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211 articles for “computational modeling”
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Serverless Computing: The Evolution of Cloud Infrastructure
Abstract: A form of cloud computing known as serverless computing has brought about a change in the way cloud development and deployment are carried out. An era that is now known as “post-container” has been brought about because of a new idea that has developed from cloud computing. Software developers can devote their attention to building code and business logic rather than managing infrastructure when they use serverless computing. Serverless computing …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 48–60 Read article
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Smart Wastewater Treatment Plant Modeling Using ANN And ASM1 MATLAB Simulation
Abstract: Wastewater Treatment Plants (WWTPs) are necessary infrastructure for protecting the environment and public health, but modeling and predicting performance has been an ongoing challenge for engineers working within a WWTP and regulators of the environment. For many years the Activated Sludge Model No. 1 (ASM1) has been the standard for simulating biological treatment processes, but the conventional implementations in MATLAB do not provide the user-friendly interface, the predictive intelligence, or …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 44–62 Read article
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MODELLING OF SAW PARAMETERS AND ITS MECHANICAL PROPERTIES FOR JOINING STRUCTURAL STEELS
Abstract: Ethiopia nearly 85 per cent of people is morality depends on agriculture; the government of Ethiopia emphasis on Farm Mechanization for bringing the improvement in crop production using modern equipment and tools. However, the Modern equipment development needs improved machineries for fabrication. Moreover, the metal joining technology; like Submerged Arc Welding (SAW) available is very advance and made welding of thicker plats and welded structures. Therefore, while using this modern …
Published in International Journal of Polymer Science and Engineering · Vol. 4, Issue 2, 2018 · pp. 34–43 Read article
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Predictive Analytics in E-Learning: Enhancing Student Performance Through Machine Learning Models
Abstract: With the explosion of electronic devices and internet technologies in today’s world, the amount of data we store has grown massively. Data is simply information that has been organized in a way that makes it easy to share or work with. A potent technology that enables computers to learn from data without direct programming is machine learning, which we employ in our research. The focus of this study is on …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Brain-Inspired Computing: The Rise of Neuromorphic AI
Abstract: Neuromorphic computing is an emerging computing paradigm that draws inspiration from the structure and operational principles of the human brain. By integrating ideas from neuroscience, computer design, and materials science, neuromorphic systems aim to deliver high-performance, low-power computation that is suitable for smart data processing. Unlike traditional von Neumann architectures, neuromorphic hardware uses massively parallel processing, event driven computation, and adaptive learning. This paper provides an overview of neuromorphic principles, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 2, 2026 Read article
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Improved Efficiency of PV Module Using Incremental Conductance MPPT and DC–DC Boost Converter
Abstract: Solar energy has been most popular renewable energy source because of its long-term outcomes. The study presents the simulation and the hardware implementation of Photovoltaic module utilizing incremental conductance MPPT with the help of DC–DC boost converter. The better trade-off between the PV module power and power achieved after using converter and MPPT technique has been shown and improved efficiency also has been achieved. The incremental conductance MPPT has been …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 4, Issue 2, 2018 · pp. 1–8 Read article
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Finite Element Analysis (FEA) for Nonlinear Behavior in Advanced Materials
Abstract: (FEA) in investigating the nonlinear behavior of advanced materials plays a pivotal role in optimizing the design and performance of modern structural systems. As innovative materials, such as nanocomposites, metamaterials, and shape-memory alloys gain prominence, conventional linear modeling methods become inadequate for accurately capturing the intricate and time-dependent responses exhibited by these materials under diverse loading conditions. This research delves into cutting-edge FEA techniques to simulate and analyze the nonlinear …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 1, 2025 · pp. 21–26 Read article
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A Comprehensive Review of AES-Integrated DWT Watermarking Techniques for Image and Video Authentication
Abstract: The exponential growth of digital media production, distribution, and online sharing has intensified the need for reliable mechanisms that ensure image and video authenticity. With the rise of advanced editing tools and deepfake technologies, safeguarding multimedia content from tampering, unauthorized replication, or malicious manipulation has become a critical research challenge. Traditional cryptographic solutions provide confidentiality but fail to maintain post-decryption integrity, whereas watermarking techniques ensure persistent ownership verification but often …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Advances in Applied Chemistry: From Electrochemical Biosensors and Gas Sensing to Sustainable Remediation and Nanofluid Engineering
Abstract: Applied chemistry acts as a crucial link between fundamental molecular science and practical technological innovation. It transforms theoretical knowledge into real-world applications that address challenges in healthcare, environment, and industry. This review highlights recent advancements in electrochemical biosensors, which offer rapid and sensitive diagnostic capabilities, along with modern gas detection technologies designed for improved safety and environmental monitoring. Significant attention is given to environmental remediation, particularly the use of activated …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 20–25 Read article
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Optimization of Compressive Strength of Segmental Interlocking Stones
