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441 articles for “application reliability”
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Atmospheric Remote Sensing: Bridging Technology and Environmental Challenges
Abstract: The rapid advancements in remote sensing technologies have revolutionized the field of atmospheric studies, offering unprecedented capabilities for detailed observation, analysis, and understanding of the Earth's atmosphere. These technological innovations have proven to be instrumental in tackling critical environmental challenges, providing scientists and researchers with the tools needed to monitor and analyze atmospheric phenomena with greater precision and depth.This article delves into the historical development, current state, and diverse applications …
Published in International Journal of Atmosphere · Vol. 2, Issue 1, 2025 · pp. 14–19 Read article
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Next-Generation Conductive Polymer Composites for Flexible and Wearable Electronics
Abstract: The rising demand for flexible and wearable electronics has accelerated research into conductive polymer composites (CPCs) due to their lightweight nature, electrical conductivity, and mechanical flexibility. Despite significant advancements, challenges such as reduced conductivity under mechanical deformation and limited durability persist. This study aims to develop next-generation CPCs with enhanced conductivity, flexibility, and self-healing capabilities. Hybrid nanofillers—graphene, carbon nanotubes (CNTs), and silver nanowires (AgNWs)—were incorporated into bio-based conductive polymers through …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 550–566 Read article
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Non-Destructive Examination Protocols in API 650 for Welded Storage Tank Fabrication: A Comprehensive Review
Abstract: The storage tanks play vital roles in industrial sectors, including oil and gas, manufacturing, and chemical processing by enabling safe containment of liquids and gases during key operations like production, treatment, refining, transport/distribution, and inventory control. API 650 standard is a worldwide recognized specification that covers the design and manufacturing criteria for large, welded steel storage tanks. API 650 ensures that tanks are built to withstand internal pressures and environmental …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 29–60 Read article
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Interfacial Bonding and Performance of Polymer-Based CFRP Composites in Externally Applied Configurations
Abstract: Polymer-based carbon fiber reinforced polymer (CFRP) composites are widely used for externally bonded strengthening and retrofitting applications due to their high strength-to-weight ratio and adaptability to existing structures. In such systems, overall performance is governed not only by the fiber–matrix interaction within the laminate, but more critically by the polymer adhesive layer and its interaction with the substrate. Polymer chemistry, interfacial bonding mechanisms, processing conditions, and environmental exposure collectively influence …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 952–966 Read article
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Thermo-Mechanical and Electrical Properties of Multi-Walled Carbon Nanotube-Enhanced Polyimide Composites for Aerospace Thermal Protection Systems
Abstract: Advanced aerospace thermal protection systems (TPS) require multifunctional materials that simultaneously provide high thermal stability, mechanical strength, and reliable electrical performance. Polyimide (PI) is widely used in aerospace structures due to its lightweight design and exceptional thermal durability, yet its low thermal conductivity and insulating behavior limit its effectiveness in heat dissipation and electromagnetic interference (EMI) shielding applications. This study addresses these limitations by developing multi-walled carbon nanotube (MWCNT)-reinforced polyimide …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 966–982 Read article
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Multi-Scale Analysis of Polymer Based Energy Storage Systems for High Performance Battery Applications
Abstract: The energy storage systems based on polymers are becoming promising materials for the next generation of high performance batteries because of their excellent mechanical flexibility, improved safety, and favorable electrochemical properties. Even with computational tools in Python, polymer-based energy storage systems remain plagued by poor ionic conductivity, complicated electrochemical reactions and potential thermal runaway. Therefore, a multi-scale model is proposed to improve battery performance, thermal stability, reliability, and large-scale deployment …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1035–1048 Read article
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Carbon Sequestration in Mineralogy: Potential of Ultramafic Rocks for CO₂ Storage
Abstract: The increasing concentration of atmospheric carbon dioxide (CO₂) due to anthropogenic activities has necessitated the development of effective carbon sequestration strategies. Mineral carbonation, particularly utilizing ultramafic rocks, has emerged as a promising approach for long-term CO₂ storage. This review explores the potential of ultramafic rocks in sequestering CO₂, discussing their mineral composition, reaction mechanisms, advantages, and challenges associated with their utilization in carbon capture and storage (CCS). Additionally, advancements in …
Published in International Journal of Minerals · Vol. 2, Issue 1, 2025 · pp. 30–35 Read article
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Investigations On Use of Poly(3,4-Ethylenedioxythiophene): Poly (Styrene Sulfonic Acid) (PEDOT: PSS) Conductive Polymers for Design of Improved EEG Based Brain Computer Interface for Seizure Control and Analysis
Abstract: This research explores the application of Poly(3,4-ethylenedioxythiophene):poly(styrene sulfonic acid) (PEDOT:PSS) conductive polymers in the design of an enhanced Electroencephalography (EEG)-based Brain-Computer Interface (BCI) for seizure control and analysis. PEDOT: PSS, known for its high conductivity, flexibility, and biocompatibility, is employed to improve the efficiency and sensitivity of EEG electrodes, addressing challenges such as signal noise, skin-electrode impedance, and user comfort. The study evaluates the material’s properties, including its electrical conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 223–241 Read article
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Shell Scripting and Unix Programming: Foundations and Techniques
Abstract: Shell scripting and Unix programming are essential components of modern computing, enabling users to automate repetitive tasks, manage system operations, and optimize productivity. Unix, known for its robustness and multi-user capabilities, provides a powerful command-line interface (CLI) that allows efficient system interaction. Shell scripting enhances this functionality by enabling users to execute sequences of commands, making automation seamless and reducing manual effort. Different scripting paradigms: imperative, procedural, functional, and event-driven, …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 1, 2025 · pp. 10–16 Read article
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A Survey of Several Machine Learning (ML) Algorithms for Security Solution in Internet of Things (IoT) Networks
