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276 articles for “Accuracy”
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Methodology for Error Analysis and Localization in Web Application Testing
Abstract: This article introduces a structured and systematic approach to analyzing and localizing errors in modern web applications through an in-depth examination of logs collected at multiple system levels. The proposed methodology emphasizes a clear, step-by-step analysis strategy that guides developers and testers in identifying the source of application failures with greater precision and efficiency. It combines theoretical principles with practical recommendations, offering detailed guidance on how to handle different categories …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 2, 2025 · pp. 40–50 Read article
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From Silicon to Cells: The Emerging World of DNA DataStorage
Abstract: DNA data storage is a technology that takes advantage of the inherent characteristics of DNA to store large quantities of data in a highly compact and long-lasting format. This article provides detailed insights into how DNA storage works, as well as analytical methods like encoding, decoding, synthesis, sequencing, and error-correction methods . It investigates many ways DNA storage can be a solution for various fields, from archival data systems and …
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: 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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Nyler 3D Wool Technology: Redefining Textiles for a Sustainable and Functional Future
Abstract: Nyler is a 3D wool technology that represents a revolutionary convergence of natural fibers and additive manufacturing. It enables the design and fabrication of complex, seamless, and high-performance textile structures with applications in fashion, architecture, healthcare, and aerospace. With rising concerns about sustainability and waste in the textile industry, wool's renewable, biodegradable, and durable properties position it as a key material for 3D-printed or digitally fabricated textiles of the future. …
Published in International Journal of Sustainable Building Technology · Vol. 8, Issue 2, 2025 · pp. 1–7 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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A Review of Combustion Modeling Techniques for IC Engines: CFD Simulations and Experimental Correlations
Abstract: For a long time, internal combustion (IC) engines have been the mainstay of power generating and transportation systems. However, a move toward cleaner and more efficient engine technologies has been spurred by stricter pollution restrictions and growing environmental concerns. In this context, combustion modeling has emerged as a critical tool for understanding in-cylinder processes and improving engine performance. This review focuses on the evolution and application of various combustion modeling …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 1, 2025 · pp. 13–20 Read article
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Enhance the Process Parameters for Material Removal Rate (MRR) Assessment in Turning Operations with HSS Cutting Tools
Abstract: AbstractThe experimental investigation of turning on EN8 steel of grade SAE (AISI) 1040 using HSS cutting tools was the focus of this work. The following study’s main goal was to apply the Taguchi method to ascertain how the machining parameters – feed, depth of cut, and cutting speed – affect the rate at which material is removed from the machined material. Finding the ideal machining parameters to optimize the material …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 16–23 Read article
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Multiple Regression Analysis of Compressive, Flexural, and Split Tensile Strength in M40 Grade Concrete
Abstract: Concrete plays a key role as a construction material across the globe. The strength parameters of the concrete are primary reason for which it is designed for. The design mixed concrete has multiple strength parameters like compressive strength, spilt tensile strength, flexural (bending) strength etc. For each newly design mixed concrete, the mentioned strength parameters are tested for various time duration like 3 days, 7 days, 14 days, 28 days …
Published in International Journal of Construction Engineering and Planning · Vol. 11, Issue 2, 2025 · pp. 20–34 Read article
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The Role of Technology Integration in Advancing Construction Education
Abstract: The construction industry is undergoing a significant transformation with the advent of technological innovations, necessitating a parallel evolution in construction education. This study investigates the role of technology integration on student learning outcomes and industry preparedness in construction education, addressing a critical need to bridge the gap between academic and industry requirements. Surveys and interviews were combined in a mixed-method approach. By adopting the purposive sampling technique, a sample size …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 Read article
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Improve the Process Parameters for Evaluation of Material Removal Rate (MRR) on Turning Operation using Carbide Insert Tool
Abstract: Abstract The Material Removal Rate (MRR) is a critical performance indicator in turning operations, directly influencing productivity, cost-efficiency, and part quality. In this study, the focus is on optimizing the process parameters to improve MRR during turning operations using carbide insert tools. Carbide inserts are favored in machining due to their high hardness, wear resistance, and ability to withstand elevated cutting forces, making them suitable for high-performance turning operations. The …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 17–24 Read article
