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784 articles for “model-based approach”
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Sensitivity of Shape Factor Impacts in Water Works Infrastructure Failure
Abstract: Simple geometry used in water software and hydride sign works was failed here. Comprehensive real data with complex irregular geometries were incorporated provided for wider application and feasible solutions. A realistic and more practical approach was tested, found reliable and compatible with water engineering principles considered for calculation of volumetric water rates by three types of Ogee shapes. Results indicated proximity between numerical and experimental data accurately predicted based on …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 1, 2017 · pp. 25–34 Read article
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Decision Fusion based Pair of Iris Recognition using Back-Propagation Learning Neural Network Algorithm
Abstract: AbstractThe contribution of this work is to enhance the performance of the iris recognition system through decision fusion of left and right iris pattern. Iris recognition system performs well and identify human correctly in neutral environment. In this paper a pair of iris recognition system has been proposed, which is capable enough to identify human through noisy environments. Principal component analysis based dimensionality reduction technique has been used toreduce and …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 1–6 Read article
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An Evolution of the Pixel Embedding Techniques in Image Based Adaptive Steganography
Abstract: The word “Steganography” was basically derived from the Greek words with the meaning “covered writing.” This paper presents some of the main adaptive image steganography approaches. Many algorithms have been presented; in almost all the algorithms the approach is to embed the secret data in the images. Here we are discussing about adaptive steganography which is based upon spatial domain and frequency domain with an additional layer of mathematical model. …
Published in Journal of Web Engineering & Technology · Vol. 1, Issue 1, 2014 · pp. 1–18 Read article
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Comparative Assessment of Tropical Basins in the Savanna and Rain Forest Ecological Zones for Crop Production in Nigeria
Abstract: AbstractThis paper reviews the precarious situation of agricultural production in Africa and Nigeria specifically, in line with the emerging concepts of geoinformatics, precision farming and sustainable agricultural intensification. To illustrate the feasibility of operationalising these concepts in Nigeria, Ikpoba and Orle River basins (that are of the rain forest and savannah ecological zones, respectively) were classified into land suitability zones for the optimum cultivation of maize, cassava, yam and oil …
Published in Research & Reviews : Journal of Ecology · Vol. 3, Issue 1, 2014 · pp. 1–14 Read article
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Comparative Study on Fatigue Analysis Methods using Turret-moored FPSO Model
Abstract: Abstract Floating structures are prone to fatigue due to high cyclic loads mainly caused by waves and changing loading conditions. Therefore, fatigue is an important criterion during design. The fatigue life is dependent upon factors such as global and local design, workmanship during construction, maintenance, corrosion protection, and trade and load history. Different approaches are applied to the fatigue strength assessment. Longitudinal stiffener end connections are also important structural elements …
Published in Journal of Offshore Structure and Technology · Vol. 3, Issue 3, 2016 · pp. 1–15 Read article
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An Innovative AI-Integrated Approach for Identifying the Tensile Robustness of Polymeric Materials
Abstract: Polymeric materials have so many applications and character similar to flexibility, robustness and lightweight nature they are essential to a large variety of industries. Though, it is difficult to establish their tensile robustness appropriately, particularly in a variety of environmental situation. Provide a recommended Artificial Intelligence (AI)-integrated method to decide the issues of rapidly ascertaining the tensile robustness of the polymeric material. Using machine learning (ML), this study, predicted and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 90–97 Read article
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Drug-likeness and 3D-QSAR Analysis of 1,2,3-triazoles as Novel Potent HIV-1 Vif Inhibitors: An approach in the development of Leads in the Treatment of HIV Infection
Abstract: AbstractThe human immunodeficiency virus type 1 (HIV-1) Vif protein is one of various primate lentiviral accessory proteins that act as a virulence factor to advance viral duplication and persistence. 3D quantitative structure-activity relationship (QSAR) modeling of thirty-six (36) newly discovered 1,2,3-triazole analogs as potent novel inhibitors of HIV-1 Vif to predict their biological activity (pIC50), to try to improve/optimize it using some numerical data of HIV-1 Vif inhibitors based on …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 9, Issue 3, 2022 · pp. 23–37 Read article
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Privacy-preserving Multi-keyword Search in Multi-owner Setting Using Blockchain
Abstract: Searchable encryption (SE) has become an essential cryptographic technique, allowing users to securely search through encrypted data. However, most existing SE schemes rely on a single intermediary, such as a cloud server, leading to potential single-point failures, privacy breaches, and untrustworthy results. Many blockchain-based SE schemes have been proposed to address these issues. However, they frequently encounter difficulties such as supporting a multi-keyword, multi-owner model, ensuring query privacy, and maintaining …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 12–18 Read article
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Modeling of Maximum Power Point Tracking Controllers for Wind Generation System using Hill Climb Searching Technique
Abstract: In this paper, based on a low-cost, small-scale application, presents a Maximum Power Point Tracking (MPPT) controller for wind generation systems (WGS). The Hill Climb Search approach served as the foundation for the development of the MPPT algorithm. To account for the inertia of wind turbines, an enhanced hill-climb searching approach has been created as a fundamental component of the max-power extraction algorithm. Under varying wind conditions, the generator can …
Published in Journal of Power Electronics and Power Systems · Vol. 13, Issue 3, 2023 · pp. 39–47 Read article
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Improved Software Cost Estimation using General Search based Analogous Project Feature Weight Assignment
Abstract: Software cost estimation is the estimation of development effort and time required to develop any software project. Analogy based estimation is considered as one of the most popular techniques used in software cost estimation. Analogy based estimation is mostly appraised for its expensive computation cost , low prediction accuracy and large memory requirements despite many research works focusing on optimizing the weights of the project features being carried out in …
