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549 articles for “Cost Model”
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A Comparative Analysis of Machine Learning Techniques for Fruit Defect Detection Systems
Abstract: With evolving technologies in machine learning, significant advancements have been made in the livestock industry, helping to reduce waste, increase yield, achieve cost savings, and improve competitiveness in the marketplace. Fruit defect detection models support precision agriculture by providing valuable data for decision-making and enhancing overall efficiency through automated inspection processes. This study implements and comparatively evaluates machine learning models including MobileNetV2, a custom-designed convolutional neural network (CNN) model, ResNet50, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 37–47 Read article
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A Review on Predicting Wear and Friction of PTFE Composites - Fillers to Machine Learning Models
Abstract: Polytetrafluoroethylene (PTFE) composites, a self-lubricating material with low friction, became an indispensable material in engineering applications where load carrying capacity and wear are crucial. The pure PTFE has poor mechanical strength and wear resistance which can be enhanced by the addition of fillers in appropriate volume fraction. The wear performance is dependent on various factors such as fillers, operating parameters, environmental conditions as well as manufacturing attributes. This makes the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 114–128 Read article
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Identification and Evaluation of Safety Factors in Construction Industry Using Fuzzy Reasoning Technique
Abstract: Modern construction projects, characterized by their complexity and uniqueness, are inherently susceptible to various risks. These risks represent uncertain events that may arise during the project's life cycle, potentially influencing its objectives either positively or negatively. Positive risks are referred to as opportunities, while negative risks are identified as threats. To effectively harness these opportunities and mitigate threats, the implementation of Risk Management is essential. A novel theoretical framework known …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 7–12 Read article
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Comparison of Estimates, BIM based software VS conventional method
Abstract: Now a day technology is changing rapidly, from first computer to AI it is making our lives more simpler and less error prone. Construction is one sector that has adapted to new technologies swiftly and successfully. The long process of sketching quantities by hand from paper copy to CAD has been streamlined thanks to the introduction of BIM. It's common knowledge that the building industry uses a broad range of …
Published in Recent Trends in Civil Engineering & Technology · Vol. 13, Issue 3, 2023 · pp. 52–62 Read article
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Project Management Maturity Model (PMMM) in Construction Industry
Abstract: Construction industry has a major role in social and economic development. However, high investment and large scale operation are some of the major problems in this industry, which is in sharp contrast with inferior management and low benefit. So project directors are seeking ways to improve their organizational management company's level to complete and control the implementation of their projects efficiently. The competition in the markets of construction industry is …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 1, 2016 · pp. 1–13 Read article
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Zebra Fish Embryo Assay: A Wonderful Tool for Ecotoxicological Risk Assessment with Special Reference to Heavy Metals - An Overview
Abstract: In recent years, environmental pollution has become a pressing concern, prompting extensive research in aquatic ecotoxicology. With environmental degradation getting worse day by day, ecotoxicology research has gained a lot of attention. This area of study examines how biological communities in aquatic environments are affected by environmental contaminants. To unravel the toxicological mechanisms of these exogenous compounds, scientists turn to biological models. Several aquatic species, including zebrafish, toads, and big …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 2, 2025 · pp. 56–70 Read article
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Computational Modeling of Polymer Semiconductors for Electronic Applications
Abstract: Polymer semiconductors have become important materials in modern electronic applications because they combine semiconducting behavior with mechanical flexibility, low-cost processing, and tunable molecular structure. Their growing use in organic field-effect transistors, organic photovoltaics, organic light-emitting diodes, and flexible sensing devices has increased the need for accurate computational approaches that can predict material properties and device performance before experimental fabrication. This paper reviews the major computational modeling techniques used for polymer …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 132–146 Read article
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Design & Development a SPM for cutting operation: A case study on power switch assembly
Abstract: Automation is used to improve the productivity in majority of the industries. It helps in reducing the human intervention and improves a quality lot. Assembly process along with the manufacturing of each part needs to be studied, to automate the desire manufacturing processes. Here a case of power switch is investigated and analysis is carried out in terms of the automation strategy. Each process is analyzed by parameters like efficiency, …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 2, 2018 · pp. 7–17 Read article
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Fused Deposition Modelling-based 3D Printing: A Systematic Literature Review Employing VOS Viewer
Abstract: Fused Deposition Modelling, also known as FDM, has emerged as a major technology in the field of 3D printing. It provides adaptability and cost-effectiveness in the process of materializing intricate designs. This paper intends to conduct a complete bibliometric analysis (BA) of 3D printing based on fused deposition modelling (FDM) in order to comprehend the trend and research field. After extracting data from the Scopus database using the titles, abstracts, …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 197–202 Read article
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A Quantitative Fuzzy MCDM Framework for Decision Support in Uncertain Environments
