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1917 articles for “V-model” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Performance Analysis of Speech Performance Analysis of Speech Recognition using Advanced Algorithm
Abstract: In this paper, the authors have worked on a speech processing technique wherein they took audio speech as input signal from user and by recognition process, they perceived recorded word. Specifically, the authors concentrated on the amplitude and zero cross of speech signal, and two of the most important and useful terms, namely MFCC and Mahalanobis distance, for the purpose of getting an efficient outcome. The authors evaluated the proposed …
Published in Current Trends in Signal Processing · Vol. 3, Issue 1, 2013 · pp. 20–25 Read article
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Microstructural, Mechanical and Strengthening Mechanisms of Al7075 Metal Matrix Composite with Al2O3 Nano Particle Processed Through Ultrasonic Cavitation Assisted Stir-casting
Abstract: In this investigation, we produced Al7075 matrix composites using a stir casting method enhanced by ultra-sonic cavitation, reinforcing them with nano-Al2O3 particles. The SEM microstructural analysis confirmed the presence of nano-Al2O3 particles in all the composites, showcasing their consistent particle size and reasonably even distribution within the matrix. Optical microscopic examinations revealed that the presence of nano-Al2O3 particles, along with the aggressive ultrasonic cavitation effect, resulted in grain refinement in …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 31–43 Read article
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Virtual Design Studio-based Teaching and Learning in B.Arch. Program
Abstract: In Architecture education a new dimension is added in context to technology. If the person is equipped with technology learning will be infinite and multidisciplinary its future scope is also clarified by this means. Many parameters are crossed in learning through technology like countries, proximity to individuals; environment and other hostile conditions are avoided through technology. All the possible outcomes are available through technology like with the use of software’s, …
Published in Recent Trends in Civil Engineering & Technology · Vol. 12, Issue 3, 2022 · pp. 20–30 Read article
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Fast Fuzzy Network Model
Abstract: Fuzzy is applied to design a network model for performing efficiently in this paper. The probability theory is applied to analyze the existed network model and the advantages transformed into the proposed fast fuzzy network model. Various analysis techniques and formulations are presented in this paper. The resultant is the fast fuzzy network with minimized error and maximized the security over the standard computational complexity.
Published in Recent Trends in Electronics Communication Systems · Vol. 6, Issue 2, 2019 · pp. 33–38 Read article
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Study of Global Solar Radiation Estimation based on Artificial Neural Networks Techniques
Abstract: AbstractSolar Radiation data received by earth in the form of x-rays, UV-rays, infrared rays is a prominent and useful data as it gives the information about the amount of energy received from sun at the earth. Artificial Neural Network (ANN) is brain inspired technology which learns and performs in a way similar to the way our human brain performs. Sun’s energy is of utmost importance and is freely available in …
Published in Recent Trends in Electronics Communication Systems · Vol. 7, Issue 1, 2020 · pp. 26–31 Read article
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Safety System Analysis of Nuclear Power Plant in Bangladesh
Abstract: In this paper, the safety system and safeguards of the model VVER-1000, which is a Gen-III pressurized water reactor, designed by ROASTAM and chosen to be implemented in Bangladesh, will be analyzed. Several predefined major faults have been set to demonstrate the performance in preventing the release of harmful radiation. From simulation results, it has been observed that for moderator dilution, the malfunction is neutralized within 115 sec, for turbine …
Published in Trends in Electrical Engineering · Vol. 6, Issue 3, 2016 · pp. 11–25 Read article
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Study and Prediction of Radiation Effects in Solar Power Plants using Neuro Fuzzy and Neural Network
Abstract: Neural and neuro-fuzzy frameworks are utilized, to figure temperature and sun powered radiation. The principle benefit of these frameworks is that they don't need any earlier information on the qualities of the information time-series to foresee their future qualities. These frameworks with various models have been prepared utilizing as information estimations of the above meteorological boundaries acquired from the National Observatory of Athens. In the wake of having reproduced a …
Published in Trends in Electrical Engineering · Vol. 12, Issue 1, 2022 · pp. 8–19 Read article
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A Survey on Deep Learning based Detection of Abnormal Human Behaviour using Computer Vision Human Activity Recognition System
Abstract: Abnormal Human activity recognition (Abnormal HAR) systems are very popular among researchers nowadays, they attempt to identify and analyze human activities using acquired information from sensors. Several papers have already been published in the abnormal HAR topics, the technologies in this field have multidisciplinary nature. They need constant updates. Our literature survey divided the approaches into three categories, the first one is about wearable sensor-based approach, the second one is …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 3, 2021 · pp. 32–41 Read article
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Effect of Piper longum on Urinary Metabolites and Its Correlation with Nootropic Activity in Rat Models
Abstract: Piper longum is one of the Indian traditional plants having lots of therapeutic uses. The present study is aimed to evaluate the antistress activity of aqueous extract of Piper longum in stress models. VMA, 5HIAA, and ascorbic acid were selected as noninvasive biomarkers of urinary metabolites. Continuous administration of different doses of Piper longum (100, 300 mg/kg) and Bacopa moniera (100 mg/kg) to the stressed groups was done prior to …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 1, Issue 1, 2012 · pp. 10–27 Read article
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Struts based Approach for the Development of Java Applications
Abstract: This paper presents a procedural approach to develop a java based application using the Struts Framework. The struts framework is used to develop MVC based web application. The model view controller (MVC) is a fundamental design pattern for the separation between user interface logic and business logic. A strut is an elegant, extensible framework for creating enterprise Java applications. The framework is designed to streamline the full development cycle, from …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 3, 2014 · pp. 23–30 Read article
