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1261 articles for “advanced applications”
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Electrochemical Biosensors for Disease Diagnostics
Abstract: Electrochemical biosensors have emerged as one of the most promising tools for disease diagnosis because they combine high sensitivity, rapid response, portability, and low cost in a single analytical platform. In recent years, growing interest in early disease detection has pushed researchers to develop biosensors that can detect clinically important biomarkers in blood, saliva, urine, sweat, and other biological fluids. These sensors work through the interaction between a biological recognition …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article
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The Role of DevOps in Financial Network Security
Abstract: This study provides a comprehensive analysis of the significance of Development and Operations (DevOps) in ensuring the security of financial networks. With an ever-increasing need for speed, efficiency, and quality in the Fintech sector, integrating DevOps methodologies into operational workflow has become critical. Adopting DevOps practices not only expedites the software delivery cycle, but also ensures comprehensive security. The study explores the adoption of Secure DevOps strategies, the importance of …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 21–28 Read article
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Association Rule Mining for Predicting Heart Disease: Challenges and Opportunities
Abstract: The exponential growth of digital healthcare data has spurred innovative applications of data mining techniques in medical research and practice. Among these, association rule mining stands out for its ability to uncover meaningful correlations within diverse datasets, such as electronic health records, imaging data, and genetic information. This paper reviews the application of association rule mining in predicting heart diseases, emphasizing its potential to enhance early detection, risk stratification, and …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 29–34 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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Nitro IDE: Exploring Integrated Development Environments: Current Trends and Innovations
Abstract: Integrated Development Environments (IDEs) have become essential in modern software development, offering a centralized platform that brings together source code management, debugging tools, version control, and compilation features. This study offers an in-depth analysis of various IDE platforms, with a particular focus on Eclipse as a widely used open-source integration environment. It also explores specialized IDEs tailored for embedded systems and enterprise-level Java (J2EE) application development. Additionally, the study examines …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 35–40 Read article
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Breast Cancer Detection Using Machine Learning: A Comparative Analysis of Supervised Learning Algorithms
Abstract: Globally, breast cancer remains a predominant cause of mortality among women, highlighting the urgent need for timely and precise diagnostic approaches. This research explores the application of machine learning algorithms—including Logistic Regression, SVM, Naïve Bayes, KNN, and Random Forest—on the Wisconsin Breast Cancer Dataset for effective tumor classification. Key pre-processing steps such as missing value handling, feature scaling, and dimensionality reduction were employed to improve model performance. The study evaluated …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 46–52 Read article
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Optimized Hardware Realization of AES for High-Throughput FPGA Platforms
Abstract: The Advanced Encryption Standard (AES) is the predominant symmetric-key cryptographic algorithm used for securing digital communication across embedded systems, IoT devices, cloud infrastructures, and defense networks. Although software-based AES implementations offer flexibility, they often fail to meet the high-speed, low-latency, and energy-efficient requirements of modern real-time applications. Reconfigurable hardware platforms such as Field-Programmable Gate Arrays (FPGAs) provide a powerful alternative by enabling architectural customization, intrinsic parallelism, and optimized hardware acceleration. …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 11–22 Read article
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Stock Market Prediction Using Machine Learning: Techniques, Challenges, and Future Directions
Abstract: The continuous advancement of machine learning (ML) technologies has significantly transformed the field of financial forecasting, particularly in the area of stock market prediction. The ability to accurately forecast stock price movements and market trends plays a crucial role in supporting informed investment strategies and effective risk management. This paper provides a comprehensive review of recent developments in the application of ML techniques for predicting stock market behavior. It classifies …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 10–16 Read article
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Advancements in graphene reinforced metal matrix composites: A comprehensive review
Abstract: The Present pollution norms insist automobile manufacturers to make use of ultra-high specific strength materials i.e., materials ahead of conventional metal matrix composites (MMCs) with micro-sized reinforcements. With the advent of nanomaterials, nanocomposites are being developed with properties that overcome the limitations for metals or composites with micro-sized reinforcements. In recent years, the family of graphene-based materials, in particular, graphene nanoplatelets (GNPs) reinforced MMCs offering promising solutions to revolutionize the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 177–189 Read article
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A review of nanocomposite coatings for marine applications
Abstract: This paper reviews the performance and material characterization of nanocomposite coatings on the hydraulic pipelines of Ship A-Frame, which were corroded due to seawater exposure. Hydraulic pipe lines made of carbon steel face severe corrosion due to the highly corrosive nature of seawater with high salinity and microorganisms. The shipping industry utilizes organic and inorganic coatings to safeguard the hydraulic and seawater pipe lines of deck machines from marine pollution. …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 1, 2024 · pp. 1–9 Read article
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A simple analytical theory for the preliminary structural design of submarine
