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1916 articles for “Modeler” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Design of Modelling Tool for Electronic Clinical Pathway based on Workflow and Standardised Terminologies
Abstract: It is very important to transform paper-based clinical pathways (CPs) into computer-readable format in order to integrate CPs into hospital information system (HIS). Modelling approaches of CPs include workflow management techniques, ontology and Petri net. Workflow-based modelling has a potential for representing sequenced medical activities in CPs, however previous approaches showed inadequate representation of medical content of CPs. Petri net and ontology-based modelling approaches have been widely used in modelling …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 3, 2024 · pp. 52–63 Read article
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Solving Non-Linear Equations for Thevenin and Norton Circuits using Analog Behavioural Modelling with PSPICE Software
Abstract: A new approach useful for circuit designers for implementing circuit parameters described by non-linear equations and Thevenin and Norton network equivalent parameters represented by equations is given. The content is divided into two parts, (a)Solving Non-linear equations using analog behavioral modelling using Pspice software (b) Thevenin and Norton equivalent circuit parameter determination for pure resistance DC circuits using SPICE simulator. The non-linear equations are solved using network elements/models described by …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 · pp. 28–36 Read article
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Generating Surface Model through R using Excel Data
Abstract: Generating surface model through R using excel data indicates to create different surface models according to the requirement of the user. In this platform a simple matrix is sufficient to incorporate various surface models. This concept is an interdisciplinary activity in between mathematics and computer science.Cite this ArticleNagalakshmi PSS. Generating Surface Model through R using Excel Data. Journal of Artificial Intelligence Research & Advances. 2016; 3(1): 26–29p.
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 1, 2016 · pp. 26–29 Read article
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Development of Simulation Model for Service Industry: A Case Study
Abstract: A simulation model for a hospital system was developed by authors to study the activities in a large hospital located in Tamil Nadu state. Patients wait for certain services during their stay in hospital due to many reasons. Two important services have been identified viz. authorization of admission at Private Patient Service Facility (PPSF) and allotment of bed at the wards. The data with respect to arrival time and the …
Published in E-Commerce for Future & Trends · Vol. 3, Issue 2, 2016 · pp. 1–8 Read article
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Selection of Tower Cranes through ANN (Artificial Neural Network) Model
Abstract: In India, the construction sector has been increased due to large spending on the infrastructures in last few years. By such growth in infrastructure, rising trend of precast technology for real estate construction and high rise construction, there is a drive growth of the Indian tower crane industry. With the increasing demand of tower cranes, the selection of the suitable tower crane for a particular site also becomes important; as …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 67–79 Read article
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Exam Eval: An Automated Model for Correcting Exam Papers Using OCR and Text Summarization
Abstract: In the realm of education, grading and correcting exam papers can be a time-consuming and often daunting task for teachers. To streamline this process and provide more efficient feedback to students, this project aims to develop a model that leverages advanced techniques in natural language processing (NLP) and computer vision. The primary objective is to correct exam papers by summarizing the handwritten answers provided by students, incorporating Optical Character Recognition …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 3, 2023 · pp. 23–28 Read article
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Retina Recognition System using PCA-based Discrete Hidden Markov Model
Abstract: In this paper, a unique approach of retina recognition system has been proposed. Principal component analysis based dimensionality reduction technique has been used here and discrete hidden Markov model (DHMM) has been applied to classify the retinal images. The retinal images are taken from DRIVE retina database. Then some image pre-processing techniques such as image scaling, median filtering-based noise reduction and edge-detection techniques have been used to ready the retinal …
Published in Journal Of Network security · Vol. 3, Issue 1, 2015 · pp. 28–32 Read article
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Comparison of Performance of Haar Wavelet Transform on 3D-2D Multi-Sensor Face Images Using Simulation Model
Abstract: Human face has its own unique characteristics that are always considered to be the valid biometric feature for automation of security systems. A dedicated system doesn’t only require accurate algorithm but also it is required to be executed with a minimum span of time. In this literature, authors have stated and demonstrated a wavelet based feature space design mechanism from human faces and also analyzed the performance of execution for …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 3, Issue 1, 2015 · pp. 11–27 Read article
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Thermal Modelling and Simulation of Brushless D.C. Motor for Electromechanical Actuation
Abstract: A lumped-parameter thermal model is described which provides both a steady-state and transient solution to the temperatures within an electrical machine. The model is sufficiently complex to identify the temperatures at most locations in the machine, including the peak temperatures in the end winding and the surface temperatures of the rotor. It is formulated out of purely dimensional information and constant thermal coefficients and is therefore easily adapted to a …
Published in Journal of Aerospace Engineering & Technology · Vol. 3, Issue 1, 2013 · pp. 16–28 Read article
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Black-Scholes and Binomial Option Pricing Model: A Comparative Analysis
Abstract: It is a well-known fact in the trading world that a portfolio is always exposed to price risk, which can occur anytime during the trading period, but the overall risk can be mitigated up to a certain level if a trader adopts relevant risk mitigation strategy before taking his/her position in the market. An option is one of the major derivative tools for hedging as well as risk management. There …
Published in Research & Reviews : Journal of Statistics · Vol. 6, Issue 3, 2017 · pp. 1–9 Read article
