A5054930620- Metaheuristic Optimization Algorithms Research
- Evolution and Genetic Dynamics
- Cultural Differences and Values
- Mathematical and Theoretical Epidemiology and Ecology Models
- Numerical methods for differential equations
- Media Influence and Politics
- Game Theory and Applications
- Law, Economics, and Judicial Systems
- COVID-19 epidemiological studies
- Smoking Behavior and Cessation
- VLSI and Analog Circuit Testing
- Evolutionary Game Theory and Cooperation
- Differential Equations and Numerical Methods
- Social Media and Politics
- Neural Networks and Applications
- Advanced Multi-Objective Optimization Algorithms
- Evolutionary Algorithms and Applications
- Industrial Vision Systems and Defect Detection
- Analog and Mixed-Signal Circuit Design
- Advancements in Semiconductor Devices and Circuit Design
- Photovoltaic System Optimization Techniques
- Global Health Care Issues
- VLSI and FPGA Design Techniques
- Air Quality and Health Impacts
- Currency Recognition and Detection
Mustansiriyah University
2017-2024
Assaf Harofeh Medical Center
2023
Yahoo (United Kingdom)
2023
Nordic Pharma (France)
2023
National Health Service
2023
Radboud University Medical Center
2023
Radboud University Nijmegen
2023
Wright State University
2022
Simon Fraser University
2020
University of Guelph
2017-2019
In this paper, we present an intensive investigation of the finite volume method (FVM) compared to difference methods (FDMs). order show main in way approaching solution, take Burgers equation and Buckley–Leverett as examples simulate previously mentioned methods. On one hand, results using schemes Lax–Friedrichs Lax–Wendroff. other apply Godunov’s scheme method. Moreover, how starting with a variational formulation problem, element technique provides piecewise formulations functions defined...
Scene understanding is essential for enhancing driver safety, generating human-centric explanations Automated Vehicle (AV) decisions, and leveraging Artificial Intelligence (AI) retrospective driving video analysis. This study developed a dynamic scene retrieval system using Contrastive Language-Image Pretraining (CLIP) models, which can be optimized real-time deployment on edge devices. The proposed outperforms state-of-the-art in-context learning methods, including the zero-shot...
For a research problem: as single-diode model (electrical circuit) is difficult to discover the precise answer employing analytical approaches, develop and compute electrical parameters of PV cell roughly using numerical algorithms. Therefore, goal this work create an algorithm that aids in approximate solution solar cells. Three methods have been proposed for these calculations, each which has quicker calculation time higher level accuracy.
 By streamlining process, method solves...
Intraoperative adverse events (iAEs) are associated with postoperative outcomes and cause a significant healthcare burden. However, critical appraisal of iAEs is lacking. Considering the details could benefit care. We comprehensively analyzed in large series including all types operations their relation to complications.All patients enrolled multicenter ClassIntra® validation study (NCT03009929) were included this analysis. The surgical anesthesia team prospectively recorded iAEs. Two...
Object detection is a critical component of transportation systems, particularly for applications such as autonomous driving, traffic monitoring, and infrastructure maintenance. Traditional object methods often struggle with limited data variability in appearance. The Oriented Window Learning Vision Transformer (OWL-ViT) offers novel approach by adapting window orientations to the geometry existence objects, making it highly suitable detecting diverse roadway assets. This study leverages...
Abstract Background Seasonal influenza poses a significant public health and economic burden, associated with the outcome of infection resulting complications. The true burden disease is difficult to capture due wide range presentation, from asymptomatic cases non-respiratory complications such as cardiovascular events, its seasonal variability. An understanding magnitude annual incidence important support prevention control policy development evaluate impact preventative measures...
We propose in this paper a prophylactic treatment strategy for predator-prey system. The objective is to fight against the propagation of an infectious disease within two populations, one which preys on other. This modeled by means SIS (susceptible-infectious-susceptible) epidemic model with vital dynamics and infection both species through contact predation, including mortality rates populations due directly disease. Treatment strategies are represented new parameters modeling uptake...
In this paper, we study an asymmetric game that characterizes the intentions of players to adopt a vaccine. The describes decision-making process two differentiated by income level and perceived treatment cost, who consider vaccination against infectious disease. is noncooperative since their decision has direct impact on vaccine coverage in population. We introduce replicator dynamics (RD) investigate players’ optimal strategy selections over time. reveal long-term stability unique...
