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206 articles for “ANN”
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Corrosion Protection of Copper Metal by Nanocoating in Nitrogen dioxide Environment
Abstract: Nitrogen dioxide is an acidic gas. It absorbs moisture to produce nitric acid. It creates corrosive medium for copper metal. It forms corrosion cell on the surface of copper and accelerate corrosion reactions. The corrosion cell formation is written as: Cu|Cu2+||H+|H2 thus corrosion reactions start and copper is oxidized into Cu2+surface and it is oxidized into Cu2+ whereas H+ ion is reduced into H2. Nitric acid environment copper exhibits galvanic, …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 8, Issue 1, 2022 · pp. 1–11 Read article
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Prediction of Compressive Strength of Concrete with Decision Trees
Abstract: In the past few researchers predicted the compressive strength of concrete from its ingredients employing data driven technique like artificial neural network (ANN) and Decision Tree (DT). For Indian concrete records, only one study was available which had employed ANN for prediction. Evaluation of different performance metrics indicated that there was scope of improvement in the prediction performance. In this paper experimental data from the literature was utilized for development …
Published in International Journal of Concrete Technology · Vol. 2, Issue 1, 2016 · pp. 19–29 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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Fuzzy Logic, Artificial Neural Network and Genetic Algorithm over Sylvester Law of Inertia based Data Analysis Technique
Abstract: ABSTRACT Compactness of the Fuzzy Logic (FL), Artificial Neural Network (ANN) and Genetic Algorithm (GA) is applied to analyze the data. This paper presents a foundation for the same in compact form over the Sylvester’s Law of Inertia (SLI). The sequence of FL, ANN and GA is studied for deciding the source of output data. The data interacts with the academic institutes. The academic planning is based on the existed …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 1, 2019 · pp. 22–29 Read article
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Study the properties of spin-coated Co-doped ZnO (CZO) thin Film
Abstract: Co doped ZnO (COZ) nanoparticles were prepared by spray pyrolysis technique followed by annealing at three different temperatures. XRD, UV- Vis spectroscopy, Photoluminescence (PL) studies, Scanning electron microscopy (SE), and vibrating sample magnetometry (VSM) studies were made to analyze the structural, optical and magnetic properties. XRD pattern confirmed the improved crystallinity after annealing and the formation of hematite phase. A UV-visible spectrum indicates that the nanoparticles exhibit the blue shifting …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 3, Issue 2, 2017 · pp. 26–35 Read article
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Waterjet Peening Process: A Review
Abstract: Water jet machining is few of the most adaptive and unconventional type of machining with huge advantage over the conventional type machining. Depth of cut measurement is a vital component in evolution of completely automated Abrasive Waterjet (AWJ) machining system. While cutting Ti-6Al-4V under waterjet, it is important to measure the depth of cut of material at the instant of cutting. This is a major drawback of Water Jet Machining …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 6, Issue 1, 2020 · pp. 12–14 Read article
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Abundance and Diversity of Meiofauna as Bioindicator of Water Quality and Health Status of Tombia Segment, New Calabar River, Niger Delta, Nigeria
Abstract: The abundance and diversity of meiofauna as bioindicator of water quality and health status of Tombia segment of the New Calabar River, Niger Delta, Nigeria was studied. Sediment samples from the respective stations were collected monthly in replicates between July and September,2023 using a handheld perplex corer at a depth of 10cm and analysed in the Laboratory following standard method of APHA. The data obtained were subjected to descriptive and …
Published in International Journal of Environmental Chemistry · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
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Towards Net Zero: Retrofitting Commercial Halls for IGBC Compliance
Abstract: This paper outlines an integrated energy-efficient retrofitting framework for Shyamvadi, a 10,000 sq. ft. commercial party hall in Junagadh, Gujarat, targeting IGBC Existing Building certification. The retrofit scope included the deployment of a 34.8 kW rooftop solar PV system, LED lighting upgrades, BEE 5-star-rated inverter HVAC units, envelope insulation using reflective coatings and PUF panels, and IoT-based energy monitoring. Baseline and post-retrofit performance data were analysed to quantify energy savings, …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 Read article
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Energy assessment of residential building using passive strategies
Abstract: Energy efficiency in building requires specific type of building materials in the design and construction, improving building insulation and sealing performance and enhancing efficiency of heating systems to reduce energy consumption. The main aim of the project is to reduce the energy consumption, carbon emission, life cycle cost, annual operation cost of the building and residential envelope transmittance value. In this project, Autodesk AutoCAD, Autodesk Revit, IES VE & ECO-NIWAS …
Published in International Journal of Housing and Human Settlement Planning · Vol. 7, Issue 1, 2021 · pp. 7–16 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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DC Voltage Regulation of UPFC Using Artificial Neural Network Controller
Abstract: A feed forward Artificial Neural Network (ANN) with back propagation control is proposed to remove the peak over shoot of the DC capacitor voltage used in Unified Power Flow Controller (UPFC). Proposed ANN controller is tested for the UPFC with wind energy conversion system connected to grid using MATLAB/SIMULINK and the results are compared with the PI controller. From the results, it is clear that ANN controller helps to regulate …
