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1472 articles for “Performance improvement”
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Enhanced Bioavailability of Nutrients in Pelleted Feeds: Implications for Performance, Health, and Meat Quality of the Broiler Chicken
Abstract: The optimization of nutrient bioavailability in pelleted feeds is crucial for enhancing the performance, health, and meat quality of broiler chickens. This review explores the complex mechanisms by which pelleting improves nutrient availability, including physical changes in feed structure, thermal and chemical effects, and the reduction of anti-nutritional factors. It also highlights the significance of improved gut health and digestion, which contributes to enhanced nutrient absorption and utilization. The paper …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 · pp. 12–32 Read article
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Comparative Performance Study of Concrete Incorporating Ceramic and Recycled Concrete Waste: Strength, Durability, and Sustainability
Abstract: Construction and demolition waste, especially ceramic and concrete debris, is a byproduct that has been increasingly amassed over time and causes environmental pollutants. Valorizing these wastes as raw materials to produce sustainable construction materials represents an alternative option to minimize waste, conserve resources, and reduce CO2 emissions. This paper aims to review the performance and environmental advantages of using ceramic and recycled concrete as an alternative fine aggregate in new …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 1–8 Read article
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Thermo–Electrical Performance Enhancement of a Lightweight Polymer–Metal Hybrid Electrostatic Precipitator Using Epoxy-Based Composite Housing for Industrial Particulate Control
Abstract: Airborne particulate emissions, particularly PM₁₀ and PM₂.₅ produced by industrial activities and combustion processes, they continue to pose a significant threat to both the environment and public health. Electrostatic precipitators (ESPs) are widely recognized for their ability to achieve high collection efficiencies; however, conventional metallic constructions often lead to increased system weight, higher fabrication costs, and long-term corrosion-related challenges. In this study, a lightweight hybrid material approach is proposed by …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 652–668 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 11–23 Read article
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Ultrasonic Dispersion of Halloysite Nanotubes for Enhanced Mechanical, Thermal, and Morphological Performance of Epoxy Composites
Abstract: Halloysite nanotube (HNT)-reinforced epoxy nanocomposites were prepared by mixing HNT with bisphenol-A epoxy (LY 556) using ultrasonication, followed by compression molding. HNT contents of 0–5 wt.% were used. The composites were evaluated for tensile strength, flexural strength, Shore D hardness, Izod impact strength, and thermal stability using thermogravimetric analysis (TGA). The fractured tensile surfaces were also examined to understand the failure mechanism and interaction between HNT and the epoxy matrix. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Advanced Design and Prototyping with Fabrication, Architecture, And Material Design Techniques For 3D Printing Hybrid Polymer Composites
Abstract: Hybrid polymer composites are big steps forward in the field of 3D printing. They combine different materials to improve their engineering qualities, usefulness, and use potential. This essay looks at the advanced design and testing methods needed to use 3D printing to make and create mixed polymer materials. First, we look at material design methods, with a focus on choosing plastics and support materials that help the composite have the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 22–36 Read article
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Energy-efficient HVAC System with Decision Tree Classifier and Real-time SMS Notification
Abstract: This research paper explores the design and implementation of an energy-efficient heating, ventilation, and air conditioning (HVAC) system aimed at optimizing energy consumption and enhancing operational efficiency. The system incorporates high-efficiency components, including axial flow fans, motors, and intelligent variable frequency drives, achieving an overall system efficiency of up to 85%. By utilizing both static and dynamic pressures, the HVAC system operates more effectively under varying conditions compared to traditional …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 29–34 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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Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article
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Polymer-Coated Composite Granules of Clarithromycin: Design, Characterization, and Functional Evaluation for Taste Masking and Antibacterial Performance
Abstract: Background: Masking the unpleasant taste of clarithromycin is essential to improve patient adherence, especially among pediatric and elderly groups. However, enhancing palatability while maintaining its antibacterial effectiveness remains a significant formulation challenge. This study focused on developing polymer-coated clarithromycin granules (B1–B10) using novel non-sugar-based polymers and assessing their antibacterial activity against Staphylococcus aureus Methods: Clarithromycin granules were produced using a fluidized bed coating technique with non-saccharide polymers, specifically Eudragit E-100 …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1042–1050 Read article
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ANN-Based Adaptive Rotor Current Control for DFIG Wind Systems: A Comparative Dynamic Analysis
Abstract: The variability of rotor current management in Doubly Fed Induction Generator (DFIG)-based wind energy conversion systems is crucial for maintaining stability in power extraction under fluctuating wind and grid circumstances. Traditional proportional-integral (PI) controllers, despite their ease of use, frequently exhibit diminished performance when faced with parameter uncertainty, nonlinear behaviors, and rapid wind fluctuations.This paper presents an adaptive rotor current control strategy, which is an Artificial Neural Network (ANN)-based approach …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 1, 2026 · pp. 41–53 Read article
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Development and Mechanical Characterization of Hybrid Natural Fiber-Reinforced Polymer Matrix Composites for Structural Applications
