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441 articles for “application reliability”
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Design and Implementation of Automatic Flame Detection and Tracking
Abstract: Fire accidents pose important risks to life, property, and the environment, making early detection and fast suppression vital. This paper presents the design and application of an automatic flame detection and suppression system using Arduino Uno. The system uses flame devices to notice the presence and direction of flame, while the Arduino Uno processes the sensor data to control engines for sensor site and water pumping. The design joins two …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 7–14 Read article
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An Innovative AI-Integrated Approach for Identifying the Tensile Robustness of Polymeric Materials
Abstract: Polymeric materials have so many applications and character similar to flexibility, robustness and lightweight nature they are essential to a large variety of industries. Though, it is difficult to establish their tensile robustness appropriately, particularly in a variety of environmental situation. Provide a recommended Artificial Intelligence (AI)-integrated method to decide the issues of rapidly ascertaining the tensile robustness of the polymeric material. Using machine learning (ML), this study, predicted and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 90–97 Read article
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Assessment of Decellularization Techniques for Fabrication of Tubular Submucosal Scaffolds from Small Intestine for Application in Oesophageal Tissue Engineering
Abstract: In this ground-breaking study, we sought to create superior tubular scaffolds for tissue engineering by utilizing small intestine submucosa (SIS), a remarkable biomaterial with outstanding therapeutic potential. We investigated two standard detergent-perfusion procedures, peracetic acid under perfusion and classic peracetic acid-agitation, to decellularize tubular SIS, with the goal of generating scaffolds with consistent and reliable properties for oesophageal tissue engineering. To assess biocompatibility, we employed metabolic research, microscopy, mechanical tests, …
Published in Journal of Polymer & Composites · Vol. 11, Issue 3, 2023 · pp. 30–38 Read article
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The Applications, Impact, and Future of Blockchain Technology in Agriculture
Abstract: Blockchain is one of the most interesting and controversial research topics today. Blockchain technology was first deployed in the financial sector. Nevertheless, it is currently applied in various domains, including healthcare, smart cities, smart contracts, energy markets, and the government sector. The efficacy of this technology primarily depends on the following attributes: reliability, transparency, and immutability. This article gathers and examines the primary contributions from the literature regarding the utilization …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 1, 2024 · pp. 12–22 Read article
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Leveraging AI and Machine Learning for Early Prediction and Prevention of Non- Communicable Diseases in Resource-Limited Settings
Abstract: Populations in these regions face persistent structural barriers, such as underdeveloped healthcare infrastructure, shortages of trained health professionals, and fragmented or incomplete health information systems. These limitations delay timely diagnosis, restrict access to preventive care, and compromise effective disease management. In recent years, rapid progress in artificial intelligence (AI) and machine learning (ML) has opened promising avenues to mitigate these challenges. Practical applications already emerging include mobile health platforms for …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 9–15 Read article
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Investigating Flexural Behavior in Cyclic Loading of Fly Ash-Based Green Concrete
Abstract: The construction industry is increasingly embracing sustainable materials, and geopolymer concrete (GPC) has emerged as a promising eco-friendly alternative to Ordinary Portland Cement (OPC). Derived from industrial by-products such as fly ash, GPC offers significant environmental advantages by reducing greenhouse gas emissions associated with conventional cement production. This study explores the monotonic and cyclic performance of fly ash-based GPC, with a focus on its mechanical and structural behavior. Key properties, …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 1–5 Read article
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Explainable Artificial Intelligence in Personalized Medicine: Emerging Clinical Perspectives
Abstract: The convergence of artificial intelligence (AI) and precision medicine has transformed contemporary healthcare by enabling data-driven clinical decision-making, individualized therapeutic interventions, and predictive diagnostics. However, despite remarkable advances in machine learning (ML) and deep learning (DL), the widespread adoption of AI in healthcare remains constrained by the “black-box” nature of many computational systems. Clinicians, regulatory agencies, and patients increasingly demand transparency, interpretability, and trustworthiness in AI-guided medical recommendations. Explainable Artificial …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 13–29 Read article
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Antenna Positioning Unit for Defence Vehicles
Abstract: This paper introduces an advanced antenna positioning system specifically engineered for defense vehicle applications, featuring Azimuth angle rotation and Elevation angle rotation. The system, designed for precision and adaptability, achieves remarkable accuracy. Noteworthy is its immunity to magnetic field interference, ensuring unwavering reliability in electromagnetic-intensive defence environments. The system's substantial weight-bearing capacity, coupled with precise control, makes it an ideal solution for defense vehicles necessitating advanced communication and surveillance capabilities. …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 38–46 Read article
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Smart Attendance System Using Face Recognition with OpenCV
Abstract: In the past, the conventional method of recording student attendance relied heavily on teachers manually marking entries in a physical register. While simple, this approach is not only time-consuming but also highly vulnerable to errors such as accidental omissions, incorrect entries, or even malpractice in the form of proxy attendance. Moreover, traditional registers lack real-time accessibility, making it difficult to analyze or monitor data instantly. To address these limitations, modern …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 30–39 Read article
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AI-Driven Lightning Strike Prediction Using Polymer-Integrated Sensor Platforms for Climate-Resilient Energy Systems in India
Abstract: Lightning strikes are a major climate-related threat to India, resulting in severe human injuries as well as regular damages to the power transmission network and renewable energy infrastructure. This research aims to introduce the concept of an AI-based lightning strike prediction and mitigation system with the integration of polymers for making climate-resilient energy infrastructure. Multidata are collected based on satellite images, climate variables, as well as surface-based sensing modules, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 234–242 Read article
