · 2023 · Journal of Operations Management
89. Prognostics of multiple failure modes in rotating machinery using a pattern-based classifier and cumulative incidence functions
    Ahmed Ragab, Soumaya Yacout, Mohamed-Salah Ouali, Hany Osman · 2016 · Journal of Intelligent Manufacturing
90. Discriminative feature selection for on-line signature verification
    Xinghua Xia, Xiaoyu Song, Fangun Luan, Jungang Zheng, Zhili Chen, Xiaofu Ma · 2017 · Pattern Recognition
91. An integrated machine learning framework for hospital readmission prediction
    Shancheng Jiang, Kwai‐Sang Chin, Gang Qu, Kwok‐Leung Tsui · 2018 · Knowledge-Based Systems
92. Energy-Efficient Wireless Sensor Network with an Unequal Clustering Protocol Based on a Balanced Energy Method (EEUCB)
    Ahmed A. Jasim, Mohd Yamani Idna Idris, Saaidal Razalli Azzuhri, Noor Riyadh Issa, Muhammad Towfiqur Rahman, Muhammad Farris Khyasudeen · 2021 · Sensors
93. Multi-stage dimension reduction for expensive sparse multi-objective optimization problems
    Zheng Tan, Handing Wang, Shulei Liu · 2021 · Neurocomputing
94. Drilling Rate of Penetration Prediction of High-Angled Wells Using Artificial Neural Networks
    Ahmed K. Abbas, Salih Rushdi, Mortadha Alsaba, Mohammed F. Al Dushaishi · 2019 · Journal of Energy Resources Technology
95. Hybrid Machine-Learning-Based Spectrum Sensing and Allocation With Adaptive Congestion-Aware Modeling in CR-Assisted IoV Networks
    Ramsha Ahmed, Yueyun Chen, Bilal Hassan, Liping Du, Taimur Hassan, Jorge M.M. Dias · 2022 · IEEE Internet of Things Journal
96. Continuous Estimation of Human Knee Joint Angles by Fusing Kinematic and Myoelectric Signals
    Ning Sun, Menglin Cao, Yuhao Chen, Yanni Chen, Jue Wang, Qiong Wang, Xiaocong Chen, Tian Liu · 2022 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
97. Feature Selection by mRMR Method for Heart Disease Diagnosis
    Gaoshuai Wang, Fabrice Lauri, Amir Hajjam El Hassani · 2022 · IEEE Access
98. Feature selection-based machine learning modeling for distributed model predictive control of nonlinear processes
    Tianyi Zhao, Yingzhe Zheng, Zhe Wu · 2022 · Computers & Chemical Engineering
99. Enhanced Feature Selection Using Genetic Algorithm for Machine-Learning-Based Phishing URL Detection
    Emre Koçyiğit, Mehmet Korkmaz, Özgür Koray Şahingöz, Banu Di̇ri̇ · 2024 · Applied Sciences
100. Data-Driven Insights into Climate Change Effects on Groundwater Levels Using Machine Learning
     Xueqiang Lu, Zimo Wang, Menghao Zhao, Songzhe Peng, Song Geng, Hamzeh Ghorbani · 2025 · Water Resources Management