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628 articles for “data engineering”
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Perspectives on ‘Kamsaharitaki’: an Ayurvedic Formulation for COVID-19 related Multisystem Inflammatory Syndrome (MIS)
Abstract: Background and Aim: Angiotensin-converting enzyme 2 receptor (ACE2), together with Transmembrane protease serine 2 (TMPRSS2), is a protein receptor for SARS-CoV-2 virus in the host subject; expression of ACE2 and TMPRSS2 reveals the multidimensional character of COVID-19 infection. SARS-CoV-2 Prominently induces pulmonary and systemic injury with other synergistic mechanisms. Preexisting chronic inflammatory conditions markedly sustain and aggravate the severity and cytokine storm. Inflammatory responses are closely linked with COVID-19 severity …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 11, Issue 1, 2022 · pp. 28–39 Read article
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Machine Learning Innovations for Effective Spam Comment Filtering in Social Networks
Abstract: The increasing prevalence of social media platforms has revolutionized communication, fostering unparalleled levels of connectivity and data exchange. However, the widespread increase in spam comments presents a serious threat to the integrity of online discussions, potentially undermining the quality of interactions. To confront this issue, our proposed model utilizes machine learning techniques to bolster spam comment detection across various social media platforms. This endeavor involves a thorough investigation encompassing data …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 19–24 Read article
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An Integrated Approach for Optical Router Design for High-Speed Data Centers
Abstract: AbstractData centers are the core of the networking. The users connect to top of rack (ToR) switches by various network topologies. Depending on topology designs and applications running on data centers decide the traffic characteristics. Due to cloud computing environment in many data center switches distinctive varieties of applications runs. Thus, traffic characteristics vary on various data center switches. This paper discusses the random and bursty traffic model for data …
Published in Journal of Microwave Engineering and Technologies · Vol. 6, Issue 3, 2019 · pp. 1–10 Read article
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Research on Numerical Simulation of Fluids Based on BIM Boundary Conditions in the Lower Fazi River in Taichung
Abstract: Building Information Model (BIM) application in Taiwan, After sorting out the literature, it is found that the water conservancy field is less used, Computer processing technology is becoming more and more mature, Engineering fluid simulation software has various parameter control and high precision, Simulation channel analysis can be controlled by establishing the edge model to control the water conservancy factor, In this study, BIM was introduced into the river section …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 3, 2021 · pp. 1–18 Read article
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Water Quality Management using IoT and Data Analysis
Abstract: The drinking water crisis is one of the biggest crises in the world. Contaminated water causes deadly diseases creating a health issue. As the world is equipped with new smart technology and data analysis methods, it is important to implement smart water quality management system using internet of things cloud computing and data analysis which will replace the traditional method of water quality management and ensure safe pure drinking water …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 1, 2020 · pp. 6–11 Read article
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Improved Vision Based Algorithm for Deep Web Data Extraction
Abstract: Several systems and languages have been proposed for solving web-data management problems, but none of existing system addresses all the problems from a unified perspective. Most of the existing link analysis algorithms treat a web page as a single node in the web graph. However, in most cases, a web page contains multiple semantics and hence the web page might not be considered as the atomic node. New web content, …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 2, 2015 · pp. 28–37 Read article
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An Ontology-Based Learnable Focused Crawler using Hybrid Latent Semantic Indexing In Data Mining
Abstract: In this paper, we proposed an ontological model of an information system that provides precise definitions of fundamental concepts like Query, Sub-query, and Coupling. Queries are mapped to this space with documents being retrieved based on similarity model. In this Research, OLC (Ontological Semantic Indexing) Performance in document retrieval is investigated and compared with traditional term matching techniques with the help of LSI, LUD, CHOLSKEY Transform, Natural language processing to …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 2, 2015 · pp. 11–17 Read article
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Design and Development of Automatic and Effective Bug Triaging Technique using Data Mining
Abstract: Bug fixing is an important task in bug triaging which aims the assignment of a new bug to the correct developer. The automatic bug triage is used to reduce the time and cost in manual work. In this paper, we focus on different modules and the result is produced by the user module. User is the person who creates the account and fixes the bug assigned to him.Keywords: Bug triage, …
Published in Journal of Web Engineering & Technology · Vol. 3, Issue 1, 2016 · pp. 1–6 Read article
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Review on Weather Events Forecasting Using Data Mining Algorithms
Abstract: Weather events forecasting is the most imperious and stimulatingfunctioning responsibilities supported by meteorological departments worldwide. Amongst all weather events, rainfall plays the most authoritative role in the life of human beings. Human society to a great level depends upon its frequency at various scales. Data mining is a process that mechanically abstracts useful patterns from a given data set. Thecommon algorithms and techniques for rain forecasting like Artificial Neural Networks …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 1, 2018 · pp. 12–22 Read article
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Internet of Things Data Semantics
Abstract: AbstractInternet of Things (IoT) is the latest phenomenon and this revolution in technology may exceed the industrial revolution. Merging internet and things, making them work together, we have developed a powerful technology, called The Internet of Things (IoT). Apart from smart phones and computers, today we have many other devices which are able to communicate through internet like door opener, automated sprinklers, automatic water quality sensors, ATM machines, robotic cars …
