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1472 articles for “Performance improvement”
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Clinical Evaluation of Ayurvedic Intervention (Mahamanjishathadi Kwatha, Kaishora Guggulu, Panchatikta Ghrita, Eranda Taila) in the Management of Ekakushtha W.S.R. to Psoriasis
Abstract: Introduction: Psoriasis is a chronic skin condition causing scaly plaques, typically on extensor surfaces, scalp, and nails, and often leads to quality of life impairments, including physical and mental health challenges. Ayurveda offers a holistic approach targeting root causes and balancing body and mind, while conventional treatments focus on symptom management through therapies that may cause side effects and recurrence. Aim and Objectives: The study aimed to assess the efficacy …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 1, 2025 Read article
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Study on Partial Replacement of Cement with Pinus Fiber and Nano Silica in M30 Concrete Paver Blocks: A Fiber-Reinforced Polymer-Cement Composite Approach
Abstract: This study investigates the partial replacement of cement in M30 grade concrete paver blocks using nano silica and Pinus fiber, with a primary focus on mechanical performance, sustainability, and long-term durability and promoting sustainability. Portland cement, a major contributor to global CO₂ emissions, can be partially substituted using supplementary materials to create eco-efficient construction solutions. Nano silica, due to its high pozzolanic reactivity and ultrafine size, improves the microstructure and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 63–76 Read article
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Representation-Theoretic Symmetry Reduction and Fuzzy-Grey Optimization of Modular Vibration Systems
Abstract: This paper presents a representation-theoretic framework for symmetry-aware vibration control in modular structural systems. Exploiting cyclic symmetry, the mass, damping, and stiffness operators are block-diagonalised into irreducible representations, reducing the full structural dynamics to a collection of lower-dimensional modal subsystems. This decomposition provides both computational efficiency and a rigorous mathematical description of symmetry-preserving dynamic behaviour. To account for imperfections arising in practical implementations, near-symmetry defects in stiffness and damping are …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 22–30 Read article
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Improvement of mechanical properties for PMMA based Denture material
Abstract: Denture material properties can be improved by various fiber addition. The most often used denture materials are polymethyl methacrylate (PMMA) resins; nevertheless, they do not have a high flexural strength (FS). This investigation compared the mechanical characteristics of an injection-molded polyamide. Deflex, an additional injection-molded PMMA base material, SRIvocap, and a typical compression-molded PMMA (Meliodent). The flexural qualities (deflection, bending strength, and bending modulus) of 100 different denture base materials …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 155–165 Read article
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A Majority Function Based Full Subtractor
Abstract: In the present landscape of very large-scale integration (VLSI) technology, the imperative to implement Boolean functions with minimal gate count remains a cornerstone of efficient circuit design. This pursuit has only grown more critical with the evolution of low-power design strategies, which now offer significantly enhanced benefits compared to traditional approaches. The trifecta of performance, affordability, and dependability continue to drive innovation in this field, shaping the trajectory of technological …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 2, 2024 · pp. 8–14 Read article
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Deep Learning Meets IoT: Hybrid Approaches for Botnet Detection
Abstract: Rapid advancement in the Internet of Things (IoT) changed everything, making it possible for seamless interconnectivity of devices and altering data-driven decision processes. This study delves into the intersection of IoT with deep learning approaches and hybrid approaches for managing botnet in IoT systems, especially security, efficiency, and performance optimization. Leveraging deep learning models, for example, CNNs and RNNs, will help the network achieve more intrusion detection and data analysis. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 18–27 Read article
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Robotic Assistance Using ESP32 Microcontroller
Abstract: The Robotic Assistance System using ESP32 Microcontroller is a voice-interactive and manually operable robotic model designed to improve human convenience and engagement in daily life. This project integrates modern technologies such as Alexa-based voice commands for intelligent interaction and Bluetooth-based manual control for user flexibility. By combining artificial intelligence with embedded systems, the robotic assistant is capable of performing a wide range of activities. These include entertainment-related functions like playing …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