Image segmentation is an effective computer vision method that expands on the concept of object. Recognition and brings in a whole new era image data manipulation. This offers up so many options may be performed several ways. However, this paper, threshold channel separation were employed to perform two types segmentation. Thresholding regional itself. thresholding alone insufficient properly segment image, necessitating employment additional processing techniques, such as morphological...
This paper examines the effect of introduction broadband Internet on voting and campaign donations in 2000s. To identify broadband, I use an instrumental variable strategy based geographic terrain attributes which affected cost building cable infrastructure. find that has led to a large increase voter turnout presidential elections, as well total amount donated political campaigns. Consistent with hypothesis Democrats have stronger online presence, also Democratic vote share elections....
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In this paper, we study the well-known Axelrod's social norm game using replicator dynamics and control theory. general, a has 4 pure strategies: following defecting, each of which branching further into punishing or not others for defection, if observed. Our aim is to check whether by introducing parameter that mimics incentives players who follow norm, observe changes in strategy game, maximize norm-following strategies. We solve problem numerically find capacity individuals others'...
<span>Accurate representation of a photovoltaic solar cell requires comprehensive assessment modeling factors that are unique to the individual device being studied. In context single diode model, it is necessary ascertain five distinct parameters, namely Rs, Rsh, Iph, Io, and n. general, analytical or numerical methods may be used calculate these values. this paper, two alternative iterative approaches solving nonlinear problems in cells without temperature described analyzed. The new...
This paper presents a numerical approach to solve the 2-dimensional reaction-diffusion problem, crucial model in physics and chemistry, with applications ranging from pattern formation material science. Focusing on addressing stationary linear elliptic problem within rectangular domain, boundary conditions are determined through finite-difference formulation. The Conjugate-Gradient Method is employed for solution, facilitating efficient computation. Key findings elucidated: Firstly, grid...
Numerical solutions to integer-order differential equations frequently employ decomposition as one of many methods. This paper provides a generalization into fractional order, which is more general, well generalizing the decomposing method case and then applying it solve order in both space time. A calculus's theorems properties generalize have been utilized. different time partial equations, demonstrating its ability applicability various problems applied. The cases highlight strengths has...
A one-stage Folded Cascode Operational Amplifier with the self-biasing scheme for PMOS differential input stage is designed by using LTspice simulator and designing procedure described. This folded op amp will have a high Common-mode range (ICMR) maximum voltage output thereby gain. The simulation results correlate very well hand calculations obtained theoretical values. All MOSFETs are kept in saturation to ensure open loop Then, two-stage circuit has been assuming Zero (z)= 10 GB, phase...
Fault models are designed to forecast the expected behaviors (reaction) from IC when faults present, and this is what allows automated test pattern generation (ATPG) software generate patterns. In order identify these at every node in circuit, ATPG tool first consults fault establish patterns that will be necessary for doing so. article, ten logic gates developed using Quartos program a output waveform was simulated determine outcomes of fault-free variety This compared injection occurs. It...
As the complexity of logic devices increased, it required more time and effort to manually design verify tests, was difficult estimate test coverage, tests ran too slowly. This method is known as functional testing. Therefore, industry adopted a for (DFT) strategy in which updated make testing simpler. In this work, full scan testability going be implemented sequential circuit (CUT). The CUT consists at 6 D flip-flops 10 gates. designed using quartus prime software. following steps are work:...
Background: The risk of reoperations after abdominal and pelvic surgery is multifactorial difficult to predict. reoperation frequently underestimated by surgeons as most are not related the initial procedure diagnosis. During reoperation, adhesiolysis often required, patients have an increased complications. Therefore, aim this study was provide evidence-based prediction model based on reoperation. Materials methods: A nationwide cohort conducted including all undergoing or operation between...
This project describes in detail the process of designing and simulating at first a one stage folded cascode operational amplifier using 0.25 um CMOS Technology with self-biasing scheme for NMOS differential input is discussed here. The design required circuits done LTspice simulator. We will see that simulation results approximately matches desired theoretically calculated performance values. are changing width values to bring all transistors circuit saturation. Then two Stage Folded...
In the present research, titanium dioxide nanoparticles were fabricated using solid-state technique, then all of aluminum materials added in three ratios that are (0, 1, 2, and 3 (wt. %). The dry press method was used through a hydraulic from one direction, mold diameter (10 mm) to obtain ceramic compressed dimension firing at temperature 900 °C. thermal conductivity is studied for samples include pure with proportions compared between them when adding aluminum. ratio (2% wt.) highest among...