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1961 articles for “computation” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Computational Intelligence and Neuro-Fuzzy Modelling of Polymer Composites: A Critical Review of Performance Prediction and Optimization
Abstract: The increased variety in polymer matrices, reinforcements, fillers, and processing parameters has led to the need to better understand the structure-property, process-property relationships in order to accurately predict and optimize the performance of polymer composites. This paper reviews the applications of computational intelligence methods in polymer composites, with special focus on artificial neural networks, adaptive neuro-fuzzy inference systems, machine learning techniques, and hybrid optimization. The literature is analyzed based on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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A Survey on Big Data Storage Issues in Cloud Computing Environment
Abstract: AbstractBig data is the collection of large set of data which holds many intelligence and raw information. In the digital world, handling and updating large volume of data in the real-time environment is a challenging task. This paper presents a compressive discussion on analytical techniques and processing methods for analysing the applications of big data with the purpose of constructing valuable information in cloud computing environment. This research aims to …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 3, 2017 · pp. 1–5 Read article
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A Computer Based Economic Study on Manufacturing and Marketing of Coir in Tirunelveli District
Abstract: Using the internet to collect data is convenient and can greatly extend sample representativeness; however, the use of internet is not without some risk. During the doctoral research of one of the authors, data were being collected using a mobile computer laboratory with an array of laptop computers, so as to avoid the time-consuming data entry process. Coir industry in India is an agro-based, village and cottage industry. Despite of …
Published in E-Commerce for Future & Trends · Vol. 5, Issue 2, 2018 · pp. 1–5 Read article
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A Study of Cloud Computing With Special Reference to Cloud Based Accounting
Abstract: AbstractThe century we are living in is the age of technology and innovations. Without getting compatible with such techniques, a business finds itself hard to survive, so to remain competitive in the industry and reap unique benefits, one must not hesitate to use modern technology in processing of its business operations. As a business understands the language of accounting, making it mandatory for every company to have a comprehensive understanding …
Published in E-Commerce for Future & Trends · Vol. 5, Issue 3, 2018 · pp. 15–24 Read article
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Scheduling Algorithms in Cloud Computing: A Review
Abstract: Abstract: Cloud computing is one of the emanate computer technologies in information technology that provide shared resources like databases, storage, servers, and software to the users according to need on rental basis, which results in no initial setup cost. Scheduling is one of the critical aspects that influence the system performance. Scheduling algorithm is said to be efficient if it minimizes the completion time of the task, with limited resource …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 3, 2019 · pp. 16–20 Read article
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Artificial Intelligence Powered Computer
Abstract: Gesture control along with Artificial Intelligence has been very interesting topic in image processing for a long time. This is because it is very difficult for a computer to differentiate between background and foreground data in a given image. These technologies enable a person who has zero interaction with computer to use the various computer technologies like controlling cursor and certain functions of various computer applications. In this project we …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 1, 2021 · pp. 1–10 Read article
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Virtual Human Computer Interaction System v1
Abstract: AbstractAccording to various research people are having numerous health problems just because they sit in front of machine for long time. Human Computer interaction is completely dependent on peripheral devices (Mouse, keyboard). Dependency on peripheral devices had made people suffer from back pain, headache, obesity and other physical fatigues. Our approach is to reduce dependency on peripheral devices by creating virtual human computer interaction system. A virtual mouse controlling system …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 1, 2017 · pp. 20–22 Read article
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A Survey of Edge Detection and Object Segmentation from Contour based Soft Computing Approaches
Abstract: Soft computing approaches such as consisting of fuzzy logic, neural or evolutionary computation are the emerging field with the wide applications in edge detection and image segmentation. Such a process of partitioning the pixels regions of the digital images with boundary between two homogenous regions refers to the detection of edges. There was various approaches that have been implemented to achieve the same but their performance and its scope of …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 1, 2015 · pp. 16–20 Read article
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Review on Introduction about Parallel Computing
Abstract: AbstractProductively and progressively, parallel handling is being viewed as the main financially savvy strategy for the quick arrangement of computationally vast and information escalated issues. The development of economical parallel PCs, for example, ware desktop multiprocessors and groups of workstations or PCs have made such parallel techniques by and large appropriate, as they have programming gauges for versatile parallel programming. This sets the phase for considerable development in parallel programming. …
Published in Recent Trends in Parallel Computing · Vol. 3, Issue 3, 2016 · pp. 1–4 Read article
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Scientific Computing with the KotlinSci Open-source Framework
Abstract: KotlinSci is a framework for scientific computing for the Java Virtual Machine (JVM). The paper illustrates that KotlinSci can significantly facilitate and simplify the development of complex computational demanded scientific software at the JVM. The work compares Java based approaches with Kotlin ones, and illustrates the significant advantages of the enhanced flexibility of the Kotlin language. We illustrate that one of the more significant drawbacks of Java is its lack …
