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1484 articles for “Performance Enhancement”
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Experimental Study on the Impact of Polymer (PAM) in Enhancing Oil Recovery in Upper Assam Basin Oil fields
Abstract: The Upper Assam Basin, one of India’s most mature and extensively exploited hydrocarbon provinces, is experiencing declining oil production due to reservoir depletion and unfavorable crude oil–brine–rock (COBR) interactions. In this context, alkali–polymer (AP) flooding has emerged as a promising chemical enhanced oil recovery (EOR) strategy. AP flooding reduces interfacial tension (IFT) through in-situ surfactant generation by alkali and improves sweep efficiency via polymer-based mobility control, typically using polyacrylamide (PAM). …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 283–296 Read article
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Comparative Review of Innovations in Self-Compacting Concrete (SCC) Technologies
Abstract: Self-compacting concrete (SCC) is a revolutionary material in contemporary construction, with better workability and lower labor requirements without any sacrifice in strength or durability. The latest advances have been in terms of furthering its environmental and performance attributes by using different materials and methods. One of them is substituting ordinary Portland cement with high-volume fly ash and calcined calcium carbonate (BCC), cutting CO₂ emissions by as much as possible while …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 99–103 Read article
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Optimizing Nutrient Utilization and Microbial Protein Synthesis in Ruminants: Strategies for Enhanced Feed Efficiency and Sustainable Productivity
Abstract: This review investigates strategies to optimize nutrient utilization and microbial protein synthesis in ruminants, aiming to improve feed efficiency and enhance overall livestock productivity sustainably. It focuses on key aspects of feed formulation, including balancing non-structural carbohydrates with protein sources, incorporating bypass proteins, and selecting high-quality forages that improve fiber digestibility. The review examines various feed processing techniques such as steam-flaking, pelleting, and ammonia treatment, which enhance nutrient bioavailability and …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 Read article
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A Comprehensive Review of Green Hybrid Polymer–Inorganic Composite Systems Incorporating Palm Tree Ash and Titanium Dioxide
Abstract: The increasing requests on sustainable and high performance systems have motivated extensive investigations on polymer-based hybrid systems with bio-derived and/or functional inorganic fillers. In this review, the importance of palm tree ash (PTA) and titanium dioxide (TiO₂) as synergistic fillers for polymer–inorganic hybrid composites, particularly about structure–property relations, interfacial adhesion and durability performance, is discussed. Agricultural waste-derived palm tree ash (PTA) plays as a silica-rich filler which not only aids …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1811–1820 Read article
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AI-Designed Functionally Graded Polymer Composites for Multifunctional Thin Films
Abstract: The design of multifunctional polymer composite thin films requires simultaneous optimization of mechanical, optical, barrier, and thermal properties—objectives often in conflict when using conventional homogeneous materials. This study presents an artificial intelligence-driven framework for designing functionally graded material (FGM) architectures in polymer nanocomposite thin films. We integrated machine learning with physics-based modeling to optimize compositional gradients across film thickness, achieving superior performance compared to homogeneous and discrete multilayer alternatives. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1026–1041 Read article
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Design and Analysis of Quantum Dot Solar Cell Using SCAPS-1D Software
Abstract: Compared to conventional solar cells, quantum dot solar cells (QDSCs) have drawn a lot of attention due to their hybrid structure, low production cost, and greater power conversion efficiency. Nevertheless, carrier recombination in the quasi-neutral region (QNR) continues to limit their performance. The electron transport layer (ETL) and hole transport layer (HTL) are two of the layers that are most important in determining the overall efficiency of the device. The …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 · pp. 15–20 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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Advancements in Multiple-Input DC–DC Converters for Hybrid Renewable Energy Systems: Topologies, Control Strategies, and Applications
Abstract: Multiple-input DC to DC converters (MICs) are essential components in hybrid energy systems, enabling efficient management of diverse energy inputs from renewable sources such as solar photovoltaic (PV) panels and wind turbines. These converters facilitate the seamless integration of variable power outputs, addressing the intermittent nature of renewable energy through advanced power electronics. This paper provides a comprehensive review of the topologies, control strategies, and applications of MICs within renewable …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 10–17 Read article
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Evaluation of Indirect Tensile Strength and Unconfined Compressive Strength of Cement Treated Granular Subbase with Copper Slag
Abstract: This study investigates the mechanical properties of Cement Treated Granular Subbase (CTGSB) with the inclusion of copper slag as a partial replacement material. The research focuses on evaluating the Indirect Tensile Strength (ITS) and Unconfined Compressive Strength (UCS) to assess the material's suitability for road construction. Various mix proportions of copper slag were analyzed to determine their effect on strength development. The results revealed that the ITS increased from 0.79 …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 22–26 Read article
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DC Motor Control using Deep Reinforcement Learning for Enhanced Robustness and Precision
Abstract: DC motors remain the workhorse of industrial automation and mobile robotics, but achieving simultaneous high-speed transient response and negligible steady-state error under variable load conditions continues to challenge classical Proportional-Integral-Derivative (PID) controllers. These model-dependent systems often require extensive tuning and struggle to maintain optimal performance when confronted with parametric uncertainties, non-linear friction, or sudden voltage fluctuations. This study presents a novel, model-free control paradigm utilizing Deep Reinforcement Learning (DRL)—specifically, a …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 22–29 Read article
