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49 articles for “Accuracy Parameter”
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The Implementation of Machine Learning in the Search to Fight Plant Disease
Abstract: The agriculture business loses money and time due to plant diseases. Diagnosing disease accurately takes skill and devotion. Infected plants may have spots or streaks of a different color on their leaves. Several fungal, bacterial, and viral species can also infect plants. Individual plant disease signs and indications are assessed. Neural network applications are growing. Recent research studies have determined how well machine learning reviews traditional plant disease diagnosis methods. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 25–34 Read article
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Simultaneous Analysis of Radar Look Angel and Placement of Features to Identification of Terrain Feature (Mianrahan Basin in West of Iran
Abstract: In this study, the effect of look angle and placement of feature than radar sensor to detection of the effects of geomorphological features was conducted simultaneously. In this study, the C-band of satellite images Sentinel -1 was used. The images were captured in two different look angles and two different look directions. Four features such as valley, blade, alluvial fans and debris was extracted by visual interpretation of the images, …
Published in International Journal of Landscape Planning and Architecture · Vol. 3, Issue 1, 2017 · pp. 1–10 Read article
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Performance Evaluation of Geopolymer Masonry Units Using Fly Ash and GGBFS: Dimensionality, Density, Water Absorption, and Compressive Strength Analysis
Abstract: AbstractThis study investigates the production, properties, and performance of geopolymer masonry units,utilizing Class F fly ash and Ground Granulated Blast Furnace Slag (GGBFS) as primary binders.These binders were activated using an 8M alkaline solution, with the materials mixed alongsidemanufactured sand (M-sand) as the fine aggregate. The binder-to-aggregate ratio was maintained at1:1, while the alkaline solution-to-binder ratio was kept at 0.2. Various geopolymer masonry units,including geopolymer bricks (GPB), solid blocks (GPSB), …
Published in International Journal of Construction Engineering and Planning · Vol. 10, Issue 2, 2024 · pp. 26–32 Read article
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Artificial Neural Network Model to Predict Reservoir Storage
Abstract: The rapid growth in population increases water demand thus resulting in scarcity of water which is due to improper management rather than lack of resources. Reservoir is the most important source for surface water. So, reservoir storage plays a crucial role in efficient reservoir management. Artificial neural network (ANN) is capable of simulating reservoir storage capacity. So, in present work cascade forward back propagation and feed forward back propagation network …
Published in International Journal of Water Resources Engineering · Vol. 4, Issue 1, 2018 · pp. 1–8 Read article
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Study of Liquid Rubber Printing on a 3D Printer by Using a Peristaltic Pump
Abstract: The additive manufacturing (AM) process known as direct-ink writing (DIW), also known as direct-print (DP) or direct-write (DW), has great practicality in a variety of material types. In this process, it is essential for the ink formulation utilized for the DIW process to be a paste-type ink with a time-dependent shear-thinning property. Rubber has been utilized in a variety of applications however, the high pressure and temperature needed to treat …
Published in International Journal of Manufacturing and Materials Processing · Vol. 8, Issue 2, 2022 · pp. 34–44 Read article
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A method to determine kinetic triplet by coupled with model-free method and model-fitting method
Abstract: The present study is aimed to obtain integral linear method using rational expressions given by Senum and Yang, and a method of selecting the reaction model more quickly and easily and compute the activation energy and pre- exponential factor more accurately was proposed. An improved linear integral procedure coupled with one model-free method and one model-fitting method for the determination of kinetic triplet using non-isothermal data recorded at several heating …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 11, Issue 1, 2025 · pp. 1–13 Read article
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Electrical Characteristics of a Solar Cell/PV Module
Abstract: Conventionally, a PV system consists of solar PV arrays and electric converters. A PV array is formed by series/parallel combination of solar modules. Some operating conditions result in non-uniform irradiance of PV array, such as shadows, clouds, dirt, debris, bird droppings, different orientations and tilts, and so on. If several solar cells in a series PV module are mismatched due to non-uniform irradiance, these cells will limit the output current …
Published in International Journal of Analog Integrated Circuits · Vol. 3, Issue 2, 2017 · pp. 25–35 Read article
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Effect of Abrasive Water Jet Machining Parameters—An Experimental Investigation
Abstract: Machining studies on the fiber reinforced polymer composites is vital requirement for the composites application in different fields. Particularly advanced machining techniques like abrasive water jet machining can be machined with higher accuracy and distortion free composites. In this work aims to study the abrasive machining parameters on the basalt fiber polymer composites. The woven basalt fiber reinforced polymer composites were prepared using hand layup techniques. The machining effect of …
Published in International Journal of Composite and Constituent Materials · Vol. 6, Issue 2, 2020 · pp. 21–23 Read article
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Convolutional Neural Network Algorithm for Stress Field Approximation for a Uniaxially Loaded Plate with Holes
Abstract: ABSTRACTKnowing the high stress concentration and its location around a hole is of practical importance in designing engineering structures, effective parameters can be selected in order to achieve minimum stress concentration around the hole(s). The visualisation of the stress distribution is done experimentally or numerically using finite element analysis (FEA). This study involved the approximation of the von Mises stress field distribution around regular holes in finite metallic plates, based …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 1–12 Read article
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Using LapSRN (Image Resolution Deep Learning Model) with Transfer Learning