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Enhancing Mechanical and Durability Properties of Coconut Shell Concrete Using Fly Ash
Abstract: The increasing demand for sustainable and lightweight construction materials has driven research into alternative aggregates for concrete production. This study investigates the mechanical and durability properties of coconut shell (CS) concrete with varying percentages of fly ash replacement. The research evaluates compressive strength, split tensile strength, water absorption, and workability to determine the feasibility of CS concrete as a structural material. Experimental findings indicate that incorporating 10% fly ash (CSF10 …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 19–24 Read article
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AI-Enabled Recycling of Thermoplastic Polymer Waste in Hospitals: A Circular Economy Pathway Toward Green Hospital Certification
Abstract: This review research explores the latest role of AI in improving thermoplastic waste management for hospitals in terms of segregation accuracy, operational efficiency, and circular economy outcomes. Seventy-five relevant studies were analysed, and it was reported that AI-based systems, especially CNNs, YOLO models, and sensor-fusion approaches, achieved high accuracy in the identification and sorting of medical plastics, often above 90%. Early evidence also reveals improvements in the reduction of contaminants, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 170–182 Read article
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The Role of Artificial Intelligence and Machine Learning in Redefining Global Healthcare Systems and Advancing Medical Innovation
Abstract: Health Services are being revolutionized with AI and ML through improved accuracy, efficiency and accessibility in the delivery of health care. With AI and ML, it is now possible for health care professionals to assess varying amounts of complex clinical data in a relatively short amount of time, therefore, creating opportunities for early detection of disease, increasing the odds of accurate diagnosis, and improving the ability to make informed clinical …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 14–19 Read article
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Recent Advancements and Layering Techniques in Nanoparticle-Reinforced Hybrid Composites: A Comprehensive Analysis
Abstract: This review examines the advancements in nanoparticle-reinforced fiber composites, focusing on natural fibers, synthetic fibers, hybrid composites, and fiber metal laminates (FMLs). Nanoparticles such as SiO₂, TiO₂, Al₂O₃, and graphene, introduced at 0.5–3% volume, have significantly enhanced mechanical, thermal, and wear properties. Comparative studies reveal that hybrid composites reinforced with 1–2% nanoparticles show a 20-30% increase in tensile strength and a 15-25% improvement in thermal stability compared to non-reinforced composites. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 83–89 Read article
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Exploring The Performance Dynamics of Basalt Fibre Reinforced Polymers: Mechanical and Viscoelastic Insights
Abstract: Basalt fibre reinforced polymer (BFRP) composites are gaining significant attention as sustainable alternatives to traditional reinforcement materials due to their superior mechanical performance, thermal stability, and eco-friendliness. This study examines the tensile, flexural, impact, and viscoelastic properties of BFRP composites fabricated via vacuum-assisted resin transfer molding (VARTM) using varying fibre volume fractions (20%, 30%, and 40%) and fibre orientations (unidirectional and bidirectional). The results reveal that composites with 40% fibre …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 12–22 Read article
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Biophilic Boost: Enhancing Productivity and Satisfaction at Work
Abstract: In an era where workplace well-being and productivity are increasingly recognized as critical to organizational success, the concept of biophilic design has gained significant attention. Biophilic Boost: Enhancing Productivity and Satisfaction at Work" explores the integration of natural elements into office environments to improve employee well-being, satisfaction, and productivity. This study delves into the psychological and physiological benefits of biophilic design, including reduced stress, increased creativity, and enhanced focus. The …
Published in International Journal of Architectural Design and Planning · Vol. 2, Issue 2, 2024 · pp. 1–17 Read article
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Squeeze Casting of Hybrid Aluminum Matrix Composites: A Critical Review of Process Optimization, Reinforcement Strategies, and Performance Outcomes