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E-Voting Application Using Blockchain
Abstract: Electronic voting (e-voting) is increasingly recognized as a method for improving the electoral process by enhancing security, accessibility, and efficiency. However, traditional e-voting systems present challenges, including security vulnerabilities, lack of transparency, and privacy concerns. This study presents an e-voting system powered by blockchain technology, designed to enhance decentralization, security, and protection against fraud. By leveraging blockchain’s features such as immutability, transparency, and cryptographic security, this model mitigates risks related …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 2, 2025 · pp. 12–21 Read article
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Autonomous Calibration of Medical Devices Using Synthetic Biosignals and Adaptive Learning
Abstract: The accuracy and reliability of modern biomedical diagnostic devices are critically dependent on effective calibration mechanisms capable of handling dynamic physiological and environmental variations. Conventional calibration approaches, which rely on static reference signals and manual adjustments, are inadequate in addressing challenges such as sensor drift, noise interference, motion artifacts, and long-term performance degradation. To overcome these limitations, this research proposes an innovative AI-driven adaptive biosignal simulation and calibration architecture for …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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The Coupling of Blockchain and Supply Chain
Abstract: In today's industrial landscape, supply chain management (SCM) is pivotal in ensuring the smooth supply of products from the manufacturing house to the seller shop. However, digitizing SCM processes has brought new challenges, particularly in data security and trustability. Blockchain, a decentralized peer-to-peer network, offers enhanced security and privacy through its distributed ledger technology. By incorporating blockchain into SCM, businesses can ensure the integrity of their data, mitigate risks such …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 38–48 Read article
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Bioanalytical Method Development and Validation for the Estimation of Levothyroxine in Human K₃EDTA Plasma by Using UPLC-MS/MS
Abstract: A rapid, sensitive, and highly selective UPLC-MS/MS method was developed and validated for the quantitative estimation of Levothyroxine in human plasma using Levothyroxine-D₃ as the internal standard (IS). Chromatographic separation was achieved on a Gemini NX-C18 column (50 × 3.0 mm, 3 µm) with a mobile phase consisting of acetonitrile and water (70:30, v/v) containing 0.015% formic acid at a flow rate of 0.5 mL/min. The total run time was …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 3, 2025 · pp. 32–46 Read article
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A Comprehensive Analysis of Coating Technology and Thin Films
Abstract: In contemporary materials science, thin film and coating technologies are essential because they allow for the improvement of surface characteristics, including electrical conductivity, hardness, corrosion resistance, and optical performance. These technologies use physical, chemical, or hybrid deposition techniques to deposit materials in layers that range in thickness from a few nanometres to several micrometres, depending on the required functional properties and application areas. The content, thickness, and microstructure of films …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 3, 2025 · pp. 50–64 Read article
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SkinSight: Design and Implementation of an Intelligent Skin Type Detection System
Abstract: Identifying an individual’s skin type accurately is essential for creating personalized dermatological treatments and formulating skincare products that genuinely meet user needs. In this project, a real- time skin type classification system is developed using a combination of convolutional neural networks (CNNs) and modern computer vision techniques. The system processes live video streams, isolates the facial region through Haar cascade–based detection, and applies a series of preprocessing steps to enhance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 35–45 Read article
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Machine Learning Approaches in Breast Cancer Diagnosis: Current Trends and Future Perspectives
Abstract: Since cancer is still one of the world's top causes of death, precise and effective detection techniques must be developed. Machine learning (ML) approaches have shown promise in recent years for enhancing cancer prognosis and detection. This paper presents a comprehensive review of the application of ML in cancer detection, focusing on various modalities including medical imaging, genomic data, and clinical records. We highlight the challenges associated with traditional cancer …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 14–20 Read article
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Integration of Biosensors in Robotic Systems for Enhanced Environmental Monitoring
Abstract: Biosensors are analytical devices that use biological components, such as enzymes, antibodies, or nucleic acids, to detect specific chemical or biological substances. They have shown great potential in various fields, particularly in environmental monitoring, due to their sensitivity, specificity, and ability to provide real-time data. Integrating biosensors with robotic systems combines the strengths of both technologies, allowing for efficient data collection in remote, hard-to-reach, or hazardous environments. This integration enables …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 38–49 Read article
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Renewable-Powered HVAC Systems: Advances in Solar, Bioenergy, and Heat Pump Technologies
Abstract: The global demand for refrigeration, air conditioning, heating, and ventilation (HVAC) systems has increased rapidly due to population growth, urbanization, industrialization, and rising expectations for indoor thermal comfort. These systems account for a substantial share of global energy consumption and greenhouse gas emissions, primarily because they rely heavily on fossil-fuel-based electricity and thermal energy. Consequently, the decarbonization of HVAC and refrigeration sectors has become a critical component of global climate …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 26–33 Read article
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Design and development of a location based Household service management system
Abstract: Household services play an important role in maintaining day-to-day life, especially in urban areas where people depend on external professionals for tasks such as plumbing, electrical work, and general repairs. However, users often face difficulties in finding reliable service providers quickly and efficiently due to unorganized systems and lack of a centralized platform. This paper presents a Location-Based Household Service Management System, a web-based application designed to connect users with …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 Read article