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943 articles for “Reliability”
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Investigating the Surface Defects and Structural Integrity of 3D Printed Hydrogen Storage Cylinders in UAV Applications
Abstract: This research explores the processing and manufacturing challenges of 3D printed polymer composites for high-pressure hydrogen storage in UAVs. The study focuses on addressing surface integrity and structural robustness issues inherent in additive manufacturing. Finite Element Analysis (FEA) was conducted on four thermoplastic polymer ABS, PET-G, HDPE, and Nylon to assess their mechanical performance under 35 MPa of pressure. Results revealed that PET-G and ABS provided better stress distribution and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 161–191 Read article
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A Study on the Incidence, Prevalence, and Causative Factors Associated with Intradialytic Hypotension During Maintenance Hemodialysis
Abstract: In Maintenance Hemodialysis (MHD), Intradialytic Hypotension (IDH) is a significant issue, occurring in around 15–30% of dialysis sessions and greatly affecting patient well-being and health outcomes. This study followed a group of 50 MHD patients for six months to investigate the frequency, prevalence, and causes of IDH. The findings revealed that having a low serum albumin level (<3.5 g/dL) was the most reliable indicator of IDH (OR: 4.1, 95% CI: …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 17–29 Read article
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ANN Approach to Forecasting the Strength of Nano Silica Incorporated Geopolymer Composite
Abstract: Coal and steel industry by-products, such as fly ash (FA) and blast furnace slag (GGBS), have gained significant attention as precursors for geopolymer concrete (GPC) due to their high aluminosilicate content, offering a sustainable alternative to conventional cement. Nano silica (NS), recognized for its exceptional pozzolanic activity and ability to refine microstructure, has shown potential to enhance the mechanical and durability properties of GPC. This study investigates the influence of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 267–278 Read article
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Prediction of Customer Churn Using Machine Learning Classification Models
Abstract: Customer churn prediction is a critical task in both the telecommunication and medical industries, where retaining customers or patients is essential for ensuring long-term profitability and maintaining high-quality service. To address this, a range of machine learning models—including logistic regression, decision trees, random forests, gradient boosting machines, and support vector machines—were employed to accurately forecast churn behavior. Prior to model training, the dataset underwent thorough preprocessing, which included handling missing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 86–92 Read article
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Real-Time Multilanguage Platform with Encryption
Abstract: The proposed system, titled “Real-Time Multilanguage Platform With Encryption”, is designed to enable fast, reliable, and secure communication across various languages without relying on any third-party APIs. It utilizes a built-in audio-to-text conversion mechanism that processes spoken input using Python-based libraries like Speech Recognition or OpenAI’s Whisper, ensuring high accuracy in transcriptions. Once the audio is converted to text, the platform employs an offline translation engine to convert the transcribed …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 2, 2025 · pp. 1–7 Read article
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Smart Manufacturing with Advanced Polymer Composites: Enabling Industry 4.0 Readiness in Indian MSMEs
Abstract: Thanks to Industry 4.0, manufacturing is now undergoing major changes that highlight using technology, machines, and sustainable solutions. Yet, very few Indian MSMEs can use these technologies due to obstacles like a lack of resources and outdated systems. This research looks at how combining Smart Manufacturing with Advanced Polymer Composites can improve Indian MSMEs’ preparations for Industry 4.0. When APCs are combined with cyber-physical systems, IoT, machine learning, and additive …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 194–216 Read article
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Blockchain-Assisted Electronic Voting: A System Design Perspective
Abstract: Voting plays a vital role in upholding democratic principles by allowing individuals to express their preferences and take part in shaping the decisions that affect their lives. Despite its importance, traditional voting systems—whether manual or digital—continue to encounter major obstacles. These include a lack of transparency, declining voter turnout, vulnerability to fraud, and concerns around manipulation. While digital voting platforms offer a modern alternative, they often face skepticism due to …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 2, 2025 · pp. 9–16 Read article
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Biobased Composite Materials for Sustainability
Abstract: Due to increasing demand for sustainable materials in various industrial sectors has directed a significant interest in biobased composite materials. Biobased materials, derived from biological resources, offer a promising substitute as compared to conventional composites that rely greatly on fossil fuels. This paper explores the advanced applications of biobased composites across various sectors such as automotive, construction, packaging etc., emphasising their potential to reduce environmental impact while maintaining the standard …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 163–170 Read article
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Fault Detection in Solar PV Systems Integrated with the Power Grid: Evaluating Logistic Regression through Confusion Matrix Analysis
Abstract: This paper proposes a method for failure detection in grid-integrated solar photovoltaic (PV) systems using logistic regression and real-time sensor data. The approach effectively classifies and identifies seven distinct fault types. The developed model demonstrates a high fault identification accuracy, ranging from 93% to 96.5% across various fault types and operational conditions. By leveraging logistic regression, the system utilizes key independent variables that significantly influence the classification process. Additionally, the …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 45–52 Read article
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Advanced Digital Twin and AI Integration for Real-Time Optimization in Polymer Production
Abstract: The integration of Internet of Things (IoT) with Artificial Intelligence (AI) technologies opens up considerable avenues for reshaping polymer manufacturing by improving operational effectiveness, securing exceptional product standards, and advancing sustainability in the environment. This academic manuscript delineates an advanced framework that integrates IoT and AI with synergistic technologies, including blockchain, edge computing, and digital twin methodologies, to revolutionize polymer manufacturing processes. The proposed architecture utilizes IoT sensors for the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 81–89 Read article