Published in Journal of Advances in Shell Programming · Vol. 6, Issue 1, 2019 · pp. 20–26 Read article
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QSAR Modeling Techniques A Comprehensive Review of Tools and Best Practices
Abstract: Quantitative Structure–Activity Relationship (QSAR) modeling has become an essential tool in drug discovery, toxicity assessment, and environmental chemistry. By correlating chemical structure with biological activity or toxicity, QSAR enables the prediction of compound behavior without extensive experimental testing. This approach not only saves time and resources but also supports ethical practices by reducing reliance on animal studies. The evolution of QSAR from basic linear models to advanced machine learning and …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 56–63 Read article
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Application of Convolutional Neural Networks in Design of Efficient Pipe Flow System
Abstract: Convolutional Neural Networks exhibit remarkable capabilities in flow pattern recognition, pressure drop prediction, leak detection, and system optimization through their ability to process complex spatial and temporal data patterns. The study examines CNN architectures specifically adapted for fluid dynamics applications, including data preprocessing techniques, feature extraction methods, and performance optimization strategies. Key applications include real-time flow monitoring, predictive maintenance, design parameter optimization, and anomaly detection in pipe networks. Comparative analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 1–9 Read article
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An Analysis of Open-Access E-Journals in Library and Information Science
Abstract: The growth of open-access e-journals in the field of Library and Information Science represents a transformative shift today. Open-access journals provide unrestricted access to peer-reviewed research, enabling Library and Information Science (LIS) professionals, researchers, and students worldwide to access required knowledge without subscription barriers. This study evaluates open-access (OA) e-journals in the field of LIS, assessing their accessibility, quality, and impact. Objectives: The main objectives of the study are to …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 3, 2025 · pp. 39–56 Read article
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The Early Brain Hemorrhage Prediction System Using Machine Learning
Abstract: Brain hemorrhage is a critical medical emergency that requires immediate attention, as delays in diagnosis can result in severe neurological damage or death. The condition involves bleeding within or around brain tissues, leading to increased intracranial pressure and disruption of normal brain function. Although imaging techniques such as CT scans and MRI provide accurate diagnosis, their availability is limited in emergency and rural settings. In recent years, machine learning has …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 Read article
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Improving the Forecasting Accuracy of a Project Status Using the Inputs of Earned Value Management – A Review Article
Abstract: The earned value method (EVM) is recognized as a viable method for evaluating and forecasting project cost performance. Its application to schedule performance forecasting has been limited due to poor accuracy. The index based EVM forecasting methods are deterministic approaches having large forecasting errors in the initial stages of a project. Hence this paper gives a brief overview of the advanced accurate approaches like Kalman filter, growth model and linear …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 3, 2015 · pp. 13–17 Read article
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Wall Street Prognosis
Abstract: We all know that the stock market is volatile. There is so much turmoil and turbulence in the stock market that it is difficult to predict what will happen. The main purpose of the thematic debate is to predict the future stability of the market with probability coefficients. Investors are familiar with the adage “buy low, sell high” but it doesn't provide enough context to make sound investment decisions. Before …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 1, 2023 · pp. 9–15 Read article
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Harmonic Analysis of Full-Wave Diode Bridge Rectifier Circuits
Abstract: This paper analyzes the steady-state harmonic performance of four-diode, single-phase full-wave rectifier bridge circuits. The frequency spectra of the source and load currents are presented. The effect of the load resistance, the source inductance, the smoothing shunt- capacitor as well as the waveform of the supply voltage is illustrated. The approach can also handle cases involving non-sinusoidal sources and non-linear loads. Based on a Mathematica code, the paper presents the …
Published in Trends in Electrical Engineering · Vol. 10, Issue 1, 2020 · pp. 7–21 Read article
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A study to assess the knowledge and attitude towards healthy and regular breakfast among undergraduate students of Moradabad, U.P.
Abstract: A research titled “A study to assess knowledge and attitude towards healthy and regular breakfast among undergraduate students of selected colleges of Moradabad, UP, was conducted in partial fulfillment of the requirement of a degree of ‘Bachelors of Science in Nursing at Vivekanand College of Nursing, Moradabad, UP. The present study is an attempt to determine the students’ knowledge towards healthy and regular breakfast, which in turn will help the …
Published in Journal of Nursing Science & Practice · Vol. 11, Issue 1, 2021 · pp. 6–22 Read article
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Comparative Study of Reinforcement Learning Algorithms on Traffic Light Control System
Abstract: With the changing times, the need of upgraded and efficient state-of-the-art traffic light control system is truly required. How well do various state-of-the-art algorithms handle complex real-life situations, more technically speaking, how well the reward function operates and minimizes the waiting time, is the prime question of the hour. Here we have successfully employed three reinforcement learning agents-REINFORCE, D3QN and DDPG each of which can independently handle large volumes of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 3, 2021 · pp. 33–45 Read article
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Design and Performance Evaluation of PLA-based Umbrella Wheels for Stair-Climbing Robotic Applications
Abstract: Staircase climbing robots require a complex design capable of navigating various stair configurations. A crucial component of such robots is the wheel mechanism. This paper focuses on the umbrella wheel mechanism and its application in staircase climbing robots. In this study, a PLA–based umbrella wheel structure is developed and fabricated using fused deposition modeling (FDM) for application in stair-climbing robots. The umbrella wheel geometry enables transformation from a circular rolling …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 808–824 Read article