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154 articles for “Accuracy estimation”
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Machine Learning Based House Price Forecasting
Abstract: This research endeavours to craft a predictive model leveraging machine learning to estimate the market value of houses in Delhi. By integrating Python and its powerful libraries, pandas for data processing, Plot for interactive visualizations, scikit-learn for implementing machine learning algorithms, XGBoost for boosting the model's prediction accuracy, and to evaluate the model's performance cross-validation techniques are used. An interactive user interface is created using a Flask web application to …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 5–11 Read article
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An Analysis of Machining Parameters for Metal Matrix Composite
Abstract: The electro-discharge machining analysis of hybrid Composite is presented in this work. Variables are chosen for the input process parameters. The material removal rate is acknowledged as an output parameter, together with the current, graphite and silicon carbide percentage and pulse on time. We used the Taguchi Method to conduct our experiments. To create the theoretical model and look into how process parameters affect the rate at which material is …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 76–85 Read article
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INTEGRATION OF REVIT TO MICROSOFT PROJECT FOR CONSTRUCTION PROJECT MANAGEMENT: A COMPARATIVE ANALYSIS OF SCHEDULING AND RESOURCE ALLOCATION
Abstract: Building Information Modelling (BIM) has revolutionized the construction sector by having architectural, structural, and mechanical design on one 3D platform. Autodesk Revit application enables real-time updates and changes without increasing errors and omissions. Its parametric nature allows users to develop intelligent models, enhancing decision-making, resource allocation, and cost estimation. Revit's visual representation allows effective coordination and communication with stakeholders, promoting a higher degree of client satisfaction. The application and benefits …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 13–46 Read article
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Diabetes Risk & Al Nutrition Assistant
Abstract: The rising prevalence of diabetes mellitus has emerged as a major global health challenge. Early identification of individuals at risk, combined with personalized lifestyle-based interventions, can significantly reduce future complications. This study presents an AI-driven Nutrition Assistant integrated with a Diabetes Risk Prediction model. The system uses a machine learning classification approach to estimate the likelihood of diabetes based on clinical and nutritional factors, including body mass index, glucose levels, …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 31–38 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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Growth Performance and Weight Estimation of Large White Piglets Weaned at Different Ages
Abstract: The study was carried out on 24 neonatal large white piglets at the National Livestock Breeding Station, Pong-Tamale to assess their performance when weaned at different ages and to determine the relationship between linear body measurements and the body weight of piglets in weight prediction. The piglets were randomly weaned at three selected weaning ages (4, 6 and 8 weeks) but reared under uniform conditions. Initial body weight (BW), initial …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 4, Issue 3, 2015 · pp. 15–23 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 55–66 Read article
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Robust Classification of Traffic Signs Using Relief Feature Reduction Technique
Abstract: Ensuring driver safety amidst the rapid growth of global population and vehicular density continues to be a paramount challenge for transportation authorities and governments worldwide. With the rise of smart mobility solutions and autonomous driving technologies, the ability to detect, classify, and respond to traffic signs accurately has become critically important, especially under diverse and adverse environmental conditions such as rain, fog, or poor lighting. Reliable traffic sign recognition not …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 30–37 Read article
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House Price Estimation Using Linear Regression: A Machine Learning Perspective
Abstract: House price prediction plays a crucial role in the real estate industry, helping buyers, sellers, and investors make well-informed decisions. Accurate estimation of property values enables stakeholders to assess market trends, plan investments, and minimize financial risks. This study focuses on the application of linear regression, a fundamental and widely used machine learning algorithm, to predict house prices based on multiple influencing factors. These factors include location, property size, number …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 21–29 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
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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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Development and Validation of Simple UV-Spectrophotometric Method of Quantization of Domperidone in Solid Dosage Formulation using Mixed Solvency Concept
Abstract: Organic solvents are most frequently employed in spectrophotometric analyses. They may be the sources of pollution. Some of them may be toxic, while others may be costlier. Volatility may be a source of inaccuracy in spectrophotometric estimations. In the present investigation, it was proposed to solubilize Domperidone by the use of mixed solvency concept. Domperidone shows maximum absorbance in the concentrations range of 10–50µg/ml at 287 nm. Method of analyses …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 4, Issue 2, 2017 · pp. 19–23 Read article
