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For: Ke B, Nguyen H, Bui XN, Bui HB, Nguyen-Thoi T. Prediction of the sorption efficiency of heavy metal onto biochar using a robust combination of fuzzy C-means clustering and back-propagation neural network. J Environ Manage 2021;293:112808. [PMID: 34034129 DOI: 10.1016/j.jenvman.2021.112808] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Revised: 05/14/2021] [Accepted: 05/15/2021] [Indexed: 06/12/2023]
Number Cited by Other Article(s)
1
Li J, Li S, Zhao W, Li J, Zhang K, Jiang Z. Distribution network line loss analysis method based on improved clustering algorithm and isolated forest algorithm. Sci Rep 2024;14:19554. [PMID: 39174587 PMCID: PMC11341686 DOI: 10.1038/s41598-024-68366-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Accepted: 07/23/2024] [Indexed: 08/24/2024]  Open
2
Hao H, Li P, Li K, Shan Y, Liu F, Hu N, Zhang B, Li M, Sang X, Xu X, Lv Y, Chen W, Jiao W. A novel prediction approach driven by graph representation learning for heavy metal concentrations. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024;947:174713. [PMID: 38997020 DOI: 10.1016/j.scitotenv.2024.174713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 06/14/2024] [Accepted: 07/09/2024] [Indexed: 07/14/2024]
3
Bai B, Wang L, Guan F, Cui Y, Bao M, Gong S. Prediction models for bioavailability of Cu and Zn during composting: Insights into machine learning. JOURNAL OF HAZARDOUS MATERIALS 2024;471:134392. [PMID: 38669932 DOI: 10.1016/j.jhazmat.2024.134392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 04/18/2024] [Accepted: 04/21/2024] [Indexed: 04/28/2024]
4
Yang X, Hou R, Fu Q, Li T, Li M, Cui S, Li Q, Liu M. A critical review of biochar as an environmental functional material in soil ecosystems for migration and transformation mechanisms and ecological risk assessment. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024;360:121196. [PMID: 38763117 DOI: 10.1016/j.jenvman.2024.121196] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 05/02/2024] [Accepted: 05/15/2024] [Indexed: 05/21/2024]
5
Oral B, Coşgun A, Günay ME, Yıldırım R. Machine learning-based exploration of biochar for environmental management and remediation. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024;360:121162. [PMID: 38749129 DOI: 10.1016/j.jenvman.2024.121162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 04/30/2024] [Accepted: 05/10/2024] [Indexed: 06/05/2024]
6
Huang W, Wang L, Zhu J, Dong L, Hu H, Yao H, Wang L, Lin Z. Application of machine learning in prediction of Pb2+ adsorption of biochar prepared by tube furnace and fluidized bed. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024;31:27286-27303. [PMID: 38507168 DOI: 10.1007/s11356-024-32951-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 03/12/2024] [Indexed: 03/22/2024]
7
Shen T, Peng H, Yuan X, Liang Y, Liu S, Wu Z, Leng L, Qin P. Feature engineering for improved machine-learning-aided studying heavy metal adsorption on biochar. JOURNAL OF HAZARDOUS MATERIALS 2024;466:133442. [PMID: 38244458 DOI: 10.1016/j.jhazmat.2024.133442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 01/02/2024] [Accepted: 01/03/2024] [Indexed: 01/22/2024]
8
Wang W, Chang JS, Lee DJ. Machine learning applications for biochar studies: A mini-review. BIORESOURCE TECHNOLOGY 2024;394:130291. [PMID: 38184089 DOI: 10.1016/j.biortech.2023.130291] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 12/20/2023] [Accepted: 12/31/2023] [Indexed: 01/08/2024]
9
Liang J, Wu M, Hu Z, Zhao M, Xue Y. Enhancing lead adsorption capacity prediction in biochar: a comparative study of machine learning models and parameter optimization. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023;30:120832-120843. [PMID: 37945960 DOI: 10.1007/s11356-023-30864-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 10/31/2023] [Indexed: 11/12/2023]
10
Gao H, Chen B, Qaisar M, Lou J, Sun Y, Cai J. Machine learning-based model construction and identification of dominant factor for simultaneous sulfide and nitrate removal process. BIORESOURCE TECHNOLOGY 2023;390:129848. [PMID: 37832854 DOI: 10.1016/j.biortech.2023.129848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 09/23/2023] [Accepted: 10/05/2023] [Indexed: 10/15/2023]
