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625 articles for “data engineering”
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Case Study on the Limitations of Prefabricated Building Technology in Ethiopian Building Industry: The Case of Addis Ababa
Abstract: AbstractWorldwide, prefabricated method of construction (PMC) is the most practicable and effective method of construction. However, in Ethiopia it is not further growing and the construction sector depends on conventional method of construction (CMoC). On the contrary, the building construction industry in Ethiopia is increasing due to tremendous growth in population and fast urbanization. The purpose of this study was to investigate the critical causes that limit the application of …
Published in Journal of Structural Engineering and Management · Vol. 5, Issue 1, 2018 · pp. 11–17 Read article
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Trends and Applications of Artificial Intelligence in Mechanical Engineering: A Review
Abstract: Artificial Intelligence (AI) has become a revolutionary force across various fields, including mechanical engineering, where it is redefining traditional approaches to design, manufacturing, maintenance, and overall system optimization. This review aims to provide a comprehensive introduction to AI and explore its diverse applications within the domain of mechanical engineering. The study begins with a foundational overview of AI, including key concepts such as machine learning, neural networks, deep learning, and …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 30–35 Read article
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Role and Efficacy of Artificial Intelligence in Cyber-security
Abstract: The internet is growing and so is the cyber world, more and more people, companies, organizations and governments, etc., who were previously ignorant or just didn’t want to enter the digital world have now started to reap its benefits as technology advances and provides more solutions to the existing real-world problems. This has unfortunately also increased the number of attackers, whether they may be cybercriminals, hacktivists, sponsored attackers or an …
Published in Journal Of Network security · Vol. 11, Issue 3, 2023 · pp. 1–9 Read article
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Implement Artificial Intelligence and Machine Learning for Engineering Design, Predictive Modeling, and Optimizing Polymer Nanocomposites
Abstract: Polymer nanocomposites are high performance engineered materials obtained by inclusion of nano-sized fillers into the polymer matrix to enhance mechanical, thermal, electrical, barrier and functional properties. However, the complex and non-linear interactions among polymer chemistry, nanofiller characteristics, filler concentration, dispersion, interfacial bonding and processing conditions make it challenging to anticipate and maximize their properties. Artificial intelligence (AI) and machine learning (ML) offer powerful data-driven solutions to these difficulties by establishing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Use of E-Journals in Engineering College Libraries Located in IT-Highway, Chennai
Abstract: ABSTRACTThis paper discusses use of e-journals in the engineering colleges located in IT-Highway, Chennai. The data were collected from the respondents by using a structured questionnaire. Now a day’s e-journals give many chances to users that not much available predecessor. Since the enormous potential of e-journals, not only research institutions academic institutions are also using their purpose. Questionnaire-based survey method has been used with undergraduate, postgraduate, and faculty of engineering …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 2, 2017 · pp. 11–17 Read article
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Cloud-driven Fraud Detection: Evaluating Decision Tree and Random Forest Classifiers for Credit Card Transaction Security
Abstract: With the alarming rise in global financial fraud, necessitating substantial annual losses, modern techniques for fraud detection are continuously evolving across various business domains. Fraud detection involves constant monitoring of user activities to estimate, perceive, or prevent undesirable behaviour. Cloud Computing emerges as a promising solution, accelerating application deployment, fostering creativity and innovation, reducing costs, and enhancing overall business acumen. This study introduces a cloud-driven approach to fraud detection, specifically …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 13–27 Read article
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Mechanical Strength Prediction of Nano-Silica Concrete Composites Using Machine Learning Techniques
Abstract: Nano-silica, or nanosilica, refers to silicon dioxide nanoparticles, which are a kind of silica (SiO₂) with diameters that often fall below 100 nanometers. This nanomaterial has attracted considerable attention because of its distinctive characteristics and diverse array of uses, notably in augmenting the performance of materials such as concrete. The integration of nanoparticles with cementitious matrix in nano-silica concrete offers a viable approach to improving the mechanical characteristics and longevity …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 963–973 Read article
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Real-Time Air Quality Prediction Using IoT-Integrated Polymer Sensors and Recurrent Neural Networks
Abstract: Real-time air quality monitoring remains a critical challenge in urban environments, where traditional sensor infrastructures often suffer from limited responsiveness, poor scalability, and high deployment costs. The increasing prevalence of NO₂ pollution, a key contributor to respiratory and cardiovascular ailments, demands advanced sensing platforms capable of both accurate detection and predictive inference. Existing methods either rely on rigid electronic sensors lacking adaptability or on statistical forecasting models that fail to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 332–347 Read article
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Rainfall-runoff Modeling using HEC-HMS Hydrologic Model for Guder River Watershed, Blue Nile Basin, Ethiopia
Abstract: Rainfall-runoff modeling is important for a number of hydrologic applications including flood forecasting, water resource planning and management. This study presents the result of a watershed rainfall-runoff modeling for Guder river watershed having area of 6597 km 2 using Hydrologic Engineering Center-Hydrologic Modeling Systems (HEC-HMS). The watershed runoff is varying spatially and temporally due to manmade factors and natural factors on the watershed. These issue needs efficient water resource planning …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 62–77 Read article
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Accessing Secured Data in Cloud Computing Environment
Abstract: Number of industries using cloud computing has enlarged intensely over the last few years due to the attractive topographies such as scalability, flexibility, wild start-up and low costs. Services provided over the web are ranging from using earner’s software and hardware for dealing security and other issues. Some of the biggest challenges at this point are; providing discretion and data security to subscribers of public cloud servers. An efficient encryption …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 3, 2015 · pp. 7–13 Read article
