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1084 articles for “Performance Optimization”
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Recent Trends in Rotary Kiln and Refractory Material Patterns in Cement Production: A Review Approach
Abstract: The manufacturing of cement and other industrial operations depend heavily on rotary kilns, which use refractory materials to endure high temperatures and challenging chemical conditions. With an emphasis on their effects on durability and operating efficiency, this study looks at the most recent developments in rotary kiln technology and refractory material choices. Various rotary kiln designs, typical refractory material patterns, and the difficulties posed by kiln failures are all covered. …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 2, 2025 · pp. 27–34 Read article
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Investigation of Mechanical and Thermal Behavior of Glass Fiber–Enhanced PEEK Parts Produced via Fused Filament Fabrication
Abstract: This study investigates the thermal and mechanical properties of Polyetheretherketone (PEEK) polymer and Glass Fiber (GF) reinforced PEEK polymer fabricated using the Fused Filament Fabrication (FFF) process. Specimens were printed in three building orientations—X, Y, and 45°—to evaluate the influence of layer deposition on polymer material performance. Tensile and flexural tests revealed that GF-PEEK polymer exhibited significantly higher Ultimate Tensile Strength (110 MPa in X-orientation), Young's Modulus (4.5 GPa), and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 65–78 Read article
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SpecForesight: A Predictive Analytics Pipeline for Laptop Price Forecasting
Abstract: This paper frames laptop pricing as a supervised predictive analytics problem, transforming product specifications into feature-rich signals to forecast price with calibrated regression models and operational guardrails against drift. A structured pipeline ingests tabular listings, performs data cleaning, and engineers domain-informed features (e.g., central processing unit (CPU) family and clocks, graphics processing unit (GPU) tiering, memory/storage density, display, and touch capabilities), followed by encoding and normalization to optimize model learnability. …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 61–71 Read article
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The Interface of Hardware and Intelligence: The Function of Operating Systems
Abstract: Operating systems play a central role in bridging the gap between computer hardware and user interaction. They simplify complex machine-level operations and transform them into user-friendly and efficient digital experiences. At their core, operating systems are responsible for managing essential tasks such as process scheduling, memory allocation, file system organization, and device coordination. By handling these functions effectively, they ensure that hardware resources are used in an optimal and balanced …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 Read article
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An Overview of Composite Materials: Historical Development, Classification, and Advancements in Natural Fiber-Reinforced Polymer Composites
Abstract: Composite materials have brought about a paradigm shift in numerous industries by integrating distinct components to improve material performance. Consisting of a matrix and reinforcement, composites synergistically combine the unique properties of each constituent to deliver superior strength, enhanced durability, and remarkable flexibility. These attributes have made composite materials indispensable in diverse fields such as automotive, aerospace, construction, and marine engineering. This article provides a comprehensive exploration of the historical …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 158–175 Read article
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Smart Fast Charging System with Active Cell Balancing for 4S1P Battery Packs and Smart Charger for EVs
Abstract: In the realm of electric vehicles (EVs), efficient charging solutions play a pivotal role in enhancing user experience and advancing sustainability. This project introduces three innovative concepts aimed at revolutionizing EV charging infrastructure: Parallel Charging, Smart Charger, and Active Cell Balancing. Parallel Charging introduces a groundbreaking approach to charging by efficiently delivering power to multiple batteries simultaneously. By doing so, it significantly reduces overall charging time, thereby enhancing convenience for …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 1, 2024 Read article
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Microstructural Characterisation and Analysis of Mechanical Behaviour of Hybrid AA 7075/7178 Fabricated Using Die Casting Technique
Abstract: AA are being increasingly used in the field of structural engineering owing to their desirable mechanical properties coupled with their recyclable and sustainable nature, thus contributing significantly towards reduction of carbon footprints and development of circular economy. Till date numerous research projects have been prompted to investigate the structural performance of aluminium alloy structures and develop alternatives with enhanced performance parameters. AA 7xxx (Al-Zn-Mg-Cu) are being widely used in variety …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 441–451 Read article
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Effect of Hybridization on Tensile and Flexural Strengths of Carbon, Glass and Steel Fiber Composites: A Comparative Study
Abstract: Fiber reinforced polymer composites are widely recognized for their high strength-to-weight ratio, excellent corrosion resistance, and design flexibility making them ideal for various engineering applications. Despite their numerous advantages, traditional composites possess significant limitations such as restricted mechanical performance under diverse loading conditions. To address this, hybrid fiber polymer composites are developed while enhancing material performance. In the present study, synthetic (carbon, glass) and metallic (steel) fiber reinforced composite materials …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 621–635 Read article
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MentaLLaMA: Advancing Mental Health Insights with Instruction-Finetuned Large Language Models
Abstract: The growing prevalence of mental health challenges in contemporary society has highlighted the urgent need for advanced, interpretable, and reliable artificial intelligence solutions that can support mental health assessment and intervention. In response to this need, this research introduces a novel collection of open-source, instruction-tuned large language models (LLMs) specifically designed to facilitate transparent and accurate mental health evaluations. Leveraging a newly developed dataset, which integrates multiple tasks and diverse …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 08–15 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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Modelling and Control of Grid-Connected PV–Battery Hybrid System Using Dynamic Voltage Restorer for Enhanced Power Quality
