Browsing Technology Innovation and Engineering Education Unit by Publication Date
Now showing items 41-60 of 63
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Robust estimation of highly-varying nonlinear instantaneous frequency of monocomponent signals using a lower-order complex-time distribution
( Elsevier B.V. , 2013 , Article)This paper proposes an approach for robust estimation of highly-varying nonlinear instantaneous frequency (IF) in monocomponent nonstationary signals. The proposed method is based on a lower order complex-time distribution ... -
Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques
( MDPI , 2021 , Article)Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease monitoring is both laborious and error-prone. ... -
Brain mr image enhancement for tumor segmentation using 3d u-net
( MDPI , 2021 , Article)MRI images are visually inspected by domain experts for the analysis and quantification of the tumorous tissues. Due to the large volumetric data, manual reporting on the images is subjective, cumbersome, and error prone. ... -
Perspectives on food waste management: Prevention and social innovations
( Elsevier , 2022 , Article Review)Food waste is one of the challenging issues humans are facing. A third of the food produced in the world is wasted at various points along the food supply chain. Food waste can be reduced by developing technology that can ... -
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 ... -
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, ... -
Novel and robust machine learning approach for estimating the fouling factor in heat exchangers
( Elsevier , 2022 , Article)The fouling factor (Rf) is an operating index for measuring an undesirable effect of solids’ deposition on the heat transfer ability of heat exchangers. Accurate prediction of the fouling factor helps appropriate scheduling ... -
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, ... -
PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms
( MDPI , 2022 , Article)Cardiovascular diseases are one of the most severe causes of mortality, annually taking a heavy toll on lives worldwide. Continuous monitoring of blood pressure seems to be the most viable option, but this demands an ... -
A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images
( MDPI , 2022 , Article)Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated to a high index of mortality. One of its major complications is diabetic foot, leading to plantar ulcers, amputation, and death. ... -
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 ... -
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals
( MDPI , 2022 , Article)Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous blood pressure (BP) monitoring along with many other parameters are required. Several ... -
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 ... -
Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal
( MDPI , 2022 , Article)Respiratory ailments are a very serious health issue and can be life-threatening, especially for patients with COVID. Respiration rate (RR) is a very important vital health indicator for patients. Any abnormality in 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 ... -
Robust and General Model to Forecast the Heat Transfer Coefficient for Flow Condensation in Multi Port Mini/Micro‐Channels
( Multidisciplinary Digital Publishing Institute (MDPI) , 2022 , Article)A general correlation for predicting the two‐phase heat transfer coefficient (HTC) during condensation inside multi‐port mini/micro‐channels was presented. The model was obtained by correlating the two‐phase multiplier, ... -
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, ... -
Application of Green Polymeric Nanocomposites for Enhanced Oil Recovery by Spontaneous Imbibition from Carbonate Reservoirs
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)This study experimentally investigates the effect of green polymeric nanoparticles on the interfacial tension (IFT) and wettability of carbonate reservoirs to effectively change the enhanced oil recovery (EOR) parameters. ... -
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Colorectal polyps in the colon or rectum are precancerous growths that can lead to a more severe disease called colorectal cancer. Accurate segmentation of polyps using medical imaging data is essential for effective ...