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1059 articles for “Model optimization”
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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A Particle-Derived Nonlinear Dynamical Framework for Bubble Oscillations: Reduced-Order Modeling, Bifurcation Analysis, and Optimal Stabilization
Abstract: Particle-based fluid simulation has emerged as a powerful computational framework for modeling complex multiphase flows involving large deformations, moving interfaces, and nonlinear fluid interactions that challenge conventional mesh-based approaches. In this work, a nonlinear dynamical systems framework is developed for particle-resolved bubble oscillations by constructing a reduced-order model that preserves the dominant physical mechanisms governing bubble interface evolution. The formulation represents the bubble dynamics through coupled radial and shape deformation …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 11–33 Read article
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Performance Optimizing of a Simulated Model of a Fabry-Perot based Tunable Laser Operating at 1550 nm
Abstract: AbstractThe paper presents data for an optimized Fabry-Perot tunable laser, with a wavelength tuning range of 56.3 nm, with a high output power of 17.4307 dBm. Incentive for this research has been due to the cause that Fabry–Perot semiconductor laser diodes have been fine contenders as transmitters to be used in WDM optical networks. The proposed system is capable of modulating a maximum bit rate of 26.58 Gb/s, with an …
Published in Trends in Opto-electro & Optical Communication · Vol. 4, Issue 3, 2014 · pp. 23–31 Read article
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The Application of Python Programming Language in the Automation of a Mathematical Model for Well Trajectory Selection Optimisation for a Given Field
Abstract: Directional drilling plays a major role in the exploration and recovery of hydrocarbons. There are three basic trajectories that a well may follow. They include; Build-and-Hold, Build-Hold-andDrop and Continuous-Build Trajectories. The selection of a trajectory is usually based on experience/trial and error approach and may be associated with errors. This work has therefore developed a mathematical model that optimised the automatic selection of a well trajectory type for a given …
Published in Journal of Petroleum Engineering & Technology · Vol. 12, Issue 3, 2022 · pp. 1–9 Read article
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Comparison of Models of Machine Learning and Hyperparameter Optimization Methods on Various Datasets
Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameter tuning step. The traditional exhaustive methods of search (grid search and others) ensure that the search space is covered, but are computationally inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian optimization, tree-structured Parzen estimator (TPE), genetic algorithms) are thought to provide …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 35–42 Read article
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Adaptive Maximum Power Point Tracking Using Improved Cuckoo Search for Solar Panels During Variable Sunlight and Shaded Conditions
Abstract: India's government seeks to keep up with the country's quickly increasing energy needs, which are mostly satisfied by burning coal and oil. By 2030, 40% of the country's energy is expected to originate from renewable sources, according to official plans. By 2022, New Delhi hopes to generate 175 GW of renewable energy, primarily from solar and wind power, with a target of 100 gigawatts. Although India has very few renewable …
Published in Journal of Thermal Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 34–45 Read article
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Reservoir Operation Using Particle Swarm Optimization
Abstract: Ideal operation of the reservoir is thoughtful in the current circumstances of water deficiency being faced by the country, due to perceivable universal increase in the water demand for numerous requirements. Water resources projects required enormous funds, money and manpower to reach the desired objective and operate the reservoir in best way a reservoir operation is needed. Depending upon reservoir characteristics and need of surrounding area it is required to …
Published in Journal of Water Resource Engineering and Management · Vol. 5, Issue 3, 2018 · pp. 1–7 Read article
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Design of Wireless Sensors for IoT with Energy Storage and Communication Channel
Abstract: AbstractThe emergence of smart cities is expanding gradually. This research focus on developing efficient energy utilization models and answers for home and places of business based on current sensing and wireless networking technologies. Accessibility of minimal effort sensing and processing modules just as of late created effective wireless correspondence conventions for building robotization applications give the essential enabling instruments to the application domain of smart buildings. Energy utilization mechanization is …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 3, 2020 · pp. 16–25 Read article
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Computational Intelligence and Neuro-Fuzzy Modelling of Polymer Composites: A Critical Review of Performance Prediction and Optimization
Abstract: The increased variety in polymer matrices, reinforcements, fillers, and processing parameters has led to the need to better understand the structure-property, process-property relationships in order to accurately predict and optimize the performance of polymer composites. This paper reviews the applications of computational intelligence methods in polymer composites, with special focus on artificial neural networks, adaptive neuro-fuzzy inference systems, machine learning techniques, and hybrid optimization. The literature is analyzed based on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Demand Forecasting for Perishable Food Commodities Using Data Analytics
Abstract: This paper introduces a comprehensive study aimed at enhancing the forecasting of perishable food item demand. Focusing on solving the critical issue of waste management within the supply chain of food products, the research undertakes a comparative analysis of various machine learning models. The development of an optimized model that is capable of accurately forecasting the demand for perishable food items is the focus of this research. The research includes …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 3, 2024 · pp. 27–37 Read article
