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636 articles for “data sciences”
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Viscoelastic Behavior, Interfacial Mechanics, and Reliability of Polymer Interlayers in Laminated Glass Composites: A Comprehensive Review
Abstract: The laminated glass systems are regarded as hybrid polymer–glass composites where the viscoelastic behavior of polymer interlayers mostly controls mechanical response. These interlayers (polyvinyl butyral (PVB), ionoplast, ethylene-vinyl acetate (EVA), etc.) have time-, temperature- and rate-dependent properties which significantly affect shear transfer, energy dissipation, and fracture resistance. But the baseline polymer-relevant processes at the molecular and interfacial level are to a large extent unknown [1]. This review provides a materials-focused …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 258–268 Read article
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A Hybrid model of ResNet50 integrated U-Net for image Denoising for Polymer and Composite Microstructure Analysis
Abstract: In digital era a high-quality imaging plays a very important role in polymer and composite material characterization features such as fiber-matrix interfaces, voids, microcracks cause problems in mechanical and functional properties. Polymer imaging includes optical microscopy and scanning electron microscopy, due to sensor limitation, environmental conditions add noise to the image and reduce quality of image. The noise degrades image quality, and it leads to reduce reliability in material analysis. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 592–602 Read article
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Internet of Things-based Smart Agriculture
Abstract: AbstractInternet is used in communication in solving certain human challenges. These challenges are usually in the areas of science and technology including but not limited to agriculture. In all these areas, the internet is used to conduct communication in order to achieve smart recognition, tracking, monitory, administration and positioning. The study evaluated Internet of things-enabled agriculture (IoTsEA). It examined the characteristics of IoTs in relation to agriculture, the deliverables of …
Published in Current Trends in Information Technology · Vol. 10, Issue 3, 2020 · pp. 35–42 Read article
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Prevalence of Perceived Stigma and Associated Factors among People with Epilepsy in Mekelle, Tigray, Ethiopia, 2019
Abstract: AbstractBackground: Epilepsy is defined as the most common, chronic, noninfectious neurologic disease that attacks around fifty up to sixty-nine million peoples without any age, sex, religion, ethnicity boundaries. Stigma is typically a practiced or predicted social system, characterized by exclusion or rejection of a person or group. Now a day perceived stigma among people with epilepsy become public health problems in the world. Perceived stigma in epileptic patients affects many …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 10, Issue 2, 2020 · pp. 24–35 Read article
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Use and Awareness of E-Databases in Engineering College Faculties of Karnataka: An Analytical Study
Abstract: This paper aims to assess and evaluate the use of e-database in engineering college libraries of Karnataka, use of e-databases by the faculty members of various engineering colleges through a survey based on a structured questionnaire. Various statistical methods have been used for data analysis. The study confirmed that faculty members are aware of the edatabases and various types of e-resources, e-thesis, and e-journals. The highly significant difference ( …
Published in Journal of Advancements in Library Sciences · Vol. 5, Issue 1, 2018 · pp. 58–67 Read article
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Use of Electonic Resources by the Patrons of University of Kashmir
Abstract: AbstractThe study was an attempt to determine the use and satisfaction level with respect to the electronic resources provided by the University of Kashmir to its users. A total of 200 questionnaires were distributed to collect the primary data from full time Research Scholars (M.Phil/Ph.D) and post-graduate students of science and social science faculties, University of Kashmir. The result shows that users of science faculty use e-resources adeptly than users …
Published in Journal of Advancements in Library Sciences · Vol. 2, Issue 1, 2015 · pp. 48–56 Read article
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Assessment of Effective use of Online Webinars, Workshop, Conference and Quizzes on Library Science Professionals during Covid Scenario: A Survey
Abstract: Due Covid-19 virus around the globe all sectors have been jeopardized and came to halt. Libraries were not exceptions too, where library professionals started learning and sharing professional knowledge through different e-platforms on different Library Science themes, issues and challenges after a covid scenario in the libraries. The study explored the library science professionals on effective use of online webinars and other series during covid times. The study employed quantitative …
Published in Journal of Advancements in Library Sciences · Vol. 9, Issue 4, 2022 · pp. 1–11 Read article
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Research Output of Department of Library and Information Science, Tilak Maharashtra Vidyapeeth, Pune
Abstract: AbstractThe present communication attempts to trace the research trends in library and information science (LIS) carried out by the researchers in Tilak Maharashtra Vidyapeeth (TMV), department of LIS. It presents the analysis of thesis/dissertations submitted by research scholars for getting degrees of M.Phil. and Ph.D. during the academic period 2008–2018. During this period, 168 thesis/dissertations have been submitted by research scholars of M.Phil. and Ph.D and 160 have been accepted …
Published in Journal of Advancements in Library Sciences · Vol. 7, Issue 1, 2020 · pp. 20–27 Read article
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An Overview on AI-Driven IoT Based Decision Making in Climate change Study: KSK approach in Climate Change Study
Abstract: As the Earth’s climate enters a state of unprecedented volatility, the traditional methods of ecological observation—characterized by delayed reporting and fragmented data—are no longer sufficient. This study investigates the paradigm shift toward AI-driven IoT (KSK Approach)-based decision-making frameworks as the primary frontier in climate science. By deploying a "planetary nervous system" of interconnected sensors—measuring everything from soil moisture in the Sahel to glacial melt rates in the Arctic—we generate a …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 1–10 Read article
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Role of Artificial Intelligence in Quantum Materials Research
