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1481 articles for “Computational Data”
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Comparison of Various Load Balancing Algorithms in Cloud Computing
Abstract: The components associated with distributed computing are customers, datacenter and appropriated server. One of the principal issuesin distributed computing isload adjusting. Adjusting the heap intends to circulate the outstanding task at hand among a few hubs uniformly so no single hub will be over- burden. Burden can be of any kind that is it very well may be CPU load, memory limit or system load. Right now, introduced a design …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 4, 2021 · pp. 1–5 Read article
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Advances in Deep Learning for Medical Image Analysis in the Era of Precision Medicine
Abstract: Medical imaging is fundamental to modern healthcare but analyzing the high-dimensional data requires advanced techniques. Manual image interpretation is time-consuming, subjective and limited in detecting complex patterns and minute details. Recent breakthroughs in Deep Learning offer transformative advances for unlocking clinically relevant information from medical images. This paper provides a comprehensive 6000+ word review of the current state-of-the-art Deep Learning techniques for medical image analysis including detailed coverage of key …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 10–23 Read article
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Comparison of Various Load Balancing Algorithms in Cloud Computing
Abstract: The components associated with distributed computing are customers, datacenter and appropriated server. One of the principal issues in distributed computing is load adjusting. Adjusting the heap intends to circulate the outstanding task at hand among a few hubs uniformly so no single hub will be overburden. Burden can be of any kind that is it very well may be CPU load, memory limit or system load. Right now, introduced a …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 2, 2021 · pp. 1–5 Read article
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Glitches in the Implementation of Bioinformatics in Medical Settings: A Comprehensive Review
Abstract: Bioinformatics is a dynamic field at the intersection of biology, computer science, and information technology, offering new possibilities in medicine by enabling a deeper understanding of genomics, molecular biology, and personalized treatment approaches. Its integration into healthcare could greatly enhance diagnostics, enable tailored treatments for individuals, and facilitate the analysis of large biological datasets. However, despite its potential, several barriers impede its successful implementation in clinical settings. These include technical …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 1–6 Read article
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Covariance based Clustering for Digital Image Compression
Abstract: Traditionally clustering is done based on distance between the data points and the cluster centroids. A new type of clustering based on distance between the covariance matrices of the clustered data points was recently introduced. This allows clustering data points according to their spatial distribution model. This paper presents an improved algorithm for the computation of covariance based clustering with application to digital image compression. Karhunen-Loeve Transform is an optimal …
Published in Current Trends in Information Technology · Vol. 8, Issue 1, 2018 · pp. 16–21 Read article
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A Review Paper on IDS based Data Mining
Abstract: Security is one of the most concerning areas of computer system and for data. So, securing data over the network becomes one of the difficult tasks of data mining. In this paper, we study about data mining and intrusion detection system technology and effects of this system over data mining.Keywords: NIDS, IDS, SVM, GA
Published in Current Trends in Information Technology · Vol. 7, Issue 1, 2017 · pp. 1–6 Read article
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Revolutionizing Vaccine Development:The Transformative Role of Bioinformatics in Designing Next-Generation Immunotherapies
Abstract: Vaccines have long been central to the prevention and control of infectious diseases, dramatically reducing morbidity and mortality worldwide. In the modern era, the integration of bioinformatics has revolutionized vaccine development by enabling rapid, precise, and cost-effective identification of potential vaccine targets. This seminar explores the multifaceted applications of bioinformatics in vaccinology, including antigen discovery, epitope prediction, structural modeling, molecular docking, and immunoinformatics-driven vaccine design. Special emphasis is placed on …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 19–33 Read article
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Fuzzy Mathematics in Decision-Making: A Quantitative Perspective
Abstract: Fuzzy mathematics plays an increasingly generalized role in decision-making, and thus, this paper details different types of fuzzy mathematics and highlights other possible alternatives alongside fuzzy methodologies. Fuzzy models offer a versatile and precise approach to assessing complex and uncertain situations using fuzzy sets, membership functions, linguistic variables, and aggregation methods. Through the lenses of time, cost, and quality, the project management case study illustrates how fuzzy logic effectively evaluates …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 6–12 Read article
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Significant Advances in Cloud Computing in Information and Communications Technology
Abstract: The critical advances in information and communications technology (ICT) over the last half-century have led to the increasingly common vision that computing will one day become the 5th utility. This computing utility will provide the essential level of computing service considered basic to meet the everyday needs of the general public. To convey this vision, a number of computing models have been proposed, with the most recent being cloud computing. …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 3, 2024 · pp. 33–38 Read article
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Data Handling Algorithms for the Healthcare System for the Prediction of Diabetes in Health Data Science (HDS): A Review Report
Abstract: In recent years, diabetes has become the biggest disease in different countries around the world. This disease is caused by adulteration in food ingredients, unhealthy food habits, a lack of physical exercise, and changing the lifestyle every time without a routine chart. The main objective of this review paper is to provide a proper understanding of the machine learning algorithm used in the healthcare system to handle diabetic patients' data. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Comprehensive Review of Moebius Syndrome: Clinical Landscape, Etiology, and Therapeutic Challenges
