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919 articles for “Comparative performance”
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Enhance Thermal and Conductive Properties through Graph Neural Network-Based Machine Learning-Driven Advanced Polymer Material Design
Abstract: Advanced polymer materials are widely used in modern engineering and manufacturing because of their lightweight nature, flexibility, durability, and adaptability to different applications. However, designing polymer materials with enhanced thermal and electrical properties remains a challenging task. The performance of polymers is influenced by a complex combination of molecular structures, filler materials, processing parameters, and nanoscale interactions. Conventional optimization methods often require extensive experimental trials and computational resources, making it …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Enhancing Combustion Efficiency and Emission Reduction in Single Cylinder CI Engines: A Study on Waste Dairy Scum Methyl Ester Biodiesel Blends with Aluminium Oxide Nanoparticles
Abstract: In response to the urgent need for sustainable energy solutions and environmental considerations, this study explored the utilization of waste dairy scum methyl ester biodiesel blended with diesel and enhanced with Al2O3 nanoparticles as an additive. The biodiesel was prepared by blending waste dairy scum methyl ester with diesel and incorporating 100 ppm Al2O3 nanoparticles. Experimental tests were conducted on a single-cylinder diesel engine, comparing neat diesel, B30 biodiesel blends …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 15–28 Read article
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Integration of AI and Machine Learning in Smart Environment Monitoring Systems
Abstract: The Internet of Things (IoT) plays an important role in our lives. Many real-time changes in logistics environment monitoring and location tracking can be measured using IoT. It uses a wireless sensor network to monitor important changes in the environment. In this article a comparative review study has been performed in which one side wireless sensor network is integrated with IoT only while on the other side wireless sensor network …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 2, 2024 · pp. 13–19 Read article
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Deep Reinforcement Learning-Based Intelligent Energy Management Strategy for Battery–Supercapacitor Hybrid Energy Storage Systems in Electric Vehicles
Abstract: As the number of EVs increases, smart solutions for energy management are needed that will optimize energy use, prolong battery life and boost vehicle performance. The application of conventional rule based and optimization-based Energy Management Strategies (EMS) for Battery–Supercapacitor Hybrid Energy Storage Systems (HESS) often leads to sub-optimal power management, supercapacitor mismatch and battery degradation when subjected to varying driving conditions. This study aims to design an intelligent energy management …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Performance of Some Modified Ordinary Ridge Regression Estimators
Abstract: In multiple linear regressions, if the data suffer from severe multicollinearity, then the ordinary least squares (OLS) method become more sensitive to it, and in such a case OLS could yield wrong sign for some of the regression coefficients. Therefore, when such a situation arises, we could use one of the biased regression methods viz., ridge regression, principal component regression, and so on, as an alternative method to OLS. This …
Published in Research & Reviews : Journal of Statistics Read article
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Techno-economic Assessment of a Domestic Refrigerator with Aluminium-based Suction Line and Capillary Tube
Abstract: The present work reports the experimental performance evaluation of aluminum suction line-based domestic refrigerators. Furthermore, it compared domestic refrigerators with conventional copper capillary tubes and suction lines using R600a as a refrigerant. Performance parameters: energy consumption, ice-making time, and pull-down time was reduced significantly compared to conventional copper suction and capillary tube. Refrigerants having Ambient temperature for ice making test and pull down were initially set at 43°C and that …
Published in Journal of Polymer & Composites Read article
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Enhancing MRO Documentation Through Automated Translation of Non-Standard English to Simplified Technical English Using Offline LLMS
Abstract: Maintenance, Repair, and Overhaul (MRO) operations rely heavily on accurate and consistent documentation to ensure operational safety and compliance. However, the presence of non-standard English in technical documents often leads to ambiguity, misinterpretation, and inefficiencies in maintenance processes. This study presents an innovative solution that leverages an offline Large Language Model (LLM) to automatically translate non-standard English in MRO documents into standardized and technically precise language. By integrating predefined linguistic …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 9–15 Read article
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A Study of Metabolic Responses of R.Q, VO₂, and VCO₂ in Two Different Swimming Strokes
Abstract: This study investigates the metabolic responses, including Respiratory Quotient (R.Q), oxygen intake (VO₂), and carbon dioxide output (VCO₂), in freestyle and butterfly stroke swimmers. Understanding these responses is crucial for optimizing training and improving competitive performance. The study employed a comparative cross-sectional design involving 30 university-level swimmers (15 freestyle and 15 butterfly) who completed treadmill tests. Measurements of VO₂ and VCO₂ were taken using an S147 Rapid Response O₂/CO₂ Analyzer, …
Published in Recent Trends in Sports · Vol. 1, Issue 2, 2024 · pp. 1–7 Read article
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Investigation of Mechanical Properties of Hollow Bricks Incorporating Aerated Aggregates: A Polymer-Cement Composite Approach
Abstract: The rapid advancement of construction technologies has necessitated the development of lightweight, thermally efficient, and sustainable building materials. Hollow bricks, due to their inherent voids, offer substantial reductions in dead load and enhanced insulation properties. However, their mechanical performance often falls short when compared to conventional solid bricks. To address this limitation, this study explores the synergistic integration of aerated aggregates and polymer-cement composites (PCCs) in hollow brick production. Aerated …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 92–105 Read article
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Low Velocity Impact Behaviour of Corrugated Foam Sandwich Panel