Published in Journal of Open Source Developments · Vol. 9, Issue 2, 2022 · pp. 1–7 Read article
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Web Data Mining in Cloud Computing: A Review
Abstract: In this paper I’m going to explain the web-data-mining utilizing Cloud Computing Technologies. Web-data-mining remembers how we can coerce the needful info for requests through the web then grow information utilizing information mining procedure. For example: Web utilization mining, web content mining, option to get from the website server. Cloud computing uses the technologies with data mining in web. Web mining strategies (explicitly web use mining procedure) and applications are …
Published in Journal of Web Engineering & Technology · Vol. 8, Issue 3, 2021 · pp. 6–10 Read article
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A Study on Cloud Computing Security Issues and Challenges
Abstract: Cloud computing is a network of servers that are connected via the internet. Its primary function is to share data, resources, and software. The internet serves as an invisible link that connects everything. This includes all physical and virtual servers around the world. Cloud computing is the most common topic of research these days because of its cost efficiency. It is the most arousing and attractive technology in the present …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 1, 2022 · pp. 1–6 Read article
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Catalyzing Scientific Exploration: Essential Algorithms in Python for Computational Excellence
Abstract: This research work delves into the foundational algorithms that underlie scientific computing, leveraging the Python programming language. It navigates through essential numerical techniques, optimization approaches, and linear algebra operations, highlighting their critical importance in diverse scientific fields. By offering illustrative examples and concise Python code snippets; the study emphasizes Python's role as a versatile and accessible platform for researchers and practitioners engaged in scientific computation. Python's widespread use in scientific …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 1, 2023 · pp. 33–42 Read article
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Numerical Grid Generation and Parallel Computations
Abstract: Numerical grid with features of orthogonality is described herein. Physical geometry is mapped with computational geometry. Such issues of current relevance are explained. Solution to tridiagonal matrix is often required in CFD techniques. Therefore, tridiagonal system are of special interest in parallelism. The degree of parallelism constantly decreases as the reduction proceeds. Efficient solution for parallel computation of tridiagonal matrix is highlighted. Keywords: Numerical grid, tridiagonal, matrix, orthogonality, parallel computationCite …
Published in Journal of Aerospace Engineering & Technology · Vol. 5, Issue 1, 2015 · pp. 11–22 Read article
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High Lift to Drag Ratio for 3D Printed Airfoil for UAV’s: An Experimental and Computational Study
Abstract: Airfoils play a pivotal role in the performance of aerodynamically designed bodies. Lift to Drag ratio is one of the primary parameters based on which the efficiency of airfoil’s are characterized. UAV’s are gaining acceptance around the world for the wide range of operations that can be remotely controlled. The primary objective of current work is to narrow in on an airfoil which is capable of producing high lift to …
Published in Journal of Aerospace Engineering & Technology · Vol. 6, Issue 2, 2016 · pp. 65–70 Read article
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Quantitative Analysis of Static Load Balancing Algorithms in Cloud Computing Environment
Abstract: Cloud computing is an emerging internet-based technology emphasizing commercial computing. Cloud is a platform providing dynamic pool of resources and virtualization. It is based on pay-as-u-go model. The reliability of clouds depends on the way it handle loads, to overcome such problems clouds must be featured with the load balancing mechanism. Load balancing is required as we do not want one centralized server's performance to be degraded. Load balancing is …
Published in Current Trends in Information Technology · Vol. 5, Issue 1, 2015 · pp. 6–13 Read article
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Group Management for Secure and Dynamic Sharing of Data in Cloud Computing
Abstract: Cloud computing has emerged as new model of computing which allows outsourcing data. The phenomenon of outsourcing data to cloud became obvious as cloud has infrastructure as a service (IaaS) layer for it. With this feature of cloud, there is growing trend in outsourcing data to cloud. When an enterprise outsources its data to cloud, it needs to take care of its functionalities in terms of data sharing across its …
Published in Current Trends in Information Technology · Vol. 6, Issue 3, 2016 · pp. 16–23 Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article
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Artificial Intelligence Techniques for Smart Polymer Nanocomposite Materials and Industrial Applications
Abstract: Protecting sensitive material data, manufacturing processes, and intelligent monitoring platforms is essential for the fast development of innovative polymer nanocomposite systems in fields such as aerospace, medicine, electronics, automobiles, and energy. In order to safeguard, consistently enhance, and optimize distributed industrial systems that consist of polymer nanocomposite materials, this study presents an AI-driven cybersecurity and cloud computing architecture. The suggested solution employs artificial intelligence (AI), machine learning (ML), cloud computing, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1109–1134 Read article
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Advancements in Image Processing Techniques for Computer Vision Applications
Abstract: The fast-developing field of computer vision is transforming how people perceive and comprehend pictures and movies. Autonomous systems, robotics, healthcare, and surveillance are just a few of the many applications that have been made possible by recent significant advances in image and video processing. An overview of current developments in computer vision approaches, algorithms, and techniques for image and video analysis is given in this abstract. In conclusion, the analysis …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 27–32 Read article