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Aerodynamic Optimization of UAV Wings Using Machine Learning
Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly deployed across defense, transportation, agriculture, and environmental monitoring, demanding improved aerodynamic efficiency to enhance endurance, stability, and payload capacity. Traditional aerodynamic optimization approaches, relying on computational fluid dynamics (CFD) simulations and wind tunnel experiments, are often time-consuming and computationally expensive. This study proposes a machine learning (ML)-driven framework for the aerodynamic optimization of UAV wing geometries, aiming to significantly reduce design cycles while improving …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 1–7 Read article
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Automatic Brake Failure Indication with Auxiliary Braking System
Abstract: Accidents in vehicles often happen due to diverse factors, with brake failure being a significant contributor resulting from inadequate maintenance and product defects. To protect human lives and reduce the risk of accidents, effective monitoring of brake systems is vital in the automotive industry. Vehicle safety encompasses not only the prevention of accidents but also the mitigation of their adverse effects on human health. Today’s cars come with innovative safety …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 1–7 Read article
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Design and Implementation of High-Speed Low Power Low Area Hybrid One Bit Full Adder Using CMOS Technology
Abstract: In this article, we'll take a look at a new kind of Full Adder (FA) design that mixes traditional Complementary Metal Oxide Semiconductors (CCMOS) with Pass Transistors (PTs) and Transmission Gates (TGs). To analyze the circuit's performance, we used the Mentor Graphics software package. Since all twenty (20) varieties of Full Adder circuits were able to be measured and compared, this research was conducted. When the clock rate of the …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 1, Issue 2, 2023 · pp. 29–39 Read article
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Interfacial and Tribo-Mechanical Performance of a TiO₂–Castor Oil Polymeric Nanofluid During Sustainable Machining of AISI 316L Stainless Steel Under MQL Conditions
Abstract: This research examines the tribo-mechanical performance and interfacial film characteristics of a TiO₂-reinforced castor-oil polymeric nanofluid during the turning of AISI 316L stainless steel under minimum-quantity lubrication (MQL). A Taguchi L9 orthogonal array was utilized to assess the synergistic effects of cutting speed, depth of cut, and coolant composition on surface integrity, while machining experiments were performed under dry, conventional, and TiO₂-nanofluid lubrication techniques. ANOVA and multiple-regression modeling were used …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 901–914 Read article
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Interpretable Skin Cancer Detection via Optimized CNN Models for Smart Healthcare Solutions
Abstract: Skin cancer is a common and potentially life-threatening condition, highlighting the importance of reliable and efficient diagnostic techniques. Recently, convolutional neural networks (CNNs) have demonstrated significant potential in automating the classification of skin cancer using thermoscopic images. Despite these advancements, the lack of interpretability in these models poses a barrier to their widespread use in clinical settings. In this study, we propose an interpretable CNN architecture optimized for skin cancer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 41–45 Read article
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Self-Healing Thin Films: Paving the Way for Smart, and Sustainable Corrosion Protection
Abstract: Corrosion is one of the serious problems that industries and infrastructures of every type face, ranked among such threats as huge economic losses and concerns to global safety. Recent developments in the area of self-healing thin films make them a really promising innovation for enhancing corrosion protection. This review considers the development, mechanisms, and applications of self-healing thin films. Detailed here are intrinsic and extrinsic self-healing strategies oriented toward chemical …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 1, 2025 · pp. 22–45 Read article
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Advances in Polymer-Modified Concrete using XAI
Abstract: Industry 4.0 technologies are being quickly adopted by the construction sector, opening new avenues for enduring operational and environmental issues. This sector looks at how explainable AI can forecast air and enhance the quality of building materials. XAI, AI, ML, and big data drive a new paradigm in polymeric material development. The effective XAI and ML-assisted design creates innovative, high-performance polymeric materials. It covers building a database and representing structures, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 133–144 Read article
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Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
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Continuous Glucose Monitoring Device
Abstract: Managing diabetes effectively requires regular monitoring of blood glucose levels, which is traditionally done through invasive methods like finger-prick tests. This work introduces a non-invasive blood glucose monitoring system utilizing the MAX30100 pulse oximeter sensor and Internet of Things (IoT) technology. The system estimates glucose levels by analyzing infrared (IR) light absorption properties, eliminating the need for direct blood sampling. Key components include the ESP32 microcontroller, cloud-based data storage, and …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 3, 2025 · pp. 1–6 Read article
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Electroactive Graphene–Polymer Nanocomposites for Self-Sustaining and Multifunctional Flexible Devices
Abstract: Graphene–reinforced polymer–composites were developed and systematically investigated to explore their multifunctionality in flexible electronic applications. The study specifically aims to correlate graphene-induced structure–property–function relationships with electroactive performance and self-sustaining behaviour in flexible devices. The hybridization of electroactive polymers—polyaniline (PANI), poly(3,4-ethylenedioxythiophene): polystyrene sulphonate (PEDOT:PSS), and polyvinylidene fluoride (PVDF)—with graphene nanoplatelets enabled simultaneous enhancement of electroactivity, energy-harvesting, and sensing functionalities. Morphological studies confirmed uniform graphene dispersion at 5 wt.% loading, forming continuous …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 260–271 Read article