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1133 articles for “Application analyses”
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A Sustainable EOQ Model for Declining Products Incorporating Cubic Demand, Variable Deterioration, Partial Backlogging, and Carbon Emission Optimization
Abstract: In this paper proposes a sustainable Economic Order Quantity (EOQ) model for inventory systems involving decaying items under cubic time-dependent demand, variable decaying rates, and partial backlogging while absolutely considering carbon emission costs. The model reflects practical market actions where demand initially increases and afterwards declines over time, and decay depends on the age of the item. To demonstrate the current model's applicability as well as evaluate the trade-off between …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Artificial Intelligence based Point of Care Device in Advanced Medical Diagnostic Techniques
Abstract: Application of Point-of-Care Testing (POCT) at medical sites provides instant diagnostic results that help doctors make quick decisions for patient care. The traditional point-of-care testing equipment faces restrictions because they test single parameters and experience calibration problems in addition to inefficient data management systems. POCT technology benefits from the integration of Artificial Intelligence (AI) which creates a novel system to solve current operational limitations. The presented study introduces an intelligent …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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Deep Learning for Real-Time Monitoring and Defect Detection in Additive Manufactured Polymer Composites
Abstract: Additives Fiber-reinforced polymer composite ADDs have high utility in making lightweight structural components, but due to process-related defects (interlayer delamination and reinforcement stacking) the integrity of consolidation during extrusion-based deposition is frequently compromised. This paper has presented a physics-informed deep learning framework that is applicable to real-time measurements of reinforced thermoplastic composite fabrication. Multimodal sensing was provided with thermal gradient, optical morphology, and acoustics emission signals being used to assess …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 974–999 Read article
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Natural Language Processing in Education: A Review of Applications, Challenges, and Future Directions
Abstract: Natural Language Processing (NLP) has increasingly become a transformative force within the field of education, offering innovative solutions and reshaping traditional methods of teaching, learning, assessment, and educational research. This review explores the evolving landscape of NLP applications in education, shedding light on significant advancements, ongoing challenges, and emerging opportunities. The integration of NLP into intelligent tutoring systems has enabled more personalized learning experiences, while automated assessment tools have enhanced …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 11–18 Read article
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Chitosan-based Polymer Composites for Antibacterial and Antiviral Drug Applications
Abstract: The natural substance chitosan is made from chitin. It is used a lot in medicine because it is safe for the body, breaks down naturally, and kills germs. To find out how chitosan-based polymer mixes could be used to make drugs that kill germs and viruses, this study looks into them. By reacting with the cell walls of bacteria, chitosan has been shown to kill bacteria and stop viruses from …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 609–620 Read article
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Multi-Sensor System for Underwater Pothole Detection to Enhance Road Safety During Monsoon Seasons
Abstract: Monsoon seasons across India and similar tropical regions severely compromise road safety by causing water accumulation that conceals dangerous potholes beneath stagnant pools, leading to frequent vehicle damage, tire punctures, and fatal accidents. Traditional detection methods relying on smartphone accelerometers, ultrasonic sensors, or machine vision fail under flooded conditions due to acoustic signal reflection at water surfaces and optical distortions from glare and turbidity. This research proposes an innovative multi-sensor …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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An Evidence Based Analytical Study on Capability of ChatGPT in Advanced AI Based Patient Drug Counseling
Abstract: The application of ChatGPT in providing drug counseling to patients offers the best approach to enhancing policies of healthcare support in decision-making. Aim and Objectives: The present study mainly involves an evaluation of the capability of ChatGPT in the management of drug counseling among patients suffering from various metabolic disorders. Methodology: The present study was a community-based interventional study conducted for a period of 12 months from October 2023 to …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 1, 2025 · pp. 8–13 Read article
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Polymer-Nanowire Hybrid Composites Based on PEDOT: PSS and AgNWs for High-Performance Conductive Films in Flexible Devices
Abstract: The growing demand for flexible photovoltaic and wearable optoelectronic devices has intensified research into polymer-based conductive composites that provide transparency, flexibility, and electrical efficiency. In this work, we report the fabrication and characterization of a hybrid polymer nanocomposite electrode comprising silver nanowires (AgNWs) embedded within a PEDOT:PSS matrix, deposited on flexible polyethylene terephthalate (PET) substrates. The PEDOT:PSS polymer phase, modified with 5 vol% dimethyl sulfoxide (DMSO) and 0.1 vol% Zonyl …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 236–250 Read article
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Predicting Multiple Diseases Using Machine Learning: A Data-Driven Approach
Abstract: The increasing prevalence of chronic and life-threatening diseases highlights the need for innovative healthcare solutions that enable early detection and proactive management. The Multiple Disease Prediction Platform is a web-based system utilizing machine learning (ML) and deep learning (DL) algorithms to analyze user-inputted health data, generating real-time predictions of potential health risks. By leveraging Python’s Streamlit library, the platform provides an interactive and accessible diagnostic experience, eliminating the need for …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 16–35 Read article
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Conductive Polymers for Electro-Mechanical Systems: Structure–Property Relationships and Mechanical Behavior Under Stress
Abstract: Conductive polymers represent a unique class of functional materials that combine the electrical characteristics of metals with the mechanical flexibility of polymers. These dual properties are critical for the next generation of electro-mechanical systems, including wearable sensors, soft robotics, structural health monitoring (SHM), and biomedical actuators. However, the mechanical performance of conductive polymers under diverse stress conditions—such as elongation, cyclic loading, bending, and impact—remains a key challenge, limiting their long-term …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 25–30 Read article