Abstract: In order to create high-resolution photographs, Super Resolution (SR) tries to transform low-resolution photos. SR methods can be categorized into two categories: Single Image Super Resolution (SISR) and Video Super Resolution (VSR). SISR initially needs to upscale low-resolution photos to high-definition images. VSR, which stands for "image super resolution," is used to transform low-quality videos into ones with higher resolution. Deep learning techniques use Convolutional Neural Networks (CNN), a special …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 18–24 Read article
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Application of Hengstebeck's Model in Multicomponent Crude Oil Distillation Design
Abstract: Mathematical models were developed for the analysis of the Atmospheric Crude Distillation Unit of Port Harcourt Refinery in Nigeria. The resultant system of equations was solved using the method of matrix inversion using Mathlab software and the models predicted with reasonable accuracy composition of side draws (different fractions) and temperatures. Also, the effect of process parameters on the overall performance of the unit was studied. In addition, the study applied …
Published in International Journal of Chemical Separation Technology · Vol. 8, Issue 1, 2022 · pp. 13–19 Read article
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Finite Element Modeling of RC Beam Column Sub-assemblages Subjected to Column Loss Scenario
Abstract: Progressive collapse is a situation where a failure of whole or large part of a structure occurs that has been initiated by failure of a relatively small part of the structure such as failure of any primary structural element. When a vertical load carrying element, typically a column is lost, the loads that are supposed to pass through lost column need to be safely transferred to the adjacent elements to …
Published in International Journal of Structural Engineering and Analysis · Vol. 6, Issue 2, 2020 · pp. 1–20 Read article
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Diabetic Retinopathy Detection from Retinal Images Using Convolutional Neural Network
Abstract: Diabetic retinopathy (DR) is a popular problem of diabetes and the major reasons of loss of sight in the active inhabitants. Many of the problems of DR can be avoided by blood glucose manage and regular remedy. Since the kinds and the difficulties of DR, it is actually hard for DR detection in the time-consuming regular analysis. This document is to effort towards discovering an automated method to sort out …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 8–17 Read article
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A Literature Review on Comparative Analysis of Non-Contact AI Vision-Controlled Diameter Measurement vs. Conventional Methods in Flux Core Wire Drawing Measurement
Abstract: AbstractEnsuring precise diameter control in flux core wire drawing is crucial for maintaining welding wirequality and performance. Conventional measurement methods, which often rely on manual inspectionor mechanical techniques, face limitations in accuracy, consistency, and responsiveness. This studyexplores the application of AI vision-controlled systems to address these challenges by enabling realtime,high-precision, non-contact diameter measurement. Through an extensive review of researchpapers and patents, this paper examines the advancements in AI-based monitoring techniques …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 8–16 Read article
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To Assess the Accuracy, Sensitivity and Specificity of Fetal Heart Rate (FHR) and Uterine Activity (UA) from Abdominal ECG and EMG Electrodes in Comparison with Conventional Cardiotocography (CTG) Machine
Abstract: Background: FHR and UC are two vital parameters that need to be monitored during the intrapartum period which can help reduce death from preventable causes during the intrapartum period. CTG is the currently used tool for intrapartum monitoring, but being expensive, bulky, and dependent on skilled healthcare workers for interpretation of results makes it unsuitable for use in healthcare settings. KEYAR is an affordable, portable, wearable, and easy to use …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 9, Issue 1, 2023 · pp. 13–23 Read article
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Application of Three-dimensional Differential Transform Method to Dynamic Vibration Analysis of Rectangular Plate Resting on Elastic Foundation
Abstract: Research on vibration analysis of non-homogenous and varying thickness plate has gained a tremendous increment in recent year due to its vast application in many fields of engineering. This study investigate the dynamic behavior of rectangular plate with varying thickness resting on two-parameter foundation under simply supported free edge condition. The governing differential equation is analyzed using three-dimensional differential transform method. The accuracies of the established solutions are verified by …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 5, Issue 2, 2019 · pp. 20–35 Read article
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An Evaluative Analysis of the Utilization of Artificial Neural Networks in Forecasting Soil Engineering Characteristics: An Overview Study
Abstract: The primary objective of utilizing synthetic neural networks was to emulate the problem-solving approach akin to the human brain. This approach of employing artificial neural networks gained extensive traction within the realm of geotechnical engineering, where the engineering properties of soil play a pivotal role in ensuring the stability of various engineering structures. The primary concern revolves around the strength and deformation characteristics exhibited by soil masses. The focus lies …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 9, Issue 1, 2023 · pp. 55–63 Read article
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A Review on Surface Error Compensation in Thin-Walled Component Machining
Abstract: *Author for CorrespondenceManikandan HareendranE-mail: [email protected] 1,4,5,6Associate Professor, Department of Mechanical Engineering, Mangalam College of Engineering (APJAKTU), Kottayam, Kerala, India2,3Assistant Professor, Department of Mechanical Engineering, Mangalam College of Engineering (APJAKTU), Kottayam, Kerala, India7Professor, Department of Mechanical Engineering, Mangalam College of Engineering (APJAKTU), Kottayam, Kerala, India Received Date: November 12, 2024Accepted Date: November 14, 2024Published Date: November 22, 2024 Citation: Rajeeve K. Mohana, Santhu Varghese Thomas, Rahul Krishnan, Johan George Cherian, Navish …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article
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Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A Hybrid Metaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 35–46 Read article
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Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A HybridMetaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 Read article