Browsing Technology Innovation and Engineering Education Unit by Title
Now showing items 10-29 of 63
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Constructing an Intelligent Model Based on Support Vector Regression to Simulate the Solubility of Drugs in Polymeric Media
( MDPI , 2022 , Article)This study constructs a machine learning method to simultaneously analyze the thermodynamic behavior of many polymer-drug systems. The solubility temperature of Acetaminophen, Celecoxib, Chloramphenicol, D-Mannitol, ... -
Constructivist Multi-Access Lab Approach in Teaching FPGA Systems Design with LabVIEW
( International Society for Engineering Education (IGIP) in cooperation with Kassel University Press GmbH , 2013 , Article)Embedded systems play vital role in modern applications [1]. They can be found in autos, washing machines, electrical appliances and even in toys. FPGAs are the most recent computing technology that is used in ... -
Deep learning techniques for liver and liver tumor segmentation: A review
( Elsevier , 2022 , Article)Liver and liver tumor segmentation from 3D volumetric images has been an active research area in the medical image processing domain for the last few decades. The existence of other organs such as the heart, spleen, stomach, ... -
Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature
( MDPI , 2022 , Article)An intelligent insole system may monitor the individual's foot pressure and temperature in real-time from the comfort of their home, which can help capture foot problems in their earliest stages. Constant monitoring for ... -
Detection of seizure signals in newborns
( IEEE , 1999 , Conference)This paper considers a system design for processing a multidimensional biomedical signal formed by EEG, ECG, EOG and motion recorded from a newborn, for the purpose of detection of epileptic seizures in newborns as an ... -
Developing Engineering Learning Objects Online Portal with LabVIEW and an Open Source Web Content Management System
( ASEE , 2009 , Article)Learning objects (LOs) are independent chunks of knowledge normally used for instructional or learning purposes. LOs are normally reusable in the sense that they can be adopted and adapted for various learning and instructional ... -
Development of a stacked machine learning model to compute the capability of ZnO-based sensors for hydrogen detection
( Elsevier , 2024 , Article)Zinc oxide (ZnO) nanocomposite sensors decorated with various dopants are popular tools for detecting even low hydrogen (H2) concentrations. The nanocomposite's chemistry, temperature, and H2 concentration impact the success ... -
Differentiation among stability regimes of alumina-water nanofluids using smart classifiers
( Techno Press , 2022 , Article)Nanofluids have recently triggered a substantial scientific interest as cooling media. However, their stability is challenging for successful engagement in industrial applications. Different factors, including temperature, ... -
Digitally-tuned resolver converter
( Elsevier B.V. , 2009 , Article)Sinusoidal encoders provide electrical signals related to the sine and cosine of the mechanical shaft angle θ. An analog converter is described for the linearization of these signals and hence for linear computation of θ. ... -
A Discontinuous PWM Method for Balancing the Neutral Point Voltage in Three-Level Inverter-Fed Variable Frequency Drives
( IEEE , 2008 , Article)The paper describes a new discontinuous carrier-based pulsewidth modulation (PWM) method for use in variable frequency drives (VFD) driven by three-level inverters. The method introduces three different switching patterns ... -
Editorial: Time-Frequency Approach to Radar Detection, Imaging, and Classification
( Institution of Engineering and Technology , 2010 , Article)One of the central problems in exploiting the radar data is the analysis of atime series. The problem at hand is how to extract the information present in the data and use it to its full potential. Traditionally, radar ... -
Enabling Open Innovation in Digital Startups through the Incubation Program-A Case of Qatar
( MDPI , 2022 , Article)Researchers have studied open innovation by focusing primarily on big organizations. With digitization, the adoption of open innovation has become widespread, as there is broader access to cheaper and better information ... -
End-to-end outage probability of multihop transmission over lognormal shadowed channels
( King Fahd University of Petroleum & Minerals , 2003 , Article)End-to-end outage probability evaluation of multihop wireless communication systems over lognormal shadowed channels is presented. Closed-form expression for the end-to-end signal to noise ratio of systems equipped with ... -
Estimating the Dissolution of Anticancer Drugs in Supercritical Carbon Dioxide with a Stacked Machine Learning Model
( MDPI , 2022 , Article)Synthesizing micro-/nano-sized pharmaceutical compounds with an appropriate size distribution is a method often followed to enhance drug delivery and reduce side effects. Supercritical CO2 (carbon dioxide) is a well-known ... -
Estimating the number of components of a multicomponent nonstationary signal using the short-term time-frequency Rényi entropy
( Springer , 2011 , Article)The time-frequency Rényi entropy provides a measure of complexity of a nonstationary multicomponent signal in the time-frequency plane. When the complexity of a signal corresponds to the number of its components, then this ... -
Estimating the Relative Crystallinity of Biodegradable Polylactic Acid and Polyglycolide Polymer Composites by Machine Learning Methodologies
( MDPI , 2022 , Article)Biodegradable polymers have recently found significant applications in pharmaceutics processing and drug release/delivery. Composites based on poly (L-lactic acid) (PLLA) have been suggested to enhance the crystallization ... -
Examining engineering students' perceptions of learner agency enactment in problem- and project-based learning using Q methodology
( John Wiley and Sons Inc , 2022 , Article)Background: Few studies have reported how students enact learner agency in a team setting or examined what elements of team settings students perceive as more supportive of their learning in problem- and project-based ... -
Explainable deep learning model for automatic mulberry leaf disease classification
( Frontiers Media SA , 2023 , Article)Mulberry leaves feed Bombyx mori silkworms to generate silk thread. Diseases that affect mulberry leaves have reduced crop and silk yields in sericulture, which produces 90% of the world’s raw silk. Manual leaf disease ... -
Fast and memory-efficient algorithms for computing quadratic time–frequency distributions
( Elsevier Inc , 2013 , Article)Algorithms for computing time–frequency distributions (TFDs) limit computation time by reducing numerical operations. But these fast algorithms do not reduce the memory load. This article presents four TFD algorithms to ... -
Fuzzy system applications for identification of weak buses in power systems
( King Fahd University of Petroleum and Minerals , 2002 , Article)In this paper a simple new algorit hm for identifying the weak buses in a power system for voltage stability study is presented. The proposed algorithm is based on fuzzy set theory. Two membership functions, one for voltage ...
