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549 articles for “Cost Model”
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A Comparative Study on Particle Swarm Optimization for Transmission Congestion Management
Abstract: This research aims to propose solution to the issue of transmission congestion management based on optimal generation rescheduling using different variants of particle swarm optimization (PSO). In deregulated electricity market era, congestion management plays an essential role to accommodate all transactions within reliable system operations. Intending to reduce the congestion cost, optimum numbers of generators are selected based on generator sensitivity factor (GSF) to perform active power generation rescheduling. The …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 1, 2016 · pp. 86–93 Read article
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Statistical Modeling for Weld Quality Assessment using AI SAW Welding of Mild Steel
Abstract: The main issue to the industries that apply Submerged Arc Welding (SAW) is quality assurance since the structural integrity dictates safety and the performance of the industry. The existing system of checking manuals is not only time consuming but also has human errors that make it mandatory to deploy automated intelligent systems. This study carries out an extensive comparison of the leading approaches based on the use of Artificial Intelligence …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 892–907 Read article
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A Monte Carlo Simulation Approach to Decision Analytics in Manufacturing and Industrial Automation Project Management
Abstract: Manufacturing and industrial automation projects face high uncertainty and risk arising from factors such as complex supply chains, equipment variability, and fluctuating production demands. If not properly managed, these uncertainties can lead to costly delays, unplanned downtime, and budget overruns that jeopardize project success. Given the shortcomings of deterministic planning in such volatile environments. If not properly managed, it can lead to costly delays and failures if not properly managed. …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 1–12 Read article
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PVT Analysis: Validity Checks and EOS Turning Techniques for Retrograde Condensate Reservoirs
Abstract: PVT analysis is pertinent to field-wide development and optimization. This is because we need to know the over-all behavior of the fluid from reservoir through production and process facilities, down to the refinery. Its emergence as a separate discipline has been supported by the development of modern computer software that utilize EOS models for simulating experiments and representing fluid phase behaviours. PVT simulations are carried out to determine operating conditions …
Published in Journal of Petroleum Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 44–53 Read article
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Design and Topology Optimization of Housing Bracket of Starter Motor
Abstract: AbstractStarter engine is an electric engine which gives electro-mechanical movement to begin the inside ignition motor. The electric starter guarantees that anybody could without much of a stretch beginning and run an inside burning motor for any traveler vehicles. Starter engine lodging section quality and weight has been constantly a worry which may prompt operational cost high and strength life. This examination presents the plan of model in CATIA software …
Published in Recent Trends in Fluid Mechanics · Vol. 7, Issue 2, 2020 · pp. 5–11 Read article
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Open Educational Resources and Open Access Publishing in Higher Education: Policies, Challenges, and Collaborative Models
Abstract: Open Educational Resources (OER) and Open Access (OA) publishing are transforming higher education by promoting equitable access to knowledge, reducing costs, and fostering collaborative innovation. While OER focus on openly licensed teaching and learning materials, OA ensures unrestricted online access to scholarly research. Together, they form an integrated open knowledge ecosystem aligned with global policy frameworks such as the UNESCO OER Recommendation (2019) and the Budapest Open Access Initiative. This …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 1, 2026 · pp. 7–12 Read article
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The Green Cost of Generative Ai: Environmental Sustainability Implications of Large-Scale Ai Systems
Abstract: Generative Artificial Intelligence (GenAI) has advanced rapidly in scale and complexity, enabling powerful capabilities in automated content creation, multimodal reasoning and real-time decision support across sectors. While these systems offer significant technological and economic benefits, their environmental implications are not fully examined. Large-scale GenAI models rely on high-performance computing infrastructure that consumes substantial energy and resources throughout their lifecycle, raising critical sustainability concerns. This paper offers a sustainability-oriented assessment of …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 12–20 Read article
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Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling
Abstract: This study proposes a novel Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling (PADT-NO) framework for predictive modelling of complex, nonlinear, and multiscale fluid flows. The proposed mathematical framework integrates fundamental conservation laws, Navier–Stokes dynamics, physics-constrained neural operators, adaptive reduced-order modelling, and uncertainty-aware state estimation within a unified computational architecture. Unlike conventional computational fluid dynamics and purely data-driven approaches, the proposed model dynamically couples high-fidelity physical information with a low-dimensional latent …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 89–103 Read article
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House Price Prediction Using Linear Regression In Machine Learning
Abstract: In the modern world, real estate is among the most important investments, particularly in a city like Chennai, which is where many people aspire to work and settle down. Due to people's high purchasing power, this will cause property prices to rise daily. When purchasing a home, buyers will consider whether or not it will yield a healthy profit margin. Hence, before spending your hard-earned money on any property, it …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 92–100 Read article
