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1059 articles for “Model optimization”
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Cognitive AI-Based Quality Control and Operational Optimization of Polymer Composites for Healthcare Applications
Abstract: The use of polymer composite materials in healthcare is on the rise because of their adjustable mechanical characteristics, biocompatibility and structural flexibility. Yet, it is difficult to ensure stable quality of such composites due to process-related defects, heterogeneity of the material and the lack of real-time adaptive control. The proposed study suggests the use of cognitive AI-based framework of quality control and optimization of operation of polymer composite systems which …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 571–591 Read article
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Rooftop Layout Optimization for PV Installation using GIS
Abstract: In this work, we develop a new modelling process to optimize the PV installation layout on industrial building rooftops; the model searches for maximizing the number of installed PV panels in a defined spot area, characterized by its shape, size, tilt and orientation. The study focuses on areas of latitude between tropics, but is useful for other latitudes. The method is applied to an industrial conglomerate of reference, made up …
Published in Journal of Remote Sensing & GIS Read article
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Communication Safety: Ensuring Safety One Tower at a time
Abstract: This study deals with the necessary safety measures taken into the consideration while modelling the communication towers. The improvements in stiffness, mass and damping because of the increased strength in materials is discussed here. The study also carries out the possible ways of providing solutions to the towers being struck by lightning and how the devices and the circuitry are safeguarded. The way of estimating the wind forces on the …
Published in Journal of Industrial Safety Engineering · Vol. 7, Issue 1, 2020 · pp. 22–28 Read article
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Multi Objective Optimization of Weld Bead Geometry Parameters of Pulsed Current Micro Plasma Arc Welded Inconel 625 Using Enhanced Non-dominated Sorting Genetic Algorithm
Abstract: Pulsed Current Plasma Arc Welding (PCPAW) is one of the most widely used welding processes in sheet metal manufacturing industry. In any fusion arc welding process, the weld bead geometry plays an important role in determining the mechanical properties of the weld and hence, quality of the weld. Moreover, the geometry of weld bead involves several simultaneously multiple quality characteristics such as front width, back width, front height and back …
Published in Journal of Materials & Metallurgical Engineering · Vol. 3, Issue 1, 2013 · pp. 17–24 Read article
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Development and Optimization of Cold Rolled Slitting Machine Process
Abstract: Slitting machine is now widely used for dividing a wide strip into a plurality of narrow strips or for trimming the unnecessary or unacceptable edge portion of relatively wide sheet metal stock. In some cold rolling slitting machine a problem has been found that the camber is formed at the time of cutting. When the strip passes through skin pass operation, burr is formed due to friction which will result …
Published in Journal of Production Research & Management · Vol. 9, Issue 1, 2019 · pp. 1–8 Read article
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Role of Artificial Intelligence in Simulation and Therapeutics in Neurodegenerative Diseases
Abstract: Neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, etc., are a cause of significant mortality rates due to a lack of curative treatments and their complex nature. Traditional therapeutic methodologies have several disadvantages such as slow diagnosis and a lack of effective treatments. They mainly focused on the management of the disease rather than curing it. The integration of artificial intelligence in the simulation and therapeutics of neurodegenerative …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 19–29 Read article
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Optimizing Mechanical and Durability Properties of Eco-Friendly Composite Materials Using Recycled Fillers and ML Techniques
Abstract: The increasing demand for sustainable construction materials has intensified the exploration of recycled fillers as partial or full replacements for natural aggregates in composite materials. This study investigates the mechanical and durability performance of polymer matrix composites incorporating processed recycled fillers derived from construction and demolition (C&D) waste. Three distinct processing methods were employed to prepare the recycled fillers: untreated (URF), single processed (SPRF), and double processed (DPRF), with replacement …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 269–309 Read article
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OPTIMIZATION OF TWO WHEELER ENGINE BLOCK BY VARYING THE ENGINE FIN PROFILES AND MATERIALS
Abstract: Here in our thesis we are going to design the fins using different profiles and materials to optimize the better material with better design profile which is suitable for 100cc engine. So here we are even going to use different material for fins to test the engine heat efficiency. In our thesis we are going to compare or product optimized using the original aluminum fins which are being used in …
Published in Trends in Machine design · Vol. 10, Issue 2, 2023 · pp. 12–21 Read article
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Forecasting Commodity Prices Using Deep Learning Techniques: An Empirical Evidence from India
Abstract: Commodity price forecasting is instrumental in financial markets, providing framework for investment choices and risk management practices. Traditional models, including statistical and machine learning approaches, have limitations in capturing the nonlinear and volatile nature of commodity prices. Deep learning (DL) techniques have emerged as promising alternatives, leveraging advanced neural networks to enhance predictive accuracy. This study presents a thorough and comprehensive examination of deep learning applications in commodity price prediction, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 08–12 Read article
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Handwritten Sanskrit Word Recognition: A Deep Learning Approach Using AlexNet
