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276 articles for “Accuracy”
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Design, development and Testing of 2-Phase Separator
Abstract: AB S T R A C T As the pressure vessel operates under high internal pressure, the choice of material and accuracy in design play a vital role in ensuring its safety and reliability. Proper design is essential because any failure in a pressure vessel can lead to serious hazards, financial losses, and operational shutdowns. In compliance with the ASME Code (Section VIII, Division 1) and the process data sheet, …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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AI-Integrated Precision Agriculture System for Fertilizer Optimization, Multimodal Crop Yield Prediction
Abstract: Agriculture is rapidly transforming into a data-driven ecosystem supported by advances in artificial intelligence (AI), Internet of Things (IoT) sensor networks, and satellite remote sensing technologies. These innovations enable precision-driven decision-making aimed at improving productivity while minimizing environmental impact. This paper presents an AI-integrated precision agriculture system designed to optimize fertilizer usage and enhance crop yield prediction accuracy through a robust multimodal deep learning framework. The proposed approach integrates heterogeneous …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 1, 2026 · pp. 11–17 Read article
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Use of Natural Language Processing for Hate Speech Detection on SocialMedia:
Abstract: The exponential growth of social media platforms has led to an increase in user- generated content, enhancing global connectivity but also facilitating the spread of harmful language, including hate speech. Addressing this issue requires robust, Naïve Bayes, Decision Tree, K-Nearest Neighbours (KNN), Linear Regression, and Random Forest—were tested, with Linear Regression achieving the highest accuracy automated systems for detecting and mitigating offensive content. This paper presents a comprehensive analysis of …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 9–16 Read article
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Audio & Video Translate System
Abstract: With the increasing expansion of digital media and globalization, there is a rising need for sophisticated audio and video translation systems to overcome language and cultural barriers. This paper explores the role of these systems in localizing multimedia content, ensuring accessibility, and complying with global standards, including those focused on individuals with disabilities. The research aims to investigate how various translation technologies, such as dubbing, subtitling, and audio descriptions, contribute …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 6–12 Read article
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Applications of Trans-Conductance Amplifier in CMOS
Abstract: Abstract: An output voltage proportionate to an input current is produced by the operating trans conductance amplifier. In this regard, it is equivalent to the fundamental purpose of the solid-state devices that make it possible. The operational transconductance amplifier (OTA) is a very adaptable and essential part of contemporary analog and mixed-signal electronic circuits because it produces an output voltage proportionate to an input current. With the extra advantage of …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 2, 2025 · pp. 1–6 Read article
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A Literature Review on Comparative Analysis of Non-Contact AI Vision-Controlled Diameter Measurement vs. Conventional Methods in Flux Core Wire Drawing Measurement
Abstract: AbstractEnsuring precise diameter control in flux core wire drawing is crucial for maintaining welding wirequality and performance. Conventional measurement methods, which often rely on manual inspectionor mechanical techniques, face limitations in accuracy, consistency, and responsiveness. This studyexplores the application of AI vision-controlled systems to address these challenges by enabling realtime,high-precision, non-contact diameter measurement. Through an extensive review of researchpapers and patents, this paper examines the advancements in AI-based monitoring techniques …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 8–16 Read article
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AI-Driven Hybrid Neural Network Architecture for Medical Image Segmentation: A Novel Approach for Early Disease Detection
Abstract: One of the key factors in detecting early diseases is medical image segmentation. Medical image segmentation can be very complex due to the differences in image quality, noise, and specific anatomical structures of individual patients. A novel approach for a hybrid neural network structure that combines the power of convolutional neural networks, and the transformer-based models is described here for improved accuracy and robustness of medical image segmentation. Unlike traditional …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
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A Review on Surface Error Compensation in Thin-Walled Component Machining
Abstract: *Author for CorrespondenceManikandan HareendranE-mail: [email protected] 1,4,5,6Associate Professor, Department of Mechanical Engineering, Mangalam College of Engineering (APJAKTU), Kottayam, Kerala, India2,3Assistant Professor, Department of Mechanical Engineering, Mangalam College of Engineering (APJAKTU), Kottayam, Kerala, India7Professor, Department of Mechanical Engineering, Mangalam College of Engineering (APJAKTU), Kottayam, Kerala, India Received Date: November 12, 2024Accepted Date: November 14, 2024Published Date: November 22, 2024 Citation: Rajeeve K. Mohana, Santhu Varghese Thomas, Rahul Krishnan, Johan George Cherian, Navish …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article
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Advancing Early Detection of Menkes Disease Through Image Analysis and Biosensor Integration
Abstract: Menkes disease, a rare X-linked recessive disorder of copper metabolism, poses significant challenges in early diagnosis due to its nonspecific initial symptoms. This paper presents a comprehensive approach to enhance the early detection of Menkes disease by leveraging image processing techniques, pattern recognition algorithms, and innovative biosensor technologies. A novel framework is proposed that combines analysis of hair microscopy images, facial feature recognition, and copper-sensitive biosensors to create a multi-modal …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 24–34 Read article
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Tools and Concepts for Building A Collaborative Project Discovery and Development Platform: A Literature Review
