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16 articles for “RMS”
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Evaluation of Deep Learning Optimizers for Gujarati Handwritten Numerals
Abstract: Handwritten digit recognition is a fundamental task in the field of pattern recognition and computer vision with numerous applications. The development of deep learning algorithms has greatly increased the efficiency and accuracy of recognition of handwritten digits systems. However, the choice of optimizer plays a crucial role in determining the convergence rate and final performance of deep learning models. In this study, we provide a thorough analysis of many deep …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 34–41 Read article
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Managing Rabson–Mendenhall Syndrome: A Case Report
Abstract: Rabson–Mendenhall syndrome is an uncommon genetic disorder that presents with a range of distinct characteristics. These include stunted growth, abnormal physical features, such as coarse facial features and crowded teeth, and a lack of subcutaneous fat. Additionally, individuals with Rabson–Mendenhall syndrome may experience enlarged genitalia, excessive hair growth (hirsutism), and abnormal glucose regulation. Pineal hyperplasia, a condition characterized by the enlargement of the pineal gland. In this case report, two …
Published in International journal of Nursing Science Practice and Research · Vol. 10, Issue 2, 2024 · pp. 38–43 Read article
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Object Reconstruction Using Phone and Compact Camera
Abstract: Previously, a 3D model can be produced by using high resolution and metric camera in close range photogrammetry technique. In this study, there were two types of camera used; the compact camera (Nikon COOLPIX L120) and phone camera (Samsung Galaxy Note1). Two objects were selected; i.e., a biscuit container as for simulation and water tank as the real object. 3D models for both objects were validated by using a measuring …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 6, Issue 1, 2020 · pp. 21–30 Read article
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Image Denoising Based on Wavelet Transform Using Weighted Highpass Filtering Coefficient and Various Filters
Abstract: Abstract— Image denoising (ID) is a material issue found in various image processing (IP) for preservation of image quality and information. There are numerous technique of denoising image. The most necessary property of ID model is that it should completely reduce noise as much as possible and edge preservation. Various algorithm has been developed in past but still it has scope for enhancement. This paper gives a insight view of …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 3, Issue 2, 2017 · pp. 1–7 Read article
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Combine Effect of Dry and Decomposed Raffia Palm in the Bioremediation of Oil-based Drill Cutting
Abstract: This study determines the effect of dry substrate and decomposed raffia palm for degradation of oil- based drill cuttings bioremediation. The remediation process was effectuated using dry and decomposed raffia palm. The experiment was carried out at the research Centre located at Agricultural and Environmental Engineering departmental workshop in Rivers State University, Port Harcourt. Samples of oil-based drill cuttings were bulked in eleven reactors with four replications (T1, T2, T3-T11). …
Published in International Journal of Composite Materials and Matrices · Vol. 9, Issue 1, 2023 · pp. 21–29 Read article
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An Integrated Machine Learning and IoT-Based Framework for Predictive Urban Water Demand Management and Distribution Optimization
Abstract: Abstract Urban water resource management has become increasingly complex due to rapid urbanization, population growth, climate variability, and aging infrastructure. Conventional water management approaches are often reactive, inefficient, and incapable of handling real-time fluctuations in demand and supply. This study proposes an integrated framework that combines machine learning (ML) techniques with Internet of Things (IoT)-based real-time monitoring to enhance water demand prediction and optimize distribution systems in urban environments. The …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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A Performance Evaluation of Transformer, LSTM, and ARIMA Models for LoadForecastinginIndia'sRenewable-RichSmart Grid
Abstract: India is trying to use renewable energy such as solar and wind to produce extreme and unpredictable fluctuations within India's National Smart Grid. These extreme fluctuations create difficulties for traditional load forecasting methods, including Autoregressive Integrated Moving Average (ARIMA) models, to provide stable and efficient operation through the creation of accurate short-term load forecasts. To accomplish this, the research aims to develop high-quality predictive models by comparing three modelling methods: …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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ISONIAZID STABILIZED TUNGSTEN TRICARBONYL COMPLEX: A NEW CO-RELEASING MOLECULE WITH ANTIBACTERIAL ACTIVITY
Abstract: Transition metal carbonyl complexes substituted with biologically active ligand can act as CO-releasing molecules which have beneficial roles including antimicrobial activity. Careful choices of ancillary ligand such as isoniazid help in eliminating issues of toxicity that may arise from drug substrates. Substitution reaction of tungsten hexacarbonyl with isoniazid in the presence of trimethylamine N-oxide under nitrogen atmosphere was carried out at ambient temperature for 72 hrs. The product was characterized …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 5, Issue 1, 2019 · pp. 36–43 Read article
