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15 articles for “scient metrics”
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Network Safety Utilizing Web of Science: A Bibliometric Examination
Abstract: Post Coronavirus, it is close to 100% sure that most IT/ITES empowered enterprises will saddle the abilities of the cloud to advance remote working society. With associations going on the web, the likelihood of digital assaults will spike dramatically. Hence it is exceptionally significant for all carefully empowered businesses to stay up to date with the latest things, concerns, and on-going examination in the field of network protection. The investigation …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 1, 2023 · pp. 9–16 Read article
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Intimate Mappings in Interval-Valued Fuzzy Metric Space: A Few Fixed-Point Findings
Abstract: The purpose of this study is to extend some previously established fixed point results for interval valued fuzzy metric space. For this objective, various contractive criteria with respect to an intimate mapping are applied. We employ intimate mapping in interval valued fuzzy metric space (IVFMS) to validate some well-known fixed point results. Our findings complement and generalize the recent findings of the common fixed point theorem for intimate mapping. The …
Published in Recent Trends in Mathematics · Vol. 1, Issue 1, 2024 · pp. 16–23 Read article
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Correlation Between Software Metrics and Defects
Abstract: Nowadays open source software systems are more popular and plying very important roles in many scientific and business software applications. Most companies are searching for open source software projects and many of them are using this open source projects in their own work. But as a result, open source software is commonly developed with a special management style than the economic ones, the standard and reliableness of the code have …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 1, 2018 · pp. 6–11 Read article
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(𝛅,Ü ) Convex Structure on Partial B-Metric Space Concerning Quasi Contraction and Fixed-Point Results
Abstract: This work introduces the concept of (δ,Ü )– Convex Partial b-Metric Spaces using convex structure. Motivated by this approach, we demonstrated fixed point results and their uniqueness, as well as quasi contraction, and provided some supporting instances for the established results. Our findings expand prior fixed-point results to a novel concept (δ,Ü )– Convex Partial b-Metric Spaces. To support our theoretical findings, we provide several instances that exemplify the established …
Published in Recent Trends in Mathematics · Vol. 1, Issue 1, 2024 Read article
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Review article on Quality Control in Clinical Trials
Abstract: Quality control (QC) is a critical component in the conduct of clinical trials, ensuring the accuracy, reliability, and credibility of data collected throughout the study. It encompasses a systematic set of procedures designed to monitor trial conduct and data integrity, thus safeguarding the rights, safety, and well-being of participants. This review explores the principles, implementation, and evolving practices of quality control in clinical trials, highlighting its importance across all phases …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 01–07 Read article
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Institutional Engagement with Indigenous Knowledge: A Global Scientometric Analysis
Abstract: This study provides a comprehensive global scientometric analysis of institutional engagement with Indigenous Knowledge (IK) research from 1992 to 2025. It seeks to chart the transition from traditional preservation to contemporary digital curation and identify key geopolitical and disciplinary shifts. A corpus of 304 peer-reviewed publications was retrieved from Scopus. The study utilized science mapping via VOSviewer and performance metrics through the R-package Bibliometrix to assess longitudinal changes and thematic …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 55–69 Read article
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Intelligent Farming: Integrating AI and IoT for Sustainable Agriculture.
Abstract: This study provides a comprehensive global scientometric analysis of institutional engagement with Indigenous Knowledge (IK) research from 1992 to 2025. It seeks to chart the transition from traditional preservation to contemporary digital curation and identify key geopolitical and disciplinary shifts. A corpus of 304 peer-reviewed publications was retrieved from Scopus. The study utilized science mapping via VOSviewer and performance metrics through the R-package Bibliometrix to assess longitudinal changes and thematic …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 57–62 Read article
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Looking into new ideas in green chemistry
Abstract: Green chemistry has become a revolutionary way to change chemical processes such that they have less of an effect on the environment while still being efficient and cost-effective. This article looks at new developments in green chemistry that go beyond small changes and offer completely new ways to build chemicals that are good for the environment. There is a lot of focus on innovative catalytic systems, sustainable feedstocks, reaction pathways …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 10–18 Read article
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A Novel Genetic Algorithm For Biomolecular Interaction Studies
Abstract: The examination of recent developments in genetic algorithms is covered in this work. The genetic algorithms chosen for analysis are those that the scientific community finds to be of considerable interest. The fresh and demanding researchers will benefit from this review's ability to provide a broader perspective on genetic algorithms. The popular algorithms' benefits and drawbacks, as well as how they are implemented, are presented. In order to aid novice …
Published in Journal of Microelectronics and Solid State Devices · Vol. 9, Issue 2, 2022 · pp. 22–28 Read article
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Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
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Investigation of Discarding Methods for Industrial Plastic Waste
Abstract: Plastic waste management may be a critical issue. Over 300 million metric plenty of plastics are manufacture within the world yearly and about one-half of this volume is for disposal applications, the product that is discarded within a year of their purchase. It's the boon and bane of our times. While there are multiple uses, its waste and thus the resultant pollution clogs up our rivers, oceans, lands and adversely …
Published in Research & Reviews : Journal of Ecology Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 Read article
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A Novel Approach for Design and Optimization of Slot Antenna for WLAN Applications
Abstract: The simulation, and analysis of a micro-strip fed slot antenna array intended for operation in the 2.4 GHz ISM (Industrial, Scientific, and Medical) band, which is widely used for wireless technologies such as Wi-Fi and Bluetooth. A slot antenna is a type of antenna where a slot (cut or gap) is made on a metal surface, and it radiates electromagnetic waves. Utilizing ANSOFT HFSS software, the antenna's performance is optimized, …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 1, 2025 · pp. 1–12 Read article
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Today’s Status of Digital Resources in Medical College Libraries
Abstract: Digital resources have become integral to the advancement of medical education and research, enabling access to current scientific evidence, clinical guidelines, e-books, e-journals, and multimedia learning tools. Medical college libraries worldwide are transitioning from traditional print repositories to hybrid digital knowledge hubs. This transformation is driven by the evolution of Information and Communication Technology (ICT), rising expectations of learners and educators, institutional mandates for evidence-based practice, and the diffusion of …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 85–94 Read article