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402 articles for “data processing”
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Intelligent Supply Chain using IoT
Abstract: Abstract: With the emergence of the new technologies like – Big Data, Internet of Things, Blockchain, Artificial Intelligence, the way in which business are working today are fast changing. These technologies are making a huge impact in every sector of the industries, be it a manufacturing, retail, aerospace, Oil and Gas and others. The core process of any industry like supplies, product manufacturing or selling of a product to a …
Published in International Journal of Distributed Computing and Technology · Vol. 5, Issue 2, 2019 · pp. 8–19 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Forecasting Trends in the Stock Market by Using Deep Learning Approaches
Abstract: Accurately predicting stock market trends remains a significant challenge in the field of finance. Deep learning, a subset of machine learning, has emerged as a powerful tool for capturing complex relationships within data. What sets deep learning apart is its ability to handle vast amounts of data, recognize intricate features, and adapt to evolving patterns, all while uncovering hidden insights. At its core, deep learning uses artificial neural networks that …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 22–30 Read article
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Development of a Blockchain Technology Framework for Agri-food Supply Chain Management
Abstract: Supply chain management involves effectively managing the movement of goods and services all the way from their origin as raw materials to their delivery to the final consumer. It involves all the steps involved in transforming, transporting, and delivering products to meet customer demand. In agri-food supply chain management, producers, distributors, and consumers are demanding greater transparency in the food sector due to a rise in agricultural mislabeling and negligent …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 22–28 Read article
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Technical Insights into the Industrial Synthesis and Production of Ten Prominent Plant Growth Regulator Molecules: Process Flow and Mass Balance Determination
Abstract: Plant Growth Regulators (PGPRs) are indispensable tools in modern agriculture, offering precise control over various aspects of plant development and enhancing crop productivity. While their diverse applications are widely recognized, detailed technical insights into their industrial manufacturing processes, including synthesis routes, process flow, and mass balance, are often limited. This manuscript addresses this gap by presenting a comprehensive technical analysis of the industrial synthesis and production of ten prominent PGPR …
Published in International Journal of Analytical and Applied Chemistry · Vol. 11, Issue 2, 2025 Read article
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Edge Resource Allocation for Different IoT based Smart Devices in Real-Time Applications Processing
Abstract: Empowered by figuring resources at the network edge, data recognized from IoT contraptions can be taken care of and set aside in their nearby cloudlets to decrease the traffic load in the middle network, while various IoT applications can be run in cloudlets to reduce the response time between IoT clients (e.g., client gear in versatile networks) and cloudlets. Considering the spatial and transient components of each and every application's …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 8, Issue 2, 2022 · pp. 12–20 Read article
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Software Contributions to Analytical Instruments
Abstract: Laboratory instruments used in the analysis of the sample or preparation of raw materials are crucial in research and business. Such features as accurately measured values and data coverage. The coordination between software and these instruments has changed their roles, gaining flexibility, accuracy and efficiency of work. This paper aims to outline the various roles of software in the analytical process. Instruments, describing the progress in data obtaining, analysis, and …
Published in International Journal of Analytical and Applied Chemistry · Vol. 11, Issue 1, 2025 · pp. 1–15 Read article
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Detection of Brain Tumor Using K-means Clustering Algorithm
Abstract: A brain tumor is a dangerous medical illness that, if not treated promptly, can be fatal. Therefore, it becomes essential to find the tumor early on in order to organize therapy as soon as possible. A brain tumor is the result of the growth of abnormal cells in the brain. Brain tumors come in many different forms. The majority of brain tumors are malignant (cancerous); however, some are benign (noncancerous). …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 1–9 Read article
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Multi-Modal Summarization for Digital Data
Abstract: ABSTRACTText summarization aims to abbreviate input text into a compact form. Automatic data summarization is one of the field of data mining. The increase in expansion of data communication over the net makes it crucial to create Multi-Modal Summarization (MMS) from synchronous data (text, audio, image and video). The MMS method combining the techniques of Natural Language Processing (NLP), speech processing, computer vision, and Advanced Encryption Standard (AES) encryption used …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 1, 2020 · pp. 28–34 Read article
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Kinetic Modeling and Thermodynamic Study of the Simultaneous Adsorption of Polycyclic Aromatic Hydrocarbons (PAHs) Onto Organomontmorillonite in Aqueous Medium