Abstract: The failure of most segmental interlocking stones used as pavement materials is traceable to lack of knowledge of the mix ratios that would optimize the compressive strength of the end products. In this study, the compressive strength was optimized based on Scheffe’s simplex lattice approach. The reliability of model developed was investigated using F-statistic and was found to be adequate. A computer program written in basic language was used to …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 4, Issue 2, 2018 · pp. 1–7 Read article
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A Comprehensive Study On Optimization Of Neural Networks And Global Minimization
Abstract: The neural network toolbox is one of the commonly used, powerful, commercially available software tools for the constructing new networks and forms a inter linkage between each other. The software is user-friendly, permits flexibility and convenience in interfacing with other toolboxes in the same environment to develop a full application the wide range of applications and has a wide range of scope in making models with linear and non-linear functionalities …
Published in International Journal of Manufacturing and Materials Processing · Vol. 2, Issue 1, 2016 · pp. 11–18 Read article
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A Role of Machine Learning for Students' Academic Success Prediction
Abstract: This research paper aims to identify early predictions of students’ academic success with the help of different indicators. One of the crucial parts of the study is identifying additional indicators that play an essential role in defining students' academic success. Early prediction of success will be helpful for various stakeholders such as students, parents, educators/teachers, institutions, universities, and the government. Machine Learning is a part of Artificial Intelligence (AI) and …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 1, 2024 · pp. 1–6 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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Evaluation of Kinetic Parameters of Total PetroleumHydrocarbon Degradation Using Grape Leaf as Nutrientto Catalyze the Reaction
Abstract: The outcomes of the research are to determine and evaluate the kinetic parameters of total petroleum hydrocarbon degradation using grape leaf as nutrient to catalyze the reaction. The application of the Michaelis–Menten model equation in combination with the Lineweaver–Burk Plot theoretical conceptual techniques was adopted in handling the computation of the functional parameters and coefficients of the system. The impact of bio-remediant dosage was monitored, and the kinetic parameters were …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 1–9 Read article
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Modelling and Analysis of Five Phase AC Motor in D-Q Axis
Abstract: Abstract: In this paper, a quinary phase induction machine is dynamically modelled in D-Q axis. The quinary phase voltages are being converted into two component voltages, one along the direct axis and the other along the quadrature axis. The Speed and torque of quinary phase induction is then derived. The speed of the quinary phase induction motor is estimated using sensor-less method thereby reducing rate and increasing the reliability of …
Published in International Journal of Distributed Computing and Technology · Vol. 5, Issue 2, 2019 · pp. 20–42 Read article
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Design and fabrication of Garbage Cleaner Vehicle
Abstract: The development and construction of a partially automatic electronic rubbish collecting bot vehicles is the subject of the aforementioned study proposal.. The job was completed in light with the existing state of our storage areas, they are filthy with garbage, pollution, and dangerous chemicals. This machine's design to clean the surface of the waste was based on that. To supply the products more quickly, nearly every step of manufacturing is …
Published in International Journal of Mechanics and Design · Vol. 9, Issue 1, 2023 · pp. 35–41 Read article
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Effectiveness of Computer Assisted Teaching Programme on Knowledge and Observed Practices of Body Mechanics among Children
Abstract: The present study investigated the effect of computer assisted teaching programme on the knowledge and observed practices of body mechanics among school children in Mary Matha Public School, Ernakulam. The objectives of the study were to assess the pre-test knowledge score regarding body mechanics before the teaching program, to assess the observed practice on body mechanics before the teaching programme, to evaluate the effectiveness of computer assisted teaching programme on …
Published in International Journal of Pediatric Nursing · Vol. 5, Issue 1, 2019 · pp. 1–8 Read article
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A Study on Supervised Machine Learning-based Airports/Flight Delay Analysis and Classification
Abstract: Airline delays are a major cause of the financial losses that plague the global aviation business. Airports, airlines, and passengers all suffer when flights are delayed. Their forecast is vital to the commercial aviation industry's decision-making process. Flight presents a significant obstacle for the aviation sector. Increased air traffic and subsequent flight delays are a direct result of the aviation industry's rapid growth over the past two decades. The economic …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 20–36 Read article
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Microcontroller Based Automatic Power Off & Bill Metering System
Abstract: In this paper, we implemented a system by which we can measure the consumption of electricity and also the system can OFF the device, when it’s not working for longer time. This implemented model is based on embedded system. An embedded system is anything that runs software, which is not a computer. It is a special purpose computer to perform one or few dedicate function. In this system, two operations …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 1, Issue 2, 2016 · pp. 16–24 Read article
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Effect of Pressure on Insulation Failure and Pipe Leakage in Natural Gas Transmission Pipeline Using Simulation Software
Abstract: Effect on insulation failure and pipeline leakage in natural gas transmission line using simulation software known as EXTENDSIM9 SUIT was applied to monitor, predict and simulate the variation in pressure in a pipeline system. The computational fluid dynamics parameters for the flow of compressible gas in a pipeline includes density and pressure which changes along the transmission line due to frictional resistance, and may lead to fogging/ hydrate formation or …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 5, Issue 1, 2019 · pp. 24–37 Read article