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549 articles for “Cost Model”
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AI-Driven Predictive Maintenance Framework for Intelligent Vehicle Health Monitoring
Abstract: The accelerated development of smart and connected car systems made the necessity to find the accurate and real-time predictive maintenance solutions which would minimize the number of unexpected failures as well as increase the cars on-road safety. The current paper proposes an artificial intelligence-based hybrid predictive maintenance system that combines Long Short-Memory (LSTM) networks and the XGBoost predictor to provide a potent vehicle fault diagnosis, Remaining Useful Life (RUL) prediction, …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 1–17 Read article
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Design and Dynamic Analysis of W-9 Engine
Abstract: Internal Combustion Engines are used in many applications. In the present competitive world, the Automotive Sector which is rapidly growing up with the use of four-stroke I C engine. Hence in this report the work on W-9 engine is considered. Here, the design of W-9 engine is developed for increasing power of engine and also reducing the cost of manufacturing in an automobile sector. In this thesis, the design of …
Published in Journal of Automobile Engineering and Applications · Vol. 2, Issue 3, 2015 · pp. 30–62 Read article
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Behaviour of Three Legged 400 kV Double Circuit Steel Transmission Line Tower by Using Different Diaphragm Comparative Study
Abstract: Power is a vital solution for the growth of any country’s economy. India has the third largest producer of power in the world. As per the Census and Economic Information report, India has 1,06,991 GWh power capacity up to Mar. 2019. So, optimizations of transmission line towers are vital to reduce the cost the power sector and it’s depending on various factors, i.e. materials, size and shape of the section, …
Published in Journal of Structural Engineering and Management · Vol. 6, Issue 3, 2019 · pp. 20–31 Read article
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Predictive Maintenance Strategies for Safety-critical Mechanical Systems
Abstract: Ensuring the reliability and safety of industrial systems is essential, especially in high-risk sectors such as aerospace, manufacturing, and energy. Predictive maintenance (PdM) has become a crucial approach for minimizing operational failures and improving maintenance efficiency. This research introduces an advanced PdM framework that enhances industrial safety by integrating Internet of Things (IoT) technology, machine learning (ML), and big data analytics. By enabling real-time monitoring and predictive fault detection, this …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 12–17 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Improving Dataset Integrity Through Automated Data Cleaning Techniques
Abstract: High-quality data is a fundamental requirement in data science for producing trustworthy analytical insights and effective machine learning models. Problems, including incomplete records, inconsistent entries, duplicate observations, and anomalous values, can severely reduce the accuracy and robustness of predictive systems. As modern datasets continue to expand in both volume and structural complexity, relying on manual data cleaning methods become time-consuming and error-prone, highlighting the growing importance of automated data preprocessing …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 40–45 Read article
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Economic Efficient Dispatch Solution with Pollution Control Technique Using Genetic Algorithm
Abstract: In this paper, an attempt has been made to create a hybrid power system with the available sources of energy to generate power in most efficient, economical, emission-less and in a sustainable way. It is a continuation of the research article published in Trends in Electrical Engineering, 2016, volume 6, issue 1, 10–16p. It is important to utilize the renewable sources of power generation since the global power demand is …
Published in Trends in Electrical Engineering · Vol. 6, Issue 3, 2016 · pp. 32–43 Read article
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Multi-Objective Optimization of Polymer-Based Functionally Graded Composites for Lightweight Structures
Abstract: Functionally graded composites (FGCs) improve lightweight structural performance by allowing material properties to change smoothly across a component. Polymer-based FGCs (P-FGCs), in particular, are gaining prominence in aerospace, automotive, and biomedical industries due to their excellent strength-to-weight ratio, tunability, and ease of processing. However, optimizing these materials for lightweight structural applications requires addressing conflicting design objectives, such as maximizing stiffness while minimizing weight or enhancing thermal resistance while maintaining manufacturability. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 961–973 Read article
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CFD Analysis of Savonius VAWT for Household Application
Abstract: Fossil fuels are depleting at very fast rate and will have shortages in near future. Also, prices of fuelsincrease day-by-day, demands of renewable energy sources increases for electrical power generation.Wind energy is available in nature free of cost and in abundant form, so is an excellent option forgeneration of electric power through wind turbine technology. Rapid increase in global energyrequirement resulted in considerable attention towards renewable energy sources as there …
Published in Journal of Experimental & Applied Mechanics · Vol. 12, Issue 1, 2021 · pp. 18–32 Read article
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Sustainable Concrete Solutions: Chemically Predictive Modeling of Geopolymer Versus Ordinary Concrete in a Circular Economy
Abstract: Concrete is a fundamental structural material widely used in civil engineering projects. It plays a key role in various types of building structures, with its quality directly influencing the durability of the construction. This research focuses on assessing the current state of concrete construction, highlighting critical issues and technical aspects in the process, while emphasizing the importance of improving construction quality and management practices. Geopolymer concrete (GPC) presents a viable …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 170–192 Read article
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Finding Risk Factors in Thyroid and Cardiovascular System Using Naive Bayesian (NB) Machine Learning Technique