Published in International Journal of Digital Communication and Analog Signals · Vol. 2, Issue 1, 2016 · pp. 13–20 Read article
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Topological Analysis of Artificial Neural Network
Abstract: ABSTRACT This paper analyzes the Artificial Neural Network (ANN) over the metric. The dimension, curvature and mappings are the three characteristics of analysis. The impact of ANN in finite and infinite space is also considered. The Euclidean metric is the limit of generalization. The structure of neuron and its mapping are presented over the finite dimension. The discrete and continuous structure of neurons is studied mathematically and its formulation is …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 1, 2019 · pp. 17–21 Read article
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Study the Corrosive Effect of Greenhouse Gases on Metallic and Non-metallic Materials
Abstract: Carbon dioxide is a major corrosive pollutant for building materials. It enters inside materials by diffusion or osmosis process and in presence of moisture it produces H2CO3 which decrease the pH value and accelerates chemical and electrochemical reaction with building materials. The carbonation reaction produces deterioration inside and outside of building materials. It produces corrosion reaction with metallic bar and disbanding with concrete. CO2 reacts with Ca (OH)2 and Mg(OH)2 …
Published in International Journal of Metallurgy and Alloys · Vol. 7, Issue 2, 2021 · pp. 17–28 Read article
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Experimental Investigation To Study the Effect of Heat Treatment on Mechanical Properties and Microstructure of Duplex Stainless Steel
Abstract: The broad aim of this paper is to study the enhancement in mechanical properties of duplex steel by thermomechanical processing. Solution annealing followed by water quenching, hot rolling to 10% and 30%, cryo-rolling to 80% and 90% and ageing at 600°C and 1000°C for 5 hrs were the treatments given. The cryo-rolled samples were used for impact testing and rest for tensile testing. Microstructural analysis was done after the various …
Published in International Journal of Mechanics and Design · Vol. 2, Issue 2, 2016 · pp. 32–42 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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Comparison of Back propagation control algorithm with P-Qtheory for power quality improvement using DSTATCOM under steady state condition
Abstract: Providing consumers with high-quality power is the distribution operator's primary goal. Distribution Static Compensator (DSTATCOM), Dynamic Voltage Restorer (DVR), and Unified Power Quality Conditioner (UPQC) are examples of power converter-based custom power devices (CPDs) that are well-known for enhancing the distribution system's power quality. In order to lessen source-side supply power harmonics, DSTACOM is taken into consideration in this work. Any bespoke power device's performance is heavily dependent on the …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 25–34 Read article
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Investigation of FSO Communication System Using Various Neural Networks
Abstract: A prospective method for high-speed data transfer via light propagation in free space, such as between buildings, satellites, or metropolitan areas, is Free Space Optics (FSO) communication. FSO systems have great promises, but their performance can be severely hampered by atmospheric disturbances. Problems like fog, rain, and turbulence cause the optical signal to be absorbed and scattered, increasing BER. To address these challenges, various Neural Network (NN) techniques such as …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 12–20 Read article
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Hybrid Machine Learning Model for EfficientBotnet Attack Detection in IoT Environment
Abstract: The rapid advancement and widespread adoption of internet technologies have led to a surge in cyber-attacks, with botnet attacks emerging as particularly detrimental. Identifying botnet activities is increasingly challenging due to the diverse attack vectors and the evolving nature of malware. As the Internet of Things (IoT) continues to expand, network devices become more vulnerable to these sophisticated attacks, resulting in significant security breaches and financial losses. In order to …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 31–38 Read article
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THE IMPACT OF SHADING DEVICES ON THE VISUAL COMFORT AND ENERGY CONSUMPTION OF OFFICE ROOMS
Abstract: External shading devices on a building façade is a significant passive design strategy which can decrease direct solar radiation while controlling the direct daylight. While having an immense aesthetic impression, shading devices help to minimize the incident solar radiation and control daylight penetration, hence create a considerable effect on the building’s energy performance. As energy conservation and efficiency are fundamental areas of focus in contemporary building design, the effect of …
Published in International Journal of Sustainable Building Technology · Vol. 4, Issue 1, 2021 · pp. 39–50 Read article
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Urbanization as a Catalyst for Climate Change in Dehradun
Abstract: These days Climate change considered a major issue among scientists, researchers, planners, politicians. Concerning every climatic component, temperature considers its dynamic effect in identifying climatic variations originate around due to urbanization. Consequently, given paper tries to examine the temperature fluctuations of district Dehradun, by examining year wise time slot details minimum, maximum along with mean temperature from 1967 to 2007. Analysis details have been examined in tri fragments by operating …
Published in International Journal of Urban Design · Vol. 2, Issue 2, 2019 · pp. 52–61 Read article