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1982 articles for “Optimization” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Machine Learning-Based Quantification of Polymer Structure Property Relationships for Predictive Material Design
Abstract: Polymer structures exhibit complex, hierarchical arrangements that strongly influence macroscopic properties, yet consistent quantification remains challenging due to nonlinear interactions and limited unified modeling strategies. Existing approaches inadequately capture generalized structure–property mappings across diverse polymer systems. This research aims to establish a machine learning-based quantification model for polymer structure–property relationships to support predictive material design. A Polymer Structure Property Dataset of 5,000 polymer samples includes structural descriptors and experimentally measured …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 737–754 Read article
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Industrial Prognostics via Ensemble Machine Learning: An Uncertainty Aware Framework for RUL Estimation on NASA FD004 Telemetry
Abstract: Estimating the Remaining Useful Life (RUL) of industrial machinery in real-time is now vital for both operational safety and smart resource management. In the aviation industry, turbofan engines deal with constantly shifting flight conditions, making traditional, scheduled maintenance both expensive and prone to error. This paper addresses the flaws in common “point-prediction” AI models, which offer a single failure date without any margin for error, by introducing a new, uncertainty-aware …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Performance, Combustion and Emission analysis of Sunflower oil based Biodiesel using Non-Dominated Sorting Genetic Algorithm-II
Abstract: Biodiesel is used as alternate fuel of I. C. Engines for so many years. It is obtained from various edible and non-edible oils including waste cooking oils through trans-esterification process in the presence of catalyst. The suitable amount of biodiesel mix with commercial diesel can be used to run the compression ignition engines. The optimum combination of engine input parameters is the challenging task as required by the design engineer …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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Developed an Approach to Monitor the Technical Conditions of the Wheels by Measuring the Rolling Stock-track Forces
Abstract: With the rapid development of railway transportation, there is a growing need to improve the method of measuring the impact force exerted by rolling stock on the rail track. Monitoring the technical conditions of the rail track and wheels is crucial. This research aimed to investigate the improvement of existing systems for wheel monitoring during operation and propose a method to develop rolling stock diagnostic systems while the train is …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 1, 2023 · pp. 23–34 Read article
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Parametric Analysis of Energy Saving in Building Walls by Applying Various Insulation Materials
Abstract: The parameters which include Present Worth Factor, the wall structure, thermal conductivity of insulation material, thickness of insulation and the heating /cooling load of building, affect the energy savings in buildings. This study focuses on parametric analysis of the energy savings for building walls by using insulations (Expended Polystyrene and Glass wool). The annual energy requirements of house have been obtained by heating Degree-Days (DD) concept. For economic analysis, the …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 113–118 Read article
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The Utilization of Oil Entrapped Floating Alginate Beads in a Gastroretentive Delivery System is Intended to Improve the Bioavailbility of Telmisartan Incorporating Principles of Bioinformatics
Abstract: Oil entrapped floating calcium alginate beads of Telmisartan were successfully prepared using sodium alginate as polymer and two different oil phases of mineral oil and olive oil by emulsion gelation method. The FT-IR spectra of final optimized formulation confirms no drug- polymer incompatibility. The floating time of beads was found to be more than 12 hrs suggesting that the method used for prepration was effective. The floating time of optimized …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 1, 2024 · pp. 21–38 Read article
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Federated Learning for Energy Management in Next Generation Smart Cities
Abstract: Federated learning has emerged as a promising approach for addressing the challenges of energy management in next-generation smart cities. This decentralized approach to machine learning allows collaborative model training among distributed data sources, while safeguarding data privacy and security. In this study, we explore the application of federated learning techniques to optimize energy consumption, enhance grid stability, and promote sustainability in smart city environments. By aggregating data from diverse sources …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 1, 2024 · pp. 19–27 Read article
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Development and Fabrication of Biohydrogel for Targeted Delivery of Delafloxacin for Bacterial Skin Infections
Abstract: The escalating challenge of bacterial resistance necessitates innovative drug delivery systems to enhance the efficacy of antibiotics. This study focuses on the development and optimization of a biohydrogel formulation for the targeted delivery of Delafloxacin, aiming to improve its therapeutic outcomes against resistant bacterial strains. Utilizing a 3² factorial design, biohydrogel formulations incorporating Poly(N-isopropylacrylamide) (PNIPAM) and Genipin were synthesized. The optimization process was guided by Design Expert software, focusing on …
Published in Research & Reviews: A Journal of Drug Design & Discovery Read article
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Improving Polymer Composite Properties Through Reinforcement Learning Guided Prototyping A Novel Approach for Material Engineering
Abstract: Innovative approaches integrating reinforcement learning (RL) and machine learning (ML) into the fields of polymer composite prototyping and soft actuator manufacturing for applications. This new an algorithm utilizing RL optimizes polymer composite fabrication parameters to enhance material properties efficiently. By iteratively adjusting parameters based on predefined objectives, the RL agent guides the prototyping process, promising to revolutionize polymer composite engineering. A finest control method for locked loop control of Shape …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 208–218 Read article
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Formulation and development of Lamivudine Nanoemulsion by using Emulsifying Polymers and It’s Evaluation
Abstract: Nanoemulsion is a novel approach to medicine delivery that helps to increase the bioavailability of drugs that aren’t particularly soluble in water. In this research work, nanoemulsion of Lamivudine was formulated by using polymers such as SPAN 80, TWEEN 80 and Whey protein concentrate with the help of Ultrasonication technology. The formulation was optimized. It was evaluated by assessing pH, viscosity, turbidity, in vitro franz diffusion study, particle size distribution, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 22–35 Read article
