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402 articles for “data processing”
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Future Trends in Web Analytics: A Comprehensive Review
Abstract: This review paper explores future trends in web analytics, focusing on their impact on business and technological advancements. The paper discusses critical areas such as advanced data analytics, mobile analytics, offline and online data integration, privacy protection, and data visualisation. Drawing upon scientific literature, the paper highlights the significance of artificial intelligence, machine learning, and sentiment analysis in deepening data insights. Integrating offline and online data and the growing importance …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 12–17 Read article
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Performance Assessment of Lightweight Cryptography in Image Processing for IoT/WSN Applications
Abstract: The Internet of Things (IoT) can serve as an interface to small processing tools for future technology.More communication data is required and safety of information can be dangerous. Pinnacles of dataand security of information can be a risk. This gadget is basically a small, low power consumption inthis engineering. Many encryption rounds are basically an abuse of the Gadget vitality criteria.Unrelenting calculation as it may require uprightness, conceivable compromise. It …
Published in International Journal of Computer Aided Manufacturing · Vol. 7, Issue 1, 2021 Read article
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An Overview on Metal Processing using Machine Learning
Abstract: Metalworking, which is an important part of modern industry, includes a wide range of steps, such as shaping and casting the metal, machining it, and riveting it. The industry has always relied on trial and error and other empirical methods, but machine learning (ML) is now causing a big change. It is expected that this change will lead to higher production, better product quality, and better use of resources. The …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 43–53 Read article
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New Data Analysis Method based on L2-Metric over Fuzzy Logic and Genetic Algorithm
Abstract: ABSTRACT L2-Metric is studied over Fuzzy Logic and Genetic Algorithm for analyzing the data. The characterization of L2-metric is generalised over the fuzzy logic and genetic algorithm by isomorphism. This paper presents a new technique of data analysis by Genetic Algorithm (GA), L2 metric and Fuzzy Logic. GA is the process for generating the best variable for the next operation. The data of student’s academic performance is studied as the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 5, Issue 1, 2019 · pp. 13–18 Read article
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An Overview on Harmonic Intelligence: BridgingMicrowave Sensing and AI-Driven IoT for Autonomous Decision-Making
Abstract: As the Internet of Things (IoT) ecosystem expands into complex industrial and urban environments, the demand for high-fidelity data acquisition and near-instantaneous edge processing has reached a critical juncture. Traditional optical and infrared sensors often falter under adverse conditions, such as dense smoke, occlusions, or low-light environments. This paper explores the transformative potential of microwave signals—leveraging their unique ability to penetrate non-metallic materials and operate independently of ambient lighting—as the …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 1, 2026 · pp. 1–8 Read article
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Data Analytics and Visualization for Unveiling Insights from Digital Twins: Trends and Challenges
Abstract: igital twins represent a paradigm shift in engineering analytics and simulations. As virtual replicas of physical assets and processes, digital twins require the confluence of massive amounts of data, predictive analytics, and visualization capabilities to unlock their full potential. This study provides a comprehensive overview of the role of data analytics and visualization techniques in extracting value from digital twin data. An in-depth literature review analyzes current research trends and …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 2, 2023 · pp. 9–19 Read article
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Comprehensive Review of Processes, Materials, Developments, and Challenges of Additive Manufacturing
Abstract: Abstract Additive Manufacturing (AM), or 3D printing as it is known widely, has evolved significantly from being a prototyping technology to an end-use production technique across different industrial sectors. This groundbreaking technology allows for the direct creation of intricate, user-designed, and high-performance components through sequential addition of material from digital models, which abolishes most of the design and production constraints of conventional manufacturing. Its application is underscored by its pivotal …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 2, 2025 · pp. 6–24 Read article
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Identifying Fake News Using Big Data
Abstract: In today's world, where digital information spreads swiftly, the rise of fake news poses a threat to society. This research paper presents a method to address this issue by employing data analytics. To address the issues of misinformation, public manipulation, and threats to democracy we propose a framework. Our strategy incorporates advanced methodologies, including natural language processing, machine learning, and network analysis. Using these techniques, we examine various data sources …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 7–14 Read article
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A LOOK AT ANALOGUE SIGNALS
Abstract: Analogue signals are what classic communication and signal processing systems are built on. These signals are necessary for showing things that happen in the real world, such sound, light, and temperature. They change all the time. In electronics and communication, signals are necessary for sending information from one place to another. There are two main types of signals: analogue and digital. Analogue signals use continuous and smoothly changing waveforms to …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 17–27 Read article
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Increasing an overall equipment effectiveness visibility and analyzing in a manufacturing industry
Abstract: The exploration for improving productivity in the current global competitive environment has created a need for rigorously defined performance measurement system in a manufacturing process. OEE, a vital KPI of TPM is used to evaluate performance and productivity of the machine. OEE is one of the performance evaluation methods that are most common and popular in the production industries. This paper tries to evaluate the OEE of machines in a …
Published in International Journal of Manufacturing and Materials Processing · Vol. 2, Issue 2, 2016 · pp. 89–103 Read article
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A Study on Sensors in Metallurgy Applications
