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185 articles for “data processing”
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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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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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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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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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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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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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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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AI-Assisted Conversion and Optimization of Analog-to-Digital Signal Transmission forLow-Power IoT and Edge Devices
Abstract: The booming implementation of Internet of Things (IoT) and edge computing devices is requiring theimplementation of efficient signal transmission mechanisms to balance between performance and energyefficiency. The current paper introduces an AI-assisted conversion and optimization system of the analog-to-digital (A/D) signal transmission, aimed at low-power IoT and edge devices. The given strategy combines both machine learning algorithms and adaptive sampling and quantization methods to optimize the A/D conversion process in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article
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Processing–Structure–Property Relationships in Advanced Manufacturing of Functional Materials
Abstract: AbstractMechanical processing is very important in modern production since it changes raw materials into usable parts with exact sizes and qualities. This article looks at the basic methods of mechanical processing, such as cutting, shaping, grinding, milling, and joining. It also talks about how important these methods are for getting things done quickly, accurately, and with the least amount of material possible. Recent advancements, including computer numerical control (CNC) machining, …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 2, 2025 · pp. 25–34 Read article
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A Review on LIFI- Data Transmitting System
Abstract: Using visible light as a channel for high-speed data transfer, Li-Fi (Light Fidelity) is a quickly developing wireless communication technology that offers a highly effective and cutting-edge substitute for traditional radio frequency (RF)-based systems like Wi-Fi and Bluetooth. With the exponential growth of connected devices and the increasing demand for faster and more reliable communication, the RF spectrum is becoming congested, leading to reduced performance and interference issues. In order …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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Leveraging Artificial Intelligence for Traffic Flow Optimization: A Case Study Approach
Abstract: AbstractTraffic congestion poses a significant challenge in urban environments, contributing to economiclosses, increased fuel consumption, environmental pollution, and diminished quality of life. Traditionaltraffic management approaches, such as pre-timed traffic signals and manual interventions, often failto adapt dynamically to fluctuating traffic conditions. This study explores the integration of artificialintelligence (AI) in traffic management to optimize traffic flow and reduce congestion. By leveragingAI-driven predictive models, deep reinforcement learning, and real-time traffic data, …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 37–42 Read article
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Hybrid Signal Processing Framework for Seamless Integration of Analog and Digital Communication Systems in 6G Networks
Abstract: The next 6G phase of evolution of the communication system is expected to deliver data speedexceeding terabits per second, very low latency, and connectivity everywhere among heterogeneous devices. These performance goals can only be met through signal processing architecture paradigm shift. The paper will describe a Hybrid Signal Processing Framework (HSPF) which combines the analog and digital communication methods to leverage the complementary benefits of the two spheres. The framework …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 28–42 Read article
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Hybrid Signal Processing Framework for Seamless Integration of Analog and Digital Communication Systems in 6G Networks
Abstract: The next 6G phase of evolution of the communication system is expected to deliver data speed exceeding terabits per second, very low latency, and connectivity everywhere among heterogeneous devices. These performance goals can only be met through signal processing architecture paradigm shift. The paper will describe a Hybrid Signal Processing Framework (HSPF) which combines the analog and digital communication methods to leverage the complementary benefits of the two spheres. The …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 Read article
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Fog Computing Architecture and Deployment in IoT
Abstract: The relentless proliferation of Internet of Things maneuvers generates colossal volumes of data at the network edge, straining traditional cloud-centric paradigms with inherent limitations in latency, bandwidth, resilience, and privacy. This necessitates a paradigm shift towards distributed intelligence. Fog Computing arises as a pivotal architectural paradigm, extending computational, storage, and networking capabilities closer to the data source, thereby mitigating latency, reducing bandwidth consumption, and enhancing real-time processing capabilities for critical …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 31–39 Read article