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28 articles for “DT”
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Medical Image Fusion Enhancement Using DT-CWT Technique
Abstract: Image fusion are revolutionized by the tremendous research being done in this direction. With the quick development in high technology and recent instrumentations, medical image fusion has become a mandatory component of a large number of applications consisting of diagnosis, research and treatment. The main objective of this paper is to fuse the images obtained from different sources of same scene or different images of same object into a single …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 3, Issue 2, 2017 · pp. 8–13 Read article
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MRAC Based Speed Estimation of Three DTC Techniques for Three-phase Inverter Fed IPMSM Drive
Abstract: This paper aims to study three Direct Torque Control (DTC) techniques for an Interior Permanent Magnet Synchronous Machine (IPMSM) using Model Reference Adaptive Control (MRAC). In the conventional DTC technique using a look-up table, gate signals are given to the Inverter that drives IPMSM. Since it is a 6-sector scheme and the operation of the minimum number of voltage vectors, undesired torque and flux ripples are created. Hence the problem …
Published in International Journal of Electrical Power System and Technology · Vol. 9, Issue 2, 2023 · pp. 1–15 Read article
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A Study to Assess the Effectiveness of Food Diary Intervention on Polycystic Ovary Syndrome (PCOS) Symptoms Among Adolescent Girls at Dhanvantri College of Nursing, Namakkal DT, Tamil Nadu, India
Abstract: Polycystic Ovary Syndrome (PCOS) is a common endocrine disorder affecting adolescent girls. This study aimed to evaluate the effectiveness of a food diary intervention in alleviating PCOS symptoms among adolescent girls. A pre-experimental one-group pre-test and post-test design was used, and 30 adolescent girls with PCOS symptoms were selected for the study. The food diary intervention involved tracking daily food intake and PCOS symptoms for a period. The results showed …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 11, Issue 2, 2025 · pp. 8–13 Read article
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Brain Tumor Detection using Machine Learning Methods-KNN, SVM, DT, RF
Abstract: Brain tumor is a major contributor to illness and death worldwide, and timely diagnosis is essential for successful treatment and improved outcomes Recent research has looked into the possibility of machine learning algorithms for detecting and classifying brain tumours in medical pictures. In this study, four commonly used machine learning algorithms (K-Nearest Neighbours, Decision Trees, Support Vector Machines, and Random Forests) were evaluated for their effectiveness in brain tumor detection. …
Published in International Journal of Chemical Engineering and Processing · Vol. 9, Issue 2, 2023 · pp. 48–59 Read article
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Photo-Catalytic Degradation of Dyes Using Graphene Oxide–Dithizone Composite
Abstract: Graphene oxide–dithizone (GO–DTZ) composite was successfully synthesized through the copolymerization of graphene oxide and dithizone to develop an efficient photocatalytic material for wastewater treatment. The dithizone polymer was prepared using a 1:2 molar ratio, while graphene oxide was synthesized via the modified Hummers’ method to obtain highly oxidized graphene sheets with abundant oxygen-containing functional groups. The GO–DTZ nanocomposite was fabricated by ultrasonically dispersing graphene oxide with the synthesized dithizone polymer …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 2, 2026 · pp. 46–53 Read article
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Performance Comparison of Retinal Image Enhancement Techniques using Wavelet Transforms
Abstract: Retinal picture getting ready is indispensable in the medical field. Retinal overseeing and picture update are crucial here. At the first stage, Discrete Wavelet Transform (DWT) is used to enhance the image. Here, each sub band is processed differently to enhance the image. Since the issues in retinal image are dazzling and complicated to revive, we can execute the picture of solid retinal image for improvement estimation through a twofold …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 1, 2021 · pp. 1–7 Read article
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Estimation of Crop Yield Prediction Using Machine Learning Technique.
