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211 articles for “computational modeling”
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A Study on Stress Analysis of Aluminum Alloy Solidified in Metallic Molds
Abstract: Abstract The casting technique is regarded as the primary manufacturing process. It has several process parameters that affect the cast structure. Mold geometry is considered one of the most important metal parameters to cast. In the current work, the influence of mold geometries on mechanical properties (deformation and stress concentration) of liquid Aluminum alloy solidified in the steel mold is assessed using ANSYS simulation software. Molds were subject to a …
Published in International Journal of Manufacturing and Materials Processing · Vol. 10, Issue 2, 2024 · pp. 10–15 Read article
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A Detailed Lumped Model for Vinyl Acetate Emulsion Polymerization
Abstract: Abstract A mathematical model was developed to simulate emulsion polymerization of vinyl acetate monomer in isothermal, batch and semi-batch reactors. The recipe components included monomer (vinyl acetate), initiator (potassium persulfate), surfactant (sodium dodecyl sulfate) and water as the dispersion medium. The two important phenomena, particle nucleation and particle growth, were modeled in adequate detail. The mechanistic details included: particle formation via micellar nucleation; coupling of the radical concentration in the …
Published in International Journal of Polymer Science and Engineering · Vol. 5, Issue 1, 2019 · pp. 1–12 Read article
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Microstrip Patch Antenna Review for WLAN and WiMAX Application
Abstract: In this fast growing world, dual and multiple band antennas have been playing a very vital role for the wireless service needs in the field of wireless communication. WLAN and WiMAX are the techniques that are broadly used in mobile networks such as handheld computers and smart phones. The above techniques are considered extensively world wide as a cost-effective, flexible, reliable and high speed data connection that enables user mobility. …
Published in International Journal of Broadband Cellular Communication · Vol. 1, Issue 2, 2015 · pp. 8–12 Read article
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A Study on CNN-Based Image Mosaicing
Abstract: The intricate tapestry of image mosaicing, while a cornerstone of computer vision, has long been constrained by the rigidity of classical, geometry-driven pipelines. Hand-crafted feature detectors and homography estimators, while effective in controlled environments, prove brittle when confronted with the challenges of real-world scenes: significant parallax, dynamic moving objects, repetitive textures, and illumination variance. This work introduces a fundamental paradigm shift, proposing a deep convolutional neural network (CNN) architecture designed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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Melanoma’s Nemesis: Assessing the Pharmacological Impact of Curcumin and its Analogues as Inhibitors of Identified Biomarkers Via Network Pharmacology
Abstract: Objectives: Since the advent of next-generation sequencing, melanoma has been recognized as an immensely heterogeneous disease, leading to the discovery of numerous underlying genetic drivers over time. Bioinformatic and machine learning analyses have become increasingly prevalent in risk stratifying melanoma patients with high accuracy, leveraging genetic, clinical, and histopathological inputs. Via various research curcumin has been identified and also shown therapeutic efficacy in Melanoma. In order to reveal the interactions …
Published in International Journal of Applied Nanotechnology · Vol. 9, Issue 1, 2023 · pp. 33–44 Read article
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Adaptive Text_Summarization: A Meaningful Summarization of Reviews
Abstract: Adaptive text_summarization is a model which takes elaborated data set of reviews containing more than two attributes as input and further breaks down those large chunks of text into summarized - form by eliminating attributes which are of less important for final evaluation. We keep only those attributes which contribute for better adaptation of meaning of the dataset. We have executed the techniques of Recurrent Neural-Network and Seq2Seq models to …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 1–7 Read article
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Comparison of Results Between Conventional Techniques and GIS in Old City Surveys
Abstract: Urban planning involves a wide-ranging survey programming; whereby the data collected can be processed through a systematic methodology in order to summarize the data collected. This data shall further be used to analyze and frame a developmental strategy. As per nomenclature, GIS comprises of 3 words: Geography, Information and System. Spatial part is dealt by “Geography”, Data related part is dealt by “Information” and decision-making related part is dealt by …
Published in International Journal of Town Planning and Management · Vol. 4, Issue 2, 2018 · pp. 5–21 Read article
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Analysis and Simulation of Computational Fluent Dynamic on Thermo-Electro-Mechanical Devices
Abstract: It is a universal truth that no exponential growth will last forever. In the present scenario, energy is avital part of development in environment. As the law of conservation of energy “Energy can neither becreated nor can be destroyed, it can only be transformed from one form to another”. Unfortunately,any energy policy that produces improvements in the short term is often one that destroys theenvironment in the long run. Here …
Published in International Journal of Computer Aided Manufacturing · Vol. 7, Issue 1, 2021 Read article
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Bioremediation of Polluted Drainage with Petroleum Hydrocarbon
Abstract: This research was aimed at examining the petroleum product discharge in drainage within Port Harcourt City, samples were collected and mixed. Microbial analysis and physicochemical properties of the sample were determined. The sample was subjected into bioremediation after culturing of the microorganisms isolated, identified and characterized. The two microorganisms used are pseudomonas aeruginosa and aspergillus niger. The results obtained revealed high concentration for heavy crude oil than mixed crude oil; …
Published in International Journal of Environmental Chemistry · Vol. 7, Issue 2, 2021 · pp. 24–34 Read article
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Enhancing Image Quality with Deep Learning Techniques for Restoration and Denoising
