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1903 articles for “mode” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Assessing Flow Pattern of Sabarmati River Portion at Hirpura Barrage Site Gujarat, India Using HEC-RAS Hydrodynamic Models and Physical Models
Abstract: A barrage is proposed to be constructed across river Sabarmati, 60 km downstream of Daroi dam to create reservoir within the bank for recharging and meeting water demand of nearby areas. For analyzing the flow pattern and assessing the hydraulic parameters of Hipura barrage on Sabarmati river near Hirpura village of Mehsana District of Gujarat, a 3D physical model with geometrically similar scale 1:80 for river reach 3 km (1 …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 3, 2019 · pp. 46–51 Read article
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A Core Loss Model Based on Finite Element Method for Switched Reluctance Generator Considering Different Control Modes
Abstract: In the present paper, core loss modeling of switched reluctance generator (SRG) is proposed for the first time. Using ANSYS finite element (FE) package, 2D FE transient analysis of SRG is carried out and the stator pole flux waveform is predicted. To determine the flux waveforms in the different parts of the machine, an introduced mathematical flux model is considered and its algorithm is implemented in ANSYS Parametric Design Language …
Published in Trends in Electrical Engineering · Vol. 4, Issue 2, 2014 · pp. 26–33 Read article
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Modelling of Spot Weld Features Using Solid Works and Experimental Modal Analysis of Resistance Spot Welded Thin Sheets of Low Carbon Steel Panels
Abstract: Resistance Spot Welding of thin (RSW) low carbon steel sheets are widely used in automotive, aero-space sectors, furniture, medical equipments, packaging and electronics industries. Although, RSW is well established for low thickness sheets and static design guidelines are well defined, the dynamic analysis of spot welded panels has not been studied in detail. In this paper, solid modeling is done using Solid Works incorporating all the spot weld geometrical features …
Published in Trends in Machine design · Vol. 10, Issue 3, 2023 · pp. 29–39 Read article
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Visionary Fusion: Empowering Robot Sight with Model-driven Multi-band Enhancement
Abstract: Single image enhancement is crucial for improving visual quality in applications like robot vision. This study proposes a novel topic-model assisted multi-band image fusion method to enhance a single input image while preserving semantic information. The key innovation is using topic models for adaptive band fusion based on image content. Comparative experiments on benchmark datasets demonstrate that the proposed technique outperforms state-of-the-art methods in quantitative and qualitative evaluation. This study …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 11–19 Read article
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Wax Deposition Modeling and Comparison with Field Data for Some Indian Oil Fields
Abstract: One of the major determinants for flow assurance of crude oil is its constitution and involves successful management of solid deposits. Major challenges in flow assurance are adequate selection of production equipment and pipelines. Control of wax deposition and its challenge can be met with better prediction through wax modeling. Precipitation of paraffin out of supersaturated crude oil mixture is responsible for wax deposits in pipelines. The authors have seen …
Published in Recent Trends in Fluid Mechanics · Vol. 4, Issue 1, 2017 · pp. 1–15 Read article
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Advancements in Material Design and Motion Control: Integrating Additive Manufacturing, Fused Deposition Modeling, and Precision Systems in Modern Applications
Abstract: The interaction between material design, mechanical properties, and advanced motion control systems is vital in a range of engineering domains, including robotics, electronics, and manufacturing. This article examines two key areas: the mechanical properties and design of cutting-edge materials, focusing on composites, polymers, ceramics, and fibers, and the integration of advanced motion control systems in hand-held electronic and photographic devices. The first section delves into the mechanical behavior of various …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 2, 2024 · pp. 26–30 Read article
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Weighted Latent Dirichlet Allocation, an Optimized and Generalized Probabilistic Topic Model
Abstract: In this study, we have introduced a new distribution named as Mixture Weighted Dirichlet Distribution (MWDD) which acts as generalization to other distributions viz. Dirichlet Distribution, Length or Size-Biased Dirichlet, Area Biased and Volume Biased Dirichlet distributions. Aim of this research is to introduce and implement MWDD for Probabilistic Topic Modeling of Corpus of textual data as an optimized as well as generalized probabilistic topic model. Various statistical and structural …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 18–31 Read article
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Neural Network Model Prediction: A prediction model for Toxin release in environment from E-Waste
Abstract: — There is an exponential increase in the use of electronic devices, especially mobile gadgets. Earlier people used to replace their gadgets only when they were damaged but it is not the case now. Damages are no longer the only reason for disposing of electronic devices, where technical worn out, new product features, better aesthetics and emotional value are having strong influences to the disposal of the devices. This paper …
Published in Recent Trends in Programming languages · Vol. 4, Issue 3, 2017 · pp. 16–20 Read article
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Performance Analysis of Mobility over the Integrated UMTS and WLAN Network in different Mobility Models with Vertical Handoff Prediction Algorithms using Streaming Service
Abstract: The seamless mobility is the final goal of any heterogeneous network. It can be achieved by selecting a suitable vertical handoff prediction algorithm, which can perform well in different mobility models. This paper presents comparative performance of mobility over the integrated universal mobile telecommunications system (UMTS) and wireless local area network (WLAN) in different mobility models (the file-based mobility model and the random waypoint mobility model) with vertical handoff prediction …
Published in Recent Trends in Electronics Communication Systems · Vol. 3, Issue 1, 2016 · pp. 35–47 Read article
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Continuous-Time Modelling of the Two-Input Fourth Order DC_DC Converter