Abstract: Agriculture serves as the primary source of livelihood for a significant portion of India's population, but it faces a myriad of challenges, including climate variability, soil fertility issues, and reliance on traditional farming practices. To address these challenges, researchers are increasingly turning to machine learning (ML) methodologies to predict crop yields more accurately. Studies have delved into the effectiveness of various ML algorithms such as Random Forest, Gaussian Process Regression, …
Published in International Journal of Agrochemistry · Vol. 10, Issue 1, 2024 · pp. 7–12 Read article
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A Complexity in Design of Cyber-Physical Systems: Context framework
Abstract: Cyber-bodily structures play a key role in a huge quantity of application domain names which include transportation, energy, health and nicely-being, manufacturing, and indeed as a part of clever infrastructures and towns—consequently now not best referring to business domain names. This paper makes a specialty of the complexity of destiny CPS, intuitively interpreted as a machine feature making it tough, and sometimes even not possible, as it should be predicted …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 2, 2020 · pp. 1–10 Read article
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Prediction of Compressive Strength of Concrete with Decision Trees
Abstract: In the past few researchers predicted the compressive strength of concrete from its ingredients employing data driven technique like artificial neural network (ANN) and Decision Tree (DT). For Indian concrete records, only one study was available which had employed ANN for prediction. Evaluation of different performance metrics indicated that there was scope of improvement in the prediction performance. In this paper experimental data from the literature was utilized for development …
Published in International Journal of Concrete Technology · Vol. 2, Issue 1, 2016 · pp. 19–29 Read article
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Efficiency of Super Heterodyne Fabricated Matter
Abstract: Nano fabrication efficacy has been efficient features to the system of Bluetooth low energy (BLE) from assigned overcome from discrete-time (DT) superheterodyne receiver (RX). Additional characteristic of DT-RX system is for applicability to internet-of-things (IoT), commercial Bluetooth and 2G cellular radios, while alternative to software-defined radio applicability. Implicative produce has furnished evolve of programmable capacitor for switched-capacitor (SC) structure. Program has added to flex digitally intensive scriptive system, which has …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 7, Issue 2, 2021 · pp. 1–8 Read article
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Evolution of Mobile Wireless Generations and the Architectural Foundations of AI-Integrated 6G Networks
Abstract: Wireless communication has moved through five complete technology generations in roughly four decades, and each transition has reshaped how societies exchange information, run businesses, and design cities. This paper is the first instalment of a two-part review and concentrates on the historical arc of that journey, tracing the defining traits, benefits, and shortcomings of 1G through 5G before turning to the architectural groundwork on which sixth-generation (6G) networks are being …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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Design and Testing of Transformer Protection System in Substation
Abstract: This study proposes a methodology and guidelines for distribution engineers to show that by testing and auditing of DTs, a generalized computer program is used to evaluate any given DTs system. This results in improving the stability as well as energy handling capacity of the system at minimum cost. A distribution network is selected for rehabilitation on the basis of certain planning criteria such as voltage drop, power loss equipment …
Published in International Journal of Electrical Power System and Technology · Vol. 5, Issue 1, 2019 · pp. 17–23 Read article
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Effect of nano Aluminum on Thermal Behavior and Ignition Characteristics of Al/KClO4 Thermite Composition
Abstract: Ignition experiments of micron size Al/KClO4 (ALCLO) thermite composition was carried out at high heating rate (40°C/min.) using DTA (differential thermal analysis), and it was observed that no ignition took place up to 700°C. Similarly in case of STA (simultaneous thermal analyzer) experiments, no ignition peaks were found up to 1100°C at 20/min. ALCLO when ignited in a bomb calorimeter for heat of combustion output measurement it produced a large …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 5, Issue 2, 2019 · pp. 9–19 Read article
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Project on Pulsar 150 CC Engine Modifications for Race Purpose