11
Liu W, He Y, Liu Z, Luo H, Liu T. A bilevel data-driven method for sewer deposit prediction under uncertainty. WATER RESEARCH 2023;231:119588. [PMID: 36680829 DOI: 10.1016/j.watres.2023.119588] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 12/13/2022] [Accepted: 01/05/2023] [Indexed: 06/17/2023]
12
Zhang Z, Li Y, Bai Y, Li Y, Liu M. Convolutional graph neural networks-based research on estimating heavy metal concentrations in a soil-rice system. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023;30:44100-44111. [PMID: 36689113 DOI: 10.1007/s11356-023-25358-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 01/12/2023] [Indexed: 01/24/2023]
13
Zhang W, Huang W, Tan J, Huang D, Ma J, Wu B. Modeling, optimization and understanding of adsorption process for pollutant removal via machine learning: Recent progress and future perspectives. CHEMOSPHERE 2023;311:137044. [PMID: 36330979 DOI: 10.1016/j.chemosphere.2022.137044] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 10/22/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
14
Zhang W, Huang W, Tan J, Guo Q, Wu B. Heterogeneous catalysis mediated by light, electricity and enzyme via machine learning: Paradigms, applications and prospects. CHEMOSPHERE 2022;308:136447. [PMID: 36116627 DOI: 10.1016/j.chemosphere.2022.136447] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 09/08/2022] [Accepted: 09/11/2022] [Indexed: 06/15/2023]
15
Almalawi A, Khan AI, Alqurashi F, Abushark YB, Alam MM, Qaiyum S. Modeling of Remora Optimization with Deep Learning Enabled Heavy Metal Sorption Efficiency Prediction onto Biochar. CHEMOSPHERE 2022;303:135065. [PMID: 35618070 DOI: 10.1016/j.chemosphere.2022.135065] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 05/11/2022] [Accepted: 05/20/2022] [Indexed: 06/15/2023]
16
Li P, Hao H, Zhang Z, Mao X, Xu J, Lv Y, Chen W, Ge D. A field study to estimate heavy metal concentrations in a soil-rice system: Application of graph neural networks. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022;832:155099. [PMID: 35398437 DOI: 10.1016/j.scitotenv.2022.155099] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 02/25/2022] [Accepted: 04/03/2022] [Indexed: 06/14/2023]
17
Prediction of Arsenic Removal from Contaminated Water Using Artificial Neural Network Model. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12030999] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
18
Zhang X, Ze Y, Sang J, Shi X, Bi Y, Shen S, Zhang X, Zhu D. Risk factors and diagnostic prediction models for papillary thyroid carcinoma. Front Endocrinol (Lausanne) 2022;13:938008. [PMID: 36133306 PMCID: PMC9483149 DOI: 10.3389/fendo.2022.938008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/15/2022] [Indexed: 12/07/2022]  Open
19
Zheng X, Nguyen H. A novel artificial intelligent model for predicting water treatment efficiency of various biochar systems based on artificial neural network and queuing search algorithm. CHEMOSPHERE 2022;287:132251. [PMID: 34826934 DOI: 10.1016/j.chemosphere.2021.132251] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 09/01/2021] [Accepted: 09/12/2021] [Indexed: 06/13/2023]
20
Lakshmi D, Akhil D, Kartik A, Gopinath KP, Arun J, Bhatnagar A, Rinklebe J, Kim W, Muthusamy G. Artificial intelligence (AI) applications in adsorption of heavy metals using modified biochar. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021;801:149623. [PMID: 34425447 DOI: 10.1016/j.scitotenv.2021.149623] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 07/29/2021] [Accepted: 08/09/2021] [Indexed: 05/22/2023]
21
Jiang Y, Li C, Zhang Y, Zhao R, Yan K, Wang W. Data-driven method based on deep learning algorithm for detecting fat, oil, and grease (FOG) of sewer networks in urban commercial areas. WATER RESEARCH 2021;207:117797. [PMID: 34731668 DOI: 10.1016/j.watres.2021.117797] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 09/17/2021] [Accepted: 10/20/2021] [Indexed: 06/13/2023]
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