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1313 articles for “optimization models”
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Mathematical Models in Information Technology for Sustainable Development: A Review of Applications and Challenges
Abstract: Due to more ecological challenges, speedy urbanization, and boost in the demand for natural resources, sustainable development has become a main concern on a global level. Information technology (IT) supports sustainability through the ability to collect, investigate and make decisions based on large amounts of data efficiently. Mathematical models are critical tools for the analysis of complex systems, optimization of resource use and predictions of future trends. In this review …
Published in International Journal of Sustainability · Vol. 3, Issue 2, 2026 · pp. 63–73 Read article
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Genetic Algorithms Molecular Effect Model Optimization for High-temperature Superconductors Tin and Thallium Classes
Abstract: Genetic algorithms software was applied in 3D Graphical and Interior Optimization methods for two high-temperature Superconductors (HTSCs) classes. Namely, Tin (Sn) class with (TC>0°), and Thallium (Tl) one subject to (TC˂0°, TC>0°) in Molecular Effect Model (MEM). Results include mathematical Tikhonov Regularization Functionals algorithms for this group of HTSCs without using logarithmic changes. Results also show the contrasts between these two classes for Molecular Effect Model (MEM) hypothesis. Solutions show …
Published in Recent Trends in Programming languages · Vol. 9, Issue 3, 2022 · pp. 1–16 Read article
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Energy Management for Rural Electrification using Hybrid Optimization Model for Electric Renewable
Abstract: India ranks fourth in terms of purchasing power and is eleventh largest economy of the world. Solar Energy, Animal wastes, and Crop residues are some of the major renewable sources available in rural areas of India that can be harnessed in an efficient way to meet the energy demand. After assessing the Existing Village (Nangal), it was found that Hybrid Renewable Energy System is an optimum solution for complete electrification …
Published in Trends in Electrical Engineering · Vol. 4, Issue 2, 2014 · pp. 21–25 Read article
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Hybrid Optimum Model Development to Determine the Brake
Abstract: The hydraulic rubber places stresses on the braking system during quick braking. Pressure is actually created by the friction between the disc brakes and the disc. The discs experience rotational body pressures as a result of its rotation. These pressures' ensuing deformations can cause the material to fail. Therefore, its crucial to make sure the groove pressures are kept as low as possible. The entire method has been coded into …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 2, 2022 · pp. 25–33 Read article
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Model Optimisation of Waterflood and Low Salinity Brine Injection to Enhance Gas Condensate Recovery – A Case Study of A Rich Gas Condensate Sandstone Reservoir in The Offshore Tano Basin of Ghana
Abstract: To enhance production of entrapped condensate in gas-condensate reservoirs without delay in produced gas sales, this study looked at the impact of waterflood and low saline brine injection on an offshore gascondensate reservoir in the Tano Basin, Ghana, West-Africa. The injector well placements, rate, and pressure were optimised using three optimisers (Differential Evolution, Particle Swarm Optimisation, Design Exploration and Controlled Evolution). Condensate and gas recovery increased by 30.3% (from 19.1% …
Published in Journal of Petroleum Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 20–31 Read article
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Predictive Modeling and Optimization of Tensile and Flexural Strength in FDM 3D Printing Using Decision Trees and Bayesian Optimization.
Abstract: This research investigates predictive modelling and optimization technique for the tensile and flexural strength of PlA (Poly Lactic Acid) in Fused Deposition Modelling (FDM) 3D printing. Employing Decision Trees and Bayesian Optimization enhances comprehension and control of 3D printing process. Precise model predicts PLA material properties based on input parameters. Methodology involves rigorous data preprocessing, encompassing, cleaning, transformation, and normalization. Hyperparameter optimization via grid search systematically explores configurations, optimizing model …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 203–214 Read article
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Modelling, Simulation & Optimization of Renewable Energy-Based Hybrid Microgrid for Electrification of Rural Areas
Abstract: Rural electrification in India faces persistent challenges due to unreliable grid connectivity, elevated transmission and distribution costs, and the geographical isolation of remote communities. Insufficient access to reliable electricity constrains economic development, educational opportunities, healthcare delivery, and overall quality of life in these areas. This study details the design and simulation of an off-grid, renewable-based hybrid micro grid for two rural villages: Khirgitola in Chhattisgarh, which has an electrification rate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1206–1218 Read article
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Accurate & Efficient Plant Disease Detection using Transfer Learning with Edge Impulse
Abstract: Transfer learning is a powerful machine learning technique that allows optimization of pre-trained models for related tasks on small datasets. In this research paper, we explore the application of Edge Impulse & transfer learning for plant diseases and aim to detect on edge devices more effectively at low cost. We collected and preprocessed many plant images and used this data to fine-tune a neural network model pre-trained by Edge Impulse. …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 1, 2023 · pp. 30–41 Read article
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Artificial Neural Network Modelling to Optimize Micro-Drilling Parameters of ECDM of Developed Novel Zn/(Ag+Fe)-MMC
Abstract: Several engineering fields have increased their use of metal matrix composites (MMCs) in the past few years. Due to the increase in composites, the demand for accurate machining has also become important. Specifically, pertaining to biomaterial applications, accuracy factor with desired surface finish is critical. While the near-net shape manufacturing process has advanced, MMCs frequently require post-mould machining to achieve surface quality, and dimensional tolerances. In the present study, a …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 01–13 Read article
