BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

127 related articles for article (PubMed ID: 38641692)

  • 1. Prediction of potentially toxic elements in water resources using MLP-NN, RBF-NN, and ANFIS: a comprehensive review.
    Agbasi JC; Egbueri JC
    Environ Sci Pollut Res Int; 2024 May; 31(21):30370-30398. PubMed ID: 38641692
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Performance of ANFIS versus MLP-NN dissolved oxygen prediction models in water quality monitoring.
    Najah A; El-Shafie A; Karim OA; El-Shafie AH
    Environ Sci Pollut Res Int; 2014 Feb; 21(3):1658-1670. PubMed ID: 23949111
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Research on air pollutant concentration prediction method based on self-adaptive neuro-fuzzy weighted extreme learning machine.
    Li Y; Jiang P; She Q; Lin G
    Environ Pollut; 2018 Oct; 241():1115-1127. PubMed ID: 30029320
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Modeling daily water temperature for rivers: comparison between adaptive neuro-fuzzy inference systems and artificial neural networks models.
    Zhu S; Heddam S; Nyarko EK; Hadzima-Nyarko M; Piccolroaz S; Wu S
    Environ Sci Pollut Res Int; 2019 Jan; 26(1):402-420. PubMed ID: 30406582
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Application of artificial neural networks to predict the heavy metal contamination in the Bartin River.
    Ucun Ozel H; Gemici BT; Gemici E; Ozel HB; Cetin M; Sevik H
    Environ Sci Pollut Res Int; 2020 Dec; 27(34):42495-42512. PubMed ID: 32705560
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Modeling hourly dissolved oxygen concentration (DO) using two different adaptive neuro-fuzzy inference systems (ANFIS): a comparative study.
    Heddam S
    Environ Monit Assess; 2014 Jan; 186(1):597-619. PubMed ID: 24057665
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Combining data-intelligent algorithms for the assessment and predictive modeling of groundwater resources quality in parts of southeastern Nigeria.
    Egbueri JC; Agbasi JC
    Environ Sci Pollut Res Int; 2022 Aug; 29(38):57147-57171. PubMed ID: 35349055
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An improved adaptive neuro fuzzy inference system model using conjoined metaheuristic algorithms for electrical conductivity prediction.
    Ahmadianfar I; Shirvani-Hosseini S; He J; Samadi-Koucheksaraee A; Yaseen ZM
    Sci Rep; 2022 Mar; 12(1):4934. PubMed ID: 35322087
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Artificial neural networks and adaptive neuro-fuzzy inference systems for prediction of soil respiration in forested areas southern Brazil.
    Vicentini ME; da Silva PA; Canteral KFF; De Lucena WB; de Moraes MLT; Montanari R; Filho MCMT; Peruzzi NJ; La Scala N; De Souza Rolim G; Panosso AR
    Environ Monit Assess; 2023 Aug; 195(9):1074. PubMed ID: 37615714
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Rainfall prediction using multiple inclusive models and large climate indices.
    Mohamadi S; Sheikh Khozani Z; Ehteram M; Ahmed AN; El-Shafie A
    Environ Sci Pollut Res Int; 2022 Dec; 29(56):85312-85349. PubMed ID: 35790639
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Developing a fuzzy neural network-based support vector regression (FNN-SVR) for regionalizing nitrate concentration in groundwater.
    Hosseini SM; Mahjouri N
    Environ Monit Assess; 2014 Jun; 186(6):3685-99. PubMed ID: 24493265
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Performance evaluation of artificial intelligence paradigms-artificial neural networks, fuzzy logic, and adaptive neuro-fuzzy inference system for flood prediction.
    Tabbussum R; Dar AQ
    Environ Sci Pollut Res Int; 2021 May; 28(20):25265-25282. PubMed ID: 33453033
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Respiratory signal prediction based on adaptive boosting and multi-layer perceptron neural network.
    Sun WZ; Jiang MY; Ren L; Dang J; You T; Yin FF
    Phys Med Biol; 2017 Aug; 62(17):6822-6835. PubMed ID: 28665297
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparative study of different wavelet-based neural network models to predict sewage sludge quantity in wastewater treatment plant.
    Zeinolabedini M; Najafzadeh M
    Environ Monit Assess; 2019 Feb; 191(3):163. PubMed ID: 30772930
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms.
    Yazdani A; Shanbehzadeh M; Kazemi-Arpanahi H
    BMC Med Inform Decis Mak; 2023 Oct; 23(1):229. PubMed ID: 37858200
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Exergetic performance prediction of solar air heater using MLP, GRNN and RBF models of artificial neural network technique.
    Ghritlahre HK; Prasad RK
    J Environ Manage; 2018 Oct; 223():566-575. PubMed ID: 29975883
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine learning methods for the modelling and optimisation of biogas production from anaerobic digestion: a review.
    Ling JYX; Chan YJ; Chen JW; Chong DJS; Tan ALL; Arumugasamy SK; Lau PL
    Environ Sci Pollut Res Int; 2024 Mar; 31(13):19085-19104. PubMed ID: 38376778
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The Use of Artificial Neural Networks to Predict the Physicochemical Characteristics of Water Quality in Three District Municipalities, Eastern Cape Province, South Africa.
    Setshedi KJ; Mutingwende N; Ngqwala NP
    Int J Environ Res Public Health; 2021 May; 18(10):. PubMed ID: 34069195
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluation of multilayer perceptron neural networks and adaptive neuro-fuzzy inference systems for the mass transfer modeling of Echium amoenum Fisch. & C. A. Mey.
    Chasiotis V; Nadi F; Filios A
    J Sci Food Agric; 2021 Dec; 101(15):6514-6524. PubMed ID: 34000064
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Distribution and origin of potentially toxic elements in a multi-aquifer system.
    Gharaat MJ; Mohammadi Z; Rezanezhad F
    Environ Sci Pollut Res Int; 2020 Dec; 27(35):43724-43742. PubMed ID: 32740837
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.