Abstract: Composite sandwich structures, renowned for their high flexural stiffness and low weight, are widely used across industries such as aerospace, automotive, and marine. However, their durability can be compromised by impact-related damages, which affect both the core and face sheets. This study explores the performance of corrugated sandwich panels compared to conventional designs under low-velocity impacts. Using a drop weight impact testing machine, panels made from polyurethane foam cores and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 79–99 Read article
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Advancing Pavement Durability and Sustainability through Glass Fiber Reinforced Concrete Technology
Abstract: This research evaluates the application of Glass Fiber Reinforced Concrete (GFRC) for improving road pavement durability and sustainability. The primary objective was to ascertain the optimal glass fiber content that enhances pavement performance while maintaining economic feasibility. To achieve this, experimental investigations compared the mechanical properties of GFRC to traditional Portland Cement Concrete (PCC). The experiments focused on key performance metrics such as tensile, compressive, and flexural strengths, with GFRC …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 760–774 Read article
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Development and Thermal-Soiling Performance Evaluation of Boron-Nitride Reinforced Polymer Nanocomposite Coatings for Solar Photovoltaic Applications
Abstract: Surface heating, dust buildup, and weakening triggered by ultraviolet (UV) light all have a vast effect on the long-term performance of solar photovoltaic (PV) modules. These issues all lower power conversion efficiency in real-world open-air circumstances. A nanocomposite coating built on fluoropolymer (FEP) that is reinforced with hexagonal boron nitride (h-BN) nanoparticles is invented by this study to enhance thermal dissipation, optical transmission, and resistance to dirt at the same …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 218–223 Read article
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Effects of Nano Additives on Performance and Emission Characteristics of CI Engine with Mahua Biodiesel and Diesel Blends as Fuel
Abstract: Due to growing environmental concerns and the imminent depletion of fossil fuels, the development of eco-friendly alternative fuels, such as biodiesel, is imperative. To improve the performance and emission properties of diesel engines utilizing biodiesel blends, the effective introduction of metallic and non-metallic nano-additives has been established. This research aimed to investigate the blending ratios of biodiesel (B0, B10, B20, and B40) in a compression ignition engine. Furthermore, the impact …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 41–49 Read article
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Credit Card Fraud Detection Using Machine Learning Techniques
Abstract: Credit card fraud has become a significant concern in today's digital economy, with billions of dollars being lost annually to fraudulent transactions. Conventional rule-based approaches frequently prove inadequate in addressing the constantly changing strategies employed by fraudsters. Machine learning methods have emerged as robust solutions for detecting credit card fraud, presenting the capability to accurately identify fraudulent transactions promptly. In this study, we investigate the efficiency of three widely used …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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Hydraulic vs. Electric: A Comparative Review of Brake and Clutch Actuation Systems
Abstract: This review article compares hydro and electric actuation systems for clutches and brakes in detail, examining their design concepts, characteristics, and probable uses. Long-used in the automotive sector, hydraulic appliances use fluid pressure transmission to function. They are dependable and easy to use, but they have drawbacks such fluid leaks and complicated systems. On the other hand, electromechanical actuators serve their purpose in electric actuation systems, which provide benefits including …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 2, 2023 · pp. 20–27 Read article
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Influence of Rice Husk Ash and Granite Powder on Strength Properties of Concrete
Abstract: Concrete is the mostly utilised material in the field of Civil Engineering. As its consumption is huge in amount and so the scarcity of the raw materials has become a major issue. The important components of concrete are binding material along with the aggregates. Alternative materials are chosen for the replacement of cement to achieve sustainable concrete. Along with cement replacing materials, reusable wastes are also adopted to utilise in …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 133–138 Read article
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Gradient Boosted Regression Tree Approach to Predicting Toxic Interactions on X and YouTube
Abstract: In the digital age, social media platforms play a vital role in facilitating user engagement, encompassing both positive interactions and avenues for negative, often harmful behaviors. Recognizing and addressing toxic exchanges is paramount to nurturing healthy online communities and preserving users’ well-being. This study introduces a novel method for identifying toxic interactions by utilizing Gradient Boosting Regression Trees (GBRT) algorithm, a machine learning approach renowned for its exceptional accuracy and …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 7–14 Read article
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An Empirical Analysis of Bluetooth Low Energy Reliability Challenges for Offline Messaging Applications
Abstract: In today's hyper-connected world, modern communication relies heavily on centralised internet infrastructure, making robust offline messaging solutions increasingly essential. A crucial vulnerability is revealed by network failures, natural disasters, and distant region deployments: communication breaks down when internet connectivity does. Due to its low power consumption and almost ubiquitous availability in contemporary smartphones, Bluetooth Low Energy (BLE) has become a promising candidate for offline, device-to-device communications. This study presents an …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 2, 2026 Read article
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Role of Clay Liners in Municipal Solid Waste Landfills: A Review
Abstract: Rapid population growth has significantly increased the generation of municipal solid waste (MSW) in urban and suburban regions. Disposal of MSW in landfills without proper liner systems may lead to leachate migration and subsequent contamination of groundwater and surrounding soils. The use of liner systems at the base of landfills is therefore essential to minimize leachate percolation and protect the environment. Geosynthetic clay liners (GCLs) and compacted clay liners (CCLs) …
Published in Journal of Geotechnical Engineering · Vol. 13, Issue 2, 2026 · pp. 50–56 Read article
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Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article