Abstract: Increasing demand for lightweight, performance-oriented components in automotive, aerospace, and defense industries has driven advancements in squeeze casting, a hybrid technique merging forging and die-casting advantages to produce near-net-shape aluminum matrix composites (AMCs) with superior mechanical-tribological properties. This review critically examines the interplay of process parameters (e.g., squeeze pressure: 70–150 MPa, melt temperature: 650–800°C), reinforcement characteristics (volume fraction ≤10%, particle size: 10–71µm), and interfacial engineering strategies (flux-assisted bonding, ultrasonic dispersion) …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 2, 2025 · pp. 52–60 Read article
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Analysis aspects of pressure tank: A review
Abstract: This review paper presents a detailed analysis of pressure vessels, focusing on finite element analysis (FEA) to evaluate structural integrity. Pressure vessels are widely used in industries such as chemical processing, power plants, and oil refineries, where they are subjected to extreme temperature and pressure conditions. Ensuring their safe and efficient operation requires a thorough understanding of stress distribution, deformation characteristics, and failure mechanisms. This study reviews existing research on …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 49–55 Read article
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Nanoparticle and Lipid-Based Vaccine Delivery Systems: A Systematic Review of Platforms, Stability, Pharmacokinetics, and Immune Modulation
Abstract: The rapid evolution of vaccine technologies over the past decade has highlighted the transformative role of nanoparticle (NP) and lipid-based delivery systems in modern immunization practices. These platforms – including polymeric nanoparticles, lipid nanoparticles (LNPs), liposomes, nanoemulsions, and solid lipid nanoparticles (SLNs) – enable enhanced antigen stability, improved cellular uptake, targeted antigen delivery, and potent immune activation. This systematic review critically examines the physicochemical foundations, manufacturing approaches, stability challenges, pharmacokinetic …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 1, 2026 · pp. 18–36 Read article
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Depression Detection Using AI with Chatbot Support
Abstract: Depression is a major global health concern and a significant contributor to suicide rates worldwide. India reports a high number of suicide cases, making the early detection of mental distress and depression essential for timely intervention. This research presents an AI-based system for depression detection that integrates deep learning, natural language processing (NLP), and a chatbot for user support. The system analyzes facial expressions using convolutional neural networks (CNNs) and …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 01–08 Read article
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Microbially Modified Sustainable Cementitious Composites Using Industrial Ash Fillers
Abstract: The growing demand for sustainable, durable construction materials has driven the development of bio-engineered cementitious composites incorporating industrial by-products and self-healing mechanisms. This study investigates a microbially modified cementitious composite that integrates industrial ash fillers with bacteria-based self-healing technology to enhance mechanical performance and microstructural integrity while reducing cement consumption. Cement was partially replaced with industrial ash at 20%, 30%, and 40% replacement levels, and a uratolytic bacterial strain (Bacillus …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 331–350 Read article
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AI-Driven Optimization of Biopolymer Composite Formulations Using IoT Data Streams
Abstract: Biodegradable polymer composites have emerged as a sustainable alternative to petroleum-based materials in packaging, biomedical, and structural applications. However, traditional formulation techniques for reinforced polymer composites often lack precision and fail to adapt to real-time variations during processing, resulting in suboptimal material performance. This research proposes a real-time AI-IoT-enabled framework to optimize biopolymer composite formulations. The goal is to intelligently tune composite properties such as mechanical strength, moisture resistance, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 85–100 Read article
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Design and Development of an Automatic Blower System for Improved Efficiency in Industrial Applications
Abstract: The design and development of an automatic blower system to improve productivity in manufacturing processes are presented in this research article. The suggested system employs advanced control algorithms and sensors to improve the blower's function while minimizing energy usage. The goal of the research is to automate the blower system's operation by incorporating intelligent features, which will decrease the need for human intervention and increase overall efficiency. Experimental results reveal …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 1, 2023 · pp. 10–14 Read article