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509 articles for “detection”
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Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation
Abstract: Environmental monitoring requires intelligent, scalable, and autonomous instrumentation systems capable of continuously sensing, processing, and communicating heterogeneous data under dynamic conditions. This study proposes an Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation, integrating distributed sensor nodes, edge computing, multi-agent collaboration, adaptive data fusion, and intelligent decision-making to achieve reliable real-time monitoring of environmental parameters. Each sensor agent autonomously performs local sensing, anomaly detection, energy-aware communication, and cooperative information exchange …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Establishment of a Sensitive LC-MS Method for Pharmacokinetic Evaluation of Decitabine and Cedazuridie in Rat Plasma
Abstract: A simple, rapid, and highly sensitive liquid chromatography–mass spectrometry (LC–MS) method was successfully developed and validated for the simultaneous determination of Decitabine and Cedazuridine in plasma matrices. The method demonstrated excellent linearity across the selected calibration range, with correlation coefficients (R²) consistently exceeding 0.999 for both analytes, indicating strong analytical performance. Method validation was carried out in accordance with ICH Q2(R2) and US FDA bioanalytical method validation guidelines, ensuring compliance …
Published in International Journal of Green Chemistry · Vol. 12, Issue 1, 2026 · pp. 34–42 Read article
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Establishment of a Sensitive LC-MS Method for Pharmacokinetic Evaluation of Decitabine and Cedazuridie in Rat Plasma
Abstract: Abstract A simple, rapid, and highly sensitive liquid chromatography–mass spectrometry (LC–MS) method was successfully developed and validated for the simultaneous determination of Decitabine and Cedazuridine in plasma matrices. The method demonstrated excellent linearity across the selected calibration range, with correlation coefficients (R²) consistently exceeding 0.999 for both analytes, indicating strong analytical performance. Method validation was carried out in accordance with ICH Q2(R2) and US FDA bioanalytical method validation guidelines, ensuring …
Published in International Journal of Green Chemistry · Vol. 12, Issue 1, 2026 · pp. 34–42 Read article
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Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
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AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Smart Risk Management: Power BI in Modern Construction Practices
Abstract: Abstract— In the evolving domain of construction management, data-driven decision-making plays a pivotal role in ensuring successful project execution. This paper presents a comprehensive approach to risk identification, analysis, and mitigation using Microsoft Power BI. By integrating Failure Mode and Effects Analysis (FMEA) and risk data extracted from periodic reports (PPR, DPR, WPR), we demonstrate how Power BI's data visualization capabilities can transform raw datasets into actionable insights. The generated …
Published in International Journal of Construction Engineering and Planning · Vol. 12, Issue 1, 2026 · pp. 45–53 Read article
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IoT-Based Real-Time Beam Deflection Monitoring for Structural Integrity
Abstract: Abstract Structural health monitoring is essential to ensure the safety of civil engineering constructions. Conventional laser-based methods of deflection measurement are expensive and invasive, especially for historical buildings and hostile environments such as mines and caves. This project aims to design a low-cost, non-invasive IoT-based system using strain gauges to monitor beam deflection in real-time, providing early warning for any potential structural damage. The system is based on using strain …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 1, 2026 Read article
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Review in Dapsone and Sulpha Derivatives with their Applications in (Fertilizer, Agrochemical, Industrial, Biochemical) Fields
Abstract: Dapsone structure exposed in the premature twentieth century, German researcher Paul Ehrlich was acquiring notions of discriminating harmfulness established fundamentally on the talent of individual rinses to destroy microorganisms. Gerhard Dumac is subsequent secured a Nobel Prize intended for his attempts, accomplished a breakthrough in 1932 with the detection of the antiseptic ingredient Prontosil enflamed (actinodin sulfonamide). Additional enquiry of the elements complicated unfastened the technique for a sulfa structure …
Published in International Journal of Agrochemistry · Vol. 12, Issue 1, 2026 Read article
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EXIT Chart Analysis and PerformanceEvaluation of Cooperative NOMA Systems
Abstract: This paper conducts a comprehensive performance analysis of Cooperative Non-Orthogonal Multiple Access (NOMA) systems through the application of Extrinsic Information Transfer (EXIT) chart analysis, a tool widely used for visualizing the iterative decoding process in communication systems. The proposed system integrates Successive Interference Cancellation (SIC), Multi-User Detection (MUD), and spreading techniques to enhance the reliability and efficiency of data transmission. In this cooperative framework, the near user (NU), having stronger …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 21–30 Read article
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Gourmet Sage Using Deep Learning With Calories Chart
Abstract: Gourmet Sage via Deep Learning with Calories Chart is an innovative system that merges advanced deep learning technology with nutrition science to help users make healthier dietary choices. By leveraging YOLOv8, a cutting-edge object detection model, the system allows real-time identification of food items, estimating their calorie content and ingredient composition with remarkable accuracy. It goes beyond detection by providing a comprehensive nutritional breakdown, including macronutrients (proteins, fats, carbs) and …
Published in International Journal of Image Processing and Pattern Recognition Read article
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Intelligent IoT-Based Parking System for Smart City Applications
