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Now showing items 1441-1450 of 1534
Cargo Delivery Box System for modeling the Last mile of Business to Consumer Logistics
(2019-02)
The current business trends suggest that the e-commerce business in the UAE is increasing rapidly, which means that the supply chain facilities must be improved to sustain efficiency and profitability. The last mile is ...
Effect of Flexural CFRP Sheets and Plates on Shear Resistance of Reinforced Concrete Beams
(2014-05)
Ageing of reinforced concrete (RC) structures has captured the attention of a number of researchers to find different materials and techniques to strengthen and retrofit deteriorated structures. Carbon Fiber Reinforced ...
Comparison of Whole-class Discussion and Task-based Activity: A Small-Scale Study
(2020-05)
This study examined the participation patterns and effectiveness of two different sets of materials applied with two different treatments: Treatment 1 consisted of a Task-based activity; Treatment 2 used a whole-class ...
Discourse Effects on the Acquisition of the English Causative Forms: Structured Input vs. Structured Output Practice.
(2020-05)
This research presents the results of a quasi-experimental empirical study investigating the effects of structured input activities and structured output tasks on the acquisition of English causative forms. The study is ...
Additive Cyclic Codes Over Rings
(2015-02)
This Master's thesis introduces a reader with an average knowledge of mathematics to coding theory. A background in algebra is included with the required details needed in coding theory. The thesis guides the reader from ...
In-Vitro Degradation of Hollow Silica Reinforced Magnesium Syntactic Foams in Different Simulated Body Fluids for Biomedical Applications
(MDPI, 2020)
This article reports the mechanical and biocorrosion behaviour of hollow silica nanosphere (SiO₂) reinforced (0.5–2 vol.%) magnesium (Mg) syntactic foams. Room temperature tensile properties’ characterization suggests that ...
Critical resolved shear stress for slip and twin nucleation in single crystalline FeNiCoCrMn high entropy alloy
(Elsevier, 2017)
High entropy alloys is an emerging class of materials with superior mechanical properties down to cryogenic temperatures. At 77K, and unlike traditional metallic alloys, an increase in strength, strain hardening rate, and ...
Behavioral Modeling of GaN Doherty Power Amplifiers Using Memoryless Polar Domain Functions and Deep Neural Networks
(IEEE, 2020)
In this paper, novel Doherty Power Amplifier (DPA) models are presented. The motivation behind the proposed models is to accurately predict static nonlinearities in the compression regions of the carrier and peaking ...
Using Linear Regression and Back Propagation Neural Networks to Predict Performance of Soiled PV Modules
(Elsevier, 2019)
This paper presents a study on neural network-based modeling techniques and sensor data to estimate the power output of photovoltaic systems under soiling conditions. Predicting maximum power output under soiling conditions ...
A Comprehensive Method of Ion Exchange Resins Regeneration and Its Optimization for Water Treatment
(IntechOpen, 2020-08)
Ion exchange membranes, specifically resin technology, lie at the heart of electrolytically conductive systems used in the treatment of wastewater. This chapter deals with ion exchange deionization and the effect of resin ...