Abstract: Collaborative project platforms have become indispensable in modern project management, especially with the rise of remote work, accentuated by the COVID-19 pandemic. This literature review synthesizes recent studies to explore the dynamics of collaborative project platforms, focusing on tool choices, usage patterns, and challenges. Organizations need to be ready to take on the obstacles that come with implementing projects. This study collects information on the objectives and issues faced by …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 13–18 Read article
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Plotting Precision: Exploring the Capabilities of XY Plotters in Modern Research
Abstract: An XY Plotter machine is proposed in this paper to produce precise and consistent graphical output for customers. It consists of two axis which are perpendicular to each other, each axis has a motorized carriage that moves independently. The precision and accuracy of the axis arm movement allow it to produce detailed drawings, graphs, and diagrams. XY Plotter fulfills the industry’s demand for accuracy and precision. The XY plotter is …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 17–26 Read article
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Sensitive Spectrophotometric and Flame Photometric Methods for Determination of Diclofenac Sodium in Pharmaceuticals
Abstract: Diclofenac sodium (DFS) is a non-steroidal anti-inflammatory drug (NSAID). Two new analytical methods have been developed for the assay of DFS in its pure form, tablets and injections. Spectrophotometric method is based on the oxidation of drug with known excess of cerium(IV) and oxidation of methyl orange (MO) by residual oxidant and measurement of absorbance of unreacted MO at 470 nm. Flame photometric method is based on the measurement of …
Published in International Journal of Analytical and Applied Chemistry · Vol. 2, Issue 2, 2016 · pp. 1–10 Read article
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DIRECT DETERMINATION OF AMOXICILLIN SODIUM IN ITS PURE AND DOSAGE FORMS USING ATOMIC ABSORPTION SPECTROMETRY BASED ON ITS SODIUM CONTENT.
Abstract: Atomic absorbtion spectrometic method has been developed and validated for direct determination of amoxicillin sodium in its pure and pharmaceutical dosage forms based on its sodium content at λ 589 nm. The developed method was found to be time and cost saving and has no tedious or complex procedures. The developed method is very sensetive regarding LOD (0.025 ppm of sodium equivalent to 0.423 μg mL-1), LOQ (0.076 ppm of …
Published in International Journal of Analytical and Applied Chemistry · Vol. 4, Issue 1, 2018 · pp. 36–41 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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Detection of Stego from Motion Vector Patterns Using Steganalysis
Abstract: The ultimate goal of this paper is to detect a stego (encrypted message) in the compressed video using various steganalysis techniques. Although there are many steganalysis methods, in this paper we concern more about the detection accuracy so that no stego will be escaped. To capture all the deviations in the video we use the filters of higher orders. The temporal dependency of the motion vector planes is also considered …
Published in International Journal of Distributed Computing and Technology · Vol. 3, Issue 1, 2017 · pp. 9–13 Read article
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Convolutional Neural Network Algorithm for Stress Field Approximation for a Uniaxially Loaded Plate with Holes
Abstract: ABSTRACTKnowing the high stress concentration and its location around a hole is of practical importance in designing engineering structures, effective parameters can be selected in order to achieve minimum stress concentration around the hole(s). The visualisation of the stress distribution is done experimentally or numerically using finite element analysis (FEA). This study involved the approximation of the von Mises stress field distribution around regular holes in finite metallic plates, based …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 1–12 Read article
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Recognition and Detection of Content in Video Using OpenCV
Abstract: The emergence and continued reliance on the Internet and related technologies has resulted in massive amounts of data that can be analysed. Humans, on the other hand, do not have the cognitive abilities to comprehend such vast amounts of data. Machine learning (ML) is a mechanism that enables humans to process large amounts of data, gain insights into the data's behaviour, and make more informed decisions based on the analysis's …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 42–47 Read article
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Agribot: An Agriculture Robot
Abstract: Agribot is a robot designed for agricultural purpose. As one of the trends of development on automation and intelligence of agricultural machinery in the 21st century, we are applying the idea of robotics technology in agriculture, since robotics technology is used in many of the fields such as defense, surveillance, medical field, industries and so on. In this paper, the robot system is used to develop the process of cultivating …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 1, 2017 · pp. 14–17 Read article
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Identification of Plant Leaf Diseases Using CNN
Abstract: The proposed approach helps detect leaf withering and provides a treatment. Databases retrieved from the internet are strictly isolated; unique leaf seeds are recognized and renamed to create an acceptable database. Next, you will receive a test database consisting of a series of leaf rots that will be used to verify the accuracy and reliability stages of your project. Already used. Then use the coaching statistics to train the classifier …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 1–5 Read article
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Support Vector Machine-based Flower Image Classification for Commercial Applications
Abstract: Flowers are crucial raw materials in many industries, including pharmaceuticals and cosmetics. Classifying flowers manually is time-consuming, inconsistent, and requires professional judgment from a botanist. Computer-aided flower classification is a promising approach to this problem. Image classification often employs support vector machines (SVMs) as widely favored algorithms. This study evaluated the performance of SVMs for flower image classification. The results showed that SVMs can achieve good accuracy on this task, …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 44–53 Read article