Abstract: Water is a vital source of human life, but it has frequently been polluted by mono and polycyclic aromatic hydrocarbons, usually from petrochemicals in petroleum industrial effluents as well as other anthropogenic activities. This study investigate the potential of montmorillonite intercalated HDTMAand TMPA cations for effective removal of five (5) different polycyclic aromatic hydrocarbons (PAH) namely: naphthalene, anthracene, chrysene,benzo(a)pyrene and benzo(g,h,i) perylene in aqueous medium. To research PAH adsorption behaviour …
Published in International Journal of Composite Materials and Matrices · Vol. 8, Issue 1, 2022 · pp. 28–38 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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Evaluation of the Flow Properties of Self-Compacting Fly-ash Concrete Using Artificial Neural Network
Abstract: The purpose of this study is to examine the feasibility of using artificial neural network programming for the calculation of the fresh properties of self-compacting concrete. The input parameters of the neural network were the mix composition influencing the fresh properties of self-compacting concrete namely; the cement content, the dosages of fly-ash, water, fine aggregate, coarse aggregate, and superplasticizer. The model is founded on a multilayer feed forward neural network. …
Published in International Journal of Structural Engineering and Analysis · Vol. 7, Issue 2, 2021 · pp. 35–40 Read article
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Data Science for Environmental Modelling
Abstract: Abstract: Soil moisture is a critical Earth system variable linking atmospheric, hydrological, and ecological processes. However, observations are sparse and fragmented: in situ gauges provide point data, satellite missions (SMAP, SMOS, Sentinel-1) offer broad coverage at coarse resolutionQ, and land‐surface models (GLDAS, ERA5, etc.) yield estimates with their own biase. Here we propose a conceptual framework for integrated environmental data modelling, combining rainfall, temperature, and soil moisture information with machine …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 · pp. 33–40 Read article
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Data Science for Environmental Modelling
Abstract: Abstract: Soil moisture is a critical Earth system variable linking atmospheric, hydrological, and ecological processes. However, observations are sparse and fragmented: in situ gauges provide point data, satellite missions (SMAP, SMOS, Sentinel-1) offer broad coverage at coarse resolutionQ, and land‐surface models (GLDAS, ERA5, etc.) yield estimates with their own biase. Here we propose a conceptual framework for integrated environmental data modelling, combining rainfall, temperature, and soil moisture information with machine …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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Blood Group Prediction Using Fingerprint
Abstract: There is a widespread need worldwide for a cost-effective solution to measure blood groups, especially critical in underprivileged regions. Leveraging Image Processing, a prevalent technology in both affluent and resource-limited areas, presents a viable option for addressing this demand. This project advocates for the use of Image Processing algorithms and detection models to non-invasively ascertain blood groups. Its goal is to offer workable solutions for creating a point-of-care instrument that …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 9, Issue 2, 2023 · pp. 1–6 Read article
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Detection of Phishing Sites Using Machine Learning
Abstract: The content of phishing websites and online-based material provides a variety of indicators. One of the criminal attacks that are successful in the online world is phishing sites that direct users to a phishing website that looks and acts like a legitimate website in order to steal the victim's personal and sensitive information. The Extreme Learning Machine-based version that was suggested was excellent at spotting phishing websites. Internet page types …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 33–39 Read article
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Delineate Catchment Areas of Vindhyachal Region Using Geospatial Techniques
Abstract: In this paper we used an integrated suite of raster and vector geospatial datasets to delineate and characterize watersheds. The geospatial datasets used to delineate and characterize watersheds with the help of Arc Hydro tools of Arc GIS software. We have performed drainage analysis on a terrain model for Vindhiyanchal Region. With the availability of digital elevation models (DEM) and geographic information system (GIS) tools, watershed properties can be extracted …
Published in International Journal of Water Resources Engineering · Vol. 1, Issue 1, 2015 · pp. 1–9 Read article
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Facial Recognition in Education: Revolutionizing Attendance Tracking for Enhanced Efficiency and Security
Abstract: The goal of this project is to develop a facial recognition-based attendance system for educational institutions to improve and modernize the current system and make it more effective and efficient than it was in the past. The distinctive features of the human face allow for individual identification. Since there is little chance of a face deviating or being duplicated, it is utilized to trace identification. The article also covers the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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Facial Image Analysis for Identification of Gender: A Machine Learning based Approach
Abstract: Facial biometrics for gender classification is known to significantly improve the efficiency of person identification in biometric access control models. It not only increases the speed but also improves the accuracy. It reduces the effort of finding a match for a face in the databases to almost a half. The process like any pattern recognition framework needs to extract the useful features. A novel gender identification algorithm is proposed which …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 23–29 Read article