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135 articles for “components accuracy”
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Detecting Phishing Websites Using Hybrid Methodologies
Abstract: In the digital era, personal information theft has become a widespread and increasingly severe crime. Cybercriminals, often known as hackers, use deceptive strategies, with phishing websites being a major method for stealing confidential data. These fake websites imitate legitimate ones, tricking users into revealing sensitive personal and financial information, which has led to a rise in fraud cases. To address this escalating threat, a comprehensive research paper is proposed. This …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 59–65 Read article
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Continuous Glucose Monitoring Device
Abstract: Managing diabetes effectively requires regular monitoring of blood glucose levels, which is traditionally done through invasive methods like finger-prick tests. This work introduces a non-invasive blood glucose monitoring system utilizing the MAX30100 pulse oximeter sensor and Internet of Things (IoT) technology. The system estimates glucose levels by analyzing infrared (IR) light absorption properties, eliminating the need for direct blood sampling. Key components include the ESP32 microcontroller, cloud-based data storage, and …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 3, 2025 · pp. 1–6 Read article
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Experimentally New Technique System to Measure Contact Angle of Metal/Melt System in Simple Way
Abstract: In this research, easy and new technique system to measure contact angle of metals/metals systemwas introduced. The new technique system used a simple component in direct procedure to foundcontact angle of solder on metals substrate in wide range of drops volumes. Solder was applied intoaluminum and copper substrate metals using control heating temperature of the substrate. Then, theresults were analyzed by image J program to know the accuracy of the …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 8, Issue 1, 2021 · pp. 38–43 Read article
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Study of Lipid Profile and Its Correlation with Coronary Angiogram Finding in a Tertiary Care Hospital in an Urban Setting
Abstract: Coronary artery disease (CAD) is a major global health concern caused by the constriction or blockage of the coronary arteries, which can result in serious cardiovascular events. This study looks at the relationship between lipid profiles and the severity of CAD as measured by coronary angiography in patients in a tertiary care hospital. The study focuses on dyslipidemia as a major risk factor for CAD, emphasizing the importance of efficient …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 106–118 Read article
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Fracture Analysis of Functionally Graded Material (FGM) Plates Using Extended Finite Element Method: A Review.
Abstract: Functionally Graded Materials (FGMs), have drawn a lot of interest in various engineering applications due to their superior mechanical properties and ability to withstand extreme conditions. Fracture analysis in FGMs focuses on understanding how cracks initiate and propagate within these complex materials. The stress distribution becomes irregular due to spatial property variations which produces different crack paths than what occurs in homogeneous materials. The examination of FGM plates under fracture …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 9–15 Read article
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IoT and Node MCU based Smart Logistics
Abstract: Logistics plays a key role in global economies, encompassing the planning, implementation, and control of goods movement. Traditional logistics systems often suffer from inefficiencies, such as manual tracking, delays, and lack of real-time visibility, leading to increased costs and environmental waste. The advent of IoT has revolutionized this sector by enabling interconnected devices to gather and argument data seamlessly. At the heart of many IoT applications is Node MCU. It …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 38–50 Read article
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Design and Implementation of Lightweight Polymer-Based Drone System for Targeted Agricultural Spraying
Abstract: Agriculture has entered a new era of innovation, with drone technology emerging as a key tool in pesticide and fertilizer application. Unlike conventional methods that expose farmers to hazardous chemicals resulting in health issues such as skin disorders, neurological impairments, and in extreme cases, fatal illnesses drone-based spraying offers a safer and more efficient alternative. In India, the adoption of this technology is accelerating due to its ability to reduce …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 476–486 Read article
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Smart-Waste-Management-System
Abstract: The rapid urbanization and increasing waste generation pose significant challenges to traditional waste management systems, necessitating innovative solutions that integrate economic principles and management strategies. In order to enhance trash transportation and recycling procedures, this paper investigates the deployment of a Smart trash Management System that makes use of Internet of Things (IoT) components and machine learning algorithms. By applying economic principles such as cost-benefit analysis and resource allocation, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 18–27 Read article
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Fractal-Entropy Guided Adaptive Signal Reconstruction for Non-Stationary Biomedical and Communication Systems
Abstract: This paper presents a novel Fractal-Entropy Guided Adaptive Signal Reconstruction (FEG- ASR) framework designed for accurate processing of non-stationary signals in biomedical and communication systems. The proposed approach integrates fractal dimension analysis with entropy- based feature evaluation to capture the intrinsic complexity and irregularity of time-varying signals. By dynamically adapting reconstruction parameters based on fractal-entropy measures, the method effectively separates noise from meaningful signal components while preserving critical information. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 22–33 Read article
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CIPHER Intelligence: AI-Powered Global Military Expenditure Analysis and Predictive Modeling