Abstract: The integration of large-scale photovoltaic (PV) systems into modern power grids introduces significant challenges in maintaining power quality, including voltage sags, swells, and harmonics. To address these issues, this study presents a comprehensive modelling and control framework for a grid-connected PV–Battery hybrid system equipped with a Dynamic Voltage Restorer (DVR). The PV array is modelled using detailed mathematical equations, while the DC–DC converter incorporates advanced Maximum Power Point Tracking (MPPT) …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 2, 2025 · pp. 43–58 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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Optimization and Structural Integrity of Truck Chassis Using Finite Element Analysis
Abstract: The chassis of a truck is a crucial component, and it acts as a framework for the body and other components of the truck. It must also be strong enough to withstand pressures like shock, twisting, vibration, and more. When building a chassis, having enough bending stiffness for better handling characteristics is just as important as strength. Deflection, maximum stress, and maximum equilateral stress are crucial design factors for the …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 1, 2025 · pp. 31–37 Read article
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Investigation on bi-layer knitted fabric produced using recycled polyester and banana fiber for improved moisture and thermal comfort properties
Abstract: This research investigates thermal comfort characteristics of bi-layer knitted fabrics made of banana fibers and recycled polyester (rPET). The main aim is to maximize thermal comfort of textile products by taking advantage of the distinctive characteristics of these two varieties of eco-friendly materials. Recycled polyester and banana fibers were combined to make the bi-layer knitted materials, which is produced as separate inner and outer layers to maximize performance. The features …
Published in Journal of Polymer & Composites Read article
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Investigation on bi-layer knitted fabric produced using recycled polyester and banana fiber for improved moisture and thermal comfort properties
Abstract: This research investigates thermal comfort characteristics of bi-layer knitted fabrics made of banana fibers and recycled polyester (rPET). The main aim is to maximize thermal comfort of textile products by taking advantage of the distinctive characteristics of these two varieties of eco-friendly materials. Recycled polyester and banana fibers were combined to make the bi-layer knitted materials, which is produced as separate inner and outer layers to maximize performance. The features …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 19–24 Read article
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Taguchi Method: A New Approach for Evaluating and Optimizing Parameters of TIG Welding
Abstract: The construction and industrial sectors must improve the quality of their welds. An experimental plate fabricated of SS304L was to be tungsten inert gas (TIG) welded in this experiment, and an effort was made to enhance the mechanical properties. The Taguchi L9 orthogonal array was used to organize the experiment, and the mechanism of advancement was used to simulate the performance. The tensile strength of the welded junction rises in …
Published in Journal of Polymer & Composites · Vol. 11, Issue 2, 2023 · pp. 121–129 Read article
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Hybrid Machining Processes in Advanced Manufacturing: A Review of Mechanisms and Industrial Applications
Abstract: Hybrid machining processes (HMPs) have gained considerable attention in recent years as an effective approach to address the growing complexity and performance demands of modern manufacturing systems. These processes combine two or more machining techniques—such as mechanical, thermal, chemical, or electrical methods—into a single setup, enabling enhanced productivity, precision, and adaptability, particularly for hard-to-machine materials like ceramics, composites, and superalloys. The integration of distinct energy sources results in synergistic effects …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 19–24 Read article
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Design of Integrated DC/DC Converter Topology for Hybrid Vehicle
Abstract: Hybrid vehicles traditionally rely on separate DC/DC converters for both the battery and fuel cell, which often leads to increased size, higher costs, energy losses, and limited performance. This paper presents an improved solution: a compact, integrated DC/DC converter with a non-isolated, multi-port design. This new approach simplifies the system by combining the fuel cell and battery into a single, unified converter, reducing the typical drawbacks of conventional designs. The …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 1, 2025 · pp. 25–31 Read article
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Advancements in Photocatalysis: Applications in Environmental Remediation
Abstract: The study of radioluminescence, a phenomenon where materials emit light upon exposure to ionizing radiation, has expanded significantly in recent years, finding applications in various fields, including environmental remediation, radiation detection, and dosimetry. This paper reviews recent advancements in radioluminescent technologies, particularly focusing on Radioluminescent Isotope Cells (RLICs) and semiconductor colloidal quantum dots (cQDs). The use of RLICs, particularly those based on 63Ni, demonstrates enhanced energy conversion efficiency through optimized …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 39–44 Read article
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A Comprehensive Review of CNN-Based Framework for Multi-Sign Detection of Diabetic Retinopathy in Fundus Images Using Public Datasets
Abstract: Diabetic retinopathy (DR) is one of the main causes of vision impairment. Blindness prevention and effective treatment depend on early detection. A thorough deep learning-based framework for the automatic segmentation and simultaneous detection of exudates, hemorrhages, and microaneurysms – three important DR indicators – from retinal fundus images is presented in this work. These three pathological signs’ corresponding annotated image patches, along with background (no-sign) areas, were used to train …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article