Browsing Technology Innovation and Engineering Education Unit by Title
Now showing items 22-41 of 63
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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 ... -
Fuzzy time domain and Z-transform for modeling of harmonic electric loads
( IEEE , 2001 , Conference)This paper demonstrates the application of fuzzy systems and Z-transform for electric load modeling in the presence and/or absence of harmonics. The problem is formulated as one of linear optimization, where the objective ... -
Generalized dynamic spectrum access: An order statistics design perspective
( Elsevier GmbH , 2008 , Article)A new adaptive multiple access scheme based on the theory of order statistics is introduced. The proposed algorithm employs a semi-random allocation mechanism that limits subchannel selection to the highest-gain subchannels. ... -
Image quality metrics based multifocus image fusion
( IEEE , 2011 , Conference)We describe an innovative methodology for block based multifocus image fusion in the spatial domain. The main idea is to use blind or no reference blur metrics for image fusion applications. Two blur quality metrics ... -
Improved Discrete Definition of Quadratic Time-Frequency Distributions
( IEEE , 2010 , Article)Computation of a time-frequency distribution (TFD) requires a discrete version of the continuous distribution. This discrete TFD (DTFD) should be free from aliasing and conserve all the important mathematical properties ... -
An improved method for nonstationary signals components extraction based on the ICI rule
( IEEE , 2011 , Conference)This paper proposes an improved adaptive algorithm for components localization and extraction from a noisy multicomponent signal time-frequency distribution (TFD). The algorithm, based on the intersection of confidence ... -
Instantaneous Frequency Estimation of Multi-component Non-Stationary Signals using Multi-view Time-Frequency Distributions Based on the Adaptive Fractional Spectrogram
( IEEE , 2013 , Article)This letter presents a novel algorithm to compute the instantaneous frequency (IF) of a multicomponent nonstationary signal using a combination of fractional spectrograms (FS). A high resolution time frequency distribution ... -
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 ... -
Iterative learning control for variable frequency drives
( IEEE , 2008 , Conference)Variable Frequency Drives (VFD) are subject to various types of disturbances especially cyclical ones. These periodic disturbances are difficult to compensate by conventional controllers. Repetitive control can only ... -
Kalman filter-based time-varying cortical connectivity analysis of newborn EEG
( IEEE , 2011 , Conference)Multivariate Granger causality in the timefrequency domain as a representation of time-varying cortical connectivity in the brain has been investigated for the adult case. This is, however, not the case in newborns as ... -
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 ... -
Long-term electric peak load forecasting for power system planning: A comparative study
( King Fahd University of Petroleum and Minerals , 2004 , Article)A comparative study between two static estimation algorithms, namely least error squares (LES) and least absolute value (LAV) algorithm was presented. The proposed algorithm used the past history data for the load and the ... -
Modeling of permeability impairment dynamics in porous media: A machine learning approach
( Elsevier , 2023 , Article)The prediction of clogging and permeability impairment dynamics in porous media is crucial for the optimization of various industrial and natural processes. This paper presents a novel machine learning-based approach for ...
