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74 articles for “Clustering”
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Sustainable Rural Development through Geospatial Technology – A Case of Keonjhar District of Odisha
Abstract: The 2030 Agenda for Sustainable Development emphasizes that sustainability encompasses three dimensions: economic, social, and environmental. Monitoring society's impact on natural resources involves identifying activities that affect ecosystem processes. Geospatial technology plays a key role in detecting community-level development projects and evaluating sustainable development outcomes at the district level. The main objective of the study is to show the impact of implementation of SDGs on the development of community livelihood …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 3, 2024 · pp. 30–46 Read article
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Influence of Tib2 Wt. % on the Microstructural and Mechanical Properties of In-Situ Processed Stir-Cast Metal Matrix Composite of Al-6061
Abstract: Currently, there is an increasing trend in the automotive and aerospace industries towards the adoption of lighter and stronger materials to reduce weight and enhance fuel efficiency. Metal matrix composites must be developed in order to increase the overall performance of automobiles and aircraft as a result of this transition. Among the various composite materials employed, Aluminium Matrix Composites (AMCs) are frequently utilised to meet stringent industrial requirements. The purpose …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 655–661 Read article
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article
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Exploring the Traditional and Modern Uses of Calotropis gigantea: A Review
Abstract: Calotropis gigantea, often known as C. gigantea or Sweta Arka, is indigenous to Bangladesh, India, and Thailand in South and Southeast Asia. It has therapeutic purposes. This plant features clusters of white or lavender waxy blossoms, an oval-shaped, light green leaf, and a milky stem. The beneficial properties of C. gigantea, which is commonly used in traditional medicine, especially in India, have been validated by recent scientific findings. Among their …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 1, 2025 · pp. 33–41 Read article
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Big Data, Big Impact: The Role of Analytics in Modern Business
Abstract: In modern business, “Big Data” signifies the vast amount of data collected from various sources, and “Big Data Analytics” refers to the process of analyzing this data to extract valuable insights, enabling companies to make data-driven decisions, optimize operations, better understand customers, and ultimately gain a competitive edge by identifying trends, patterns, and opportunities that might otherwise be missed. This study analyzes large datasets, by which businesses can gain deeper …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 01–11 Read article
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Comparative Study of AI-Driven Fashion Trend Prediction System Using AI and ML: A Review
Abstract: To overcome the challenges in fashion trend forecasting, researchers have introduced several advanced and data-driven approaches. One such method uses a long short-term memory (LSTM) model combined with an encoder-decoder architecture to extract meaningful fashion content and recognize styles from product images. This model achieves higher accuracy in predicting upcoming fashion trends by incorporating varying price intervals and has shown impressive results when evaluated on the Amazon fashion dataset. Another …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 35–41 Read article
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Smart Manufacturing with Advanced Polymer Composites: Enabling Industry 4.0 Readiness in Indian MSMEs
Abstract: Thanks to Industry 4.0, manufacturing is now undergoing major changes that highlight using technology, machines, and sustainable solutions. Yet, very few Indian MSMEs can use these technologies due to obstacles like a lack of resources and outdated systems. This research looks at how combining Smart Manufacturing with Advanced Polymer Composites can improve Indian MSMEs’ preparations for Industry 4.0. When APCs are combined with cyber-physical systems, IoT, machine learning, and additive …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 194–216 Read article
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Optimizing Sampling Techniques Using Fuzzy Set Theory: A Comprehensive Approach
Abstract: Sampling is a critical process in statistics, used to estimate population parameters without needing to examine the entire population. Traditional sampling methods, such as simple random sampling, stratified sampling, and cluster sampling, face limitations when applied to complex or heterogeneous populations with imprecise boundaries. These methods often fail to accurately represent populations with overlapping characteristics or missing data, resulting in sampling bias and reduced accuracy. To address these challenges, this …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 29–43 Read article
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Composite Fabrication by Stir-Cast for Al C355.0 With Particulates Hematite Reinforcements at Different Weight Percentages in Copper Chills with and Without Water Circulation for Mechanical and Fatigue Performance
Abstract: This study investigates the fabrication of aluminum matrix composites using the stir casting method to analyze the mechanical characterization and fatigue behavior of Al C355.0 composites reinforced with varying weight percentages of hematite particulates. The hematite content was systematically adjusted from 0 wt. % to 12 wt. % in 3 wt. % increments, with the presence of constituent elements confirmed through Energy Dispersive Spectroscopy (EDS). The incorporation of hematite reinforcement …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 324–336 Read article
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Infection Control awareness among Nursing students: Descriptive Insights from Ongoing Clinical Orientations in Odisha
Abstract: Background: Effective infection control practices are critical in preventing healthcare-associated infections (HAIs). Aim: This study aimed to assess the awareness regarding effective infection control measures among student nurses undertaking their initial clinical orientations at Hospitals. Method: The study accepted 64 respondents from II-year BSc Nursing, sampled in clusters from selected Hospitals, Odisha. Results: The students yielded a mean awareness score of 0.69, categorized as Good. A comparison revealed that female …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 15–20 Read article
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Revitalizing Urban Canyons Through Innovative Thermal Strategies