Published in Journal of Web Engineering & Technology · Vol. 4, Issue 2, 2017 · pp. 15–21 Read article
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An Analysis into the Issues of Multi-Agent Data Mining
Abstract: Presently instructional establishments compile and store vast volumes of information like student enrollment and attending records, moreover as their examination results. Mining such knowledge yields stimulating info that serves its handlers well. Ascension in instructional knowledge points to the very fact that distilling huge amounts of information needs an additional subtle set of algorithms. This issue led to the emergence of the sphere of Educational Data Mining (EDM). Ancient data …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 3, 2018 · pp. 1–4 Read article
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Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article
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Machine Learning-Based Structure–Property Quantification of Advanced Polymer Composites
Abstract: Advanced polymer composites are widely used in high-performance engineering due to their superior mechanical and multifunctional properties. Accurate structure–property quantification is essential for efficient material design and reducing experimental costs. Existing Machine Learning (ML) approaches often exhibit limited predictive generalization due to inadequate feature discrimination and suboptimal hyperparameter tuning. To address these limitations, the proposed method enhances the ability to capture the complex nonlinear interactions among composite structural descriptors. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Modeling and Analysis of the Impact of Natural Gas Composition Variations on Combustion in a Dual Fuel Compression Ignition Engine
Abstract: The desire to meet rising energy demands while simultaneously adhering to stringent climate policies has propelled advanced combustion technologies and alternative fuels. Natural gas (NG) is an attractive, domestically-available alternative that has been shown to achieve high efficiencies when used on dual fuel engines. However, the composition of NG can vary significantly depending on the source and these variations may detrimentally impact engine operation. To study these effects, a dual …
Published in Journal of Automobile Engineering and Applications · Vol. 5, Issue 2, 2018 · pp. 1–14 Read article
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IoT Based Wireless Data Monitoring System with TFT LCD
Abstract: This study introduces the design, development, and implementation of an Internet of Things (IoT)-based wireless data monitoring system that utilizes a Thin-Film Transistor Liquid Crystal Display (TFT LCD) for real-time visualization. The system is engineered to collect, transmit, and display sensor data wirelessly, making it suitable for a range of practical applications such as industrial automation, healthcare monitoring, and environmental observation. The key goal of this work is to enhance …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 10–18 Read article
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A Smart Framework that Combines Data Mining and Optimization for Different Applications
Abstract: Blending predictive data mining with metaheuristic optimization has become essential for tackling tough, real-world problems across all kinds of fields. Most existing methods stick to fixed algorithms, each focused on a tiny slice of the puzzle, barely budging when new variables or unpredictability show up—especially with messy, human-generated data. So, here’s the idea: a Unified Metaheuristic and Predictive Data Mining (UMPDM) framework that finally connects adaptive search methods with powerful …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 10–14 Read article
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Extending the Mind Share Model by Measuring Media Share of Voice
Abstract: In this study, the author extends Mind Share model construction to use media Share of Voice to measure Mind Share of customer in a particular brand. The logit regression is used to find the impact factors which can predict the media Share of Voice. The empirical data is obtained from the Google search engine, and the cumulative volume of keyword searches is used to make model application. The volume of …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 1, 2022 · pp. 18–22 Read article
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A Novel Approach of Traffic Management in Software Defined Networking Using Internal Controller
Abstract: The complex structure of the current computer networks causes problems in network scalability and management and makes it hard and time-consuming to implement general policies. A new architecture called Software Defined Network (SDN) has been developed to address these problems and challenges. One of the most important issues in SDNs is traffic engineering, which is a good criterion for network performance evaluation. After introducing SDNs and examining traffic engineering and …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 1, 2020 · pp. 22–31 Read article
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Aerodynamic Optimization of UAV Wings Using Machine Learning
Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly deployed across defense, transportation, agriculture, and environmental monitoring, demanding improved aerodynamic efficiency to enhance endurance, stability, and payload capacity. Traditional aerodynamic optimization approaches, relying on computational fluid dynamics (CFD) simulations and wind tunnel experiments, are often time-consuming and computationally expensive. This study proposes a machine learning (ML)-driven framework for the aerodynamic optimization of UAV wing geometries, aiming to significantly reduce design cycles while improving …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 1–7 Read article
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Engineering Hydrology for Flood Control, Adequate Water Resources and Sustainable Environment in Nigeria
Abstract: Life is dependent upon water, and the knowledge of hydrology must be deployed to tackle issues related to floods, water scarcity, and environmental and climate change. This article examines engineering interventions through hydrology for flood control, adequate water resources, and a sustainable environment in Nigeria. The methodology adopted includes a literature review, survey-based studies, and systematic sampling with basic random sampling. Findings revealed that excess precipitation has serious negative effects …
Published in Journal of Water Resource Engineering and Management · Vol. 10, Issue 2, 2023 · pp. 1–10 Read article