Abstract: The relentless pursuit of efficiency, quality, and sustainability within the metallurgical industry hinges on unprecedented control over its often extreme and dynamic processes. This control is progressively realized through the strategic deployment of advanced sensor technologies. This paper explores the pivotal role of sensors in modern metallurgy, spanning from the raw material stage to the final product. It highlights how sensors, by providing real-time, accurate, and often non-intrusive data, are …
Published in International Journal of Metallurgy and Alloys · Vol. 11, Issue 2, 2025 · pp. 14–26 Read article
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Advanced Magnesium-Based Metallic GlassComposites for Biomedical Implant Applications: AMachine-Learning-Informed Approach
Abstract: Magnesium-based bulk metallic glasses (Mg-BMGs) combine strength, low density, and tunable degradability. Their amorphous matrix has a small plastic process zone. This zone is only about 4 μm wide. A small process zone keeps most glasses brittle. Adding a second phase is the best fix. This chapter extends Mg-BMGs to true composites. We call these Mg-based bulk metallic glass composites, or Mg- BMGCs. The chapter covers matrix engineering and interfacial …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 2, 2026 · pp. 48–65 Read article
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Application of Building Information Modelling (BIM) in IGBC Certified Green Building Project: Transforming Construction Sustainability
Abstract: Abstract Construction industry sustainability goals can be achieved through implementation of Building Information Modelling (BIM), which simultaneously contribute to Lifecycle Cost Assessments of building projects. BIM’s integrated approach to design, construction, and facility management contributes to more sustainable building practices by enabling better decision-making throughout a project’s lifecycle. Design IGBC certified green building project with the help of BIM to analyse key aspects of sustainable development, including energy efficiency, water …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 Read article
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Analysis and Implementation of Watermarking with Steganography Using DWT-LSB Technique
Abstract: ABSTRACT The use of images, text and video has become inevitable in today’s rapidly advancing and growing digital world. It has been greatly assisted by the contributions of information technology in bringing about state of the art high speed and secure transmission and reception systems. “Watermarking” is the process of hiding digital information in original data, to increases robustness and security using the different technique like Discrete Wavelet Transform (DWT). …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 5, Issue 1, 2019 · pp. 10–19 Read article
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The Transformative Power of AI and Machine Learningin Education
Abstract: A revolutionary factor that evolves how learning is experienced and how educational systems function is the incorporation of artificial intelligence (AI) and machine learning (ML) in the classroom. Data- driven decision-making, administrative work automated processes, real-time feedback, and education personalization are all made possible by AI and ML technologies, which are no longer just found in research and industry. This study addresses the various ways that AI and ML can …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Unlocking Insights, Optimizing Processes: A Review Of Machine Learning In Action
Abstract: Machine learning (ML) has become a disruptive technology with applications in many different fields and sectors. Machine learning techniques are transforming the way data is examined, patterns are found, and decisions are made in a variety of industries, including healthcare, finance, manufacturing, and transportation. ML is improving drug discovery, treatment strategies, and diagnostics in the healthcare industry. In the financial sector, this means maximizing risk mitigation, credit scoring, and fraud …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 1, 2024 · pp. 14–22 Read article
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A study to asses the effectivenesss of multifactorial interventon to improve the knowledge & practice regarding care of patients with stroke among caregivers in selected ward areas of pgims, rohtak
Abstract: The aim of this study was to assess whether involving patient caregivers in the care of stroke patients would influence their caregiving practices compared to caregivers who were not actively involved in the care process. The study was based on the nursing process model, which draws from Ludwin Von Bertalanffy's General System Theory of Nursing. A quasi-experimental, pretest-posttest design was employed to evaluate the impact of caregiver participation in the …
Published in International Journal of Neurological Nursing · Vol. 11, Issue 1, 2025 · pp. 22–49 Read article
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Analysing Seismo-electromagnetic Waves through Wavelet Transformation
Abstract: This research has presented a sophisticated methodology for studying lithosphere-ionosphere coupling phenomena, emphasising the identification of pre-seismic activity through seismo-electromagnetic signal processing. The application of an advanced electric field monitoring device, coupled with the precision of the Discrete Wavelet Transform (DWT), has allowed us to uncover nuanced patterns in the ULF range, specifically related to seismic events during the Kumamoto Earthquakes. The detailed statistical analysis further supports the significance of …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 9, Issue 2, 2023 · pp. 10–17 Read article
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A Comprehensive Review of IoT-Enabled RC Boats for Real-Time Water Pollution Monitoring
Abstract: For all people today, drinking water is the most significant and precious resource. Real-time operations present new difficulties for drinking water utilities. Due to factors including dwindling water supplies, population growth, deteriorating infrastructure, etc., this problem developed. Better methods of checking the quality of the water are therefore required. The traditional approach to measuring water quality entails manually collecting water samples at various sites, followed by laboratory analytical procedures to …
Published in International Journal of Microwave Engineering and Technology · Vol. 8, Issue 2, 2022 · pp. 20–27 Read article
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NOVEL TECHNIQUES FOR ENERGY CONSERVATION IN WIRELESS SENSOR NETWORKS (WSN)
Abstract: The rapid growth of wireless services in recent years is an indication that considerable value is placed on wireless networks. Wireless devices have most utility when they can be used anywhere at any time. Yet one of the greatest challenges is limited energy supply. In the recent years, Wireless Sensor Networks (WSN) has gained good attention from both the research community and actual users. As sensor nodes are generally battery-energized …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 1, Issue 1, 2015 · pp. 7–26 Read article