Abstract: Handwritten Sanskrit word recognition poses significant challenges due to the intricate structure of the script and the considerable variations in handwriting across individuals. To address these challenges, this research introduces a novel methodology employing transfer learning with the AlexNet convolutional neural network. The study utilized two distinct datasets: a specifically curated Sanskrit word image dataset containing 2616 samples, alongside a broader Devanagari character dataset used for validation purposes. The established …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 33–43 Read article
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Optimization of Combined Cooling, Heating and Power Plant
Abstract: In today’s world where there are energy crises, there is a need to conserve the same. In order to conserve the energy, it is imperative to utilize its available forms as per the requirement that arise from the end user. In this paper, modeling and optimization of a combined cooling, heating and power (CCHP) plant is done wherein minimization of exergy destruction is set as an objective function. Electric and …
Published in Emerging Trends in Chemical Engineering · Vol. 4, Issue 1, 2017 · pp. 7–14 Read article
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Exploring the Influence of SS 316L Nanoparticle Integration on the Flexural Strength of PMMA
Abstract: In the present study, a nano composite PMMA was prepared with the help of hot plate magnetic stirring and probe sonication at different loading conditions of nano sized reinforcement material SS 316L. In order to study the effect of independent factors (the amount of reinforcement material, stirring speed, and sonication time) on response variable (flexural strength), the central composite experimental design of response surface methodology (RSM) was utilized. The analysis …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 75–83 Read article
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Malicious Network Traffic Detection Using Hybrid Feature Selection with Ensemble Neural Network
Abstract: The detection of malicious network traffic is a critical aspect of cybersecurity, aiming to protect sensitive data and maintain the integrity of network systems. This study introduces a novel approach that combines hybrid feature selection with ensemble neural networks to enhance the accuracy and efficiency of malicious network traffic detection. The dataset used in this study was obtained from Kaggle and offers a wide-ranging and varied collection of network traffic …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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Use of the Computer Statistics in Oncology
Abstract: Currently, the use of computer statistics and computer statistical modeling in oncology for obtaining an accurate diagnosis, determination of the choice of treatment method and its correction in the process of ongoing treatment, prediction of the outcome of the disease, and evaluation of the effectiveness of the chosen treatment tactics is a decisive factor. The use of computer statistics, based on an adapted scientific and statistical package of the SSP …
Published in Research & Reviews : Journal of Statistics Read article
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Development and Evaluation of Neural Network Model for Incident Detection on Urban Arterials using Simulated Database
Abstract: Incident detection in urban arterial situation is more difficult than the similar job in freeway situation because of the presence of traffic signals and other intersections with associated recurrent queue. Most of the earlier automatic incident detection algorithms address mainly freeway situation. This study aims at development, calibration, validation and testing of an ANN model for incident detection in Kuala Lumpur (KL) arterials using simulated incident database. Database for the …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 2, 2014 · pp. 1–14 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 Optimization of Heat Dissipation Systems for Electric Vehicle Battery Packs: A Study on Advanced Cooling Techniques
Abstract: In order to guarantee battery safety, performance, and longevity, the increasing popularity of electric vehicles (EVs) has increased the demand for efficient heat management systems. With an emphasis on cutting-edge cooling methods, this study explores the design and optimization of heat dissipation systems for EV battery packs. The study compares cutting-edge techniques like phase change materials, micro channel heat sinks, and thermoelectric cooling systems with more conventional cooling techniques like …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–10 Read article
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Optimization of Surface Roughness in Cylindrical Traverse Cut Grinding of Glass Fibre Reinforced Epoxy Composite
Abstract: Glass fibre reinforced plastic materials are increasingly used in many engineering applications. Making these materials with high level of dimensional accuracy and fine finish has increased enormously. Present work is planned to investigate the effects of grinding parameters infeed, longitudinal feed and work speed on surface roughness in traverse cut cylindrical grinding of glass fibre reinforced epoxy composite. Box-Behnken experimental design has been used to conduct the experimental runs. Analysis …
Published in Journal of Production Research & Management · Vol. 10, Issue 3, 2020 · pp. 27–33 Read article
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Accelerate Drug Development with Pharmacokinetic Softwares
Abstract: During continuously evolving technologies and mechanized equipments, there has been a tremendous growth in the pharmaceutical sector over the past few decades. New technologies, software, devices, and techniques are being developed or researched upon with each passing day. By leveraging pharmacokinetic software, researchers can efficiently analyze vast datasets from preclinical and clinical studies, extracting actionable insights that inform decision-making early in the development cycle. This predictive capability not only accelerates …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
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Emerging Trends in Interdisciplinary Perspectives and Future Frontiers in Modern Symmetry
Abstract: Symmetry, long recognized as a cornerstone of the natural sciences, has increasingly found relevance across a variety of disciplines, from physics and mathematics to economics, architecture, and systems theory. This interdisciplinary review explores the expanding role of symmetry as a conceptual and analytical tool, highlighting its applications in diverse fields. In classical and quantum physics, symmetry principles form the foundation for conservation laws, particle interactions, and field equations. In economics …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 1, 2025 · pp. 26–30 Read article