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625 articles for “data engineering”
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Credit Card Fraud Detection Using Deep Learning Techniques
Abstract: Credit card frauds have become very common nowadays and lot of cases has been reported in the recent past with the increase in cybercrimes. Online credit card frauds can be efficiently detected exploiting deep-learning techniques. This paper proposes two unsupervised learning algorithms namely Auto encoder and RBM (Restricted Boltzmann Machine) that acquire information from new transactions and estimate anomalous patterns from these transactions to accurately predict number of credit card …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 1, 2020 · pp. 30–47 Read article
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Incorporating Industrial Safety Management into Civil Engineering Works for Health and Environment
Abstract: Industrial safety management is an important tool for protecting workers, assets, and environment because it involves risk assessment, hazard control, emergency preparedness and other important practices that can enhance civil engineering construction. Civil engineering projects such as roads, bridges, dams, and water supply systems present complex occupational and environmental risks, from physical accidents on-site to ecological degradation. This paper critically examines the integration of industrial safety and management strategies into …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 25–41 Read article
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OBD-II Big Data–Driven ML and AI-Based Virtual Sensing for Fuel Economy, Component Health, and Carbon Intelligence
Abstract: The rapid growth of connected vehicles has led to the large-scale availability of high-frequency On-Board Diagnostics II (OBD-II) data; however, much of this data remains underutilised, as existing studies and commercial systems typically address fuel economy, maintenance, or emissions in isolation or rely on additional physical sensors. Such fragmented and sensor-dependent approaches limit scalability and increase system cost, particularly in high-volume and resource-constrained vehicle markets. To address this gap, this …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 41–52 Read article
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Artificial Intelligence-Assisted Multi-Objective Optimization of Agricultural Biomass-Reinforced Polymer Composites
Abstract: Agricultural biomass can reduce the environmental burden of polymer composites, yet its heterogeneous structure creates competing effects on strength, moisture resistance, density, and process ability. This study developed an artificial intelligence-assisted framework for balanced composite formulation. Experimental data of agricultural biomass reinforced polymer composites were gathered, harmonized and validated using leakage-controlled validation. The mechanical and physical properties were predicted by artificial neural networks and conventional regression models. Explainable analysis gave …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 202–222 Read article
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Multiple Fragment Information Gathering Using Accumulating Framework
Abstract: The approach of use mobile sink, has been adopted in wireless sensor networks ( WSN) and wireless sensor and actor network( WSAN) to achieve advanced efficiency in terms of gathering data from sensors. Mobility-assisted data collection brings in new opportunity to improve the energy efficiency sensor nodes. However, mobile sink also introduces new challenges such as large data collection tansy. A lot of research efforts have been devoted to reduce …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 3, 2015 · pp. 14–18 Read article
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Confident but Wrong: A Lifecycle Analysis of Hallucination in Large Language Models Understanding AI's Confidence Problem
Abstract: A Large Language Model (LLM) is likely to produce sentences that are fluent and confident in many instances, but completely wrong. In many cases a Large Language Model (LLM) will produce a fluent and confident sentence that is completely incorrect. This review tries to analyze this phenomenon using the most recent literature regarding natural language generation, computational learning theory and benchmark experiments. The argument is that it is not a …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Air Quality Monitoring System
Abstract: With advancement of technology mankind is facing newer problems at personal, social and environmental levels. Urbanization of world culture has created serious health concerns of citizen of smart cities. Increasing level of air pollutants such as carbon monoxide, carbon dioxide, sulphur oxide, nitrous oxide has impacted on personal health of citizens of world. So the quality of air and the amount of air pollutants need to be measured in order …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 1, 2019 · pp. 6–10 Read article
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Evaluation of Heat Flow Parameters of Resistance Spot Welding for Stainless Steel SS304
Abstract: Resistance spot welding is a popular metal joining process, which is widely used in automobile industry, household and domestic appliances manufacturing industry and fabrication industry like air craft manufacturing industries [1, 2]. Experimental investigation was carried out on inner and outer sleeve, which is used in stove manufacturing industry. Material taken was stainless steel SS304 having thickness 0.5 mm for experiment. Experimental investigation was based on two defects, which are …
Published in Trends in Mechanical Engineering & Technology · Vol. 6, Issue 2, 2016 · pp. 1–10 Read article
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Real-Time Multilanguage Platform with Encryption
Abstract: The proposed system, titled “Real-Time Multilanguage Platform With Encryption”, is designed to enable fast, reliable, and secure communication across various languages without relying on any third-party APIs. It utilizes a built-in audio-to-text conversion mechanism that processes spoken input using Python-based libraries like Speech Recognition or OpenAI’s Whisper, ensuring high accuracy in transcriptions. Once the audio is converted to text, the platform employs an offline translation engine to convert the transcribed …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 2, 2025 · pp. 1–7 Read article
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An Enhanced Application Oriented Predictive Analytic using Optimal Deep Learning Model
Abstract: In order to presents better Predictiveanalytic models of different data using various machine learning algorithms. The data prediction is developed on various applications. These applications are facing many challenges while collecting data and data selection etc. The proposed prediction model involves several phases like (a) Data acquisition, (b) Data cleaning, (c) Data normalization, (d) Optimal Feature selection, and (e) Prediction. The optimal feature selection will be accomplished by a new …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 2, 2020 · pp. 5–10 Read article