Abstract: An Underwater Vehicle (UV) is designed to function underwater and range from an Autonomous UV to a submarine. The main difficulty that UV designers face is minimizing the weight of the pressure hull to maximize payload and propulsion velocity while reducing construction cost and time by employing appropriate material and design approaches. Herein, we examine applications geared toward submarines as well as the creation and development of an analytical model …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 1, 2024 · pp. 1–11 Read article
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Autism Spectrum Disorder Prediction Using Classification Techniques: A Comparative Analysis
Abstract: Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder marked by difficulties in social interaction, communication, and repetitive behaviors. Identifying and addressing ASD early is essential for enhancing the quality of life for those affected. Data mining techniques have emerged as powerful tools in analyzing large datasets to predict and diagnose ASD, aiding in early identification and intervention. This article presents a comprehensive comparative analysis of classification techniques employed in …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 66–71 Read article
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AI and IoT in Sustainable Agriculture: A Review
Abstract: Artificial Intelligence (AI) and Internet of Things (IoT) integration have transformed the world of sustainable agriculture, presenting new ways of resource optimization, increasing crop yields, and making environmental sustainability more accessible. The current literature review analyzes the applications of AI and IoT in three significant agricultural systems: aquaponics, hydroponics, and poultry farming. By critically analyzing recent studies, this paper emphasizes how deep learning- enabled computer vision techniques allow for the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 32–45 Read article
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Harnessing Microalgae for Wastewater Treatment: Industrial Prospects and Environmental Benefits
Abstract: Simultaneous pollutant removal and biomass valorization has made microalgae an attractive and innovative solution to wastewater treatment, which could be considered a sustainable, low cost, and low energy approach. Considering their ability to store carbon dioxide, resorb nutrients, and produce valuable bioproducts, they represent an alternative with ecological potential to other previously used treatment methods. This review discusses how microalgae are used in industrial applications including biofuels, pharmaceutical, cosmetic, agriculture, …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 2, 2025 Read article
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Analysis of Sound Transmission Loss in Hybrid Mufflers for Automotive Applications
Abstract: An exhaust system's noise level can be reduced with the use of a muffler. There is general recognition that baffled exhaust mufflers reduce noise emissions and increase the loss of sound transmission. The reduction of sound transmission can be further achieved by inserting sound-absorbing materials inside the muffler. Exhaust muffler systems with strategically positioned baffles have been shown to effectively reduce noise emissions, thereby improving acoustic performance. Baffles divert and …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 314–322 Read article
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Solar and Screw Hydropower Turbine for Power Generation – A Comprehensive Study
Abstract: Micro-hydro power plants rely on efficient screw pump systems to harness the kinetic energy of flowing watercourses for electricity generation. Landustrie, with nearly a century of expertise in screw pump technology, has been pivotal in advancing the field. This paper examines the evolution of screw pump technology within micro-hydro power generation, highlighting Landustrie's contributions and the introduction of automated screw pump selection software. In contrast, screw hydropower turbines use the …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 1, 2024 · pp. 14–19 Read article
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Fabrication, Numerical Simulation and Compact Modeling of Ph-BTBT-C10 Organic Thin Film Transistor
Abstract: Flexible and cost-effective electronics have been necessitated by the advent of organic thin-film transistors (OTFTs). This study aims to study the performance of OTFT using a 2-decyl-7-phenyl-[1]benzothieno[3,2-b][1]benzothiophene (Ph-BTBT-C10) organic semiconductor. The paper also explore accurate device modeling for technology optimization and circuit design that supports device improvement. This research includes device fabrication, numerical simulation using TCAD, compact modeling, and parameter extraction. By combining temperature-dependent bandgap narrowing with existing theories, this …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 1–18 Read article
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Improving Polymer Composite Properties Through Reinforcement Learning Guided Prototyping A Novel Approach for Material Engineering
Abstract: Innovative approaches integrating reinforcement learning (RL) and machine learning (ML) into the fields of polymer composite prototyping and soft actuator manufacturing for applications. This new an algorithm utilizing RL optimizes polymer composite fabrication parameters to enhance material properties efficiently. By iteratively adjusting parameters based on predefined objectives, the RL agent guides the prototyping process, promising to revolutionize polymer composite engineering. A finest control method for locked loop control of Shape …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 208–218 Read article
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Remote Controlled Boat for Water Pollution Monitoring
Abstract: The global issue of water quality degradation caused by pollution has become a critical environmental concern. Leaving water unchecked for an extended period make it unfit for human needs and eradicate the entire water ecosystem. Water being considered as a vital element in sustaining living things need to be protected. To address this challenge, novel technological solutions are being devised to effectively monitor and manage water resources. This study introduces …
Published in Journal of Water Pollution & Purification Research · Vol. 11, Issue 1, 2024 · pp. 34–43 Read article
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Reconfigurable AES Based AEAD For Multi-Mode Operation with Lightweight Compatibility
Abstract: The proposal is for a lightweight, multi-mode, reconfigurable authenticated encryption system with associated data (AEADs) based on AES. It is challenging to effectively integrate different AEADs in hardware because each one has its own mode of operation and/or subfunctions, even though some major AEADs share several basic components (such as the XOR-Encryption-XOR (XEX) scheme, block chaining, and advanced encryption standard (AES). This paper proposes hardware that effectively combines the basic …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 1, 2025 · pp. 54–68 Read article