Abstract: The Bajaj Pulsar is the ultimately popular 220 cc. The Baja pulsar 135/150/180/220cc are depended on the previous design which has been in motorbikes owned by Bajaj Auto situated in India. Currently there are eight unique variants available, with engine capacities of 125 cc, 150 cc, 160 cc, 180 cc, 200 cc, and production since its development in 2001, while the Pulsar 160/200 cc are based on a platform. It …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 6, Issue 1, 2020 · pp. 19–21 Read article
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A study AI-Driven IoT in Self-Healing Grid Power Systems
Abstract: Modern electricity infrastructure is undergoing a transformation thanks to the combination of artificial intelligence (AI) and the Internet of Things (IoT), especially in the development of self- healing grid systems. In the context of smart grid automation and resilience, this article provides a thorough review of AI-driven IoT infrastructures. By leveraging distributed sensor networks, real-time data acquisition, and advanced KSK Approach, and machine learning algorithms—includes ANN, DT and K-NN—the proposed …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 15–24 Read article
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Bot Defender: A Collaborative Defense Framework for Botnet Intrusion Mitigation
Abstract: Botnet attacks represent a significant threat to cybersecurity, compromising vast numbers of devices and causing extensive harm. BOT DEFENDER is a novel collaborative defense framework designed to mitigate botnet intrusions effectively. This framework leverages the power of collective intelligence, integrating data from multiple sources to detect and respond to botnet threats in real-time. By utilizing advanced machine learning algorithms, BOT DEFENDER can identify anomalous network behavior indicative of botnet activities, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 6–11 Read article
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DESIGN AND ESTIMATION OF RESIDENTIAL BUILDING USING ETABS AND QUANTITY TAKE OFF SOFTWARE: A REVIEW
Abstract: The drafting, study, and design of a building are the most critical phases in its construction and planning. The project that will be completed is the construction of a multi-story building that will be used as a home. According to the requirements and available space, the building plan was created using AutoCAD software. The ETABS programme was used to evaluate and construct the superstructure, or the building frame. A quantity …
Published in International Journal of Architectural Heritage · Vol. 4, Issue 1, 2021 · pp. 1–3 Read article
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Participatory Varietal Selection on Drought Tolerant Rice at Sundarbazar, Lamjung
Abstract: A Participatory Varietal Selection (PVS) trial was conducted in rainfed lowland at Sundarbazar, Lamjung with the objective to assess the performance of drought tolerant rice (DTR) genotypes on phenological, biometric, yield and yield attributing characters during rainy season 2017. The experiment was carried out in Randomized Complete Block Design with three replications and ten treatments consisting IR-14L635 (T1), IR-15L1043 (T2), IR-14L363 (T3), IR-15L1077 (T4), IR-14L613 (T5), IR-15L1091 (T6), IR-15L1018 (T7), …
Published in International Journal of Agrochemistry · Vol. 5, Issue 1, 2019 · pp. 41–52 Read article
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Synthesis, Crystal growth and Characterization of Lead acetate zinc (II)Sulphate Material
Abstract: Leadacetatezinc (II) Sulphate Crystal is synthesized by the addition of Leadacetate to Zinc sulphate in equimolar concentration (1:1ratio) to produce larger sized crystal but during the crystallization process a bulk of colourless precipitate was obtained and after filtration the crystals are formed in the filtrate after slow evaporation solution growth technique. Thus formed crystals from the filtrate is kept away and the precipitate formed during the crystallization process is characterized …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 9, Issue 1, 2023 · pp. 22–29 Read article
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Unlocking the Potential: Machine Learning Driven Explainable AI Applications Across Diverse Domains
Abstract: Explainable artificial intelligence (XAI) aims to make discoveries and output generated by machine learning algorithms accessible to human users in a trustworthy and easy-to-understand manner. It describes the impact of an AI model and any potential biases, helping in characterizing models with accuracy, fairness, transparency, and outcomes in decision-making powered by AI. XAI focuses on understanding the data used to train the model, its predictions, the specific elements involved in …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 24–32 Read article