Applied Sciences
Journals
- Recent Trends in Mathematics 32 articles
- International Journal of Atmosphere 28 articles
- Research & Reviews : Journal of Statistics 181 articles
- Research & Reviews : Journal of Physics 232 articles
- Journal of Advancements in Library Sciences 425 articles
- Research & Reviews: Discrete Mathematical Structures 208 articles
- Emerging Trends in Symmetry 20 articles
Recently published
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Evaluation of the Role of RFID Technology in the Digital Transformation of Modern Libraries
Abstract: The rapid advancement of digital technologies has significantly transformed the functioning of modern libraries. Radio Frequency Identification (RFID) technology has emerged as an important technological solution for automating library operations, improving resource management, strengthening security, and enhancing user services. RFID enables libraries to identify, track, circulate, and manage library resources electronically with greater speed and accuracy. This paper examines the role of RFID technology in the digital transformation of modern …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 3, 2026 · pp. 48–56 Read article
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Central and State Police Training Academy Libraries, Government of India: A Special Study
Abstract: Police academy libraries play a vital role in supporting professional education, training, research, and informed decision-making among police personnel. They provide access to specialized information related to police administration, criminal investigation, law and order, counter-terrorism, security, crime prevention, and related areas. The present study examines the existing organizational and management structure of Police Academy Libraries, identifies major deficiencies, and explores measures for improving their effectiveness in accordance with contemporary information …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 3, 2026 Read article
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Climate Change and the Hydrologic Cycle: Emerging Patterns, Process Alterations, and Implications for Sustainable Water Resources Management
Abstract: Climate change is profoundly altering the global hydrologic cycle, affecting the movement, storage, and quality of water across atmospheric, terrestrial, and aquatic systems. Rising global temperatures, changing precipitation patterns, increasing atmospheric evaporative demand, and intensifying hydroclimatic extremes are reshaping key hydrological processes, including evapotranspiration, soil moisture dynamics, runoff generation, streamflow regimes, groundwater recharge, and water quality. This review synthesizes recent advances in understanding the impacts of climate change on the …
Published in International Journal of Atmosphere · Vol. 3, Issue 2, 2026 · pp. 34–54 Read article
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Influence of Meteorological Parameters on Seasonal Ozone Variation over a Low Latitude Region of Rajasthan
Abstract: The seasonal variation of total column ozone (TCO) in Ajmer, Rajasthan, India, from 2005 to 2023 using meteorological parameters such earth skin temperature (TS) and relative humidity at 2m depth (RH2m) is investigated in this study. This is satellite and instrument-based data taken from GIOVANNI. For the investigation the data is averaged annually and then grouped into four seasons: winter, pre-monsoon, monsoon, and post-monsoon. There is notable seasonal variation in …
Published in International Journal of Atmosphere · Vol. 3, Issue 2, 2026 · pp. 55–63 Read article
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From Documentation to Digital Stewardship: A Bibliometric Analysis of the Technological Transformation in Indigenous Knowledge Management
Abstract: This bibliometric study systematically maps the technological evolution of Indigenous Knowledge Management (IKM) over a 30-year period (1995–2025). It aims to identify the conceptual shifts and emerging technologies defining the transition from passive digital documentation to active algorithmic stewardship. The study utilises a scientometric approach to analyse a corpus of 835 unique documents retrieved from the Scopus database. Scientific-mapping techniques, including thematic evolution and keyword co-occurrence analysis, were performed using …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 3, 2026 Read article
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Anthropogenic Intensification and Emerging Air Pollution Patterns across the Western Himalaya: Multi-Year Spatiotemporal Case Study
Abstract: Anthropogenic intensification is profoundly impacting air quality within vulnerable mountain ecosystems, yet the availability of long-term, high-resolution data from the Western Himalaya is strikingly limited. This study provides a detailed multi-year (2020-2024) spatiotemporal analysis of particulate matter (PM10 and PM2.5), nitrogen oxides (NOₓ), ammonia (NH3), and ozone (O3) concentrations across contrasting anthropogenic settings—specifically, tourist influx zones such as Dharamshala and industrial hotspots like Damtal in Himachal Pradesh, India. Key pollutants …
Published in International Journal of Atmosphere · Vol. 3, Issue 2, 2026 · pp. 7–25 Read article
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Fractional Riemannian Fuzzy C-Means with Time-Series Regularization for Economic Manifold Forecasting
Abstract: A fractional Riemannian fuzzy c-means framework is proposed for uncertain economic forecasting on non-Euclidean data domains. Observations are represented on a Riemannian manifold, cluster centres are intrinsic prototypes, and a latent fuzzy regime signal is regularised by both autoregressive and fractional-memory penalties. The resulting objective couples geometric clustering with time-series consistency, thereby discouraging partitions that are locally plausible but temporally incoherent. Closed-form membership updates, exponential-map centre updates, normal equations for …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 49–55 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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Spectral Intuitionistic Fuzzy Hypergraph Operators and Dominance Kernels for Resilient Discrete Network Design
Abstract: A new discrete-mathematical framework is developed for resilient network design on intuitionistic fuzzy hypergraphs, where uncertainty is explicitly represented through membership, non-membership, and hesitation degrees associated with both vertices and hyperedges. These three components are systematically integrated into an effective incidence operator that captures the underlying uncertain relationships within complex hypergraph structures. Based on this operator, both un-normalised and normalized Laplacian matrices are formulated to characterize the spectral properties and …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 41–48 Read article
