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40 articles for “Cost estimation technique”
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A Methdology of Software Cost Estimation Techniques for Data Mining
Abstract: Many software projects fail every year due to increasing size and complexity of software projects. To deal with this problem many researcher have been focused on this area of Cost estimation since 1960s. The cost estimation is usually dependent upon the size estimate of the project, which may use lines of code as metrics. Software engineering plays an important role in software development process. It is used to develop quality …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 82–87 Read article
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Review on Impact of Factor Affecting Cost Estimation Corresponding with Stakeholder’s Prospective View
Abstract: For project planning and finance, it is essential to make very accurate cost estimates for construction projects early on in the project development process. Before purchasing a site and committing to build, construction clients need timely and accurate cost advice in order to make an informed decision about whether to proceed with the project or not. The accuracy of a cost estimate, however, could be impacted by numerous variables. The …
Published in Journal of Construction Engineering, Technology & Management · Vol. 12, Issue 3, 2022 · pp. 37–43 Read article
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Efficient Transmission Pricing using Power Flow Tracing
Abstract: The evolution of transmission pricing philosophies in deregulated power markets has introduced various techniques for efficient and accurate cost estimation of power exchanges. Earlier methods of postage stamp cost estimation failed to provide accurate cost signals. Point of Connection (POC) method is a technique through which a considerable sunk cost can be recovered but is still inefficient if applied alone. In addition to this, the POC method along with the …
Published in Journal of Power Electronics and Power Systems · Vol. 13, Issue 1, 2023 · pp. 6–15 Read article
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Analytical Method Development and Validation for Simultaneous Estimation of Paracetamol and Piroxicam by UV Method
Abstract: A new establishment and validation of a simple, precise, accurate and cost effective UV-Visible spectrophotometric method was developed to estimate both Paracetamol and Piroxicam simultaneously in conjoined pharmaceutical dosage forms. This technique was founded on simultaneous equation method of absorbances recorded at 252.0 nm and 282.0 nm of Paracetamol and Piroxicam in methanol respectively and an isosbestic point could be observed at 265.0 nm. It showed very good linearity over …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 3, 2025 · pp. 14–21 Read article
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Cloud-driven Fraud Detection: Evaluating Decision Tree and Random Forest Classifiers for Credit Card Transaction Security
Abstract: With the alarming rise in global financial fraud, necessitating substantial annual losses, modern techniques for fraud detection are continuously evolving across various business domains. Fraud detection involves constant monitoring of user activities to estimate, perceive, or prevent undesirable behaviour. Cloud Computing emerges as a promising solution, accelerating application deployment, fostering creativity and innovation, reducing costs, and enhancing overall business acumen. This study introduces a cloud-driven approach to fraud detection, specifically …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 13–27 Read article
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Assessment of antibody titer distribution against Salmonella enterica among suspected enteric fever patients.
Abstract: Typhoid fever is a global health problem, causing millions of deaths each year. It is an endemic problem in many developing countries including Nepal. Development of exceptional mechanisms for persistence in its host supports its survival and transmission. However, due to a lack of sophisticated labs and adequate funds, difficulties in the estimation of worldwide impact are often encountered. The Widal test is a diagnostic technique extensively employed to identify …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 13, Issue 2, 2023 · pp. 26–33 Read article
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Traffic Density Estimation Using Image Frames in Python
Abstract: Traffic congestion is a critical challenge in modern urban environments, leading to significant delays, environmental pollution, and increased accident rates. With the rapid growth of vehicle populations in metropolitan areas worldwide, the need for intelligent and automated traffic monitoring systems has become increasingly urgent. Traditional monitoring approaches, such as inductive loop detectors and manual surveillance, are limited in scalability, deployment cost, and adaptability to dynamic traffic scenarios. This paper presents …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 38–45 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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Data-driven Approaches to Mineral Resource Management Using AI: A Brief Review
Abstract: The role of Artificial Intelligence (AI) in the mineral resource sector has become increasingly significant over the past few years, as industries seek to optimize and modernize their operations. AI encompasses a variety of technologies and techniques, such as machine learning, deep learning, and expert systems, that are now widely used in mineral exploration, resource estimation, and mine management. These AI-driven approaches have brought about a transformative shift, enhancing efficiency, …
Published in International Journal of Minerals · Vol. 2, Issue 1, 2025 · pp. 25–29 Read article
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A Novel Technique for Stability Testing of Alliin and Sennosides in Unani Formulations