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Heteroscedasticity in Survey Data and Model Selection based on Weighted Schwarz-Bayesian Information Criterion
Abstract: AbstractThis paper proposed Weighted Schwarz Bayesian Information criterion for the purpose of selecting a best model from various competing models, when heteroscedasticity is present in the survey data. The authors found that the information loss between the true model and fitted models are equally weighted, instead of giving unequal weights. The computation of weights purely depends on the differential entropy of each sample observation and traditional Schwarz Bayesian information criterion …
Published in Research & Reviews : Journal of Statistics · Vol. 2, Issue 3, 2013 · pp. 8–23 Read article
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Embedding High Reliability in Computer Aided Drug Designing by Fault Forecasting Software Fault Tolerance Model
Abstract: Reliability and fault free environment is always a key important factor in any computer aided system. The one key factor is software fault. Faults can be reside and arise anywhere anytime though it is very well tested. In life critical systems/applications, fault must be tolerated at any cost.. Drug discovery and development are very time and resources consuming processes. It is very challenging era for today’s market. Computational techniques to …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 4, Issue 2, 2017 · pp. 24–29 Read article
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Model to Predict a Ratio Control of Hydrocarbon Acid and Water in a Packed Bed Reactor
Abstract: Model development was carried out to examine the ratio of hydrochloric acid gas and water in a packed bed reactor. The research predicted increase in output with increase in time, revealing the effectiveness ratio control of hydrochloric acid separation from water using absorption column mechanism. The density of the products played an active role in the separation process as well as in control action function. The developed model can be …
Published in Emerging Trends in Chemical Engineering · Vol. 10, Issue 4, 2023 · pp. 45–52 Read article
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Modal Analysis of RC Masonry Infill Model and Prototype Frames with Openings
Abstract: Modal evaluation is the technique of figuring out the inherent dynamic traits of the shape in phrases of herbal frequencies and mode shapes and the usage of them to create a mathematical version for its dynamic behavior. The dynamics of a structure is defined by frequency and position. Modal evaluation offers the records regarding to exceptional modes of vibration, exceptional form that may be taken up via way of means …
Published in Journal of Structural Engineering and Management · Vol. 10, Issue 4, 2023 · pp. 13–21 Read article
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Surveillance Car using ESP32 Cam Module by using GAN Model
Abstract: This paper shows the Surveillance Car system which leverages the ESP32 Cam module and incorporates advanced image processing through a Generative Adversarial Network (GAN) model to redefine the landscape of mobile surveillance systems. The ESP32 Cam serves as the core hardware platform, offering compact design and wireless capabilities for real-time image capture and remote monitoring. The system’s innovation lies in the integration of a GAN model for image processing, enhancing …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 2, 2024 · pp. 28–37 Read article
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Revolutionizing Plant Disease Detection: A Comprehensive Review
Abstract: Rise in population demands more food production but the diseases in plants contribute to loss. The advancement in agricultural field has a remarkable effect in detecting plant diseases. These diseases will have a major impact on the quality of plant and yield and hence can destroy the entire plant if they are not controlled on time. To reduce disease-related losses, it is necessary to identify different types of diseases and …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 2, 2023 · pp. 44–55 Read article
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Federated Learning: A Comprehensive Review of Models, Algorithms, and Business Applications
Abstract: In an age where data privacy is a significant concern, federated learning (FL) has become a game-changing method in machine learning. This decentralized model enables various parties to work together on training models without exchanging their raw data, effectively tackling the issues posed by data silos and privacy regulations. This article explores the current state of FL, including its underlying models and algorithms, practical applications, benefits, challenges, and future directions. …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 1–9 Read article
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Advanced Computational Models for Predicting Molecular Interactions
Abstract: Understanding molecular interactions is essential for a number of disciplines, including biochemistry, materials science, and medication development. Traditional experimental methods, while accurate, are often time-consuming and expensive. Advanced computational models have emerged as powerful tools to predict molecular interactions efficiently. In order to predict the behavior and interactions of molecules at the atomic and subatomic levels, this paper reviews the most recent developments in computational techniques, such as machine learning …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 8–13 Read article
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Exploring the Development of AI Models Using Open-Source Tools to Predict Patient Outcomes and Optimize Treatment Plans
Abstract: Integrating artificial intelligence (AI) into healthcare offers a transformative opportunity to enhance patient care and clinical decision-making. Through the use of predictive analytics, AI can significantly enhance the accuracy of outcome predictions and assist in developing personalized treatment plans that cater to each patient’s specific needs. This paper delves into the development of AI models using open-source tools, which are increasingly favored for their accessibility, collaborative nature, and capacity for …
Published in Journal of Open Source Developments · Vol. 11, Issue 3, 2024 · pp. 37–49 Read article
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Thevenin Impedance Networks for Spice Simulation Using Analog Behavioural Modelling
Abstract: PSPICE/OrCAD software analog behavioral modeling (FREQ) option is used to obtain equivalent circuits for Thevenin equivalent resistance to be used for three types of applications for different circuits (other different networks with these Thevenin models at DC), and Spice files are described to simulation circuits with AC analyses. Three different applications are useful in linear integrated circuits using DC Thevenin resistance of two networks are considered. Firstly, the DC Thevenin …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 3, 2024 · pp. 39–46 Read article