Abstract: Abstract: Clear and high-quality images have become more and more necessary in recent years due to the rapid development of computer vision-based autonomous systems, including autonomous driving, underwater robots, video surveillance, and medical imaging. However, real-world circumstances, such as inclement weather, underwater scenes, and moving cameras, can lead to poorer-quality photographs. These degradations, which include color distortions, noise, and blurring, hurt how well visual systems accomplish tasks like target tracking, …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Deep Learning with CNNs: A Survey of Techniques and Real-World Applications
Abstract: Convolutional Neural Networks (CNNs) have emerged one of the most powerfully used tools in deep learning, particularly in image and pattern recognition tasks. CNNs are being revolutionized through deep learning resulting in a dominant architecture in computer vision as well as other various domains. This paper provides a comprehensive survey of CNN-based deep learning, its methodologies, regularizations, and computational efficiencies. We also address the challenges and future directions of CNN. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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Enhancement and Management of Evaporative Separation Methods
Abstract: Separating components according to their vapor pressures, evaporative separation techniques are widely employed in a variety of industries, such as chemical manufacture, petroleum refining, and food and beverage processing. Equipment like membrane-based systems, evaporators, and distillation columns are used in these procedures, which are essential for guaranteeing both process effectiveness and product quality. However, stability and safety in evaporative separation processes are difficult to maintain due to their complexity and …
Published in International Journal of Chemical Separation Technology · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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High Performance 64-Bit Vedic MAC with Logic BIST Features
Abstract: Multiply and Accumulate (MAC) is a very important operation in most of the DSP applications such as FIR/IIR filters, convolutions, and FFT computations. Therefore, every DSP processor will incorporate a hardware MAC for high-performance operations. However, most of the MAC architectures do not have self-testing features. It is very essential to embed self-testing features in the MAC design for accurate and reliable operation thus avoiding the need for expensive external …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 2, 2020 · pp. 38–46 Read article
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A Hybrid Approach to Secure Cloud Storage: Machine Learning and Blockchain Integration
Abstract: With the rapid adoption of cloud computing across industries, securing cloud storage has become a paramount concern for organizations that rely on cloud-based systems to manage sensitive data. Traditional security approaches often struggle with the complex and evolving nature of cyber threats, leading to vulnerabilities that malicious actors can exploit. In response to these challenges, this paper proposes a hybrid approach that integrates machine learning and blockchain technologies to create …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 35–47 Read article
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Strain-based Fatigue Test of Woven Glass-Epoxy Fabric Composites
Abstract: Strain based fatigue testing of Glass-Epoxy Composite Material in Tension-Tension loading is carried out by using positive load method to evaluate potential crack propagation, fiber fractures, de-laminations, etc. Through continuous stressing in the material, evaluation of life cycle capabilities of glass fiber composites are found which is essential for Research Development, Structural Design, Quality assurance, Modeling and finally Material Specifications. By using an epoxy resin with glass fiber prepared in …
Published in International Journal of Construction Engineering and Planning · Vol. 5, Issue 1, 2019 · pp. 39–55 Read article
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AWS Pros & Comparative Study between top CSPs (AWS, Azure, Google Cloud)
Abstract: Web has become tireless in day-by-day occupation furthermore Cloud process could be a rising model wherever registering assets offered over the net as adaptable, on-request (Web) administrations. net access must utilize large measures of money on framework must serve gettable purchasers that is not a difficulty for vast endeavor but with regards to little and Medium Enterprises or Enterprise's reasonableness turns into an incredible issue with the stupendous foundation come …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 2, 2021 · pp. 1–13 Read article
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Computational Analysis of Shockwave–Boundary Layer Interaction at Hypersonic Speeds
Abstract: Successful plan of present-day supersonic and hypersonic vehicles requires a comprehension of the physical stream field structure of shockwave–boundary-layer interactions (SWBLIs) and productive reproduction techniques for their portrayal. The significant focal point of this paper is two-dimensional (2D) hypersonic SBLI as well as stream portrayal and physical properties around SWBLIs; be that as it may, even in ostensibly 2D/axis-symmetric streams, the mean stream measurements might be 3D.The objective of the …
Published in International Journal of Computer Aided Manufacturing · Vol. 5, Issue 2, 2019 · pp. 1–25 Read article
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Hybrid Digital–Analog Signal Processing Framework forEnhanced Data Transmission in Next-Generation Wireless Communication Systems
Abstract: The rapid advancement of next-generation wireless technologies such as 5G and 6G has created an increasing demand for high data rates, low latency, and energy-efficient communication systems. Conventional digital signal processing techniques, while flexible and accurate, often suffer from high computational complexity and power consumption, whereas analog signal processing provides low-latency and energy-efficient solutions but lacks adaptability and robustness. This paper proposes a novel hybrid digital–analog signal processing framework that …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 50–59 Read article
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Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
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Design and Implementation of a Smart Surveillance and Automation System for Patients
Abstract: Patient negligence and harassment have become a common phenomenon now-a-days. To reduce this incident “Smart Surveillance and Automation system for patient” have been built. The system’s aim is to provide the patient security while maintain the patient’s privacy as well as provide an automated bed at a cheap price. This surveillance system starts recording once it detects a face and it also has a facial expression recognition system installed that …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 6, Issue 2, 2020 · pp. 9–17 Read article