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Implementation of OBD-II Vehicle Diagnosis System for Improved Safety
Abstract: A car is no more a luxurious belonging of a person rather it has become an integral part of a modern family. One always prefers a car for safe transfer to one’s destination at low cost, with comfort and predictable travel outcome. The approach here presents a new car-data collection platform based on existing network infrastructure, internet, to collect driving data of vehicles remotely. Firstly, the vehicle data is monitored …
Published in Recent Trends in Electronics Communication Systems · Vol. 4, Issue 1, 2017 · pp. 17–21 Read article
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Scholarly Communications of Annamalai University on Web of Science in Global Perspective: A Scientometric Assessment
Abstract: Annamalai University has a prolific research output spanning various fields such as agriculture, medicine, engineering, humanities, and social sciences. With state-of-the-art facilities and dedicated faculty, the university consistently produces impactful research findings that contribute to advancements in knowledge and address societal challenges. Its research endeavors are characterized by innovation, interdisciplinary collaboration, and a commitment to excellence, making Annamalai University a significant hub for cutting-edge research in India and beyond. The …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article
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A Review on Advancement in Sensor Technology in Structural Health Monitoring System
Abstract: Structural health monitoring (SHM) has been in existence for a century but gained attention in near past for the diagnostics and safe use of the structures. Different types of civil structures we use every day like bridges tunnels pipelines and proper monitoring is required for these structures for the long life of them. Lessons learns from the past failure of structures invented the need of structural health monitoring in the …
Published in Journal of Structural Engineering and Management · Vol. 2, Issue 3, 2015 · pp. 1–7 Read article
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A Machine Learning Approach to Forecasting Outcomes in Limited Overs Cricket
Abstract: This study explores the application of machine learning techniques to forecasting outcomes in limited overs cricket matches, with a particular focus on One Day Internationals (ODIs). The research investigates how classification algorithms can be effectively utilized to analyze both contextual and dynamic factors that influence match results, including venue details, toss decisions, team strength, and historical performance records. By employing a structured methodology encompassing feature selection, data preprocessing, model training, …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 09–19 Read article
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Injection Pressure Optimization for Non-edible Biodiesel Blends in CRDI Engines: A Comparative Study
Abstract: The growing demand for clean and sustainable energy has increased interest in biodiesel produced from non-edible oil sources. These fuels are renewable, biodegradable, and do not compete with food resources. However, the effective use of biodiesel blends in modern diesel engines requires proper control of fuel injection parameters, particularly injection pressure. In common rail direct injection (CRDI) engines, injection pressure strongly influences spray formation, air–fuel mixing, combustion behaviour, and exhaust …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 24–34 Read article
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A Bibliometric Review of Sustainable Engineering of Last 30 Years: Emerging Circular and Green Polymer Science
Abstract: The application of sustainable engineering is a ground-breaking strategy for the long-term enhancement of the human condition. A holistic understanding is required for inviting more research on this topic therefore, this study intent to provide a decentralized framework with the aid of a bibliometric evaluation to examine the research trend on sustainable engineering. The study also contributes to the body of literature by providing insights into a robust, reliable thematic …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 405–416 Read article
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Implementation of Laplace Transform in Various Science and Engineering Field and Relation of Laplace Transform with Z-Transform
Abstract: In this paper, applications of Laplace Transform and Z-transform in different science and engineering fields have been analyzed. The applications of Laplace Transform are useful in various areas of electrical engineering, control engineering, physics, signal processing, automation engineering. Z-transform is used to convert discrete time domain signal into discrete frequency domain signal. It has wide range of applications in mathematics and digital signal processing. It is mainly used to analyze …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 2, 2019 · pp. 36–40 Read article
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A Survey on Challenges of Optical Fiber
Abstract: AbstractThis study affords an overview of destiny research activities within the field of optical telecommunications. The year 2020 is considered a milestone, when the potential of optical communication links via a single optical fiber will attain the bodily hindrance referred to as the “fiber wall”. It is anticipated that advances in structures with a fashionable, single-mode, optical fiber, which permits increasingly better transmission capacities because of elevated scientific studies, will …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 3, 2019 · pp. 1–5 Read article
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Python: Empowering Data Science Applications and Research
Abstract: It was in 1991 that the first mention of Python came to light. Since it is one of the best programming languages, it is widely used in the data analytics industry. It is speedy, easy to use, and can smoothly alter data with no hiccups. It aids in the processes of data analytics generally, such as data collection, analysis, modelling, and visualization. Python stands out from other languages because it …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 27–33 Read article
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Dynamic Modeling and Simulation of Multi-Body Mechanical Systems: A Comprehensive Review of Methods, Tools, and Applications
Abstract: The dynamic modeling and simulation of multi-body mechanical systems (MBS) form a cornerstone in modern mechanical engineering, enabling in-depth analysis of the kinematic and kinetic behaviors of interconnected rigid and flexible components. MBS are foundational to a range of critical applications, from automotive suspensions and aerospace mechanisms to robotics and biomechanical structures. As system complexity and performance requirements increase, accurate and scalable modeling techniques are essential for both design validation …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 35–42 Read article