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GreenDiagnosis: Intelligent Crop Disease Detection Using Deep Learning Algorithm
Abstract: Agriculture in parts of India relies on labour-intensive traditions, maintaining disease-free crops is crucial. Manual methods can be inaccurate, driving farmers towards AI-based solutions. AI offers a proactive approach to address real-time farming challenges. Among these is the invasion of pests, which diminishes crop quality. Combating pest-related diseases poses a challenge, prompting innovation. Effective surveillance and early detection of crop diseases play a pivotal role in ensuring global food security …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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AI-Based Preventive Healthcare Using Quantum Computing
Abstract: With its improved performance and capabilities, quantum machine learning (QML) is becoming a promising field, especially in the healthcare industry for tasks like early heart disease prediction. In this work, a Quantum Support Vector Classifier (QSVC) is proposed as the basic classifier for a bagging ensemble learning model. Shapley Additive explanations (SHAP) are used to evaluate the significance of each attribute in the predictions in order to improve explainability. Using …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
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Comparative Analysis of 3D-Printed and Molded Shape-Stabilized Phase Change Composites
Abstract: Thermal energy storage (TES) has become essential for efficiently storing and utilizing thermal energy across applications like industrial heating, power plants, batteries, medical devices, food preservation, and aerospace technology. Because of their high energy density, affordability, and environmental friendliness, phase change materials, or PCMs, are employed extensively. However, challenges like poor thermal conductivity and leakage limit their performance. To address these issues, 3D printing has emerged as a powerful tool …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 184–192 Read article
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Reducing Food Waste Through Digital Innovation: A Flutter-Based Food Donation System
Abstract: Food wastage is a worldwide problem, causing environmental deterioration and loss of resources. At the same time, food insecurity affects a large number of people and communities. The goal of the proposed food donation app is to bridge the gap with a suitable and convenient platform to bring food donors and vulnerable organizations and people together. The app facilitates convenient food donation in a manner that excess food actually reaches …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 2, 2025 · pp. 24–32 Read article
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Open Access E-Journals and E- Books for Academic College Users
Abstract: The rapid advancement of digital technology and the concept of Open Access (OA) have transformed academic libraries into powerful storehouse of knowledge accessible to all. This article explores the importance of OA e-journals and e-books focusing on their significant contributions to the academic college users. It introduces the concept of OA, its key benefits and a detailed list of free and reliable platforms for Arts, Science, and Commerce disciplines. Also, …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 2, 2025 · pp. 22–26 Read article
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QSAR Modeling Techniques: A Comprehensive Review of Tools and Best Practices
Abstract: Quantitative Structure–Activity Relationship (QSAR) modeling has become an essential tool in drug discovery, toxicity assessment, and environmental chemistry. By correlating chemical structure with biological activity or toxicity, QSAR enables the prediction of compound behavior without extensive experimental testing. This approach not only saves time and resources but also supports ethical practices by reducing reliance on animal studies. The evolution of QSAR from basic linear models to advanced machine learning and …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 56–63 Read article
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Evaluating the Role of Platelet Indices, with a Focus on Immature Platelet Fraction (IPF), in Differentiating Hyper-Destructive and Hypo-Productive Thrombocytopenia: A Study from Ludhiana, Punjab, India
Abstract: Background: Thrombocytopenia, characterized by a reduction in platelet count, is commonly observed in clinical settings. Its etiology can be broadly classified into hyper-destructive thrombocytopenia, where platelets are destroyed at an accelerated rate, and hypo-productive thrombocytopenia, where platelet production is impaired. Differentiating between these two causes is essential for effective management. The Immature Platelet Fraction (IPF) has emerged as a promising non-invasive diagnostic tool to distinguish these causes. Objectives: The primary …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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VLSI Based Traffic Light Controller
Abstract: This study details the development and realization of an advanced traffic light control system utilizing VHDL (Very High-Speed Integrated Circuit Hardware Description Language) in conjunction with FPGA (Field Programmable Gate Array) technology. The system is designed to regulate a four-way intersection, with one primary high-traffic road intersecting with a less congested side road. To enhance traffic efficiency and minimize idle times, the model incorporates intelligent features such as a vehicle …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 2, 2025 · pp. 40–47 Read article
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Revolutionizing School Schedules: An Arduino-Based Automatic Class Bell System with Real-Time Precision
Abstract: A sound that evokes nostalgia, signals transitions, and dictates the rhythm of academic life. However,the traditional reliance on manual bell ringing is prone to human error, inconsistencies, and inflexibility. This work explores the design and implementation of an Arduino-based automatic class bell system leveraging a Real-Time Clock (RTC) module to provide accurate and reliable bell timing. This system offers a significant upgrade over manual systems, streamlining school schedules and improving …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 35–44 Read article
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Nanoelectronics Based on Carbon Nanotubes
Abstract: Nanoelectronics, the study and application of electronic components and systems at the nanometer scale, plays a pivotal role in advancing modern technology toward faster, smaller, and more energy-efficient devices. Among the various nanomaterials explored for these applications, carbon nanotubes (CNTs) have emerged as one of the most promising candidates due to their exceptional electrical conductivity, mechanical strength, and thermal stability. This project report presents an in-depth exploration of the role …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 3, 2025 · pp. 40–53 Read article