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639 articles for “data sciences”
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Quantum Data Harmonization: Resolving Disparate Information Realms with AI-driven Data Science
Abstract: The proliferation of heterogeneous data structures across fragmented information systems hampers insights derivation necessitating harmonization methodologies reconciling multidimensional datasets for collective analytics. This article reviews quantum techniques leveraging qubit superposition for probabilistic data transformations as a novel data harmonization paradigm tailored for varied schemas commonly confronting interdisciplinary analyses spanning healthcare, finance and environmental domains. Hybrid quantum-classical algorithms and AI-based automation workflows hold promise coordinating dispersed data pools through learned mappings …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 2, 2023 · pp. 34–38 Read article
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AI-driven Flood Surveillance and Dam Control: Advancing Resilience Through Data Science
Abstract: This study presents the development and real-world deployment of an intelligent system for flood monitoring and automated dam gate control using artificial intelligence (AI) and internet of things (IoT) sensors. Supervised machine learning models are developed to predict floods up to 48 h in advance. An automated dam gate operation system is designed to leverage the flood forecasts and real-time stream water levels for emergency control. The complete end-to-end infrastructure …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 2, 2023 · pp. 9–17 Read article
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Hypothesis Testing and Life Expectancy: A Review
Abstract: Data science revolves around the idea of making moves/choices on the basis of past information available. However, data in itself is a broader term. There is raw data, which is collected by using survey and other methods, it may contain the information we need, but it also contains various other non-required information which is removed from the raw data by processing it. The data now recovered is vital information. Data …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 9, Issue 3, 2022 · pp. 21–30 Read article
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Smart Water Harvester
Abstract: Smart water harvester is a wiser use of Data Science in the optimization of rainwater harvesting, taking into account the forecast of precipitation and ideal catchment areas, and basically image processing using machine learning. In that respect, the system, via predictive algorithms like Random Forests, predicts the amount of rainfall by taking into consideration historical and real-time data, while Digital Elevation Models (DEM) and visualization methodologies of images make geographical …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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Big Data: How Universities Use Big Data for Admission
Abstract: The advent of big data has transformed the manner in which businesses handle, store, and oversee data. In the realm of extensive analytics, cloud computing has emerged as an indispensable resource, offering scalable and budget-friendly solutions for managing substantial data loads. This paper delves into the influence of big data on the university admission process, commencing with a definition of big data. It explores the advantages of employing big data …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 3, 2023 · pp. 24–29 Read article
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House Price Prediction: A Review
Abstract: In today’s scenario, real estate industry is growing rapidly. Everyone wants to purchase land and a home, either for personal use or as an investment. House prices keep changing day by day and it is hard for a person to choose the best from all of them. There are many technologies that help to analyse the various aspects of buying property. These digital platforms are created using various algorithms like …
Published in Journal of Open Source Developments · Vol. 9, Issue 3, 2022 · pp. 25–29 Read article
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Rise of Python: Analyzing Its Dominance in 2023 Programming Trends
Abstract: The study is on how Python rose as a leading programming language in 2023 and what are the top reasons of this ubiquitous utilization among industries. The Python programming language has been a go-to choice for both beginners and developers alike, courtesy of its versatility in working over various domains like Data Science, Machine Learning Web Development Automation etc. By having a vast library and framework ecosystem, supported by popular …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 43–47 Read article
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Applications of Graph Theory in Computer Science
Abstract: Graph theory, a branch of mathematics, has found broad applications in different areas, especially in computer science. This study inspects the basic concepts of graph theory and its different applications in computer science. It talks about the role of graphs in modelling real-world networks, algorithmic problem-solving, optimization, data structures, network analysis, and other significant areas within the domain of computer science. Through different illustrations and case studies, this study aims …
Published in Journal of Open Source Developments · Vol. 10, Issue 3, 2023 · pp. 30–35 Read article
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Applying Text Analysis Methods for Emotion Recognition
Abstract: This article presents a comprehensive study of sentiment analysis, a vital task in the realms of natural language processing (NLP) and artificial intelligence (AI). Sentiment analysis involves the extraction and classification of subjective information from textual data, determining whether the sentiment expressed is positive or negative. This paper investigates different approaches and methodologies used in sentiment analysis, encompassing machine learning models as well. Additionally, it discusses the challenges faced in …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 12–22 Read article
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Data-Driven Digital Twin Model for Real-Time Strength Estimation in Polymeric Materials
Abstract: The real-time prediction of mechanical properties in polymeric materials is essential for ensuring quality, consistency, and operational efficiency in modern manufacturing systems. As industrial processes become increasingly complex, traditional trial-and-error approaches to material characterization are no longer sufficient to meet the demands of high-throughput production environments. This study introduces a digital twin-integrated machine learning approach for the real-time estimation of tensile strength in polymeric materials by combining simulation-driven insights with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 246–257 Read article
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Analyzing Potential Leads Data to Improve Marketing Strategies