Abstract: Military expenditure analysis has emerged as a critical component of economic and geopolitical intelligence in the modern era. This paper presents CIPHER Intelligence, a comprehensive AI-powered platform for analyzing and predicting global military spending patterns across 211 countries spanning54 years (1970-2024). We employ advanced machine learning techniques, particularly Random Forest regression models, to achieve 99.5% prediction accuracy for military expenditure forecasting based on economic indicators. The platform integrates data from …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 1–8 Read article
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AI based Assistive glasses for visually impaired persons
Abstract: There been a lot of change in tools for assisting visually impaired persons from simple analog tools to digital sensor-based devices. In this paper we have designed an AI- based smart assistive glass which can detect objects, read text their nature, distance and give feedback through audio output in real time. This system stores visual data and with use of object recognition it analyzes surroundings.Besides,VL53L0X TOF mea- sures accurate distance …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 · pp. 22–29 Read article
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A Systematic Review of Method Development and Validation for Ramipril Analysis Using Hplc in Cardiovascular Research
Abstract: The field of analytical chemistry encompasses a variety of methods that are crucial in determining the chemical composition of different substances. UV-visible spectroscopy and high-performance liquid chromatography (HPLC) are two widely utilized methods that are the subject of this article. UV-visible spectroscopy uses the Beer-Lambert law to quantify light absorption, which can provide information about the concentration of absorbing species. The method is based on how light and matter interact, …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 2, 2024 · pp. 37–44 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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Maximizing Flow and Ensuring Leak Tightness Through Design and Development of a Unidirectional Check Valve
Abstract: The check valve market, valued at USD 6.5 billion in 2024, is expected to grow at a 4.1% CAGR. Challenges in valve seat materials, particularly SS304 and PTFE (Teflon), contribute to a 0.5% leak rate, which leads to helium gas loss, reduced efficiency, and higher operational costs. While various sealing techniques, including hard-on-soft methods, have been explored, few have been applied to poppet check valves. This study focuses on improving …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 2, 2024 · pp. 10–18 Read article
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Integration of Multispectral Satellite data with Ensemble Machine Learning Models for Wetland Classification: a new Ramsar Site in Central India
Abstract: For biodiversity conservation, several wetlands in India have been classified as Ramsar sites, and Sirpur Lake is a recent addition to the list. The objective of this paper is to use Sentinel optical data with 10-meter resolution to prepare a robust and accurate classified map which will be crucial for further analysis. The data on thirteen spectral bands along with four essential spectral indices, Normalized Difference Vegetation Index (NDVI), Normalized …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 Read article
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Winding Modification and Analysis of LVDT
Abstract: The LVDT (Linear Variable Differential Transformer) typically uses step-winding mode because it has an advantage such as simple construction and fewer layers of winding. The LVDT converts a location or linear movement from a reference standard (zero or null point) impulse with direction and distance information into a proportionate electrical field using the phase and amplitude components. To produce the output in full stroke, the core’s length must be more …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 29–35 Read article
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A Real Time Analysis Of Wireless Power Transfer Coil Design For Electric Vehicle
Abstract: Wireless Power Transmission is a process that uses a vacuum or an atmosphere to transmit electrical energy. It is commonly used in the medical, industrial, and transportation sectors. However, its reliability and quality are often affected by the range and efficiency of the transmission. Electric Vehicles (EVs) have the potential to achieve better efficiency and lower emissions than internal combustion engines. However, their limited range makes them a major barrier …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 2, 2022 · pp. 19–24 Read article
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A review on Methodology used for Dry Turning of AISI 52100 Steel
Abstract: Bearing steel like AISI 52100 is one of the most widely used high cutting steel in industry for manufacturing of bearing. A large amount of coolant is used for machining at high speed due to which increase there has been a significant increase in environmental hazards. So Green or Dry manufacturing with optimize cutting parameters and its effect on tool material & work piece quality need to be studied to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 467–475 Read article
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Alzheimer Detection Using MRI Imaging Modality
Abstract: Alzheimer’s disease (AD) is a neurological disease that affects memory and livelihood of the people that are diagnosed with it. Many different imaging modalities have been used to help diagnose the disease. Each of these modalities offers something different towards the detection and possible treatments for AD. In this project, we developed a new approach based on mathematical and image processing techniques for better classification of AD. We proposed to …
Published in Current Trends in Signal Processing · Vol. 6, Issue 1, 2016 · pp. 11–17 Read article
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Design & Development a SPM for cutting operation: A case study on power switch assembly
Abstract: Automation is used to improve the productivity in majority of the industries. It helps in reducing the human intervention and improves a quality lot. Assembly process along with the manufacturing of each part needs to be studied, to automate the desire manufacturing processes. Here a case of power switch is investigated and analysis is carried out in terms of the automation strategy. Each process is analyzed by parameters like efficiency, …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 2, 2018 · pp. 7–17 Read article