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 *

155 related articles for article (PubMed ID: 35744370)

  • 1. Investigating the Ultrasonic Pulse Velocity of Concrete Containing Waste Marble Dust and Its Estimation Using Artificial Intelligence.
    Yang D; Zhao J; Suhail SA; Ahmad W; Kamiński P; Dyczko A; Salmi A; Mohamed A
    Materials (Basel); 2022 Jun; 15(12):. PubMed ID: 35744370
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Exploring the Use of Waste Marble Powder in Concrete and Predicting Its Strength with Different Advanced Algorithms.
    Khan K; Ahmad W; Amin MN; Ahmad A; Nazar S; Alabdullah AA; Arab AMA
    Materials (Basel); 2022 Jun; 15(12):. PubMed ID: 35744167
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Use of Artificial Intelligence for Predicting Parameters of Sustainable Concrete and Raw Ingredient Effects and Interactions.
    Amin MN; Ahmad W; Khan K; Ahmad A; Nazar S; Alabdullah AA
    Materials (Basel); 2022 Jul; 15(15):. PubMed ID: 35955144
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Use of Artificial Intelligence Methods for Predicting the Strength of Recycled Aggregate Concrete and the Influence of Raw Ingredients.
    Pan X; Xiao Y; Suhail SA; Ahmad W; Murali G; Salmi A; Mohamed A
    Materials (Basel); 2022 Jun; 15(12):. PubMed ID: 35744254
    [TBL] [Abstract][Full Text] [Related]  

  • 5. New SHapley Additive ExPlanations (SHAP) Approach to Evaluate the Raw Materials Interactions of Steel-Fiber-Reinforced Concrete.
    Anjum M; Khan K; Ahmad W; Ahmad A; Amin MN; Nafees A
    Materials (Basel); 2022 Sep; 15(18):. PubMed ID: 36143573
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Effects of Elevated Temperature on the Residual Behavior of Concrete Containing Marble Dust and Foundry Sand.
    Tiwary AK; Singh S; Kumar R; Chohan JS; Sharma S; Singh J; Li C; Ilyas RA; Asyraf MRM; Malik MA
    Materials (Basel); 2022 May; 15(10):. PubMed ID: 35629658
    [TBL] [Abstract][Full Text] [Related]  

  • 7. In-Depth Analysis of Cement-Based Material Incorporating Metakaolin Using Individual and Ensemble Machine Learning Approaches.
    Bulbul AMR; Khan K; Nafees A; Amin MN; Ahmad W; Usman M; Nazar S; Arab AMA
    Materials (Basel); 2022 Nov; 15(21):. PubMed ID: 36363356
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Recycling of ceramic tiles waste and marble waste in sustainable production of concrete: a review.
    Mangi SA; Raza MS; Khahro SH; Qureshi AS; Kumar R
    Environ Sci Pollut Res Int; 2022 Mar; 29(13):18311-18332. PubMed ID: 35015234
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of Compressive Strength of Sustainable Foam Concrete Using Individual and Ensemble Machine Learning Approaches.
    Ullah HS; Khushnood RA; Farooq F; Ahmad J; Vatin NI; Ewais DYZ
    Materials (Basel); 2022 Apr; 15(9):. PubMed ID: 35591498
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Compressive Strength Estimation of Steel-Fiber-Reinforced Concrete and Raw Material Interactions Using Advanced Algorithms.
    Khan K; Ahmad W; Amin MN; Ahmad A; Nazar S; Alabdullah AA
    Polymers (Basel); 2022 Jul; 14(15):. PubMed ID: 35956580
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Forecasting the Mechanical Properties of Plastic Concrete Employing Experimental Data Using Machine Learning Algorithms: DT, MLPNN, SVM, and RF.
    Nafees A; Khan S; Javed MF; Alrowais R; Mohamed AM; Mohamed A; Vatin NI
    Polymers (Basel); 2022 Apr; 14(8):. PubMed ID: 35458331
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Rheological and Durability Properties of Self-Compacting Concrete Produced Using Marble Dust and Blast Furnace Slag.
    Karakurt C; Dumangöz M
    Materials (Basel); 2022 Feb; 15(5):. PubMed ID: 35269026
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using Machine Learning Algorithms to Estimate the Compressive Property of High Strength Fiber Reinforced Concrete.
    Dai L; Wu X; Zhou M; Ahmad W; Ali M; Sabri MMS; Salmi A; Ewais DYZ
    Materials (Basel); 2022 Jun; 15(13):. PubMed ID: 35806575
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Analyzing the Compressive Strength of Ceramic Waste-Based Concrete Using Experiment and Artificial Neural Network (ANN) Approach.
    Song H; Ahmad A; Ostrowski KA; Dudek M
    Materials (Basel); 2021 Aug; 14(16):. PubMed ID: 34443041
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Split Tensile Strength Prediction of Recycled Aggregate-Based Sustainable Concrete Using Artificial Intelligence Methods.
    Amin MN; Ahmad A; Khan K; Ahmad W; Nazar S; Faraz MI; Alabdullah AA
    Materials (Basel); 2022 Jun; 15(12):. PubMed ID: 35744356
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Application of Ensemble Machine Learning Methods to Estimate the Compressive Strength of Fiber-Reinforced Nano-Silica Modified Concrete.
    Anjum M; Khan K; Ahmad W; Ahmad A; Amin MN; Nafees A
    Polymers (Basel); 2022 Sep; 14(18):. PubMed ID: 36146051
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Data for bottom ash and marble powder utilization as an alternative binder for sustainable concrete construction.
    Atiyeh M; Aydin E
    Data Brief; 2020 Apr; 29():105160. PubMed ID: 32025545
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Compressive Strength of Steel Fiber-Reinforced Concrete Employing Supervised Machine Learning Techniques.
    Li Y; Zhang Q; Kamiński P; Deifalla AF; Sufian M; Dyczko A; Kahla NB; Atig M
    Materials (Basel); 2022 Jun; 15(12):. PubMed ID: 35744270
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of Autogenous Shrinkage of Concrete Incorporating Super Absorbent Polymer and Waste Materials through Individual and Ensemble Machine Learning Approaches.
    Qureshi HJ; Saleem MU; Javed MF; Al Fuhaid AF; Ahmad J; Amin MN; Khan K; Aslam F; Arifuzzaman M
    Materials (Basel); 2022 Oct; 15(21):. PubMed ID: 36363008
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Influence of sustainable waste granite, marble and nano-alumina additives on ordinary concretes: a physical, structural, and radiological study.
    Mahmoud AA; El-Sayed AA; Aboraya AM; Fathy IN; Abouelnour MA; Nabil IM
    Sci Rep; 2024 Sep; 14(1):22011. PubMed ID: 39317712
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.