Abstract: Abstract Modern urban life is increasingly disrupted by one of its most overlooked problems: inefficient and outdated parking systems. From long vehicle queues to wasted time and fuel, the lack of automation in parking management continues to create unnecessary stress for both drivers and facility operators. The absence of intelligent monitoring often results in poor space utilization and chaotic movement within parking areas. This research aims to solve that problem …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 2, 2025 · pp. 18–24 Read article
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Screening the Effects of Asphalt Plant Discharge Water on Germination Indices of Some Edible Vegetables
Abstract: The study aims to determine the effects of asphalt plant discharge water containing different compounds of polycyclic aromatic hydrocarbons on germination parameters of viable seeds of Telfairia occidentalis Hook. F, Corchorus olitorius and Solanum macrocarpon L. in a screen house. The experiment was laid out in a completely randomized design with five replicates. A 300 ml of asphalt plant discharge water obtained from the three different locations (T2, T3, and …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 2, 2025 · pp. 22–35 Read article
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Nano-Sensors in Cancer care: A Study
Abstract: Cancer remains a leading cause of mortality worldwide, highlighting the urgent need forinnovative approaches to early detection, accurate diagnosis, and effective treatment. Traditionalmethods often fall short in identifying cancer at its nascent stages or lack the precision requiredfor personalized therapies. Emerging nanotechnology, particularly the development of nano-sensors, offers a promising solution to address these limitations, paving the way for a new era incancer care. This article explores the transformative potential …
Published in International journal of Nanobiotechnology · Vol. 11, Issue 2, 2025 Read article
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Nano-Sensors in Cancer care: A Study
Abstract: Nano, Sensors, Cancer, Healthcare, Nanoscale, Nanoparticles. Abstract: Cancer remains a leading cause of mortality worldwide, highlighting the urgent need for innovative approaches to early detection, accurate diagnosis, and effective treatment. Traditional methods often fall short in identifying cancer at its nascent stages or lack the precision required for personalized therapies. Emerging nanotechnology, particularly the development of nano-sensors, offers a promising solution to address these limitations, paving the way for a …
Published in International journal of Nanobiotechnology · Vol. 11, Issue 2, 2025 Read article
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Unsupervised Machine Learning:Revealing Hidden Data patterns
Abstract: Machine learning helps computers learn from data and make smart decisions. There are two main ways they do this: supervised and unsupervised learning. Supervised learning is like teaching a child with flashcards—you show the computer examples with the right answers, and it learns to recognize patterns. This helps it make predictions, like guessing whether an email is spam or estimating house prices. Unsupervised learning, on the other hand, is like …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 38–47 Read article
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Voice Drive: Advancing Human-Machine Interaction in Vehicle Control
Abstract: Voice Drive is a cutting-edge project focused on developing an advanced voice-controlled vehicle system with integrated acceleration control, powered by Raspberry Pi and Bluetooth technology. The system's primary objective is to provide intuitive and hands-free control of vehicle acceleration and movement through voice commands, enhancing user experience, safety, and performance. Key components of Voice Drive include sophisticated voice recognition algorithms, precise motor control mechanisms, and seamless Bluetooth communication protocols. Through …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 14–19 Read article
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Development of Nanocomposites for Sensor Applications
Abstract: The development of nanocomposites for sensor applications represents a significant breakthrough in materials science and engineering, driven by the unique properties of nanomaterials. Nanocomposites, which combine nanoparticles with polymers or other matrices, exhibit enhanced mechanical, electrical, and thermal properties, making them highly suitable for various sensing applications. The integration of nanoparticles, such as metal oxide, carbon nanotubes, and graphene, into a composite framework can dramatically increase sensitivity and selectivity, enabling …
Published in International Journal of Applied Nanotechnology · Vol. 11, Issue 1, 2025 · pp. 18–37 Read article
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Quantification of Morphine, Codeine, and Dihydrocodeine in Carissa carandas Leaves and Fruit Using LC-MS/MS: The Impact of Drying on Alkaloid Concentration
Abstract: This study presents a method for quantifying morphine, codeine, and dihydrocodeine in Carissa carandas (Karonda) leaves and fruit, employing morphine-D3 as an internal standard (1 µg/mL) to ensure accuracy. Samples are prepared at 25 ng/mL and extracted using solvent techniques, with an optional solid-phase extraction step to mitigate matrix effects. Quantification is conducted via LC-MS/MS, providing robust sensitivity. Results show that drying concentrates these alkaloids, particularly morphine in fruit, due …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 1, 2025 · pp. 49–61 Read article
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Strategy and Simulation of Smart Prepaid-PostpaidElectricity Meter with Alarm and Anti-Theft Controller
Abstract: Prepaid electricity meters with electrical protection generally control internal electricity and external electricity theft as whole electricity. Internal electricity theft occurs after the electrical energy is captured by the meter, while external electricity theft occurs before the electrical power reaches the meter. The percentage of electricity revenue was lost due to electricity theft and mismanagement. However, most of these losses are due to electricity theft. Illegal electricity use must be …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 12–23 Read article
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Fleet Management using Smart Technology
Abstract: This report details the development of a prototype system designed to manage traffic at intersections using smart technology. The main goal of the project is to create a system capable of detecting vehicles and managing traffic signal lights in real time. In the final version, the system will use sensors installed on a device to detect vehicles and adjust traffic lights accordingly. At the prototype stage, however, the focus is …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article