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A Mathematical Perspective on Recent Cloud-Computing Trends for Scalable and Secure Social-Media Platforms
Abstract: Cloud computing underpins modern social-media platforms by providing elastic compute, storage, and data-processing pipelines capable of absorbing highly bursty workloads. This paper surveys recent cloud-native trends—serverless and event-driven design, container orchestration, edge/CDN offload, streaming analytics, and privacy-enhancing security controls—and formalizes their impact through a compact mathematical model. We express workload volatility using arrival-rate functions, use queueing-based capacity sizing to derive auto-scaling rules, and formulate an optimization objective that balances cost …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 35–40 Read article
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A Comprehensive Investigation of Bagging-Based Ensemble Methods for Improving Machine Learning Model Robustness
Abstract: Machine learning models such as Decision Trees, Logistic Regression, and K-Nearest Neighbors are widely used for classification tasks due to their simplicity and interpretability. However, these models often suffer from high variance, overfitting, and poor generalization when applied to real-world datasets, particularly those that are small, noisy, or imbalanced, as commonly encountered in healthcare, finance, and cybersecurity applications. To address these limitations, this research proposes a Bagging (Bootstrap Aggregating)-based ensemble …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 24–34 Read article
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Transforming School Library Services in Secondary Education: Status, Challenges, and Future Prospects
Abstract: The purpose of this study was to investigate the status, challenges, and opportunities of school libraryservices in Jalpaiguri District, West Bengal. A survey method was adopted to collect primary data from higher secondary schools located within Jalpaiguri Municipality. A structured questionnaire was administered to librarians or library in-charges of selected schools, and field visits were conducted to observe the existing library infrastructure and services. The study revealed that a significant …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 81–91 Read article
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Agentic AI: Architectures, Types, Capabilities, Mathematical Equations and Governance in the Era of Autonomous Intelligence
Abstract: Agentic Artificial Intelligence (Agentic AI) represents a major advancement in the evolution of intelligent systems by enabling autonomous planning, decision-making, and action execution. Unlike traditional AI models, which are primarily reactive and designed to respond to predefined inputs, Agentic AI systems possess capabilities such as memory, reasoning, goal-oriented planning, tool integration, and dynamic adaptation to changing environments. These characteristics allow them to perform complex, multi-step tasks with minimal human intervention, …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 01–14 Read article
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State of the art of Resource Description and Access and Library Information Science in UAE and Gulf in Global Context
Abstract: The purpose of this study is to investigates the state of the art of Resource Description and Access (RDA) and its implementation in Library and Information Science (LIS) within the United Arab Emirates (UAE) and the Gulf region in a global context. The study discusses the principles, structure, and conceptual foundations of RDA, including its relationship with FRBR, FRAD, and the IFLA Library Reference Model. It further explores the reasons …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 70–80 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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Time Series Forecasting of Electricity Consumption: A Comparative Analysis of ARIMA and SARIMA Models
Abstract: Accurate electricity demand forecasting plays a vital role in energy planning, efficient power system operation, and sustainable resource management. This study conducts a comparative evaluation of the Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA) models using ten years of monthly electricity consumption data collected from a national electricity regulatory authority. The performance of both models is assessed using forecasting accuracy metrics, including Mean Absolute Error …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 43–53 Read article
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Transforming Punjab's Education System: A Critical Analysis of Automation and Artificial Intelligence
Abstract: The rapid advancement of Artificial Intelligence (AI) and automation technologies is transforming education systems across the globe. In Punjab, one of India's leading educational regions, AI-driven tools and automated technologies are increasingly being adopted to improve teaching, learning, assessment, administration, and institutional management. This study critically examines the impact of AI and automation on Punjab's education system by exploring their opportunities, challenges, and future prospects. The research is based on …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 31–42 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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The UGC-CARE Initiative and Its Impact on Indian Research Productivity: A Bibliometric Analysis of Web of Science Publications
Abstract: This bibliometric study evaluates the impact of the UGC CARE initiative on Indian research output in Web of Science (WoS) indexed journals, comparing the pre UGC CARE (2000-2018) and post UGCCARE (2019-2024) periods. The analysis reveals a threefold increase in annual publications, from 42,406 to 139,355, alongside shifts in institutional contributions, subject trends, and journal preferences. Engineering overtook Chemistry as the dominant field, and open access adoption rose to 36.60%. …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 48–54 Read article
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Linear Programming for Profit Optimization in Small-Scale Manufacturing: A Python-Based Simplex and Machine Learning Approach
Abstract: Profit maximization under resource constraints is a classic challenge. Small manufacturers face tight margins and scarce capital every day. This paper tackles that problem using four Python-based methods. The case study is Bintang Bakery in Bandar Lampung, Indonesia. The bakery makes three bread types and faces 18 resource constraints. Data comes from Anggoro et al. Methods tested include LP revised simplex, Differential Evolution, PSO, and ANN Surrogate. General-purpose scipy minimizers …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 01–11 Read article