Abstract: Fuzzy mathematics play an increasingly generalized role in decision-making, and thus, this paper details different types of fuzzy mathematics and it signs other possible solutions in addition to fuzzy mathematics. Fuzzy models offer a versatile and precise approach to assessing complex situations through the use of fuzzy sets, membership functions, and aggregation methods. Through time, cost and quality, the project management case study illustrates how fuzzy logic works for them. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 1, 2026 · pp. 1–8 Read article
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Regression and ANN Models in Predicting Tool Wear
Abstract: A modern machining system must be able to detect tool wear while milling in order to maintain the product's surface quality. The vibration signatures produced by a single point cutting tool during machining have been found to be good predictors of the tool's health. The current study used Artificial Neural Networks to forecast tool life by analysing vibration signatures when turning EN9 and EN24 steel alloys (ANN). Tool wear prediction …
Published in Journal of Production Research & Management · Vol. 12, Issue 1, 2022 · pp. 14–18 Read article
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Advanced Lithium-Ion Battery Prognostics: A Comprehensive Review of Machine Learning Approaches for Remaining Useful Life Prediction
Abstract: The lithium-ion battery (LIB), as one of the main sources for portable power systems, has been increasingly popular owing to its widespread applications in electric vehicles, consumer electronics, aerospace and renewable energy. Despite their advantages in high energy density and long cycle life, LIBs suffer from degradation over time of aging and cycling, resulting in loss of performance, safety issues, and economic bottlenecks. Predicting their Remaining Useful Life (RUL) is …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 12–27 Read article
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Tri-Band Edge-Cut Rectangular Microstrip Patch Antenna on Composite Substrate for RF Energy Harvesting in IoT Networks
Abstract: The increasing use of Internet of Things devices underscores the pressing need for sustainable energy solutions, since traditional batteries necessitate regular replacement and constrain scalability. Radio frequency energy harvesting is a viable option; nonetheless, antenna design continues to provide a significant problem owing to the requirements for compactness, efficiency, and multi-band functionality. A hybrid composite substrate configuration combining FR4 (εr = 4.3) and RT Duroid (εr = 2.2) is employed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 867–883 Read article
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IoT Enabled Production Scheduling
Abstract: In the world of high competition between various firms; it is important that firms plan their production in advance. This will help them maximize the use of available resource and facilities. Production scheduling discusses the process of assigning an order to machines considering the total time available, required time, type of order and to arrange these orders in such way that machine idle time is minimized. By legitimate planning, firms …
Published in Journal of Production Research & Management · Vol. 8, Issue 3, 2018 · pp. 16–23 Read article
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Optimizing Residential Energy Costs with PEV-based Energy Storage and Particle Swarm Optimization
Abstract: This research addresses the critical challenge of optimizing electrical energy usage amidst the increasing integration of variable renewable energy sources and the widespread adoption of electric vehicles (EVs). The core objective is to alleviate the energy cost burden for residential consumers by leveraging the capacity of Plug-in Electric Vehicles (PEVs) as an auxiliary energy source. Through innovative utilization of PEVs for both charging and discharging actions based on dynamic electricity …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 14, Issue 3, 2024 · pp. 19–29 Read article
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Evaluation Of Anti Obesity Activity Of Citrus Sinensis & Citrus Limon By High Fat Diet Induced Model Using Danio Rerio
Abstract: Obesity, defined by the World Health Organization (WHO) as an abnormal or excessive fat accumulation that may impair health, is becoming one of the greatest challenges to global health in this millennium, with more than 300 million men and nearly 450 million women obese globally in 2018. Obesity turns into serious problem globally. Zebrafish model can be used extensively for drug screening due to its low maintenance cost, comparatively short …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 1, 2024 · pp. 24–31 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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A Parametric Study of Methylene Blue Adsorption Using Low-cost Adsorbent
Abstract: This research focused on the adsorptive capacity of activated carbonaceous substance made from the peel of Spanish cherries to remove methylene blue dye from wastewater. Through batch adsorption tests, the impact of several variables on the percentage of dye removal was examined. These variables included adsorbent preparation temperature, adsorbent dosages, initial concentration of dye solution, process time, pH of dye solution, and operation temperature. It was found that using 1 …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 10, Issue 3, 2023 · pp. 10–16 Read article
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Advancements in Windmill Technology: Comprehensive Research on Conventional and Piezoelectric Windmills
Abstract: This research delves into the structural components and mechanisms of conventional wind turbines, emphasizing blade material considerations for optimal performance. It introduces a paradigm shift by exploring the use of epoxy resin and piezoelectric materials, specifically zinc oxide, in wind turbine blades. The study presents mathematical models and conducts a comparative analysis between conventional and piezoelectric turbines, evaluating efficiency, cost-effectiveness, environmental impact, and energy output differences. While awaiting experimental data, …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 31–42 Read article
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Design of Plant for the Production of 30,000 Tons Per Year Capacity of Dimethyl Carbonate (DMC) from Natural Gas Using Aspen HYSYS
Abstract: This study focuses on the design of a plant for the production of 30,000 tons per year of dimethyl carbonate (DMC) from natural gas. The plant design was carried out using the Aspen HYSYS Software. The data obtained from Kokori natural gas served as the primary feedstock for the plant. A kinetic model for the production of DMC was developed from existing literature, followed by the development of the mathematical …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 3, 2025 · pp. 45–60 Read article