Abstract: Unani system of medicines is a science which deals with the preventive and promotive aspects of health of human beings and health problems that arise due to factors like ecological and/or environmental, which include humours categorized as blood, phlegm, yellow bile and black bile, and different biological fluids circulating in various vessels of the body. There is significant mandate in drug testing for a specific and precise analytical method for …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 1, Issue 1, 2014 Read article
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Power Estimation Approach for Artix 7 FPGA using Machine Learning Technique
Abstract: Abstract This paper presents the power estimation approach using a suitable machine learning technique. Artix7 FPGA has been chosen as the target FPGA (Field Programmable Gate Arrays) platform for understanding the methodology of power estimation. There are various approaches of power estimation for FPGAs that have been given in the literature viz. probabilistic, statistical, and LUT-based, etc. In the past few years, the demand for hand-handled devices like smartphones, tabs, …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 1–5 Read article
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A Review on Two-Wheeled Self-Balancing Robot Using Spartan-3E FPGA for Sensor Fusion and Real-Time Motor Control
Abstract: Two-wheeled self-balancing robots (TWSBR) are a popular application of embedded control and robotics because they operate on the inverted pendulum concept, which is naturally unstable. The main objective of such robots is to continuously maintain balance by estimating the tilt angle and applying corrective motor action in real time. In most practical systems, low-cost inertial sensors such as accelerometers and gyroscopes are used for tilt measurement. However, accelerometer readings are …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 1, 2026 · pp. 17–27 Read article
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Optimize Throughput by Estimating Optimal Packet Length for Wireless Sensor Node
Abstract: AbstractA Wireless Sensor Network (WSN) is employed for monitoring and control of distributed sensing points with the use of Sensor Nodes (SN). The sensor nodes form a wireless network to disseminate the sensed data over to the base station for its processing and analysis. For a wireless network, effective and efficient communication of data from the sensor node to base station plays a vital role in estimating the life of …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 37–45 Read article
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Smart Grid Energy Saving Technique Using Machine Learning
Abstract: The energy authorities provided the computation at reasonable rates for straightforward congestion management. By giving the specific information needed for energy use that is aimed towards client demands, the microgrid enables significant energy cost reductions & better power cash reserves. Processing data and producing predictions for a developing electrical system would be difficult, nevertheless, given the analysis that has been done and the population's characteristics. A Deep Learning (DL) Electricity …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 3, 2022 · pp. 1–10 Read article
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Application of Neural Network Analysis to Correlate the Properties of Plasma Spray Coating
Abstract: Thermal spray coatings are more often being demanding process at the recent stages of industrial design processes to become fundamental element of the engineering system. The aim of the present paper is to develop a model-based estimation and control for regulating the coating adhesion strength, by using neural network. This proposed model permits cost reduction by the possibility of adjusting the parameter of the process for each of the desired …
Published in Journal of Materials & Metallurgical Engineering · Vol. 2, Issue 1-3, 2012 · pp. 1–10 Read article
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A Review on Estimation of Hb Percentage and Electrophoretic Pattern in Low Hb Count Cancer Patient
Abstract: Haemoglobin is a protein in the red blood cells that carry oxygen. Hb evaluation is a fast, valid and trustworthy method to detect blood deficiency. Direct cyanmethemoglobin has been the gold standard method for Hb estimation but there are many other methods available as well, for example, haemoglobin colour scale, Sahli method, Lovibond-Drabkin method, Tallqvist technique, copper sulphate method, HemoCue, automated haematology analysers and complete blood count to name a …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 12, Issue 1, 2023 · pp. 29–32 Read article
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OBD-II Big Data–Driven ML and AI-Based Virtual Sensing for Fuel Economy, Component Health, and Carbon Intelligence
Abstract: The rapid growth of connected vehicles has led to the large-scale availability of high-frequency On-Board Diagnostics II (OBD-II) data; however, much of this data remains underutilised, as existing studies and commercial systems typically address fuel economy, maintenance, or emissions in isolation or rely on additional physical sensors. Such fragmented and sensor-dependent approaches limit scalability and increase system cost, particularly in high-volume and resource-constrained vehicle markets. To address this gap, this …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 41–52 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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Performance Analysis And Battery Management System Optimization In Electric Vehicles
Abstract: The rapid electrification of the automotive industry has led to an increased need for battery management systems that are not only efficient and safe but also intelligent. BMS is the device that guarantees the best use of the battery, prolongs its life, and allows its safe operation even under different environmental and load conditions. Through the synthesis of literature and industry practices, this paper acts as a tribute to the …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 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