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An Experimental Investigation on Surface Roughness of Laser Beam Machining of Aluminium Alloy
Abstract: Laser beam machining (LBM) is a cutting-edge technique widely utilized for precision machining of advanced materials. This experimental investigation focuses on the surface roughness of aluminum alloy (Al 6061) during LBM. The study systematically examines the impact of process parameters such as laser power, cutting speed, and gas pressure on surface roughness (Ra). The significance of surface roughness in determining the quality and functionality of machined components is emphasized. The …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 82–104 Read article
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Experimental and Statical Analysis of Glass Fibre Reinforced Concrete
Abstract: During the most recent couple of decades, with the chance of fortifying the solid with fiber support to an incredible preferred position, the solid development field has encountered an expanded consideration. Various strands utilized are steel, manufactured, glass and common filaments, a portion of the planned advantages of filaments in concrete are improved split control and the chance of planning progressively thin structures. Glass fibre is a vital ingredient used …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 266–273 Read article
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Human Milk and Infant Growth: A Systematic Review of Nutritional Outcomes
Abstract: Human milk is recognized as the optimal source of nutrition for infants, playing a critical role in their growth and development. This systematic review explores the evidence linking human milk consumption to various growth parameters in infants, including weight gain, length, and head circumference while considering the influencing factors of prematurity and health status. The composition of human milk, rich in essential macronutrients (proteins, fats, carbohydrates) and micronutrients (vitamins and …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 3, 2024 · pp. 1–6 Read article
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Super Ni 718 Machinability Investigation on Electrical Discharge Machining Using Hybrid Al 7(075+178) Electrode Under Abrasive Assisted Dielectric
Abstract: As aluminum alloy is the lightest metal and has the best mechanical qualities among metal, it has proven to be a perfect choice for strututal industry, particularly in the aerospace sector.7xxx alloys from the Al alloy family are widely used in aviation constructions due to their outstanding processing, welding efficiency, great specific strength & stiffness, and high toughness. The two aluminum alloys that are most frequently used in airplane structures …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1–17 Read article
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Performance Analysis of Dual Junction Solar Cell Devices utilizing Subcells of In0.51Ga0.49P and GaAs to Study Key Solar Cell Parameters via TCAD based Simulation
Abstract: In the present work, a multi-junction solar cell was designed to obtain better performance over single-junction solar cells. The proposed structure is composed of different layers of diverse semiconductor materials stacked on each other. Here, an In0.51Ga0.49P/GaAs double-junction solar cell was outlined as having a distinctive composite material (GaAs) as the tunneling junction. To optimize the solar cell's effectiveness, In0.47Ga0.15Al0.37P was used in the window layer and the back-surface field …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 829–837 Read article
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Path Planning using DDPG Algorithm and Univector Field Method for Intelligent Mobile Robot
Abstract: Path planning is one of the most fundamental challenging tasks in robotics and its purpose is to lead the robot from the initial position to the goal without any collision through the optimal route. With the rapid development of artificial intelligence technology, AI has been widely studied for robot path planning and a method by deep reinforcement learning (DRL) was proposed. In general, path planning methods with DRL need discrete …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Computational Biomodeling: Transforming Drug Design with Advanced Simulations
Abstract: Computational biomodeling has emerged as a transformative approach in the field of drug discovery, significantly enhancing the efficiency and precision of identifying and optimizing potential drug candidates. This article explores the various computational techniques utilized in drug design, including molecular docking, molecular dynamics (MD) simulations, free energy calculations, and virtual screening, and examines how these methods collectively contribute to the drug development process. The integration of these advanced simulations allows …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 24–29 Read article
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Comparative Efficacy and Safety of Safinamide and Rasagiline in the Treatment of Parkinson’s Disease: A Meta-Analysis and Systematic Review
Abstract: Background: Recent studies have suggested Rasagiline and Safinamide monotherapy as potential management options for Parkinson’s disease. Parkinson’s disease, a neurological disorder characterized by tremors and movement difficulties, necessitates treatments aimed at managing clinical symptoms. Levodopa remains the primary effective treatment for Parkinson’s disease symptoms; however, its long-term use often leads to motor complications in many patients. Additional therapeutic drugs, such as dopamine agonists and monoamine oxidase B inhibitors, including Safinamide …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 74–91 Read article
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Phase-Specific Nutrient Requirements in Broilers: Implications for Behavior, Gut Health, Performance, Meat Quality, Welfare, and Economics
Abstract: The broiler industry plays an inevitable role in global food security, requiring optimal formulation strategies tailored to each growth phase, starter, grower, and finisher for sustainable production. This review explores phase-specific nutrient requirements and their implications for broiler performance, meat quality, welfare, and economics. During the starter phase (1–10 days), nutrition focuses on immune development, gut health, and skeletal growth, with high protein and low energy needs. In the grower …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 1, 2025 · pp. 5–15 Read article
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The Role of AI in Modern Circuit Design and Simulation
Abstract: The integration of artificial intelligence (AI) in circuit design and simulation is revolutionizing the electronics industry by enabling faster, more efficient, and innovative design processes. This article explores the transformative role of AI in automating tasks traditionally reliant on manual expertise, such as schematic generation, component optimization, and fault detection. It highlights how machine learning algorithms and generative AI tools are improving design accuracy, reducing time-to-market, and enabling cost-effective prototyping. …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 1, 2025 · pp. 9–14 Read article