Abstract: Quantum materials have emerged as a transformative class of advanced materials due to their extraordinary electronic, magnetic, optical, and topological properties governed by quantum mechanical phenomena. These materials are expected to revolutionize next-generation technologies such as quantum computing, spintronics, superconducting electronics, nanoelectronics, intelligent sensing systems, and energy-efficient devices. However, conventional methods for discovering and optimizing quantum materials are often expensive, time-consuming, and computationally intensive because of the enormous complexity of …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 · pp. 13–27 Read article
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A Study on Computer Vision: Techniques, Algorithms and Application
Abstract: This study gives a brief explanation or idea about what computer vision is and how it is implemented. Computer vision has so many different applications which are being used and are also under development for future enhancements. All this information can be found here in this research work. Computer vision is a branch of computer science that aimed at developing digital system, which is capable of processing, analysing, and comprehending …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 1, 2022 · pp. 1–8 Read article
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Computational Biology & Bioinformatics: A Gentle Overview
Abstract: Computational biology organises our understanding of life, makes biological concepts rigorous and testable, and provides a reference map that connects individual insights. The next modern synthesis in biology will be driven by the incorporation of mathematical, statistical, and computational methods into mainstream biological education, transforming biology into a quantitative science. Bioinformatics is divided into several branches, including Genomics, Proteomics, Computer-Aided Drug Design, Bio Data Bases & Data Mining, Molecular Phylogenetics, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 10, Issue 3, 2021 · pp. 1–3 Read article
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Prevalence of Dental Anxiety among Patients Visiting a Teaching Dental Hospital in Lucknow, India and Self-perceived Treatment Need
Abstract: The provocation of anxiety by dental treatment is a universal phenomenon. The present study aims to assess the prevalence of dental anxiety among patients visiting a teaching dental hospital in Lucknow, India and their self-perceived treatment needs. It is a questionnaire-based cross-sectional study carried out on patients visiting the various departments of Babu Banarasi Das College of Dental Sciences and Hospital, Lucknow. The chi-square (χ2) test was used for comparison …
Published in Research and Reviews: A Journal of Dentistry · Vol. 4, Issue 3, 2013 · pp. 36–42 Read article
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Multi-Modal (Hybrid) More Efficient and Highly Secured Enhanced Hand Geometry Authentication using 3 Steps Authentication by Means of Biometrics, Steganography and Encryption
Abstract: “Biometrics” is the science, which is used to verify the identity of the persons through either behavioral traits or physical characteristics. This area has gained great importance in maintaining the security of the places that require high security accuracy. Hand geometry is considered one of the biometrics, which derived its reputation from the ease of use and the acceptance of many people to use it. Hand geometry based biometric systems …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 2, 2014 · pp. 22–33 Read article
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Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques
Abstract: The integration of continual learning with Large Language Models (LLMs) and Natural Language Processing (NLP) represents a transformative step toward creating adaptive, intelligent systems capable of functioning effectively in ever-changing environments. Traditional LLMs are typically trained on large, pre-collected datasets, which limits their ability to evolve as new information emerges. Continual learning, in contrast, enables models to acquire new knowledge incrementally without the need for complete retraining, thereby supporting long-term …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
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A Comprehensive Review of Machine Learning and Explainable AI Techniques for Disease Prediction Systems
Abstract: Large amounts of diverse medical data have been produced because of the quick development of digital healthcare systems, offering substantial chances to use machine learning methods for clinical decision support and illness prediction. By identifying intricate patterns in clinical data, machine learning-based models have shown great promise in early disease detection, risk assessment, and personalised healthcare. However, issues with transparency, interpretability, and reliability have been brought up by the growing …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Tools, Modern Drugs, and Latest Investigations for the Diagnosis and Treatment of Heart Failure: A Systematic Review of the General Causes
Abstract: Heart failure (HF) diagnosis and treatment present formidable challenges, given the absence of a definitive single test. This systematic literature review aims to comprehensively analyze the current landscape of diagnostic tools, modern drugs, and latest investigative approaches in HF management. Recognizing the complexity of HF etiology, this systematic review emphasizes the importance of advanced diagnostic methods, such as genetic testing and artificial intelligence applications. The systematic review was conducted to …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 1–10 Read article
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Semantic Web Identity of Rajiv Gandhi University And health Science Libraries
Abstract: Semantic Web Identity (SWI) is a condition that search engines recognize the existence and nature of existences. The display of Knowledge Graph Card in Google search results is an indicator of SWI, as Google shows that it has collected verifiable realities about existence. Such exposure can improve the accuracy and accuracy of Google's references to that entity. This article summarizes a portion of research recently conducted by Doctorate dissertation, showing …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 1, 2019 · pp. 418–425 Read article
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Prediction of Disease by Symptoms Using Machine Learning
Abstract: Machine Learning and data mining, both play the most popular role in analyzing and prediction in the field of health organization. It also helps to uncover different and new patterns in medicinal science. This project is around prediction of disease with help of the symptoms. This project aims to propose a model which will be strongly trained in detecting common diseases so that few of the common diseases can be …
Published in Journal of Advancements in Robotics · Vol. 9, Issue 1, 2022 · pp. 8–11 Read article