Abstract: The Internet of Things (IoT) refers to the integration of physical objects with the Internet, allowing for connectivity and monitoring. This idea has garnered immense attention from researchers and users alike, driven by the widespread accessibility of the Internet. It spans a wide range of devices, including smart versions of conventional appliances, innovative tools tailored for Internet-enabled ecosystems, and sensors that leverage connectivity to revolutionize industries such as manufacturing, healthcare, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 1–11 Read article
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Evaluating the Performance of Test Cricket Players Using Principal Component Analysis and the Weighted Average Method
Abstract: This study evaluates cricket player performance using Principal Component Analysis (PCA) and a weighted average approach. In order to achieve this, we analyzed detailed batting and bowling datasets from the International Cricket Council (ICC) to calculate player performance based on various performance indicators. The datasets included comprehensive statistics from multiple matches and tournaments, allowing for an in-depth evaluation of players’ skills and contributions. PCA ranked players according to their participation …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 20–30 Read article
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Effects of Reels and short videos on human mind and Academic Life
Abstract: The rapid rise of short-form video platforms such as Instagram Reels, TikTok, and YouTube Shorts has fundamentally reshaped the way people consume information and entertainment. While these applications offer quick engagement and social connection, their excessive use has raised serious concerns about their psychological and academic impacts. This research investigates the relationship between short-form video addiction, mindfulness, academic anxiety, and academic engagement among university students. Drawing upon the theoretical framework …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 Read article
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Developments in Power Electronics for the Integration of Renewable Energy
Abstract: As the integration of renewable energy sources into current power grids becomes an increasingly crucial task in the global transition towards a more sustainable energy future, the role of power electronics in this domain has become paramount. Effective conversion, control, and management of electrical energy from diverse sources hinge on the advancements in power electronics technologies, which are instrumental in addressing this complex challenge. This research paper provides an in-depth …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 1, 2024 · pp. 37–48 Read article
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Scaling of Machine Learning Techniques in Medical Imagining and Biomedical Applications Concerning Healthcare
Abstract: Machine learning refers to a field within computer science enabling computers to learn without explicit programming. Stemming from artificial intelligence's study of pattern recognition and computational learning theory, machine learning develops algorithms capable of learning from vast datasets and making predictions. Its applications span diverse computing tasks like email filtering, network intrusion detection, optical character recognition, and computer vision, where conventional algorithm design proves challenging. Notably, in computer vision, a …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 41–44 Read article
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Advancements and Emerging Trends in Thermal Energy Storage Technologies for Sustainable Energy Systems
Abstract: Rising global energy demand and environmental concerns have led researchers to investigate renewable energy sources as alternatives to fossil fuels. Solar and wind power have emerged as key players in the transition to more sustainable energy systems. Thermal energy storage (TES) technologies are critical to addressing the variability of renewable energies, allowing for a better management of energy, improved reliability, etc. This paper analyses the recent advances in the field …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 1, 2025 · pp. 07–17 Read article
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IoT Sensors to Monitor Pipeline Pressure and Flow Rate Combined with ML-Algorithms to Detect Leakages
Abstract: In the field of fluid mechanics, pipelines are the lifeblood of industries, transporting everything from natural gas and oil to water and chemicals. Maintaining their integrity is paramount for safety, economic efficiency, and environmental protection. Traditional leak detection methods explained in fluid mechanics can be slow, expensive, and sometimes fail to identify small leaks early enough to prevent significant damage. However, the convergence of Internet of Things (IoT) and Machine …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 40–48 Read article
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The Role of Composite Materials in Electric Vehicles: Enhancements in Performance, Safety, and Efficiency
Abstract: Individuals outside the manufacturing industry may not be familiar with the remarkable characteristics of composite materials, which include an excellent strength-to-weight ratio, durability, and versatility. Composites lie at the crossroads of the automotive sector particularly in the electric vehicles (EVs). Much as this paper sought to discuss composites rich contribution to the EV technology, this paper deems it useful in the context of light weighting, battery and housing, and the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 296–310 Read article
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Design And Fabrication of Contactless Magnetic Gears
Abstract: Modern engineering prioritizes speed, efficiency, and reliability, spurring innovations like contactless magnetic gear systems that transmit torque through interacting magnetic fields from permanent magnets, eliminating physical contact to drastically cut friction, backlash, wear, lubrication needs, and heat—operating silently with minimal vibration and peak efficiencies up to 99% under ideal conditions, outperforming traditional gears in low-speed, high-torque direct-drive applications such as motors. The design centers on two rotors: an outer high-speed …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Smart Tracks: Navigating Urban Transit with IoT-enabled Bus Networks
Abstract: Public transportation is a lifeline for countless individuals globally, providing essential connectivity for daily commutes to work and school. However, numerous challenges such as bus delays and inefficient space on the buses often hinder the travel experience. It's crucial to resolve these issues to achieve an efficient public transport system. A promising solution lies in the adoption of an IoT-based application. With this technology, one can track the real-time location …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 1–8 Read article
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DC Motor Speed Control Using Arduino & L298N Motor Driver
Abstract: The focus of this project is on developing a DC motor speed controller using an Arduino microcontroller and an L298N motor driver module. The goal is to create a flexible and effective system that can control the speed, direction of a DC motor through PWM signals generated by the Arduino. The project utilizes the Arduino platform for its flexibility, ease of programming, and wide availability of resources, while the L298N …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article