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1058 articles for “Model optimization”
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Removal of AB 10B from Water by Copper Oxide Nano- Particles through Adsorption: A Kinetics and Thermodynamic Study
Abstract: Copper oxide nanoparticle was synthesized by a simple method. Consequently, adsorbent was characterized by using FTIR, XRD, and SEM techniques. The study of optimized parameter contains pH, initial dye concentration, adsorbent dose and contact time. Langmuir, Freundlich and Tempkin models were pragmatic for evaluating adsorption equilibrium data of AB 10B as the adsorbent but experiment show the Langmuir model is best for it. The adsorption kinetic model study was done …
Published in Journal of Catalyst & Catalysis · Vol. 4, Issue 3, 2017 · pp. 37–48 Read article
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New Analytical Expression of OPRA Over InverseGamma Shadowed Fading Channel with Selection Combining Diversity
Abstract: Abstract: Considering wireless communications, different factors are responsible for attenuation and degradation of signal which is term as fading. Generally fading is divided into two parts large scale fading and small scale fading. It is very essential to develop a fading model that characterizes the channel considering that effects. In this paper analysis of channel capacity under Optimal Power Rate Adaption (OPRA) over Inverse-Gamma shadowed distribution with Selection Combining diversity …
Published in Journal of Microelectronics and Solid State Devices · Vol. 6, Issue 1, 2019 · pp. 18–21 Read article
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Design of a Closed Loop Boost Converter with Parametric Variation Analysis of PI Controller for Constant Output Voltage Applications
Abstract: The DC-DC converters have an unregulated input dc voltage and a constant or regulated output dc voltage. Switching DC-DC voltage converters have two elements: A controller and a power stage. The power stage regulates the switching elements and converts input voltage to output voltage. The controller controls the switching operation to regulate the output voltage. The two systems are linked by a feedback loop that compares the actual output voltage …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 3, 2016 · pp. 1–13 Read article
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A Disaggregated Optimization Approach for Competitive Procurement of Energy and Operating Reserve
Abstract: In restructured environment, Ancillary Services (AS) plays a vital role, as they are required for reliable and secure operation of the power system. Operating Reserve (OR), as one of the main AS, is a capability of a power system to prevent any unexpected imbalances caused by generation, transmission or equipment outage has been considered in this work. The approach is based on disaggregated clearing of energy and OR, which can …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 3, 2016 · pp. 33–41 Read article
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Smart Polymer Composite Scaffolds for Tissue Engineering with Integrated Machine Learning Feedback
Abstract: Another potential solution to improving the results of tissue engineering is smart polymer composite scaffolds, which are capable of dynamic adaptation to changing biological factors, but typical scaffolds cannot change dynamically. This paper suggests a comprehensive system to integrate biodegradable polymer composite scaffolds with sensing and machine learning-based feedback to allow the real-time monitoring and active regulation of tissue regeneration events. The system uses biocompatible materials of PLA/PCL composite of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Dynamic Cellular Manufacturing System Design for Automated Factories
Abstract: In this paper, an integrated mathematical model of the multi-period cell formation in a dynamic cellular manufacturing system (DCMS) is proposed with the aim of getting the optimal cost for it. In DCMS, the formed cells in the current period may not be optimal for the next period, so the reconfiguration of the cell is needed, thus we have a tendency to use DCMS. The paper examines the influence of …
Published in Journal of Production Research & Management · Vol. 4, Issue 2, 2014 · pp. 12–30 Read article
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Electric Vehicle Range Prediction
Abstract: The introduction of new energy vehicles has emerged as a new trend in the automotive industry inresponse to growing energy and environmental issues. The electric vehicle (EV) is the driving force behind newenergy vehicles. The one major problem electric vehicles have always been the distance(range) of the travel and mapto the nearby charging stations. For range prediction in the present study, four machine learningalgorithms—multiple linear regression, random forest regression, polynomial …
Published in Trends in Electrical Engineering · Vol. 13, Issue 3, 2023 · pp. 24–32 Read article
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AI-Assisted Optimization of Supersonic Airfoil Shapes Using CFD Coupling
Abstract: This paper presents a novel framework for optimizing supersonic airfoil geometries through integrated artificial intelligence and computational fluid dynamics coupling. Traditional gradient-based optimization methods for high-speed aerodynamic shapes suffer from computational expense and convergence difficulties in non-convex design spaces. The proposed methodology employs a deep neural network surrogate model trained on high-fidelity Reynolds-Averaged Navier-Stokes solutions to approximate aerodynamic performance metrics across the design space. A hybrid particle swarm-genetic algorithm searches …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 8–17 Read article
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AI-Powered Emotion Recognition in Dog
Abstract: Understanding animal emotions is important for improving veterinary care, human animal interaction, and overall pet well-being. Inspired by previous research that utilized a modified EfficientNetB5 model for emotion classification in cats and dogs, our study builds upon this foundation with a focus on real-time emotion recognition in dogs. While earlier approaches achieved high accuracy using Dense Residual and Squeeze-and-Excitation blocks, they often lacked real-time applicability and were not optimized for …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 20–32 Read article
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Optimized Utilization of Kota Stone Slurry Waste in Fly Ash–Based Geopolymer Mortar: A Taguchi-Driven Approach
Abstract: The large-scale generation of stone-processing wastes presents a critical sustainability challenge and an opportunity for value-added reuse in construction materials. This study develops a high-performance fly ash geopolymer mortar by partially replacing Class F fly ash with Kota stone slurry waste (KSSW) and optimizing the key mix parameters using a Taguchi design framework. Five governing factors—binder replacement level, NaOH molarity, sodium silicate–to–sodium hydroxide ratio (SS/SH), curing temperature, and alkaline solution-to-binder …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 426–445 Read article