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Development and Performance Evaluation of Polymer-Modified Geopolymer Composites Incorporating GGBS
Abstract: This research investigates the development and performance of geopolymer-based composite materials formulated using Ground Granulated Blast Furnace Slag (GGBS) as a reactive mineral component within an aluminosilicate polymer matrix. The study aims to create an eco-efficient and structurally sound inorganic polymer composite comparable to M35-grade concrete, produced entirely under ambient curing conditions. A series of mixes with varying GGBS replacement ratios (0–100%) was prepared, maintaining a constant binder content of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1145–1165 Read article
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Cognitive AI-Based Quality Control and Operational Optimization of Polymer Composites for Healthcare Applications
Abstract: The use of polymer composite materials in healthcare is on the rise because of their adjustable mechanical characteristics, biocompatibility and structural flexibility. Yet, it is difficult to ensure stable quality of such composites due to process-related defects, heterogeneity of the material and the lack of real-time adaptive control. The proposed study suggests the use of cognitive AI-based framework of quality control and optimization of operation of polymer composite systems which …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 571–591 Read article
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Mechanical Characterization of Green Composite Brake Pads Reinforced with Coconut Shell Waste
Abstract: In the present work, coconut shell powder proposed as a replacement material for the eco-friendly brake linings. The composites for brake pad were developed with other sizes of the coconut shell particles, namely (200 µm, 300 µm, 400 µm and 500 µm) The developed samples were evaluated for morphological, mechanical, physical and worability properties. The SEM micrograph proved that the coconut shell particulates are well dispersed in the composite everywhere …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1636–1648 Read article
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Thermal Management of Different Composites Materials Using a Convergent and Straight Vortex Tube
Abstract: The present study focuses on an in-depth and meticulous exploration into the intricate realm of thermal management in three distinct yet widely utilized composite materials—namely, Liquid Crystal Polymer (LCP) Composites, Glass Fiber Reinforced Polymers (GFRPs), and Aramid Fiber Composites (Kevlar). This investigation employs an innovative counter-flow vortex tube system, meticulously analyzing and comparing the thermal efficiency of these materials under different intake configurations. Specifically, two distinct geometrical intake designs—a straight …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 252–266 Read article
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Machine Learning Framework for Optimizing Polymer–Metal Oxide Composites as Charge Selective Layers in Perovskite Solar Cells
Abstract: To achieve high-performance and stability of perovskite solar cells (PSCs), it was important to incorporate innovative interfacial materials to tune the balanced charge extraction, low recombination, and enhanced operational lifespan. On this note, polymer composites with metal oxides have been proposed as promising candidates as charge selective layers (CSLs), whereby they present a rare combination of tunable energy levels, improved film forming abilities, and better interface engineering capabilities. In this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1073–1098 Read article
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Intelligent Systems: A study on AI and Machine learning
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are dynamic branches of computer science that focus on developing systems capable of executing tasks commonly associated with human intelligence. These activities encompass making choices, resolving issues, understanding language, identifying patterns, and learning through experience. Artificial Intelligence refers to the broad area of designing systems and frameworks that enable machines to perform tasks resembling human thought and behavior. This field integrates diverse technologies …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Understanding the Impact: Adult BCG Vaccination in the Fight Against Tuberculosis
Abstract: Tuberculosis (TB) remains a big global health challenge, with significant mortality rates, especially in developing nations. India holds most TB cases throughout the globe. As HIV rates, multidrug-resistant tuberculosis (MDR-TB), and extensively drug-resistant tuberculosis (XDR-TB) continue to increase, the situation is deteriorating. These all come in the way of the End TB epidemic campaign by the World Health Organization (WHO) by 2030. Immunology and vaccinology represent critical fronts in TB …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 · pp. 1–6 Read article
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Development of Automobile Scaled Model from CAD (Blender) Using FDM 3D Printing
Abstract: Additive manufacturing (AM), also known as 3D printing, has emerged as a disruptive technology with the potential to transform automotive manufacturing. This paper reviews the applications of AM across the automotive product development lifecycle. The paper examines case studies demonstrating the use of AM for developing computer-aided design (CAD) models from concept sketches. Overall, AM brings several benefits such as design flexibility, faster time-to-market, and distributed production. However, there are …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Passenger car fuel economy: Insights from big data analytics
Abstract: The increasing availability of real-world vehicle telematics through On-Board Diagnostics II (OBD-II) systems has enabled data-driven evaluation of passenger car fuel economy beyond conventional laboratory-based test cycles. While standardized certification procedures ensure repeatability, they often fail to capture the influence of real-world traffic conditions, driver behaviour, and transient vehicle operation. This study presents a structured Big Data Analytics (BDA) approach for analysing high-frequency OBD-II data collected from a gasoline passenger …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 8–19 Read article
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Machine Learning Based Optimization of Polymer Structure Property Relationships in Composite Material Systems
Abstract: In modern engineering applications, polymer-based composite materials have garnered a lot of attention because of their lightweight nature, high strength-to-weight ratio, and changing physical features. In order to maximize the relationships between polymer structure and properties in composite materials, this study suggests a strategy based on reinforcement learning (RL). The research utilized the Polymer Composite Properties Dataset, which contains 12,700 records associated with polymer matrices, reinforcement fillers, interfacial bonding characteristics, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 242–255 Read article