Abstract: To develop a lead scoring model using multiple machine learning models and create a user-friendly web application, the first step is to clearly define the problem and collect relevant data from various sources such as CRM, website, social media, email campaigns, etc. After cleaning and pre-processing the data, identify the essential features that can affect the lead score and split the data into training and testing sets. Next, select a …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 18–25 Read article
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Research Output in Medical Science Using Various Databases: A Review
Abstract: Research encompasses innovative and creative work undertaken on a systematic and scientific basis in order to increase the stock of knowledge, including knowledge of humans, culture and society, and the use of this stock of knowledge to invent new applications. Research output is regarded as a measure to the progress and development of a nation. In the present milieu, a nation prosperity, power and economy is determined by its research …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 4, Issue 2, 2015 · pp. 8–12 Read article
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Big Data Technology: Valuable Impact of Big Data on Library and Information Science
Abstract: Abstract: With the advancement of technology Big data is an important technology with vast amount of data storing in it and used in library and information science. In recent time Big data technology is necessary requirement for storing, accessing, retrieving, processing and regenerating new data. In digital era with the help of big data to store variety, volume, velocity, veracity and valuable data. The generating data in the form of …
Published in Recent Trends in Programming languages · Vol. 6, Issue 3, 2019 · pp. 26–32 Read article
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The Role of Bioinformatics in Nursing: Transforming Healthcare through Data-Driven Insights
Abstract: Bioinformatics, an interdisciplinary field combining biology, computer science, and information technology, is increasingly shaping the nursing profession. It offers powerful tools for improving patient care, advancing clinical research, and enabling personalized healthcare through data-driven decision-making. This article examines the integration of bioinformatics into nursing practice, tracing its historical roots from the Human Genome Project to its current applications in genomic medicine, precision healthcare, and population health. Nurses now play a …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 18–21 Read article
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Research Trend Analysis of Vidyasagar University since 1989: A Bibliometric Study
Abstract: AbstractThe present paper attempts to analyze quantitatively the growth of research output in Vidyasagar University in terms of publication output as reflected in web of science database over the years 1989 to 2014. The data was collected from the web of science database. The analysis highlights yearly output of research publications, publishing trend, authorship pattern, funding agencies, collaborating organizations, collaborating countries, most productive authors of the University, most preferred journals …
Published in Journal of Advancements in Library Sciences · Vol. 3, Issue 2, 2016 · pp. 89–102 Read article
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Life Cycle Assessment (LCA): A Tool for Sustainable Development and Environmental Management of Products
Abstract: Life cycle assessment (LCA) is a crucial technique for clearly understanding how much room there is for product improvement in a given good or service. Because of its high cost and application in eco-design, supply chain management, green buying, sustainable investing, and other relevant activities, manual data engineering and analysis processes. Traditional LCA methodologies and technology may need more scalability regarding substantial product portfolios and expanding reporting requirements. The Sustainability …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 2, 2023 · pp. 16–25 Read article
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Profile of Research Publications in Medicine: Study of Jordanian Medical Institutes
Abstract: The present study has been undertaken to explore the Jordanian medical science research output indexed in Scopus database during the last five decades. A total of 11106 documents were found using ‘Subjarea’ and ‘Affilcountry’ of the Scopus as search fields. The research output in Jordan is mainly produced through journal articles and reviews in medical sciences. The five-year interval from 2016-2020 is having highest number of publications while as the …
Published in Journal of Advancements in Library Sciences · Vol. 9, Issue 1, 2022 · pp. 1–10 Read article
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Research Productivity of the Brain and Language Journal from 1999 -2018: A Scientometric Analysis
Abstract: AbstractScientometric studies are among the most efficient methods for assessing the status of scholarly outcomes. These studies are considered as the most practical methods for evaluating the scientific production of countries, authors and organizations. Using the Web of Science (WoS), the present study aims at mapping the structure of the Brain and Language journal. The journal looks into the intrinsic relationship between language and brain .The study demonstrates and elaborates …
Published in Journal of Advancements in Library Sciences · Vol. 7, Issue 1, 2020 · pp. 91–99 Read article
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Matrix Factorization and Tensor Decomposition at Scale: Mathematical Foundations and Computational Approaches
Abstract: Matrix factorization and tensor decomposition techniques have emerged as fundamental tools in machine learning and data science for handling high dimensional data efficiently. This paper presents a comprehensive analysis of scalable matrix factorization and tensor decomposition methods, focusing on their mathematical foundations, computational complexity, and practical applications. We examine key algorithms including Singular Value Decomposition (SVD), Non-negative Matrix Factorization (NMF), CP decomposition, and Tucker decomposition, with particular emphasis on their …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 56–59 Read article
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Mapping of Astrophysics Research Output in India during the Period from 1989 to 2016
Abstract: AbstractThis study analyses the astrophysics research output in India from the year 1989 to 2016. The data was downloaded from web of science database which was maintained by Thomson Reuters. The year wise authorship pattern study reveals that two authors and three authors have the maximum number of contributions with 4765 with 27.96% and 3663 with 21.49% publications. It has also been noted that out of 17046 papers, single authors …
Published in Journal of Advancements in Library Sciences · Vol. 7, Issue 1, 2020 Read article