Abstract: Two-input fourth-order integrated (TIFOI) converter is designed to process the power from two different sources Vg1 and Vg2. This converter facilitates regulation of dc-bus voltage and LVS current. In the power conversion process it performs bucking operation for first dc source Vg1, buck-boost operation for the second source Vg2. Power stage dynamics of the TIFOI converters is modeled using the state-space analysis. The system modelling plays an important role in …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 4, 2021 · pp. 1–11 Read article
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Reviving Retro: Exploring the Resurgence of Vintage and Mid-Century Modern Design in Contemporary Residential Interiors
Abstract: The revival of vintage and mid-century modern design within contemporary residential interiors has emerged as a prominent trend, captivating homeowners, designers, and enthusiasts alike. This research paper aims to comprehensively explore this phenomenon, delving into its historical roots, the multifaceted factors driving its resurgence, the defining characteristics of vintage and mid-century modern design, its enduring appeal, and its implications for contemporary interior design practices. Through an extensive review of literature, …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 1, 2024 · pp. 1–8 Read article
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Describing Microbial Growth Rate in Solid Suspended Media using Monod and Haldane Models
Abstract: This work details the procedure for curve fitting the Monod and Haldane’s growth models in for solid suspended media such as food waste; in order to determine their parameters for solid suspended media such as food waste. Seven different batch runs; each with initial substrate concentration were studied at constant temperature. A modified method was used to quantify the mass of microbes during the rection process and data obtained were …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 1, 2024 Read article
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Phygital: An Innovative Model for Developing Receptive Skills in English Through Learner Autonomy
Abstract: The study named “Phygital: An Innovative Model for Developing Receptive Skills in English through Learner Autonomy” tries to establish that it is an innovative scientific model, evidently distinguished from other prototypes such as blended learning, e-learning, flip learning, online learning, hybrid learning etc. The paper also tries to emphasize that it is best suited for the new age learners and that it enhances the receptive skills (listening and reading) in …
Published in Emerging Trends in Languages · Vol. 2, Issue 2, 2025 · pp. 1–9 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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Phase – Field Modeling of Brittle and Ductile Fracture Under Complex Loading Conditions
Abstract: Phase-field modeling has emerged as a powerful computational framework for predicting fracture behavior in engineering materials, offering a unified description of crack initiation, propagation, branching, and coalescence without the need for explicit crack tracking. This study presents an in-depth examination of phase-field modeling applied to both brittle and ductile fracture under complex loading conditions, including multiaxial stress states, cyclic loading, thermal gradients, and dynamic impact. The phase-field approach regularizes the …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 13–18 Read article
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Combining Unstructured and Structured Clinical Data in a Hybrid Transformer Model to Enhance Cardiovascular Analytics and Clinical Decision- Making
Abstract: Since cardiovascular disease (CVD) continues to be a major global cause of morbidity and mortality, early and accurate risk prediction is essential for prompt intervention and individualized treatment. This study introduces a new hybrid transformer-based model that combines unstructured clinical narratives, structured data, and customized lifestyle characteristics. A comprehensive understanding of disease progression is made possible by the model's ability to capture contextual, temporal, and patient- specific insights through the …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 30–37 Read article
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A Comparison of Different Generative AI Models
Abstract: Generative models have significantly advanced the field of artificial intelligence by allowing machines to produce complex and realistic outputs such as images, text, and other forms of data. Among the leading frameworks in this domain are generative adversarial networks (GANs), variational autoencoders (VAEs), and architectures based on Transformers. Each model offers specific benefits and drawbacks concerning design structure, training demands, and range of applications. This paper provides a detailed comparison …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 16–22 Read article
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Remote Sensing and Atmospheric Modelling: Data, Processes, Integration and Future Directions
Abstract: Atmospheric modelling plays a central role in weather forecasting, climate projection, and air quality assessment; however, the availability, accuracy, and representativeness of atmospheric observations fundamentally constrain its reliability. Over the past two decades, rapid advances in remote sensing (RS) have transformed atmospheric observation by providing spatially continuous, multiscale measurements of key atmospheric variables, including aerosols, trace gases, clouds, precipitation, and atmospheric thermodynamic profiles. This review synthesises recent progress in integrating …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 54–67 Read article
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Data-Driven Digital Twin Model for Real-Time Strength Estimation in Polymeric Materials
Abstract: The real-time prediction of mechanical properties in polymeric materials is essential for ensuring quality, consistency, and operational efficiency in modern manufacturing systems. As industrial processes become increasingly complex, traditional trial-and-error approaches to material characterization are no longer sufficient to meet the demands of high-throughput production environments. This study introduces a digital twin-integrated machine learning approach for the real-time estimation of tensile strength in polymeric materials by combining simulation-driven insights with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 246–257 Read article
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Identification of best Reliability model among various Reliability Models
Abstract: Development of reliable software is one of the most difficult problems which the software Industry is facing. Schedule pressure, limitations of available resources, and requirement set of customer are the major factors that has negative impact upon the reliability of any software . Creating highly reliable software is especially hard when there is dependency among the various modules of software. It is also a difficult to find whether or not …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 1, 2018 · pp. 12–14 Read article