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1482 articles for “Computational Data”
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Data Science: Domains, Process, Roles and Responsibilities
Abstract: The study of information retrieval and analysis, or data science, tries to identify information and correspondence hidden in raw, defined information. To extract useful information from data, data science therefore combines programming expertise with understanding of mathematics and statistics. In the field of data science, machine learning algorithms are employed to handle various types of input, including numerical, textual, visual, and auditory data. Therefore, algorithms perform certain tasks related to …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 2, 2023 · pp. 29–35 Read article
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Study on Cloud Computing’s Deployment Models
Abstract: Cloud computing represents a significant technological advancement in the information technology industry. It is one of the fastest-growing technologies, where computing resources are managed and allocated across the globe via the internet. Today, cloud computing is a key topic in many computer science curricula due to its extensive impact on various computing domains, particularly big data, which would be impossible without cloud computing. Cloud computing is an internet-based technology that …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 26–33 Read article
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Employing Cyber Security in Big Data
Abstract: Big data is identified by extreme measure of information generated at a standard premise by devices and internet-based sources. To construct valuable solutions for specific fields, this data can be treated and dismembered. Different techniques of computational and data analysis have been identified for usage in this domain. It has provided upward advancement of voluminous data processing registering models and tools. In traditional systems and innovations, the capability and handling …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 2, 2022 · pp. 18–21 Read article
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Digital Frontiers in Life Sciences: The Transformative Role of Computing in Modern Biology
Abstract: The integration of computers in the biological sciences has revolutionized research and experimentation, facilitating advancements in areas such as genomics, bioinformatics, systems biology, and ecological modeling. The ability to process vast amounts of biological data efficiently has transformed how scientists study complex biological systems and phenomena. Computational tools enable the analysis of DNA sequences, protein structures, metabolic pathways, and ecological dynamics, which were previously beyond the reach of traditional laboratory …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 1–20 Read article
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Emerging Technologies Big Data and Cloud
Abstract: Cloud computing is a effective and rising generation to carry out large and complicated computing. It affords a such an surroundings that's reliable & fault tolerant to haven massive information disbursed control systems. Big statistics refers back to the incapacity of vintage statistics architectures to address new statistics units efficiently. In the current times, exceptional boom has been determined in massive statistics domain, generated thru cloud computing. Big statistics remedy …
Published in Current Trends in Information Technology · Vol. 11, Issue 2, 2021 · pp. 16–22 Read article
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Secure Two Party Computation
Abstract: The author investigated the flaws with two-party computation over a cloud or parallel services for an encrypted data which can be easily accessed by any efficient shell programmer. Generally, the computation with the slaves and the master enables the store-to-store data locally, even that may be a constant amount of data and thereby we have found that the third parties can remotely access the n amount of data items, while …
Published in Journal of Advances in Shell Programming · Vol. 1, Issue 3, 2014 · pp. 1–2 Read article
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Applications of Computers in Pharma and Medical Sciences
Abstract: The purpose of the present research was to study the applications of computers in pharmacy. The researches will be long-lasting and costly without using the computers. Using computers is useful for the patient profile monitoring, drug interactions, medication, database management such as different softwares (PubMed, RasMol, NCBI etc.), material management, drug information services, patient counseling, billing and purchasing. The 21st century is a century for robotics. Robots have long borne …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 8, Issue 2, 2021 · pp. 29–37 Read article
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Big Data in Chemistry: Problems and Answers
Abstract: The rapid growth of experimental and computational chemistry data, researchers now have access to vast datasets, presenting both significant opportunities and challenges. This paper explores the primary challenges associated with managing, processing, and utilizing big data in chemistry, including data heterogeneity, integration across various scales and systems, lack of standardized formats, and the need for advanced tools for data analysis. Additionally, the paper discusses the ethical concerns of data ownership, …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 9–14 Read article
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A Review on Impact of DUE (Drug Utilization Evaluation) in Promotion of Rational Drug Prescribing in India
Abstract: In recent years drug utilization studies have become a potential tool to be used in the evaluation of health systems. On the process of drug utilization studies focus on factors related to prescribing, dispensing, administering and taking of medication, and its associated events. Drug utilization data are available from databases- computerized or otherwise. From these databases different types of information, qualitative or quantitative or referring to a particular population are …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 8, Issue 2, 2023 · pp. 1–12 Read article
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A Study and Report on Due (Drug Utilization Evaluation) of Cardiovascular and Endocrine Disorders/Diseases in Inpatient Units of Hospitals
