Detalles de la búsqueda
1.
An Entropy-Based Approach to Measurement of Stock Market Depth.
Entropy (Basel)
; 23(5)2021 May 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-34063670
2.
Beam Search Algorithm for Anti-Collision Trajectory Planning for Many-to-Many Encounter Situations with Autonomous Surface Vehicles.
Sensors (Basel)
; 20(15)2020 Jul 24.
Artículo
en Inglés
| MEDLINE | ID: mdl-32722065
3.
Beam Search Algorithm for Ship Anti-Collision Trajectory Planning.
Sensors (Basel)
; 19(24)2019 Dec 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-31817086
4.
The Influence of Urtica dioica and Vitis vinifera Fibers on the Thermal Properties and Flammability of Polylactide Composites.
Materials (Basel)
; 17(6)2024 Mar 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-38541410
5.
Research on the Development of a Way to Modify Asphalt Mixtures with PET Recyclates.
Materials (Basel)
; 16(18)2023 Sep 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-37763539
6.
Successful outcome of transplant of kidneys recovered from a brain-dead liver transplant recipient: case report.
Prog Transplant
; 22(4): 423-6, 2012 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-23187061
7.
Consideration of Critical Parameters for Improving the Efficiency of Concrete Structures Reinforced with FRP.
Materials (Basel)
; 15(8)2022 Apr 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-35454467
8.
Preparation and Characterization of Novel Microgels Containing Nano-SiO2 and Copolymeric Hydrogel Based on Poly (Acrylamide) and Poly (Acrylic Acid): Morphological, Structural and Swelling Studies.
Materials (Basel)
; 15(14)2022 Jul 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-35888249
9.
Novel Synthesis, Characterization and Amoxicillin Release Study of pH-Sensitive Nanosilica/Poly(acrylic acid) Macroporous Hydrogel with High Swelling.
Materials (Basel)
; 15(2)2022 Jan 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-35057190
10.
Development of Prediction Model to Predict the Compressive Strength of Eco-Friendly Concrete Using Multivariate Polynomial Regression Combined with Stepwise Method.
Materials (Basel)
; 15(1)2022 Jan 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-35009463
11.
Electrospinning of Poly (Acrylamide), Poly (Acrylic Acid) and Poly (Vinyl Alcohol) Nanofibers: Characterization and Optimization Study on the Effect of Different Parameters on Mean Diameter Using Taguchi Design of Experiment Method.
Materials (Basel)
; 15(17)2022 Aug 25.
Artículo
en Inglés
| MEDLINE | ID: mdl-36079256
12.
Effects of Small Deviations in Fiber Orientation on Compressive Characteristics of Plain Concrete Cylinders Confined with FRP Laminates.
Materials (Basel)
; 16(1)2022 Dec 27.
Artículo
en Inglés
| MEDLINE | ID: mdl-36614600
13.
Assessment of Soft Computing Techniques for the Prediction of Compressive Strength of Bacterial Concrete.
Materials (Basel)
; 15(2)2022 Jan 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-35057207
14.
Predicting the Mechanical Properties of RCA-Based Concrete Using Supervised Machine Learning Algorithms.
Materials (Basel)
; 15(2)2022 Jan 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-35057364
15.
The Influence of CFRP Sheets on the Load-Bearing Capacity of the Glued Laminated Timber Beams under Bending Test.
Materials (Basel)
; 14(14)2021 Jul 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-34300938
16.
Analyzing the Compressive Strength of Ceramic Waste-Based Concrete Using Experiment and Artificial Neural Network (ANN) Approach.
Materials (Basel)
; 14(16)2021 Aug 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-34443041
17.
Prediction of Geopolymer Concrete Compressive Strength Using Novel Machine Learning Algorithms.
Polymers (Basel)
; 13(19)2021 Oct 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-34641204
18.
Application of Advanced Machine Learning Approaches to Predict the Compressive Strength of Concrete Containing Supplementary Cementitious Materials.
Materials (Basel)
; 14(19)2021 Oct 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-34640160
19.
Effect of Carbon Black and Hybrid Steel-Polypropylene Fiber on the Mechanical and Self-Sensing Characteristics of Concrete Considering Different Coarse Aggregates' Sizes.
Materials (Basel)
; 14(23)2021 Dec 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-34885610
20.
Comparative Study of Supervised Machine Learning Algorithms for Predicting the Compressive Strength of Concrete at High Temperature.
Materials (Basel)
; 14(15)2021 Jul 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-34361416