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A Potential Framework to Secure Web Application and Database against SQL Injection Attacks
Abstract: With the rise of the Internet, web applications have become one of the most important communication channels between various kinds of service providers and clients on the Internet. The use of web-based services (such as online banking, online shopping, web-based email etc.) has become a wide-spread routine in today’s economic and social life. SQL injection attacks are the dominating type of attack on web based applications. It is the act …
Published in Journal of Web Engineering & Technology · Vol. 3, Issue 1, 2016 · pp. 27–34 Read article
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Big Data Management: Theory & Practice
Abstract: In this paper, Big Data Management is studied. There is finite number of information in Big Data and correspondingly its method of analysis exists. Big Data Analysis (BDA) method is proposed in this paper. A compact method (K-Means Cluster, Generalised K-Means Cluster, C-Means, Fuzzy Means, Fuzzy Numbers, Fuzzy Set, Fuzzy Logic, Neural Network, Genetic Algorithm) based big data analysis is presented in this paper. There are four models are presented …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 2, 2020 · pp. 13–22 Read article
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Candida auris—An Emerging Superbug
Abstract: Fungi are eukaryotic organisms that are found everywhere on Earth. Usually, the optimum conditions that are required for a fungus to grow are acidic pH range of 3–4 and temperature of 25–35 °C. But recently, researchers have found some strains of fungi that are sensitive to acidic pH and low temperature of 25–35 °C whereas they are resistant to basic pH and high temperature. These strains include the species of …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 11, Issue 3, 2021 · pp. 1–6 Read article
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Role of Artificial Intelligence in Quantum Materials Research
Abstract: Quantum materials have emerged as a transformative class of advanced materials due to their extraordinary electronic, magnetic, optical, and topological properties governed by quantum mechanical phenomena. These materials are expected to revolutionize next-generation technologies such as quantum computing, spintronics, superconducting electronics, nanoelectronics, intelligent sensing systems, and energy-efficient devices. However, conventional methods for discovering and optimizing quantum materials are often expensive, time-consuming, and computationally intensive because of the enormous complexity of …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 · pp. 13–27 Read article
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AI and Big Data for Optimized Water Resource Management in Arid Regions
Abstract: Water scarcity in arid regions is an escalating global challenge, driven by climate change, population growth, and increasing demands from urban, industrial, and agricultural sectors. Effective water resource management (WRM) is crucial for sustaining livelihoods, economic stability, and infrastructure resilience. Emerging technologies such as artificial intelligence (AI), machine learning (ML), and big data offer innovative solutions for optimizing water use, enhancing efficiency, and improving sustainability in water-scarce environments. This paper …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–5 Read article
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Mixture Probability with Rayleigh Model and Application in Reliability
Abstract: Single Rayleigh distribution (RD) is a unimodal two tailed probability distribution. It is useful for the data which spreads equally to the two sides of its modal value. Some properties of the Rayleigh distribution have been discussed in this paper. Mixture distributions arise in engineering, economics, sciences, biosciences, medical sciences and play vital role. While modeling a great variety of data, a mixture model has been defined (investigated) with mixture …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 3, 2018 · pp. 17–27 Read article
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Data-Driven Machine Learning Approach for Vehicle Fuel Economy Prediction and Performance Monitoring Using Real-World OBD Data
Abstract: Modern passenger vehicles generate large volumes of operational data through On-Board Diagnostics (OBD) systems, enabling continuous observation of vehicle performance under real-world driving conditions. However, much of the existing research mainly analyses previously recorded data and does not provide predictive mechanisms for monitoring vehicle performance under dynamically varying operating conditions. This study presents an AI and machine learning–based method for predicting and monitoring real-world vehicle performance and fuel economy using …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 47–66 Read article
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Characteristics of Data Warehouse
Abstract: Innovation is a critical factor in any modern business's competitiveness. This study presents the systematized results of research on data warehouse technology with automatic data replenishment from heterogeneous sources. It is suggested that the data warehouses contain information about objects with significant innovative potential. Data warehouse is a database that stores information geared towards meeting decision-making needs. It is a collection of decision-support technologies aimed at empowering knowledge workers (executive, …
Published in Journal of Advanced Database Management & Systems · Vol. 9, Issue 1, 2022 · pp. 28–32 Read article
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Leveraging Biosensors for Enhanced Family Dynamics: Strategies for Mental Health and Well-being in the Digital Age
Abstract: This study investigates the integration of biosensors as innovative solutions for optimizing family dynamics and promoting mental health and well-being in the digital era. By exploring the intersection of biosensor technology with family interactions, communication patterns, and conflict resolution strategies, this study offers practical insights and recommendations for leveraging biosensors to strengthen familial relationships and support individual mental health. Through a multidisciplinary approach, combining psychology, sociology, and biosensor engineering, this …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 1, 2024 · pp. 9–18 Read article
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Input of Effective Cost Control in the Management of Construction Works and Architectural Excellence in Nigeria
Abstract: Effective cost control is crucial to the management of construction projects and this can affect the management of construction works and architectural excellence. This research investigated into the essence cost control in project management and excellent architectural delivery despite scarce resources for the optimum benefits of the client, civil engineers and other parties to a construction contract. Secondary data collection was based mainly on the assessment of related past literature …
Published in Journal of Construction Engineering, Technology & Management · Vol. 9, Issue 3, 2019 · pp. 6–15 Read article