Abstract: Thyroid malady could be a common condition. A TSH test is carried out to check for the capacities of your thyroid organ. Illnesses of thyroid can be caused by conditions which cause thyroid organ over or under function. The test can moreover assist you recognize thyroid conditions some time recently indications happen. It is either as well (hyperthyroidism) or under-active (hypothyroidism), you might know. In case untreated, thyroid clutter may …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 8, Issue 1, 2020 · pp. 1–5 Read article
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Study of technical and economic assessment of solar-assisted and thermoelectric air-conditioning technologies
Abstract: This study presents an integrated technical and economic assessment of solar-assisted absorption and thermoelectric air-conditioning technologies for residential cooling applications. A comprehensive methodology combining mathematical modelling, experimental characterization of thermoelectric modules, numerical simulation, and economic optimization was developed to evaluate the performance of both cooling systems. The solar-assisted system employs single-effect LiBr–H₂O absorption chillers operating under water-cooled and air-cooled configurations, simulated using TRNSYS and Engineering Equation Solver (EES), while the …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 2, 2026 Read article
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Optimizing Performance Characteristics, Thermal Stability, and Manufacturing Performance of Polymer Nanocomposites Using Artificial Intelligence
Abstract: Artificial intelligence (AI) has proven an efficient method to optimize the design and manufacture of polymer nanocomposites, allowing the proper prediction of the behavior of the materials and the results of the processing. This work proposes an AI-based framework to enhance the performance characteristics, thermal stability and manufacturing performance of advanced polymer nanocomposites. The input variables of the proposed framework are the material composition, the nanoparticle concentration, the particle size, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Analysis of an Extradosed Bridge with Single Plane Cable System
Abstract: The extradosed bridge is a bridge that combines elements of a cable-stayed bridge and a prestressed concrete box-girder bridge. This innovative design offers several advantages, including improved aesthetics, reduced construction costs, and enhanced durability. The extradosed cable system provides additional support to the bridge deck while maintaining a lower overall height compared to traditional cable-stayed bridges. This feature makes extradosed bridges particularly suitable for environments where height restrictions are a …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 25–31 Read article
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An Experimental Investigation of Process Parameters for Aluminum Alloy Composites
Abstract: The objectives of this work are to develop an aluminum alloy composites and investigate machining process parameters effect on the tool wear rate for composites. The composite is enhanced using silicon carbide and graphite. The composite is made by a method called stir casting. Furthermore, it is investigated both mathematically and experimentally. This study takes trial on aluminum alloy composite to see output characteristics tool wear rate are affected by …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 185–193 Read article
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Understanding Sentiment Trends Through Zero-Shot and Few-Shot Learning Models
Abstract: The requirement for large, manually labeled datasets is one of the main barriers to applying sentiment analysis algorithms in specialized or rapidly evolving disciplines in the present natural language processing (NLP) landscape. This work investigates a paradigm shift from traditional fully supervised learning to data-efficient methods, specifically zero-shot learning (ZSL) and few-shot learning (FSL). This study uses the advanced capabilities of instruction-tuned large language models (LLMs), like GPT-4, to assess …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 01–08 Read article
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Thermo-Hydraulic Enhancement of Annular Finned Shell-and-Tube Heat Exchangers Using Epoxy-Based Polymer Composites: A Material–Geometry Coupled CFD Investigation
Abstract: Shell-and-tube heat exchangers remain a backbone of industrial thermal systems, yet their performance is often limited by relatively low shell-side heat transfer and the weight and cost associated with conventional metallic components. In this context, the integration of polymer composite materials offers a promising pathway toward lightweight, corrosion-resistant, and performance-tunable heat exchanger designs. The present study investigates the thermo-hydraulic performance of a straight-tube shell-and-tube heat exchanger equipped with annular fins, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 669–684 Read article
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Analysis of Seismic Response of 3-D Steel Frame
Abstract: It is of critical importance that the structures that need seismic retrofitting are correctly identified, and an optimal retrofitting is conducted in a cost-effective fashion. Among the retrofitting techniques available, steel braces can be considered as one of the most efficient solution for seismic performance upgrading of RC frame structures. This paper investigates the seismic behavior of 3D-steel frame with different type of bracings for seismic loading condition corresponding to …
Published in Journal of Geotechnical Engineering · Vol. 2, Issue 2, 2015 · pp. 6–14 Read article
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The Future of Machining: Automation and Robotics in Modern Tools and Mechanics
Abstract: With the inclusion of automation and robots in current tools and mechanics, machining has undergone a substantial evolution. While robots has made it possible to automate difficult and repetitive jobs, automation has enhanced productivity, minimized errors, and increased regularity. Automation and robotics in machining have highly improved the industrial sector, delivering in more productivity, reduced prices, and better product quality. Automation and robotics will likely be used in machining increasingly …
Published in Trends in Mechanical Engineering & Technology · Vol. 12, Issue 3, 2022 · pp. 29–33 Read article
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AI Application in the Creation of Medications for COPD
Abstract: The crippling lung condition known as chronic obstructive pulmonary disease (COPD) is typified by a continuous restriction of airflow, which results in increased respiratory dysfunction and a reduced quality of life. The rising incidence of COPD worldwide emphasizes the pressing need for innovative pharmaceutical approaches to address the illness. Even though COPD care has advanced significantly, most current medications concentrate on symptom relief rather than disease change. This gap in …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 01–05 Read article