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Neural network based prediction of shear wave velocity for soils
Abstract: The paper presents a study on the prediction of the shear wave velocity (Vs) for all soils using ANN model from cone penetration test data. The input parameters in the obtained of ANN models were vertical effective stress, sleeve friction, cone tip resistance and output was the shear wave velocity. These parameters were considered to construct the ANN model which has 3-2-1 topology in prediction of shear wave velocity. Further, …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 5, Issue 2, 2019 · pp. 23–34 Read article
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Application of Hybrid Wavelet Packet-ANN in Drought Forecasting
Abstract: Drought is the most catastrophic natural disaster that has disastrous effect on human beings, environment and ecology. It is the most frequent of all the natural hazards. In this study, an attempt has been made to forecast the drought using Artificial Neural Network (ANN) for a lead time of 1-month and 6-month. Further, the pre-processing of data has been carried out using Wavelet Packet transform (WPT) and then the pre-processed …
Published in International Journal of Water Resources Engineering · Vol. 3, Issue 2, 2017 · pp. 70–80 Read article
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Evaluation of ERA5 Global Model Performance in Regional Waters Based on Year-round Meteorological Observations: A Case Study in The Bay of Bengal
Abstract: Monitoring the meteorological parameters is crucial in understanding the day to day weather for planning various activities. Longterm monitoring is essential to estimate the climate change and associated impacts. One of the key adverse effects of climate change on mankind is the increasing number of cyclones of high intensity. Indian moored buoy network in the North Indian Ocean has been maintained by NIOT for the past 2.5 decades providing crucial …
Published in International Journal of Water Resources Engineering · Vol. 9, Issue 1, 2023 · pp. 40–52 Read article
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Integrated PM2.5 Estimation Using Satellite Images, Pollution Station Data, Meteorological Data and Artificial Neural Network (Case Study: Tehran City)
Abstract: ABSTRACTNowadays, the use of remote sensing to monitor airborne particulates by spatial continuity is made possible by the MODIS Sensor Aerosol Optical Depth (AOD) products. In this study, a simplified aerosol estimation model (SARA) was used to estimate the aerosol optical depth. For this purpose, the MODIS sensor data as inputs to predict PM2.5 near the surface, aerosol optical depth data and meteorological data (wind speed and direction, air temperature, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 38–50 Read article
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Amplitude Characteristics of Strong Ground Motion Accelerograms - A Review
Abstract: This literature review discusses the characteristics of the strong ground motion accelerograms. The characteristics of accelerograms are essential to understand the basic loading pattern of the earthquake forces on the structure. Data from the KiK-net digital borehole accelerograph arrays in Japan are used to investigate the duration, total power, rms amplitude, and peak ground acceleration (PGA) of three significant earthquakes. We look into relationships among duration, PGA on the surface, …
Published in International Journal of Digital Communication and Analog Signals · Vol. 8, Issue 1, 2022 · pp. 10–15 Read article
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Use of Machine Learning Algorithms in Power System Load Forecasting: A review
Abstract: The electrical load forecasting has become one of the most important fields of research for secured, efficient, accurate, reliable power dispatch and management. The main aim of load demand forecasting is to predict the load demand for accurate generation scheduling, system security and economic dispatch of load at any time. Many Authors have done research on the evaluation of load forecasting methods, to improve the accuracy of prediction. In load …
Published in International Journal of Microwave Engineering and Technology · Vol. 7, Issue 1, 2021 · pp. 23–30 Read article
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Simultaneous AC and DC Outputs Using Hybrid Converter Modeling
Abstract: The paper proposes a hybrid converter which supplies simultaneous DC and AC loads from a single DC input. The resulting hybrid converters require less number of switches increasing the reliability. Such multi-output converters with better power handling capability and reliability can be well suited for systems with simultaneous DC and AC loads. . The proposed converter, studied in this paper, is called Boost-Derived Hybrid Converter (BDHC) as it is obtained …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 1, Issue 2, 2015 · pp. 1–6 Read article
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Controlled Texture of Magnetron Sputtered Transparent Conducting ZnO: Al Films for Solar Cell Applications
Abstract: Textured transparent and conducting ZnO:Al films were prepared by rf-magnetron sputtering on glass substrate at a temperature 3500C under Ar and Ar+O2 gas ambient. ZnO:Al thin films shows a minimum electrical resistivity of (~8.210-4 Ω-cm), and high optical transmittance (T~86–90% average) in visible region. With increasing of oxygen concentration ZnO:Al films become more compact, stoichiometric and becomes more electrically resistive. ZnO:Al shows hexagonal wurtzite polycrystalline structure with strong (002) orientations. …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 1, Issue 2, 2015 · pp. 12–19 Read article