Abstract: Moebius syndrome, a rare congenital neuromuscular disorder, presents with non-progressive facial weakness, limited eye abduction, and diverse manifestations affecting cranial nerves. This comprehensive review explores its clinical landscape, emphasizing the need for extensive investigations into its elusive etiology and genetic underpinnings. The estimated prevalence is 1 in 250,000 live births, with sporadic cases prevailing. Initial symptoms, evident from birth, encompass difficulties in sucking, and feeding, and absent facial expressiveness. Beyond …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 1, 2024 · pp. 27–38 Read article
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Cloud Computing Technology and its Impacts on Libraries
Abstract: The library is a knowledge resource centre in society. It serves as a repository for knowledge that future generations will use. Disseminating well-organized knowledge is the prime responsibility of the librarian. Information and communication technologies are being applied by library professionals to provide library services smoothly and effectively. Cloud computing is a pool of connected computers for applications, data, file storage, and usage. This article aims to give a general …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 2, 2022 · pp. 13–17 Read article
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Authentication Authorization and Auditing for Regenerating Encrypted Information in Cloud Computing
Abstract: AbstractTo secure an outsourced data in cloud storage against corruptions and adding fault tolerance to cloud storage together with data integrity checking and failure reparation becomes critical. Nowadays regenerating codes have been gained popularity due to the lower repair bandwidth while providing error a tolerance. Existing remote checking methods for regenerating-coded data only provide private auditing, requiring data owners to always stay online and handle auditing, as well as repairing …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 1, 2016 · pp. 7–11 Read article
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Bringing Serverless Edge Computing to School Administration: Challenges and Opportunities
Abstract: Serverless edge computing is revolutionizing app development by creativity in infrastructure management. However, traditional cloud-based serverless architectures can suffer from latency and reliability issues when serving users at the edge of the network. While edge computing brings storage and computing closer to data sources, upgrading performance and reducing network issues. This paper explores the convergence of serverless edge computing, examining the opportunities and challenges that arise from this integration. Delving …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 1–12 Read article
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Modeling Dispersed Count Data: Evaluating the Conway–Maxwell–Poisson Regression with COVID-19 Mortality Data
Abstract: Count data are prevalent in diverse fields such as biology, healthcare, psychology, and marketing, characterized by non-negativity and inherent heteroskedasticity, often exhibiting overdispersion or underdispersion. Traditional Poisson regression, which assumes equal mean and variance, is inadequate for such dispersed data. To address this, various generalized linear models (GLMs) and their extensions, including negative binomial (NB) and Conway–Maxwell–Poisson (CMP) regressions, are utilized. This study evaluates the performance of CMP regression compared …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 18–26 Read article
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A Survey Paper on Gene Expression Data in Data Mining
Abstract: For analyzing the gene expression data, data mining technique, i.e. data clustering methods are to be more victorious. Cluster analyses are performed to look for separating the given data set into groups that are based on particular characteristics or behavior;therefore the data are much similar in the same group and different from other cluster/groups. From past few decades, various studies on cluster analysis have been developed. Most traditional clustering algorithms …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 1, 2017 · pp. 14–22 Read article
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AES Encryption and Hashing Used for Data Security on Amazon Web Services
Abstract: AbstractCloud computing is the conveyance of processing as an administration instead of an item, whereby shared assets, programming, and data are given to PCs and different gadgets as a utility (like the power framework) over a system (commonly the Internet). Mists can be named open, private or half breed. Distributed computing, or in easier shorthand, essentially “the cloud”, moreover focuses on opening up the ampleness of the regular resources. Cloud …
Published in Journal of Web Engineering & Technology · Vol. 4, Issue 2, 2017 · pp. 1–8 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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Digital Farming: A Review on Agricultural Technologies and Data- Driven methods
Abstract: The article provides a comprehensive overview of the digitalization of farming and explores the technologies and data-driven approaches revolutionizing modern agriculture. The study examines the role of digital technologies such as precision agriculture, Internet of Things (IoT), artificial intelligence (AI), and data analytics in transforming various aspects of farming practices, including crop management, livestock production, and farm operations. The article reviews the application of sensor technologies for real-time monitoring of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 12, Issue 1, 2023 · pp. 9–15 Read article
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IoT Integration in Sustainable Agriculture
Abstract: The increasing demand for food production, environmental concerns, and resource limitations have necessitated the adoption of Internet of Things (IoT)-based innovative farming solutions. The current paper introduces an IoT-based system that integrates hydroponics, aquaponics, and poultry to promote sustainability, resource utilization, and agricultural productivity. Conventional farming practices are riddled with ineffective use of resources, uncertain environmental effects, and expensive operations. The new system facilitates real-time monitoring, automated decision support, and …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 69–84 Read article