Main description:

Presented to your attention, this special edition contains articles that reflect the latest research achievements and engineering solutions in materials science, technologies of additive manufacturing, thermal engineering and medical signal and image processing. This edition will be helpful to researchers and engineers whose professional activity is related to materials science, machinery and biomedical engineering.

Contents:

Preface
Chapter 1: Materials Research
Piezoelectric Patches for Deflection Control of Functionally Graded Carbon Nanotube-Reinforced Composite Plates
Optimization of the Mechanical and Physical Properties of Lightweight Concrete Reinforced with Date Palm and Sisal Fibers
Elastic-Wave Characteristics from Crack Initiation and Propagation of High-Strength Steel Immersed in Acetic-Acid Solution
Investigation on Role and Impact of 3D Printing Technology in Sand Casting
Chapter 2: Thermal Engineering
Study of Modified Absorber Plate with Aluminium Foam of Solar Water Heating System
Experimental of the Influence of Blade Pitch Angle Cooler Fan on the Performance of Closed Cooling Water System Gas Turbine
Effect of Propylene Glycol on Supercooling NaCl-H2O Solution as PCM to Reduce Energy Consumption in Hybrid Reefer Container
Chapter 3: Biomedical Signal and Image Processing
An Innovation of Black Tea as a Substitute for the Use of Positive Contrast Media in CT Urography in Hydronephrosis Cases: Case Study
Kalman Filter for Artifact Reduction in MRI Imaging: A Literature Review
Image Quality Improvement of SENSE Parallel Imaging MRI Post-Acquisition Using Denoising Non-Local Mean Filter Technique
Determination Image Quality on Thorax COVID-19 and Tuberculosis Using Optical Density Image Analysis
Falling Estimation Based on PoseNet Using Camera with Difference Absolute Standard Deviation Value and Average Amplitude Change on Key-Joint
The Influence of X-Ray Tube Current-Time Variations Toward Signal to Noise Ratio (SNR) in Digital Radiography: A Phantom Study
Literature Review: Impact of Noise on Cognitive Performance Using Electroencephalography