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Multi-functional UAV for Disaster Response and Management
Abstract: Unmanned Aerial Vehicles (UAVs), commonly known as drones, have become integral across diverse fields such as agriculture, surveillance, and defense, with expanding roles in critical operations like search and rescue and post-disaster management. Despite their versatility, current UAVs encounter challenges in disaster response due to limitations in flight time, costs, and accuracy, particularly in dynamic weather conditions. The UAV is equipped with features essential for disaster site surveillance, human detection, …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 1–6 Read article
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Heater Automation Using LabVIEW
Abstract: Water heating system is an age-old tradition being commonly used from domestic sectors to production sectors; it is a need-based requirement to develop a time and effective water heating system for use in day-to-day life. Concerning lime lighting the deficiencies in general water heating systems and improved versions of sensor-operated systems, this model has been designed. The scope of the work is specifically concerning common household water heating systems operated …
Published in Current Trends in Signal Processing · Vol. 6, Issue 3, 2016 · pp. 28–38 Read article
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Development of Automobile Scaled Model from CAD (Blender) Using FDM 3D Printing
Abstract: Additive manufacturing (AM), also known as 3D printing, has emerged as a disruptive technology with the potential to transform automotive manufacturing. This paper reviews the applications of AM across the automotive product development lifecycle. The paper examines case studies demonstrating the use of AM for developing computer-aided design (CAD) models from concept sketches. Overall, AM brings several benefits such as design flexibility, faster time-to-market, and distributed production. However, there are …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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A Five-Layer Architectural Framework for Sustainable and Scalable AI Systems
Abstract: Artificial Intelligence (AI) is not only about algorithms. AI works like a full “stack” of layers, from electricity to real-world user applications. In this paper, we explain a simple and student-friendly Five- Layer Architecture of AI: (1) Energy, (2) Chips, (3) Infrastructure, (4) Models, and (5) Applications. Each layer supports the next layer, like a cake with multiple layers. If any layer is weak, AI systems become slow, costly, or …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Rehabilitation of Flood Victims: The Kerala Model
Abstract: The aim of this paper is to understand the rehabilitative process after the flood disaster in Kerala.Rehabilitation is an investment, with cost benefits for both the individuals and society. Rehabilitationalso enables individuals to participate in education and gainful employment, remain independent athome, and minimize the need for financial or caregiver support. A thorough literature search from thedatabases were searched between 2006 and 2020 including MEDLINE, PsycINFO, PubMed, EMBASE,CINAHL, The British …
Published in Journal of Nursing Science & Practice · Vol. 11, Issue 2, 2021 · pp. 1–5 Read article
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Digital Health Interventions in Cardiovascular Pharmacology: A Review
Abstract: Cardiovascular diseases (CVDs) represent a formidable global health challenge, demanding innovative strategies for timely detection, effective management, and continuous monitoring. This study delves into the transformative potential of digital health interventions (DHIs), such as telemedicine and remote monitoring, in reshaping cardiovascular care paradigms. DHIs offer unparalleled accessibility, convenience, and personalized attention, thereby promising to revolutionize traditional approaches to cardiovascular health management. One of the foremost advantages of DHIs lies in …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 1–5 Read article
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A Study on Chatter Marks in Crankshaft Pin Grinding Process Using Taguchi Technique
Abstract: Crankshaft pin grinding is a vital machining process in automotive industry. It is a finishing operation to the crankshaft of the engine, which if neglected could lead to a significant cost to the manufacturer of warranty claims. The study aims at identifying significant process parameters that are influencing the chatter marks and also setting the process parameters of the machine to get a good quality product. Chatter marks are the …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 1, 2018 · pp. 1–5 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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A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
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A Lightweight Cost-Sensitive Explainable Ensemble Framework for Early Heart Disease Risk Prediction
Abstract: Cardiovascular disease is still one of the leading causes of death, and hence, the early prediction of risk is a very important task in preventive medicine. Although recent studies have shown encouraging results in the application of machine learning algorithms to the prediction of heart disease, it has been noticed that most of the algorithms are more concerned with accuracy-driven optimization than the concerns of safety and false negatives. In …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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A Comparison of Different Generative AI Models
Abstract: Generative models have significantly advanced the field of artificial intelligence by allowing machines to produce complex and realistic outputs such as images, text, and other forms of data. Among the leading frameworks in this domain are generative adversarial networks (GANs), variational autoencoders (VAEs), and architectures based on Transformers. Each model offers specific benefits and drawbacks concerning design structure, training demands, and range of applications. This paper provides a detailed comparison …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 16–22 Read article