Mobile QR Code QR CODE

2025

Reject Ratio

81.5%

References

1 
C. Chai , L. Wang , D. Chen , J. Zhou , N. Li , H. Liu , Quantifying future water resource vulnerability in a high-mountain third pole river basin under climate change, Journal of Environmental Management, Vol. 367, Art. no. 121954, 2024DOI
2 
Y. Lu , X. Yang , D. Bian , Y. Chen , Y. Li , Z. Yuan , K. Wang , A novel approach for quantifying water resource spatial equilibrium based on the regional evaluation, spatiotemporal heterogeneity and geodetector analysis integrated model, Journal of Cleaner Production, Vol. 424, Art. no. 138791, 2023DOI
3 
M. Kasiselvanathan , C. V. S. R. Prasad , J. V. Arputharaj , A. Suresh , M. Sinduja , K. B. Prajna , M. Shanmugm , Prediction of ground water quality in western regions of Tamilnadu using LSTM network, Groundwater for Sustainable Development, Vol. 25, Art. no. 101156, 2024DOI
4 
S. Manikandan , S. R. Deena , R. Subbaiya , D. S. Vijayan , S. Vickram , B. Preethi , N. Karmegam , Waves of change: Electrochemical innovations for environmental management and resource recovery from water–A review, Journal of Environmental Management, Vol. 366, Art. no. 121879, 2024DOI
5 
S. S. Matsuzaki , A. Kohzu , M. Watanabe , N. I. Kondo , A. Tatsuta , Use of legacy nitrogen as a resource: Unfertilized lotus fields contribute to water quality improvement and biodiversity conservation, Nature-Based Solutions, Vol. 4, Art. no. 100080, 2023DOI
6 
M. S. Sajna , T. Elmakki , K. Schipper , S. Ihm , Y. Yoo , B. Park , H. Park , H. K. Shon , D. S. Han , Integrated seawater hub: A nexus of sustainable water, energy, and resource generation, Desalination, Vol. 571, Art. no. 117065, 2024DOI
7 
A. Nanda , N. Das , G. Singh , R. Bindlish , K. M. Andreadis , S. Jayasinghe , Harnessing SMAP satellite soil moisture product to optimize soil properties to improve water resource management for agriculture, Agricultural Water Management, Vol. 300, Art. no. 108918, 2024DOI
8 
A. Nativio , Z. Kapelan , J. P. van der Hoek , Risk assessment methods for water resource recovery for the production of bio-composite materials: Literature review and future research directions, Environmental Challenges, Vol. 9, Art. no. 100645, 2022DOI
9 
N. Rey-Martínez , A. Guisasola , J. A. Baeza , Assessment of the significance of heavy metals, pesticides and other contaminants in recovered products from water resource recovery facilities, Resources, Conservation and Recycling, Vol. 182, Art. no. 106313, 2022DOI
10 
U. W. R. Siagian , L. Lustiyani , K. Khoiruddin , S. Ismadji , I. G. Wenten , S. Adisasmito , From waste to resource: Membrane technology for effective treatment and recovery of valuable elements from oilfield produced water, Environmental Pollution, Vol. 340, Art. no. 122717, 2024DOI
11 
M. Sun , L. Zhang , R. Yang , X. Li , J. Zhao , Q. Liu , Water resource dynamics and protection strategies for inland lakes: A case study of Hongjiannao Lake, Journal of Environmental Management, Vol. 355, Art. no. 120462, 2024DOI
12 
H. Thuret-Benoist , V. Pallier , G. Feuillade-Cathalifaud , Monitoring of the impact of the proliferations of cyanobacteria on the characteristics of natural organic matter in a eutrophic water resource: Comparison between 2012-2013 and 2017-2018, Chemosphere, Vol. 291, Art. no. 132834, 2022DOI
13 
M. G. Uddin , A. Rahman , F. R. Taghikhah , A. I. Olbert , Data-driven evolution of water quality models: An in-depth investigation of innovative outlier detection approaches–A case study of the Irish Water Quality Index (IEWQI) model, Water Research, Vol. 255, Art. no. 121499, 2024DOI
14 