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Pipeline Integrity Optimal Maintenance Techniques and Its Reliability
Abstract: This study is aimed at determining the optimal maintenance model for utilizing both preventive and corrective costs control system. It was assumed that operating conditions and pipeline diameters were uniform following the cumulated results and computational analysis. The research included an estimation which shows that the average cost for the installation and of course the maintenance of a healthy and operational pipeline is within $1,989,992 per km. Considering the failure …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 9, Issue 1, 2022 · pp. 23–29 Read article
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Artificial Intelligence-Based Optimization of Mechanical and Biocompatible Properties in Polymer Composite Implants
Abstract: Artificial Intelligence (AI) has already become a ground-breaking tool of streamlining polymer composite implants to enhance both mechanical strength and biocompatibility simultaneously. This paper recommend an AI-based multi-objective optimization model, which integrates the selection of materials, structural modelling, and biological evaluation. The in vitro biocompatibility indicators, including cytotoxicity and cell adhesion, can be used to model mechanical behavior, e.g. stress-strain behavior and fatigue behavior. To arrive at an optimal material …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Bayesian Optimization–Driven Operating Parameter Tuning for Maximizing Methane Yield in Anaerobic Digestion
Abstract: To achieve maximum methane production in an anaerobic digestion (AD) process, a combination of various operational parameters must be tuned nonlinearly in the digestion ecosystem. The conventional trial and error optimization methods are slow, resource consuming, and in most instances, cannot model the intricate parameter interaction in biogas production. The current work introduces a Bayesian Optimization-based model to optimize the set of conditions to maximize the level of methane produced …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 1–8 Read article
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Optimized Sentiment Analysis Through TextBlob and Hybrid RNN Models
Abstract: In today’s world, analyzing people’s feelings from what they write online has become very important. This is because there is a large amount of content created by users. To make this analysis accurate and fast, we present a method. This method uses a mix of two approaches: one that looks up words in a dictionary and another that uses computer learning. TextBlob is an affordable tool for getting an initial …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 29–28 Read article
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A High Performance Reference Circuit with Optimized Input Offset Operational Amplifier using Device Mismatch Model
Abstract: In this paper, author describes a band gap reference (BGR) circuit, having reference voltage 1.20V with maximum temperature coefficient of 63 ppm/0C in temperature range of –40 to 120 0C. The circuit operates in range of supply voltage, 3.0V to 3.6V. An operational amplifier (op-amp), whose input offset voltage is reduced upto 892 µV using Pelgrom’s device mismatch model is used in BGR. The power supply rejection ratio of circuit …
Published in Journal of VLSI Design Tools and Technology · Vol. 3, Issue 1, 2013 · pp. 1–7 Read article
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Enhancing Power Conversion Efficiency in Tandem Solar Cells with Temporal Dynamic Graph Neural Network
Abstract: In modern homes, people want good comfort and also less electricity bill, so managing heating load and cooling load become very important. Heating Load (HL) and Cooling Load (CL) depend on many things like wall material, window size, sunlight, ventilation, and weather. Because of this many factors, calculation and optimization of HL and CL is little difficult and many time normal formulas give wrong or not perfect results. So in …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 · pp. 12–19 Read article
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A Review Study on CPU-Optimized Parameter-Efficient Fine-Tuning for Large Language Models to Increase Accuracy Using LoRA
Abstract: The fast proliferation of large language models (LLMs) has increased the need to optimize the process of fine-tuning, but the existing workflows that require a graphics processing unit (GPU) are still expensive, intensive, and unavailable to most researchers. This paper is driven by the desire to have a more cost-efficient and democratized version by examining a CPU-efficient implementation of parameter-efficient fine-tuning (PEFT) based on low-rank adaptation (LoRA). The major purpose …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 32–38 Read article
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Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
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Analysis of Vehciles Body Automobile to Study Drag Characteristics
Abstract: Today’s most hot selling cars on the market are sedan. Thus, people have more expectations at the semidrange budget cars. These expectations could be achieved by increasing the car performance such asfuel economy, aesthetics and speed and reducing the drag force which is applied on it. Fuel economyand speed could be easily achieved by decreasing the drag coefficient and drag forces. Drag plays oneof the major roles in fuel economy …
Published in Journal of Experimental & Applied Mechanics · Vol. 13, Issue 1, 2022 · pp. 10–18 Read article
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Comparative Analysis of Kinetic Models for Simulation of Biogas Production from Cow Dung and Fruit Waste via Anaerobic Digestion
Abstract: This study investigates the optimization of biogas and biofertilizer production from cow dung and fruit waste through anaerobic digestion, utilizing various microbial growth kinetic models. Simulations were conducted using the Monod, Moser, Contois, and Tessier models to predict biogas yield and assess model accuracy. Results indicated that the Tessier model provided the closest fit to experimental data, with a biogas yield of 0.45 m³/kg VS, while the Monod model overestimated …
Published in International Journal of Membranes · Vol. 2, Issue 1, 2025 · pp. 47–63 Read article