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Modeling and Optimization of Extrusion Process for Black Gram–Carrot Pomace Incorporated Rice-based Extruded Product
Abstract: The purpose of this study was to optimize ready-to-eat extruded snack with incorporation of byproducts like broken rice, carrot pomace along with black gram to design a product which is rich in fibre and protein content. For optimization of extrusion process for the development of black gram–carrot pomace incorporated rice-based expanded product, experiments were planned in central composite design using response surface methodology. The independent process variables for extrusion were …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 4, Issue 1, 2015 · pp. 5–20 Read article
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Implement Artificial Intelligence and Machine Learning for Engineering Design, Predictive Modeling, and Optimizing Polymer Nanocomposites
Abstract: Polymer nanocomposites are high performance engineered materials obtained by inclusion of nano-sized fillers into the polymer matrix to enhance mechanical, thermal, electrical, barrier and functional properties. However, the complex and non-linear interactions among polymer chemistry, nanofiller characteristics, filler concentration, dispersion, interfacial bonding and processing conditions make it challenging to anticipate and maximize their properties. Artificial intelligence (AI) and machine learning (ML) offer powerful data-driven solutions to these difficulties by establishing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Enhancing Profanity Detection in Dravidian Languages: Leveraging Language Models for Optimization and Improvement
Abstract: Detecting and documenting instances of abusive behaviour can significantly improve the quality of virtual environments. Given the vast amount of content published daily on social media, it is impractical for human annotators to manually identify potentially harmful content. Recent algorithmic initiatives, especially on platforms like Twitter, have advanced in abuse detection. However, for Dravidian texts, there remains a need to understand the context better and build robust language models for …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 17–23 Read article
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How Mathematical Modelling and Optimisation Guide Spacecraft Trajectories
Abstract: Spacecraft trajectory design is fundamentally a mathematical problem involving the prediction, evaluation and optimisation of motion under complex physical constraints. This article explores how mathematical modelling and optimisation are used to determine feasible and efficient trajectories for spacecraft. Beginning with the simplified two-body model, the article introduces the differential equation governing gravitational motion and explains how initial position and velocity determine the subsequent trajectory. It then examines how trajectory design …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 3, 2026 Read article
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Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 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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Study of an Improved Quantum Particle Swarm Optimization-Based Framework for Neural Network Optimization in Modelling of Polymer Data
Abstract: The accurate forecasting of polymer viscosity at various physicochemical conditions has been quite critical due to the nonlinear interactions and interrelations between the variables. This paper suggests a better hybrid modelling framework, which involves the use of Artificial Neural Networks (ANN) and more advanced versions of Quantum Particle Swarm Optimization (QPSO) to better predict polymer viscosity. The input parameters taken are, namely, log (shear rate), polymer concentration, NaCl concentration, Ca …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 282–297 Read article
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Optimization and Modelling of Process Parameters for Turning Operation on Cnc Lathe for ASTM A242 Type-2 Alloy Steel by Regression Analysis and Artificial Neural Network
Abstract: The purpose of this project is focussed on the modelling of cutting conditions to get the lowest surface roughness in turning ASTM A242 TYPE-2 ALLOYS STEEL by Artificial Neural Network and Regression Analysis method on the CNC lathe. The process of metal cutting has been well researched over the years; relatively small research has been carried out on the cutting of alloy of ASTM A242 grade materials. In this study, …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 2, 2015 · pp. 40–51 Read article
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Predictive Modeling and Optimization of Citric Acid Bioproduction Using Ipomoea batatas Peel (Sweet Potato)
Abstract: In this research, the Box–Behnken design was adopted and applied to the process and the total of 30 experimental runs were generated for the liquefaction steps considered for the purpose of citric acid bioproduction using Ipomoea batatas peel (sweet potato) which was very helpful during the investigatory process of this research. The liquefaction step adopted were very sensitive as gross investigations to ascertain their usability was made and proven worthy …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 13, Issue 1, 2022 · pp. 32–43 Read article
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Advanced Design, Modeling and Optimization Techniques in Electric Vehicle Using Green Energy: A Review
Abstract: In today’s world, we are using conventional energy sources in a larger amount. To reduce it we must move to use an alternative source, it means replacing the diesel and petrol vehicles with an electric vehicle, which is the best option. The rapid expansion of electric vehicles (EVs) is expected to make them a major contributor to transportation. Increasing fossil fuel use has resulted in greenhouse gas emissions that are …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 20–28 Read article
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Modeling and Optimization of Continuous Gas Lift Performance in Libya Oil Field
Abstract: With a massive number of oil and gas field becoming mature, the upstream engineering is facing new challenge. How to develop , or at least steady production while keeping obtainable reserves at their existing level, As matter of fact unstable production in gas lift wells. The Key issues most operators encounter with oil fields are the effects of high water production that may lead to wells died and decrease in …
Published in Journal of Petroleum Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 40–48 Read article