BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1059 related articles for article (PubMed ID: 33525099)

  • 1. Artificial Intelligence based accurately load forecasting system to forecast short and medium-term load demands.
    Butt FM; Hussain L; Mahmood A; Lone KJ
    Math Biosci Eng; 2020 Dec; 18(1):400-425. PubMed ID: 33525099
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A COVID-19 Pandemic Artificial Intelligence-Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study.
    Yu CS; Chang SS; Chang TH; Wu JL; Lin YJ; Chien HF; Chen RJ
    J Med Internet Res; 2021 May; 23(5):e27806. PubMed ID: 33900932
    [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. 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]  

  • 5. Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution.
    Ullah I; Muhammad Hasanat S; Aurangzeb K; Alhussein M; Rizwan M; Anwar MS
    PeerJ Comput Sci; 2023; 9():e1487. PubMed ID: 37810340
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An ensemble method to forecast 24-h ahead solar irradiance using wavelet decomposition and BiLSTM deep learning network.
    Singla P; Duhan M; Saroha S
    Earth Sci Inform; 2022; 15(1):291-306. PubMed ID: 34804244
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework.
    Khan ZA; Hussain T; Ullah A; Rho S; Lee M; Baik SW
    Sensors (Basel); 2020 Mar; 20(5):. PubMed ID: 32143371
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Novel Hybrid Data-Driven Model for Daily Land Surface Temperature Forecasting Using Long Short-Term Memory Neural Network Based on Ensemble Empirical Mode Decomposition.
    Zhang X; Zhang Q; Zhang G; Nie Z; Gui Z; Que H
    Int J Environ Res Public Health; 2018 May; 15(5):. PubMed ID: 29883381
    [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. Artificial intelligence-based forecasting model for incinerator in sulfur recovery units to predict SO
    Thameem M; Raj A; Berrouk A; Jaoude MA; AlHammadi AA
    Environ Res; 2024 May; 249():118329. PubMed ID: 38325781
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep learning models for forecasting dengue fever based on climate data in Vietnam.
    Nguyen VH; Tuyet-Hanh TT; Mulhall J; Minh HV; Duong TQ; Chien NV; Nhung NTT; Lan VH; Minh HB; Cuong D; Bich NN; Quyen NH; Linh TNQ; Tho NT; Nghia ND; Anh LVQ; Phan DTM; Hung NQV; Son MT
    PLoS Negl Trop Dis; 2022 Jun; 16(6):e0010509. PubMed ID: 35696432
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel hybrid model based on two-stage data processing and machine learning for forecasting chlorophyll-a concentration in reservoirs.
    Yu W; Wang X; Jiang X; Zhao R; Zhao S
    Environ Sci Pollut Res Int; 2024 Jan; 31(1):262-279. PubMed ID: 38015396
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Short and Long term predictions of Hospital emergency department attendances.
    Jilani T; Housley G; Figueredo G; Tang PS; Hatton J; Shaw D
    Int J Med Inform; 2019 Sep; 129():167-174. PubMed ID: 31445251
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Performance evaluation of Emergency Department patient arrivals forecasting models by including meteorological and calendar information: A comparative study.
    Sudarshan VK; Brabrand M; Range TM; Wiil UK
    Comput Biol Med; 2021 Aug; 135():104541. PubMed ID: 34166880
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Forecasting the Status of Municipal Waste in Smart Bins Using Deep Learning.
    Ahmed S; Mubarak S; Du JT; Wibowo S
    Int J Environ Res Public Health; 2022 Dec; 19(24):. PubMed ID: 36554676
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Self-attention (SA) temporal convolutional network (SATCN)-long short-term memory neural network (SATCN-LSTM): an advanced python code for predicting groundwater level.
    Ehteram M; Ghanbari-Adivi E
    Environ Sci Pollut Res Int; 2023 Aug; 30(40):92903-92921. PubMed ID: 37501025
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Deep CNN-LSTM Model for Particulate Matter (PM
    Huang CJ; Kuo PH
    Sensors (Basel); 2018 Jul; 18(7):. PubMed ID: 29996546
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Feasibility of machine learning methods for predicting hospital emergency room visits for respiratory diseases.
    Lu J; Bu P; Xia X; Lu N; Yao L; Jiang H
    Environ Sci Pollut Res Int; 2021 Jun; 28(23):29701-29709. PubMed ID: 33569683
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Forecasting deaths of road traffic injuries in China using an artificial neural network.
    Qian Y; Zhang X; Fei G; Sun Q; Li X; Stallones L; Xiang H
    Traffic Inj Prev; 2020; 21(6):407-412. PubMed ID: 32500738
    [No Abstract]   [Full Text] [Related]  

  • 20. Predicting machine's performance record using the stacked long short-term memory (LSTM) neural networks.
    Ma M; Liu C; Wei R; Liang B; Dai J
    J Appl Clin Med Phys; 2022 Mar; 23(3):e13558. PubMed ID: 35170838
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 53.