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639 articles for “data sciences”
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Bibliometric Analysis of Biochemistry, Genetics and Molecular Biology Research Output
Abstract: AbstractOne of the fundamental criteria to determine the research performance of any institute is its publication profile and more pertinently to say the quality of its published output. This study has tried to analyze the publications output and visibility of Biochemistry, Genetics and Molecular Biology in India. The data were collected from Web of Science database from last 20 years. It was found that the India observed progressive proclivity in …
Published in Journal of Advancements in Library Sciences · Vol. 2, Issue 2, 2015 · pp. 18–24 Read article
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Publication Trends in Indian Journal of Traditional Knowledge: A Bibliometric Analysis
Abstract: AbstractIn this paper, author has discussed the publication trends in the Indian Journal of Traditional Knowledge using bibliometric tools. The bibliographic data was collected from the Web of Science database. A total of 990 articles were published in the journal during 2007–2015. Further, researcher analyzed articles by year-wise distribution, authorship pattern, prolific authors, citation counts, country-wise contribution, most cited references, sources and keyword analysis.Keywords: Bibliometric analysis, Indian Journal of Traditional …
Published in Journal of Advancements in Library Sciences · Vol. 3, Issue 2, 2016 · pp. 25–34 Read article
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The Tapper Approach: An Integrated Framework for Land Degradation, Restoration, and Climate-Conflict Dynamics
Abstract: Land systems across the globe are increasingly exposed to multiple and interacting pressures, including land degradation, climate change, biodiversity loss, unsustainable land-use practices, rapid population growth, and socio-economic conflicts. These challenges not only reduce ecosystem productivity and resilience but also threaten food security, water availability, rural livelihoods, and long-term environmental sustainability. Despite the growing recognition of these interconnected issues, most existing conceptual and analytical frameworks continue to address them in …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 2, 2026 · pp. 24–30 Read article
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Fake Cryptocurrency Detection Using Python
Abstract: This study investigates the use of Python-based techniques for detecting fraudulent cryptocurrencies, addressing a growing concern in the digital financial ecosystem. The research methodology integrates various data science approaches, including web scraping, API integration, and advanced data analysis using Pandas and NLTK. Machine learning models, particularly classification algorithms such as Random Forest, are employed to analyze key features extracted from cryptocurrency whitepapers, social media discussions, and transactional data. By training …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
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A Study on the Intersection of Human and Artificial Intelligence through Augmented Analytics
Abstract: The amount of exertion put in analytics by humans is colossal. Analytics today predominantly consists of performing the same steps repeatedly manually. Augmenting practices leverage the idea of automating the steps which are repeatedly done by humans and coalesce it with decision making capabilities of mankind. This will furnish us with applications where machines will understand data and make automated business analytics with the help of machine learning and AI. …
Published in Recent Trends in Programming languages · Vol. 10, Issue 1, 2023 · pp. 7–12 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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Genesis of English Language with its Cybernetics Origin
Abstract: AbstractThis paper is looking into the genesis of the English language with its Cybernetics origins and hence looking into the possibilities of developing new techniques to be used in speech processing applications. As we all know, English is the third-most-spoken language in the world by a number of native speakers, which is used to create the present world, which is also a West Germanic language that was first spoken early …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 19–28 Read article
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LinkedIn Connection Visualizer
Abstract: This project focuses on connection visualising with the help of a social network. The digital age has exponentially expanded professional networks, making it imperative for individuals to harness platforms like LinkedIn efficiently. Our project introduces the "Profile Resonance Recommendation Algorithm (PRRA)", a unique approach to navigatethis intricate web. PRRA refines the traditional Content-Based Filtering mechanism to provide LinkedIn users with recommendations that resonate closely with their professional profiles. By analysing …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 3, 2023 · pp. 1–9 Read article
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Factor Analysis of Crime Data
Abstract: Crime analysis is an act implementation function that includes organized investigation for increasing clarifications to crime problems, and articulating crime stoppage outlines. The main part of crime analysis process is the quantitative social science data analysis methods, though qualitative methods for instance inspecting police report tales also performance a character. This paper analyses US crime data by applying multivariate factor analysis techniques that was engaged to describe the association between …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 2, 2020 · pp. 20–32 Read article
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Neuroinformatics and Its Impact on the Future of Brain-Computer Interface Technology
Abstract: Neuroinformatics, a multidisciplinary field combining neuroscience, information technology, and data science, plays a crucial role in advancing brain-computer interface (BCI) technology. By leveraging large-scale neural data, machine learning algorithms, and computational models, neuroinformatics enhances our understanding of brain function and improves the design and development of BCIs. The integration of neuroinformatics into BCI systems offers new possibilities for interpreting complex brain signals, facilitating real-time communication between the brain and external …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 9–18 Read article
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Recipe-Fusion: Multimodal Food Recipe Recommendation System