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HPTLC Method Development and Validation of Genistein and Daidzein Estimation in Mucuna cochinchinensis Seed Extracts
Abstract: Aim: The current study was designed with the objective to estimate the concentration of Genistein and Daidzein in ethyl acetate extract of Mucuna cochinchinensis by high-performance thin-layer chromatography (HPTLC).Methods: The separation of bioactive compounds was performed using mobile phase, Toluene: n-Butanol: Glacial Acetic Acid: Water (1:4:2:2) and detected at wavelength 254 nm. The method was validated for linearity, accuracy, precision, limit of detection (LOD) and limit of quantification (LOQ) by …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 7, Issue 1, 2020 · pp. 16–25 Read article
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Simultaneous Estimation of Prazosin and Polythiazide in Bulk and Fixed Dose Combination (Tablets) by RP-HPLC
Abstract: Objective:A New method was established for simultaneous estimation of Prazosin and Polythiazide by RP-HPLC method. Methods:Chromatographic separations were carried using HPLC equipped with Auto Sampler and PDA Detector, Discovery (150 x 46 mm, 5mm) column with a mobile phase composition of Buffer and ACN: taken in the ratio 60:40 (60:40 v/v) have been delivered at a flow rate of 1ml/min and the detection was carried out using waters HPLC auto …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 12, Issue 3, 2025 · pp. 66–74 Read article
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Simultaneous Estimation of Atenolol and Nifedipine to be incorporated in Buccal Patch: Method Development and Validation by UV-Spectrophotometric Approach
Abstract: A simple, precise, accurate and reproducible spectrophotometric method has been developed for the simultaneous estimation of Atenolol and Nifedipine. Atenolol and Nifedipine are used in combined dosage form for cardiovascular diseases. Hence, it is necessary to develop a method to analyze the two drugs simultaneously by UV-spectroscopic method. Simulated salivary fluid of pH 6.8 was used as the medium. Simultaneous equation method was developed as per ICH guidelines. The absorption …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 2, Issue 1, 2015 · pp. 28–32 Read article
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Application of Hill Climbing Algorithm for Optimization of Plate Fin Heat Exchanger
Abstract: This paper demonstrates the application of Hill Climbing algorithm for the design optimization of Plate-Fin Heat Exchanger (PFHE). Maximization of the effectiveness and minimization of the total annual cost are considered as two objective functions. Thermal modelling is done by ε-NTU method to estimate the heat exchanger effectiveness and pressure drop. Fin pitch, fin height, fin offset length, cold stream flow length, no-flow length and hot stream flow length are …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 2, Issue 1, 2015 · pp. 1–6 Read article
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AI Approaches in Gait and Posture Analysis: A Review
Abstract: This review synthesizes current research on the application of artificial intelligence (AI) in gait and posture analysis, focusing on methodologies, algorithms, and clinical applications. It examines the use of machine learning (ML) and deep learning (DL) techniques to extract relevant features from sensorderived data, offering objective, and automated assessments that surpass traditional methods. A systematic literature review was conducted, analyzing studies that utilized AI for gait and posture analysis with …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 1–3 Read article
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Retrieval of Incoming Shortwave Radiation Using Satellite Approaches: An Overview
Abstract: The aim of this paper is to review the detail of incoming shortwave radiation retrieval approaches and put forth the required inputs. This review covers the worldwide research study for the estimation of incoming radiation using geostationary platform. Researches on the estimation of ground solar radiation have concentrated more on using the data from geostationary meteorological satellites since the orbit gives an advantage of obtaining multiple acquisitions in a day …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 2, 2012 · pp. 46–59 Read article
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Defining Regression Polynomials with Process Similarity Criteria
Abstract: Highly accurate monitoring and prediction is essential in detecting abnormality events and forecasting demands in supply chains. This investigation provides a computational procedure for defining polynomials that satisfy similarity criteria in the monitoring process for a polynomial of any degree. It provides an example of using algorithms to predict transient thermal processes in electronic devices. The second-degree polynomial defined with this algorithm is compared with a polynomial defined using a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 2, 2023 · pp. 13–20 Read article
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Development and Validation of a UV-Spectrophotometric method for the Estimation of Nintedanib Esylate in Bulk and its Formulation
Abstract: The present work represents a UV spectrophotometric method for the estimation of Nintedanib Esylate in pure and its formulation. Methanol was used as a solvent. Nintedanib Esylate exhibit absorption maxima at 391 nm. The developed method obeyed Beer-Lambert’s law in the concentration range of 3-18 µg/ml having a line equation Y = 0.065x + 0.001 with a correlation coefficient of 0.999. There is no interference from any pharmaceutical excipients. The …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 9, Issue 2, 2018 · pp. 49–53 Read article