Abstract: The growing demand for sustainable, lightweight, and cost-effective materials in engineering has driven significant interest in natural fiber-reinforced polymer composites (NFRPCs). Among various options, hybrid composites combining two or more natural fibers offer a balanced improvement in mechanical properties while maintaining environmental benefits. This study investigates the fabrication and mechanical performance of jute–hemp fiber-reinforced epoxy composites. Specimens were prepared using the hand lay-up technique followed by compression molding to ensure …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1181–1189 Read article
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Enhanced Heat Transfer in Double Pipe Heat Exchanger with Circular Fins Using Copper Nanofluid and Twisted Tape Inserts: A Computational Study
Abstract: The enhancement of convective heat transfer in a double-pipe heat exchanger utilizing circular finned twisted tape inserts and helical screw-tapes with centre rods, in conjunction with copper oxide nanofluid as the heat transfer medium was studied in this project. Computational Fluid Dynamics (CFD) simulations were conducted across Reynolds numbers ranging from 500 to 5000 to analyse heat transfer characteristics. The investigation focuses on Nusselt number improvement and friction factor analysis …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 11–22 Read article
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Pelvic Floor Muscle Strengthening in Antenatal Period Among Primigravida Cases at Jorhat, Assam
Abstract: Aim: The study aimed to evaluate the effectiveness of pelvic floor muscle (PFM) strengthening exercises during the antenatal period among primigravida women in Jorhat, Assam, with a focus on improving pelvic floor muscle strength and its impact on pregnancy outcomes. Purpose: To assess whether pelvic floor muscle exercises (specifically Kegel exercises) can enhance PFM strength in pregnant women, using the Modified Oxford Grading Scale (MOS), and to compare these effects …
Published in International Journal of Midwifery Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 35–42 Read article
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Enhancing Customer Engagement with AI-Driven Movie Recommenders: Integrating Neural Collaborative Filtering, Sentiment Analysis, and Conversational Agents
Abstract: In today’s competitive digital landscape, user engagement is a critical factor for the success of entertainment platforms, especially those offering movie recommendations. This study introduces a comprehensive AI-driven framework designed to enhance customer interaction, satisfaction, and loyalty through the intelligent integration of multiple deep learning models. The system combines three core components: Neural Collaborative Filtering (NCF) for generating personalized movie recommendations based on user behavior and preferences, Long Short-Term Memory …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 45–54 Read article
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Tribological Characteristics of Dental Crowns
Abstract: Dental tribology is an emerging field that focuses on improving the design and material choices for artificial dental systems. This paper looks at different dental crown materials, their clinical efficacy and the consequences of tribological wear on teeth due to interfacial movement. Ceramics are commonly utilized in fixed dental restorations because of their superior mechanical and cosmetic qualities, which include exceptional fracture resistance and clinical endurance. Ceramic crowns, often used …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 550–559 Read article
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Performance Comparison of Noise-Tolerant, High- Performance CMOS Domino Logic Configurations
Abstract: In high-performance VLSI chip design, domino logic configuration is often preferred over static logic due to its faster operation and smaller area footprint, especially in deep submicron (DSM) technology. However, DSM noise has become a significant challenge in domino-based circuits, leading to compromises in the reliability and signal integrity of integrated circuits (ICs). The switching threshold of domino logic, defined as the input voltage level at which the gate output …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 35–50 Read article
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Leveraging Digital Marketing Techniques for Newly Developed Software Using AI
Abstract: In today’s digital era, most software developers prefer using paid advertising campaigns for their newly developed software to strengthen their online visibility and attract new users; this research explores some strategies to increase and maximize the reach of newly developed software through digital marketing campaigns, particularly focusing on the use of artificial intelligence (AI) tools to optimize campaign performance and increase the reach of newly developed software. To fully assess …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 12–22 Read article
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Effect of Nano-Additives on the Emissions, Performance, and Combustion Characteristics of Syzygium cumini (Jamun) Biodiesel Powered DI Engine
Abstract: Renewable and cleaner diesel engine fuel has received a lot of attention recently as a result of the depletion of fossil resources. To address this issue, biodiesel can be a potential substitute for diesel fuel. The finest B20 Jamun blends were combined with three different types of nanoadditives to create Syzygium cumini (Jamun) biodiesel, which was tested in a naturally aspirated diesel engine. Global researchers are starting to develop new …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 77–82 Read article
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Develop the Design of Sustainable Polymer Materials: Applying Reinforcement Learning, IoT-Enabled Monitoring, and Data-Driven Manufacturing Approaches
Abstract: Sustainable polymer materials development is a must due to resource constraints, environmental concerns, and the demand for designed materials with high performance. When it comes to material optimization, energy utilization, process unpredictability, and lifecycle sustainability, traditional polymer production methods have their challenges. Reinforcement Learning (RL), Internet of Things (IoT) monitoring, and data-driven production are utilized in the design and manufacturing of sustainable polymer materials. It is recommended to use Internet …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article