Abstract: The food recipe recommendation system using data science is a software solution designed to help users discover new and delicious food options based on their food history and other relevant data. This system recommends various recipes based on the input given by the user and it helps to filter out the recipes on course type, diet type, and nature of the food (including non-veg, and veg) using a recommendation technique. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 82–91 Read article
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Knowledge Management
Abstract: AbstractLibrary is heart of an organization. Emerging trend of the ICT has changed the form of the data available in digital format. Library has the collection of books (reference, text, handbook etc), journals (regular, bound volumes), and newspapers, etc. in hard copy format. Because of new technologies, these materials are available in electronic format. Huge amount of information is now there in one click on internet. Knowledge is available in …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 1, 2019 · pp. 27–31 Read article
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The Evolution of Programming Languages: A Survey from Early Achievements to Modern Advancements
Abstract: Programming languages are fundamental to software development, providing the means for developers to communicate instructions to computers. This study provides a broad overview of programming languages and their history, classifications, key elements, the compiler and interpreter systems that implement them, and notable trends driving innovation. It examines imperative, object-oriented, functional, logical, and scripting languages while exploring syntax, semantics, typing systems, abstraction, variables and bindings, control flow, and runtime environment considerations. …
Published in Recent Trends in Programming languages · Vol. 10, Issue 3, 2023 · pp. 8–14 Read article
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Computer Data Processing and Empirical Economics
Abstract: This is an article on empirical economics and computer data processing that discusses how computational technology have changed empirical research methods. It analyses how computer systems have changed data management, statistical modelling, and econometric analysis, focussing on large-scale data processing, algorithmic efficiency, and repeatability. Forecasting, policy simulation, and panel data analysis are key uses. The paper also addresses data quality, computational, and ethical issues in economic data use. The paper …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 09–20 Read article
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Improving Dataset Integrity Through Automated Data Cleaning Techniques
Abstract: High-quality data is a fundamental requirement in data science for producing trustworthy analytical insights and effective machine learning models. Problems, including incomplete records, inconsistent entries, duplicate observations, and anomalous values, can severely reduce the accuracy and robustness of predictive systems. As modern datasets continue to expand in both volume and structural complexity, relying on manual data cleaning methods become time-consuming and error-prone, highlighting the growing importance of automated data preprocessing …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 40–45 Read article
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Recent Advances in Polymer Analysis and Characterization Techniques for High-Performance Materials
Abstract: Polymers play a vital role in various fields, from biomedical engineering to energy storage. Developing high-performance polymers requires a deep understanding of their structure, properties, and behavior. This review paper delves into recent advancements in polymer analysis and characterization techniques. This paper is a comprehensive bibliometric analysis which investigates the research landscape of geopolymer concrete incorporating construction and demolition waste (CDW) by analyzing 389 publications from the Web of Science …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 76–93 Read article
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Literature Review and Discussion of Machine Learning Algorithms for Predicting Chronic Kidney Disease
Abstract: Being one of the most serious and most occurring diseases in our era, chronic kidney disease requires a fast and correct diagnosis. The usage of machine learning in medicine has now grown to such a level that it could be a means of diagnosis. The doctor can be the first one to get the ailment by using machine learning classifier algorithms. This has been the data science sector’s new horizons, …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 34–39 Read article
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Breaking Barriers: Overcoming Challenges for Women in STEM in India-A Conceptual Perspective
Abstract: STEM education which brings together Science, Technology, Engineering, and Mathematics has become the foundation for success in today’s fast-changing, technology-driven world. It helps students think critically, solve real-world problems, and adapt to new innovations like artificial intelligence, robotics, data science, and biotechnology. In a country like India, where digital transformation is reshaping every sector, STEM education is not just an academic choice but a key to national growth and progress. …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 8–13 Read article
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Computer Networking: Role of Communication, Trends and Issues
Abstract: Computer networking and communication signal both terms are both basic requirements in the world because all of the worlds are in-directly depends-on the Internet. Word communication is much important in the field of data science and technology. Communication systems are the basic need of society to share information about each other. At present lot of devices are available to use communication systems like mobile, computers, laptops, tabs, and many more. …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 3, 2021 · pp. 1–10 Read article
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Biodiversity: A Scientometric Analysis of Publications Output from India During 2003–2012
Abstract: AbstractThe study analyzes the biodiversity research output carried out during 2003–12 on different parameters including; share and citation impact, international collaborative papers, contribution of various subject fields, productivity and citation profile of top Indian institutions and authors. The Web of Science Database has been used to retrieve data for 10 years (2003–12). RCI and ACCP were applied to evaluate the scientific impact of publications. India holds 13th rank among the …
Published in Journal of Advancements in Library Sciences · Vol. 2, Issue 2, 2015 · pp. 41–47 Read article