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A Sensor Integrated Tool for Cutting Force Monitoring in Gantry Milling to Improve Flatness and Surface Finish: Review Study
Abstract: AbstractPrecision machining of sector plates plays a vital role in the efficient functioning of Air Pre-Heaters(APH), which are integral components of thermal power plants. These plates are subjected to harshthermal cycles and mechanical loads, making dimensional accuracy critical. For optimal heatexchange performance and mechanical reliability, it is essential to maintain tight manufacturingtolerances – flatness within ±400 microns and thickness up to 13 mm. Deviation from theseparameters can lead to air …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 25–45 Read article
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Finite Element Analysis (FEA) for Nonlinear Behavior in Advanced Materials
Abstract: (FEA) in investigating the nonlinear behavior of advanced materials plays a pivotal role in optimizing the design and performance of modern structural systems. As innovative materials, such as nanocomposites, metamaterials, and shape-memory alloys gain prominence, conventional linear modeling methods become inadequate for accurately capturing the intricate and time-dependent responses exhibited by these materials under diverse loading conditions. This research delves into cutting-edge FEA techniques to simulate and analyze the nonlinear …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 1, 2025 · pp. 21–26 Read article
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Shielding the Pulse: Addressing Data Integrity and Security Challenges in E-Health Systems Using Cloud Computing
Abstract: The changing face of healthcare due to integration of the cloud into e-health systems allows for storage, sharing and access to data in a highly secure manner, but this also raises questions about security and privacy issues. In this research paper, the authors address one such privacy and security concern, which is data confidentiality and loss of integrity within the e-health systems based on Cloud Computing. The paper explores several …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 18–23 Read article
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Advances in Machine Learning and Data Analytics: A Multidisciplinary Synthesis
Abstract: Machine learning has emerged as a key driver of innovation across a wide range of fields. Its transformative potential is evident in natural language processing, computer vision, and real-time automation, where it addresses intricate challenges with remarkable efficiency. This paper delves into recent developments in machine learning, spotlighting techniques, such as semi-supervised learning frameworks, stable diffusion models for generative tasks, and advanced lightweight architecture for real-time defection detection. By integrating …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 12–17 Read article
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Smart Agro-Advisory Systems: AI-Based Platforms for Real-Time Farmer Decision Support
Abstract: Agriculture is a vital sector for food security and economic growth, particularly in the developing world. Farmers, however, often face unpredictability of weather conditions, insect attacks, wasteful use of resources, and uncertainties of the market. Farmers' practices are mostly based on experience and intuition, which might not always be the best to apply. Smart Agro-Advisory Systems (SAAS) based on Artificial Intelligence (AI) offer real-time decision support to farmers, enabling them …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 8–14 Read article
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Review and Analysis of Fault Detection in Self-Healing Hardware System
Abstract: Self-healing hardware systems represent a transformative advancement in fault tolerance, enabling devices to autonomously detect, diagnose, and recover from malfunctions to ensure continuous and reliable operation. This paper explores the critical role of fault detection techniques in self-healing systems, focusing on methods such as built-in self-test (BIST), redundancy, and machine learning-based approaches. These techniques facilitate proactive and real-time fault resolution, addressing the limitations of traditional reactive strategies. The study highlights …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 11–15 Read article
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Tap & Serve: Digital Restaurant Management System
Abstract: Tap & Serve is a clever and user-friendly digital solution that makes restaurant operations much more efficient. Order taking, inventory control, billing, and ensuring that consumers receive excellent service are just a few of the daily duties it facilitates. Utilizing cutting-edge technology such as mobile apps, cloud storage, and real-time data, Tap & Serve reduces errors, saves time, and maintains efficiency. With the use of extensive analytics and reporting capabilities, …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 16–25 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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Deep Learning for Smarter Farming: Innovations in Plant Disease Identification
Abstract: Agriculture is the backbone of global food security, yet plant diseases significantly impact crop yields and farmers' livelihoods. Traditional disease detection methods are often time-consuming and require expert intervention, making them less feasible for large-scale farming. Recent advancements in deep learning have revolutionized plant disease identification by offering automated, accurate, and efficient solutions. This article explores innovative deep learning techniques, including convolutional neural networks (CNNs) and transformer-based models, that enhance …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 27–32 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article