Abstract: Urban canyons, environments very densely made up of tall buildings clustered on narrow streets, are treacherous when it comes to considerable heat retention and greatly increase wind speeds. The resulting conditions fuel the Urban Heat Island effect. That means urban canyons feel very hot and this of course harms both comfort and health of those who dwell in them. This research tackles the serious issue of discomfort due to heat …
Published in International Journal of Urban Design and Development · Vol. 3, Issue 2, 2025 · pp. 1–11 Read article
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Prevalence and Risk Factors of Neglected Tropical Diseases Among Women and Children in Rural Liberia: A Regional Perspective
Abstract: Neglected Tropical Diseases (NTDs) remain a critical public health challenge in Liberia, disproportionately affecting women and children in rural regions due to systemic inequities in water, sanitation, and healthcare access. This cross-sectional study assessed the prevalence and risk factors of NTDs among 1,000 participants (600 children above 15 years and 400 women aged 15–49) in rural Liberia using stratified and cluster sampling. Laboratory diagnostics, including Kato-Katz stool analysis, urine filtration, …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 2, 2025 · pp. 1–7 Read article
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Optical Image Sensing and Analysis of Iron Ore Pellets: A Machine Learning Approach
Abstract: The present work is aimed to improve quality control in steel production using SEM imaging and machine learning. High-resolution SEM images of iron ore pellets, primarily composed of hematite and magnetite, are analyzed to understand their microstructural features, which significantly impact pellet performance during reduction processes. Traditional microstructure analysis is manual, time- consuming, and prone to inconsistencies. This study proposes an automated approach using K-Means Clustering, Canny Edge Detection, DBSCAN, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 7–18 Read article
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Development of Polymer–Micro-Aluminum Composites for Lightweight Engineering Applications
Abstract: This research focuses on the systematic development of polymer–micro aluminum composites, with polypropylene (PP) and epoxy selected as representative polymer matrices. Micro aluminum fillers in the range of 5–25 wt.% were incorporated through melt blending (PP) and casting (epoxy), and the resulting composites were evaluated in terms of mechanical performance, microstructural integrity, and crystalline characteristics. Tensile strength of the composites increased significantly, from 31 MPa in neat PP to 44 …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1–12 Read article
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Kinetic Analysis of Structural Acrylic Curing by DSC: Polymerization and Phase Transition Optimization
Abstract: Differential Scanning Calorimetry (DSC) was used to analyse the thermal properties and curing behaviour of a structural acrylic adhesive at heating rates of 5, 10, and 15 °C/min. The study focused on the curing kinetics, glass transition temperature (Tg), specific rate (k), and activation energy (Ea) of the polymerization reaction. The material is tested according to ASTM 3418 standards. Results showed that increasing the heating rate shifted the endothermic curing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 726–733 Read article
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Modeling Galaxy Formation in a Hierarchical Universe: A Fiducial Approach and Comparison with Observational Data
Abstract: We have developed a detailed model to understand how galaxies form in the framework of hierarchical theories of structure formation. Our model accounts for key processes like the formation and merging of dark matter halos, the heating and cooling of gas inside these halos, the regulation of star formation driven by energy from evolving stars and supernovae, galaxy mergers, and the changes in star populations over time. This approach is …
Published in International Journal of Universe · Vol. 1, Issue 1, 2025 · pp. 30–36 Read article
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The Characteristics of Square-Well Fluid Transport Coefficients
Abstract: The transport coefficients of the hard-sphere system were first computed by Alder, providing foundational insight into the microscopic origins of viscosity, diffusion, and thermal conductivity in simple fluids. Building on this framework, Evans derived a generalized Langevin equation to describe the time evolution of dynamical variables, incorporating memory effects and non-Markovian behavior in molecular motion. These theoretical developments established a bridge between microscopic interactions and macroscopic transport properties. When an …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 3, 2025 · pp. 33–44 Read article
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AI-Driven DevSecOps Automation: An Intelligent Framework for Continuous Cloud Security and Regulatory Compliance
Abstract: Cloud-native systems, microservices, and infrastructure-as-code (IaC)–oriented CI/CD pipelines have accelerated the pace of software delivery, yet they have also introduced new layers of operational complexity and widened the overall security exposure of modern applications. Traditional DevSecOps workflows still depend heavily on isolated scanners, manual reviews, and static governance processes that are not well-suited for the elasticity and constant change characteristic of multi-cloud environments. To address these limitations, this paper introduces …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 01–15 Read article
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Using Machine Learning to Guess Photochemical Reaction Pathways
Abstract: Photochemical reactions are crucial to many activities in the fields of energy conversion, environmental cleanup, and synthetic chemistry. However, predicting their causes and results effectively is still very hard since they entail excited electronic states, nonadiabatic transitions, and complicated potential energy surfaces. Machine learning (ML) has been a powerful technique to go along with classic quantum chemistry methods in the last few years. It offers better prediction capability and lower …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 01–12 Read article
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Premenstrual Syndrome (PMS): Pathophysiology, Diagnosis and Treatment Approaches
Abstract: Premenstrual Syndrome (PMS) refers to physical and psychological symptoms that occur during the luteal phase of the menstrual cycle and are clinically severe, causing significant anguish and impairment in functioning. It is a cluster of symptoms that many women experience just before the onset of their menstrual cycle and after ovulation since estrogen and progesterone levels start to sharply decline if you are not pregnant. After a woman's menstruation begins, …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 2, 2025 Read article