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Investigation of Emergency Management Using DEMATEL Method
Abstract: There is evidence for managing and handling responsibilities related to preparedness, response, and dealing with all aspects of emergencies and rehabilitation. "Provide emergency services and public assistance during or after a disaster to save lives, reduce health risks, ensure public safety and meet the basic needs of the affected population". The evidence for managing and managing responsibilities, especially preparedness, response and dealing with all aspects of emergencies and the evaluation …
Published in E-Commerce for Future & Trends · Vol. 9, Issue 3, 2022 · pp. 10–17 Read article
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PHP Framework with Real-Time Supervision
Abstract: The growing number of web applications makes them an attractive target for attacks due to the large amount of private user data accessed, processed and stored by these applications. There are alot of development tools are available for web applications called web application frameworks. The existing framework are created for reducing programmers effort, most of them does not provide any support to supervise the development process in real-time on security …
Published in Recent Trends in Programming languages · Vol. 5, Issue 3, 2018 · pp. 11–14 Read article
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Query Optimization Techniques
Abstract: As the database executive's field has expanded to include settings where questions are increasingly unpredictable, insights are less accessible, or information is put away remotely; there has been an affirmation that the accessible enhancement systems are inadequate. This has prompted plenty of new strategies, by and large set under the regular flag of enhancing complex inquiries that attention on revamping the unpredictable questions in a straightforward way. Question streamlining is …
Published in Journal of Advanced Database Management & Systems · Vol. 9, Issue 1, 2022 · pp. 1–12 Read article
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Failure Analysis of Bearing: A Review
Abstract: Ball and rolling element bearings are perhaps the most widely used components in industrial machinery. They are used to support load and allow relative motion inherent in the mechanisms involved, preventive measures and recommended corrections to enhance the life of the bearing. In this paper, the most widely referred mechanisms are reviewed and discussed, and their limitations are addressed. Heat flows within a bearing, scanning electron microscope (SEM), Fourier infrared …
Published in Trends in Machine design · Vol. 3, Issue 3, 2016 · pp. 43–59 Read article
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A Survey on Weather Forecasting and the Proposed Approach
Abstract: Normal 0 MicrosoftInternetExplorer4 Accurate weather forecasting has been one of the most challenging problems around the world. The technical milestones that have been achieved by the researchers in this field have been reviewed and presented in this survey paper. Since the past decades, various models have been developed for weather forecasting using artificial neural network, data mining and by using soft computing, which are discussed in this paper. This paper …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 3, 2012 · pp. 17–21 Read article
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Brain Tumor Detection
Abstract: The MRI, or magnetic resonance imaging, is one of the most common practices in detecting a brain tumor since it contains important information used to extensively scan the human brain’s internal anatomy. The treatment of any tumor depends entirely on the knowledge and expertise of the physician. This paper reflects the identification of brain tumors using different machine learning algorithms along with the convolution neural network (CNN) and transfer learning. …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 8, Issue 1, 2021 · pp. 45–52 Read article
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Locomotion Inhibitory Activity of Lagerstroemia speciosa Hydroalcoholic Root Extract
Abstract: Presently, it has been found from the medical databases such as PubMed, Scopus, Google Scholar, etc. that no locomotion inhibitory activity has been explored by any research group so far for the hydroalcoholic extract of Lagerstroemia speciosa (Family: Lythraceae) root. The present study involved filling the above gap by exploring the locomotion inhibitory activity (actophotometer-based) in Swiss albino rats. The investigation showed promising therapeutic perspectives (as compared to standard drug …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 11, Issue 1, 2021 · pp. 8–11 Read article
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Anti-Escherichia coli Potentials of a Novel Chemical Compound 1-(2-hydroxy-1, 2-diphenylethylidene)-3-phenylthiourea
Abstract: Inspiration from the anti-infective excellence (anti-bacterial, anti-fungal, anti-viral, and anti-malarial) of Schiff’s base molecules as well as knowing the rising importance of low-molecular-weight ligands (LMWL), the present research involved the development of novel Schiff’s base compound utilizing very basic laboratory components; 1-phenylthiourea and benzoin using the conventional synthesis technique. The compounds were comprehensively characterized through sophisticated instruments and further screened for anti-microbial activity against pathogenic Escherichia coli (E. coli, MTCC …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 11, Issue 1, 2020 · pp. 9–12 Read article
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Design of Bioreactors for Tissue Engineering
Abstract: Utilizing ultra-scale down and microfluidic technology, micro and mini bioreactors are well characterised for usage in bioprocess research in from before the manufacture. Through use of bioreactors to study regular and pathophysiology, on the other hand, must be extremely distinct, and the physiological environment has an impact on bioreactor construction. The basic elements required for bioprocesses bioreactor to handle three major areas related to biological systems are examined in this …
Published in International Journal of Industrial Biotechnology and Biomaterials Read article
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Mathematical Modeling Analysis of India's Accident &Use of Fly Ash and Polymers in Road Safety
Abstract: Accident predicting models (APMs) are exceptionally strong tools for adaptation and mitigation strategies because they have the ability to predict both the severity and frequency of crashes. Road accidents are a major problem all throughout the world, especially in developing countries. Understanding the key variables that contribute can assist in reducing the frequency of traffic collisions. This study also discovered recent developments on fly ash, green composites, other polymer materials …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 488–499 Read article