These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

228 related articles for article (PubMed ID: 36240962)

  • 1. Air Quality Index prediction using an effective hybrid deep learning model.
    Sarkar N; Gupta R; Keserwani PK; Govil MC
    Environ Pollut; 2022 Dec; 315():120404. PubMed ID: 36240962
    [TBL] [Abstract][Full Text] [Related]  

  • 2. IoT-based monitoring system and air quality prediction using machine learning for a healthy environment in Cameroon.
    Folifack Signing VR; Mbarndouka Taamté J; Kountchou Noube M; Hamadou Yerima A; Azzopardi J; Tchuente Siaka YF; Saïdou
    Environ Monit Assess; 2024 Jun; 196(7):621. PubMed ID: 38879702
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods.
    Ayoobi N; Sharifrazi D; Alizadehsani R; Shoeibi A; Gorriz JM; Moosaei H; Khosravi A; Nahavandi S; Gholamzadeh Chofreh A; Goni FA; Klemeš JJ; Mosavi A
    Results Phys; 2021 Aug; 27():104495. PubMed ID: 34221854
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Data-driven predictive modeling of PM
    Masood A; Ahmad K
    Environ Monit Assess; 2022 Nov; 195(1):60. PubMed ID: 36326946
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Daily scale air quality index forecasting using bidirectional recurrent neural networks: Case study of Delhi, India.
    Pande CB; Kushwaha NL; Alawi OA; Sammen SS; Sidek LM; Yaseen ZM; Pal SC; Katipoğlu OM
    Environ Pollut; 2024 Jun; 351():124040. PubMed ID: 38685551
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multi-step short-term [Formula: see text] forecasting for enactment of proactive environmental regulation strategies.
    Gul S; Khan GM; Yousaf S
    Environ Monit Assess; 2022 Apr; 194(5):386. PubMed ID: 35445884
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improving PM
    Masood A; Hameed MM; Srivastava A; Pham QB; Ahmad K; Razali SFM; Baowidan SA
    Sci Rep; 2023 Nov; 13(1):21057. PubMed ID: 38030733
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction and assessment of the impact of COVID-19 lockdown on air quality over Kolkata: a deep transfer learning approach.
    Dutta D; Pal SK
    Environ Monit Assess; 2022 Dec; 195(1):223. PubMed ID: 36544059
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Air quality index forecast in Beijing based on CNN-LSTM multi-model.
    Zhang J; Li S
    Chemosphere; 2022 Dec; 308(Pt 1):136180. PubMed ID: 36058367
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Forecasting air quality time series using deep learning.
    Freeman BS; Taylor G; Gharabaghi B; Thé J
    J Air Waste Manag Assoc; 2018 Aug; 68(8):866-886. PubMed ID: 29652217
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Air quality prediction by machine learning models: A predictive study on the indian coastal city of Visakhapatnam.
    Ravindiran G; Hayder G; Kanagarathinam K; Alagumalai A; Sonne C
    Chemosphere; 2023 Oct; 338():139518. PubMed ID: 37454985
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Spatiotemporal analysis and forecasting of air quality in the greater Dhaka region and assessment of a novel particulate matter filtration unit.
    Rahman RR; Kabir A
    Environ Monit Assess; 2023 Jun; 195(7):824. PubMed ID: 37291439
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Impact of air pollutants on climate change and prediction of air quality index using machine learning models.
    Ravindiran G; Rajamanickam S; Kanagarathinam K; Hayder G; Janardhan G; Arunkumar P; Arunachalam S; AlObaid AA; Warad I; Muniasamy SK
    Environ Res; 2023 Dec; 239(Pt 1):117354. PubMed ID: 37821071
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An integrated 3D CNN-GRU deep learning method for short-term prediction of PM2.5 concentration in urban environment.
    Faraji M; Nadi S; Ghaffarpasand O; Homayoni S; Downey K
    Sci Total Environ; 2022 Aug; 834():155324. PubMed ID: 35452742
    [TBL] [Abstract][Full Text] [Related]  

  • 15. PM2.5 forecasting for an urban area based on deep learning and decomposition method.
    Zaini N; Ean LW; Ahmed AN; Abdul Malek M; Chow MF
    Sci Rep; 2022 Oct; 12(1):17565. PubMed ID: 36266317
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Air quality prediction using CNN+LSTM-based hybrid deep learning architecture.
    Gilik A; Ogrenci AS; Ozmen A
    Environ Sci Pollut Res Int; 2022 Feb; 29(8):11920-11938. PubMed ID: 34554404
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Water quality assessment of a river using deep learning Bi-LSTM methodology: forecasting and validation.
    Khullar S; Singh N
    Environ Sci Pollut Res Int; 2022 Feb; 29(9):12875-12889. PubMed ID: 33988840
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A reduced-form ensemble of short-term air quality forecasting with the Sparrow search algorithm and decomposition error correction.
    Hu K; Che J
    Environ Sci Pollut Res Int; 2023 Apr; 30(16):48508-48531. PubMed ID: 36759410
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Forecasting PM 2.5 concentration based on integrating of CEEMDAN decomposition method with SVM and LSTM.
    Ameri R; Hsu CC; Band SS; Zamani M; Shu CM; Khorsandroo S
    Ecotoxicol Environ Saf; 2023 Nov; 266():115572. PubMed ID: 37837695
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Sequential prediction of quantitative health risk assessment for the fine particulate matter in an underground facility using deep recurrent neural networks.
    Loy-Benitez J; Vilela P; Li Q; Yoo C
    Ecotoxicol Environ Saf; 2019 Mar; 169():316-324. PubMed ID: 30458398
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.