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A Study of DCGAN-Based Generative Models for Anime Character Face Generation
Abstract: Artificial intelligence, or AI, has in recent years moved from simple rule-based systems to models that are now fully capable of creative content generation and are referred to as generative AI. One such approach for content generation, introduced in the year 2014, is called generative adversarial networks (GANs), which consists of training a generator to create fake content that tries to mimic real content as closely as possible and a …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 31–41 Read article
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Isogeometric Topology Optimization of Continuum Structures using Evolutionary Algorithms
Abstract: Isogeometric analysis is a popular method for the analysis of problems involving complex geometry and governed by differential equations. Meta-heuristics are widely used to determine the optimum distribution of material within the given design domain. The focus of this study is to perform isogeometric topology optimization of continuum structures using meta-heuristics nature inspired firefly algorithm. NURBS basis functions are used to construct the geometric model and to calculate the displacements …
Published in Journal of Experimental & Applied Mechanics · Vol. 8, Issue 3, 2017 · pp. 8–18 Read article
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Sensitivity of Shape Factor Impacts in Water Works Infrastructure Failure
Abstract: Simple geometry used in water software and hydride sign works was failed here. Comprehensive real data with complex irregular geometries were incorporated provided for wider application and feasible solutions. A realistic and more practical approach was tested, found reliable and compatible with water engineering principles considered for calculation of volumetric water rates by three types of Ogee shapes. Results indicated proximity between numerical and experimental data accurately predicted based on …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 1, 2017 · pp. 25–34 Read article
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Hybrid Additive-Subtractive Manufacturing of Multi-Material Functionally Graded Components: Integration of Laser Powder Bed Fusion with High-Speed CNC Finishing for Aerospace Applications
Abstract: The synergy involved in the merging of additive and subtractive manufacturing technologies is the game changer to generate multi-material functionally graded components to be used in the aerospace industries. The paper is an in-depth review of a proposed hybrid additive-subtractive manufacturing, which synergistically merges laser powder bed fusion (LPBF) fashioning with rapid computer numerical control finishing production processes. The multi-material deposition, thermal issues, and optimization of post-processing are the challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 398–418 Read article
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Multi Objective Optimization of Lifting Hook Strength for Hitachi Sumitomo Systems Using Cross Sectional Variations
Abstract: Material handling equipment refers to a broad category of mechanical systems used for the movement, storage, regulation, and safeguarding of materials and products throughout different stages such as manufacturing, distribution, usage, and disposal. These systems form an integral part of industrial operations by facilitating efficient handling processes. Typically, material handling equipment can be grouped into four primary classifications: storage and handling devices, engineered systems, industrial transport vehicles, and bulk material …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 1–15 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article
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An Extensive Analysis of Computer-Aided Drug Design for Novel Psychotropic and Neurological Substances
Abstract: A comprehensive review of the use of computer-aided drug design (CADD) in the creation of innovative neurologic and neuropsychiatric medications is given in this article. It discusses the challenges in traditional drug discovery approaches and highlights the role of computational methods in accelerating the identification and optimization of drug candidates targeting psychiatric and neurological disorders. The method of finding new drugs has been completely transformed by Computer-Aided Drug Design (CADD), …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 19–27 Read article
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Optimized Design and Control of Oil Exploitation Strategies: An Assisted Approach
Abstract: Because there are so many factors and scenarios to consider, optimizing oil exploitation tactics requires complicated decision-making. Conventional approaches frequently concentrate on particular elements of the design infrastructure, which restricts their capacity to fully handle the process. In order to maximize a set of oil exploitation variables in a hierarchical fashion, this research proposes a novel assisted optimization technique that combines mathematical algorithms with engineering analysis. By grouping variables into …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 29–34 Read article
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Problem formulation for predicting optimum trans-esterification process parameters of biodiesel production and their performance analysis in diesel engine
Abstract: The various alternate fuels have been used in the past research to run the compression ignition engines. One of the fuel is the biodiesel which is used in the blended form with diesel. The emission parameters are reduced to 30-40% and the performance parameters are increased to some extent. This paper represents the various past research related to biodiesel based engines. The various steps in predicting the optimum process parameters …
Published in Journal of Automobile Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 41–44 Read article
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Solid Rocket Motor Case: A Review of Existing Design and Composite Material Criteria
Abstract: Solid propulsion systems are an integral part of inaugural vehicles for many space agencies because of their relatively simple design and high reliability. The solid propulsion rocket motor case design, including the material used for fabrication, is an important aspect as it affects the solid rocket motor's performance, reliability, and safety. In this abstract, an attempt has been made to review the most commonly used materials in the manufacture of …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 224–232 Read article