Abstract: In recent years drug utilization studies have become a potential tool to be used in the evaluation of health systems. On the process of drug utilization studies focus on factors related to prescribing, dispensing, administering, and taking of medication, and its associated events. Drug utilization data are available from databases- computerized or otherwise. From these databases different types of information, qualitative or quantitative or referring to a particular population are …
Published in Trends in Drug Delivery · Vol. 8, Issue 3, 2023 · pp. 11–32 Read article
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The Future of Multi-cloud Infrastructures in Data Engineering for Challenge of Handling Large and Dynamic Datasets
Abstract: This paper explores the future of multi-cloud infrastructures in data engineering for the challenge of handling large and dynamic datasets. It delves into the opportunities and challenges presented by multi-clouds, focusing on their role in managing large volumes of data and complex computational tasks. The paper discusses the advantages of multi-clouds, such as manageability, flexibility, and cost-effectiveness, and their potential to enhance the efficiency and accuracy of recommender systems. It …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 3, 2023 · pp. 18–23 Read article
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Novel Architecture of an Intelligent Query Optimizer for Distributed Database in Cloud Environment
Abstract: Cloud computing delivers services like storage, databases, servers, networking, software and many more over the internet. Users get services from cloud providers and pay for it as per their usage. Database as a service DaaS is becoming a more popular service of cloud computing. Enterprises are transferring the storage data to cloud computing centre. Due to faster response and more reliability, distributed databases are used in cloud for storing and …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 2, 2018 · pp. 28–32 Read article
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Security providing to Cloud storage System: A Study
Abstract: Distributed computing is an anticipated upset in data innovation industry due to its execution, availability, ease and numerous different extravagances. It gives stockpiling to information and speedier figuring to clients over the web. That is the reason organizations are hesitant to convey their business in the cloud even distributed computing offers a wide scope of extravagances. Security of information in the cloud is one of the significant issues which goes …
Published in Recent Trends in Parallel Computing · Vol. 3, Issue 2, 2016 · pp. 34–38 Read article
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A Review on Smart and Sustainable Agriculture
Abstract: Increasing the crop yield, reducing cost and space, rendering environmental friendliness to the application method and synthesis of fertilizers and pesticides are objectives of research and studies on agriculture. For getting optimum results, acute control over the use of resources is very important aspect. Many of these advanced technologies are being explored for various applications. This review aims at providing insight on the research and studies on application of internet …
Published in Research & Reviews : Journal of Botany · Vol. 10, Issue 2, 2021 · pp. 11–15 Read article
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Dynamic Update and Public Auditing with Dispute Arbitration for Cloud Data
Abstract: AbstractCloud computing is a kind of computing that relies on allocation of computing resources rather than having local servers or personal devices to handle applications. Storage outsourcing became an upward trend with the arrival of the cloud computing, promoting the secure remote data auditing to be appeared in the exploration. Moreover, this exploration considers the problem of data dynamics support, public verifiability and dispute arbitration concurrently. The data dynamics problem …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 3, 2017 · pp. 14–19 Read article
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Fuzzy Probability Distributions and Their Applications in Uncertain Data Analysis
Abstract: This study explores the use of fuzzy probability distributions in data analysis under uncertain conditions, with a specific focus on their implementation in evaluating call center customer satisfaction. Traditional probability models rely on precise parameters, often failing to account for the inherent variability and subjectivity present in real-world data. In contrast, fuzzy probability distributions, which integrate fuzzy logic principles, offer a more adaptable and realistic framework for addressing such complexities. …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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Utilizing AWS Advanced Services for Modernizing and Refactoring Legacy Systems to Achieve Cloud-Native Capabilities
Abstract: Updating and restructuring outdated systems is essential for organizations seeking to harness the scalability, adaptability, and robustness offered by cloud-native architectures. Legacy systems can obstruct innovation because of their rigid structure, expensive maintenance, and inability to scale effectively. Amazon Web Services (AWS) provides a comprehensive suite of advanced services that enable the efficient transformation of such systems into modern, cloud-native solutions. This paper explores strategies and best practices for utilizing …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 44–65 Read article
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Development of Software Packages for Computer Aided Design and Performance Analysis of Industrial Fractional Distillation Equipment
Abstract: This paper deals with improved CAD software packages that have been developed with the objective of improvising the existing conservative design of fractional distillation equipment. Since fractional distillation is extensively employed in petroleum refineries, distilleries and in a large number of chemical process industries, accurate design and optimised performance of these equipments are detrimental to the overall economy of these industries. Further, the efficient performance of the fractionators are dependent …
Published in Emerging Trends in Chemical Engineering · Vol. 2, Issue 3, 2015 · pp. 15–41 Read article
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
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A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article