C. Wu , K. Tang , C. Lu , Y. Zhao , X. Zhang , Q. Sun , L. Yan , Resource and environmental risk assessment of groundwater well fields in the Beijing-Tianjin-Hebei region, Groundwater for Sustainable Development, Vol. 26, Art. no. 101235, 2024DOI
15 
M. Anand , S. K. Goswami , D. Chatterjee , A. Bhattacharya , M. J. Piran , Modified Jaya optimization and TOPSIS for determining the optimal frequency in LF-HVac, Applied Soft Computing, Vol. 158, Art. no. 111573, 2024DOI
16 
K. K. Chakravarthi , L. Shyamala , V. Vaidehi , TOPSIS-inspired cost-efficient concurrent workflow scheduling algorithm in cloud, Journal of King Saud University-Computer and Information Sciences, Vol. 34, No. 6, pp. 2359-2369, 2022DOI
17 
N. Ezhilarasan , C. Vijayalakshmi , Optimization of fuzzy programming with TOPSIS algorithm, Procedia Computer Science, Vol. 172, pp. 473-479, 2020DOI
18 
G. Fu , B. Li , Y. Yang , C. Li , Re-ranking and TOPSIS-based ensemble feature selection with multi-stage aggregation for text categorization, Pattern Recognition Letters, Vol. 168, pp. 47-56, 2023DOI
19 
S. Fu , H. Fu , Modeling and TOPSIS-GRA algorithm for autonomous driving decision-making under 5G-V2X infrastructure, Computers, Materials & Continua, Vol. 75, No. 1, pp. 1051-1071, 2023DOI
20 
D. N. Jayakumar , P. Venkatesh , Glowworm swarm optimization algorithm with TOPSIS for solving multiple-objective environmental economic dispatch problem, Applied Soft Computing, Vol. 23, pp. 375-386, 2014DOI
21 
J. Jin , H. Garg , Intuitionistic fuzzy three-way ranking-based TOPSIS approach with a novel entropy measure and its application to medical treatment selection, Advances in Engineering Software, Vol. 180, Art. no. 103459, 2023DOI
22 
J. Kacprzyk , A. Bozhenyuk , E. Gerasimenko , Lexicographic maximum dynamic evacuation modeling with partial lane reversal based on hesitant fuzzy TOPSIS, Applied Soft Computing, Vol. 144, Art. no. 110435, 2023DOI
23 
M. A. M. A. Kermani , A. Badiee , A. Aliahmadi , M. Ghazanfari , H. Kalantari , Introducing a procedure for developing a novel centrality measure (sociability centrality) for social networks using the TOPSIS method and a genetic algorithm, Computers in Human Behavior, Vol. 56, pp. 295-305, 2016DOI
24 
R. A. Krohling , R. Lourenzutti , M. Campos , Ranking and comparing evolutionary algorithms with Hellinger-TOPSIS, Applied Soft Computing, Vol. 37, pp. 217-226, 2015DOI
25 
R. A. Krohling , A. G. C. Pacheco , A-TOPSIS–An approach based on TOPSIS for ranking evolutionary algorithms, Procedia Computer Science, Vol. 55, pp. 308-317, 2015DOI
26 
P. K. Kwok , H. Y. K. Lau , Hotel selection using a modified TOPSIS-based decision support algorithm, Decision Support Systems, Vol. 120, pp. 95-105, 2019DOI
27 
X. Li , Y. Luo , H. Wang , J. Lin , B. Deng , Doctor selection based on aspect-based sentiment analysis and the neutrosophic TOPSIS method, Engineering Applications of Artificial Intelligence, Vol. 124, Art. no. 106599, 2023DOI
28 
G. B. do Nascimento , M. dos Santos , Performance evaluation of machine learning algorithms for network anomaly detection: An approach through the AHP-TOPSIS-2N method, Procedia Computer Science, Vol. 214, pp. 164-171, 2022DOI
29 
E. Roszkowska , T. Wachowicz , Application of fuzzy TOPSIS to scoring the negotiation offers in ill-structured negotiation problems, European Journal of Operational Research, Vol. 242, No. 3, pp. 920-932, 2015DOI
30 
R. Susmaga , I. Szczęch , D. Brzezinski , Towards explainable TOPSIS: Visual insights into the effects of weights and aggregations on rankings, Applied Soft Computing, Vol. 153, Art. no. 111279, 2024DOI