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254 articles for “Trend analysis”
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Terraform: Accelerating Infrastructure Deployment Through Infrastructsure as Code
Abstract: This paper provides an in-depth analysis of Terraform; an open-source Infrastructure as Code (IaC) tool developed by HashiCorp. It explores how Terraform transforms the way infrastructure is built, managed, and maintained across different cloud platforms and on-premises systems. Through a detailed analysis of its features, workflow, and real-world applications, we demonstrate how Terraform significantly enhances operational efficiency, reduces deployment times, and ensures consistency in infrastructure management. The paper includes code …
Published in Journal of Open Source Developments · Vol. 11, Issue 3, 2024 · pp. 7–15 Read article
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Leveraging Standards and Deep Learning Approaches to Secure Internet of Things (IoT) Devices from Cyber Attack
Abstract: The widespread adoption of Internet of Things (IoT) devices between 2019 and 2024 has significantly grows in various sectors in Japan, including healthcare, manufacturing, and the development of smart cities. Although this growth offers many advantages, it also makes these devices more vulnerable to cyber threats. High-profile security breaches in Japan have sparked discussions about the requirement for enhanced security measures to protect the rapidly evolving IoT technologies. This study …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Integration of GIS and AI in Urban Planning and Disaster Management
Abstract: The rapid pace of urbanization, combined with the increasing frequency and intensity of natural disasters, necessitates the development of innovative solutions for urban planning and disaster management. Geographic information systems (GIS) and artificial intelligence (AI) have emerged as transformative technologies capable of addressing these challenges. GIS provides a robust framework for spatial data analysis, while AI enhances decision-making through predictive analytics and automation. This paper explores the integration of GIS …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 1, 2025 · pp. 20–36 Read article
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A Clinical Study on Comparing the Efficacy of Areca Catechu Mother Tincture with Areca Tea in Control of Blood Sugar Level Among Healthy Individuals
Abstract: Areca tea of Nivedan Nimpe is trending among diabetic group as preventive and curative diet. Areca Catechu is one of the Indian homoeopathic drugs. There is no authentic literature source to indicate the action of Areca against diabetes, so authors have investigated immediate action on blood sugar level among healthy individuals. Selection of volunteers was done on the basis of inclusion and exclusion criteria. Volunteers were randomly divided into three …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy Read article
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Adolescent’s Adjustment to Family Dynamics in Delhi: A Comparative Analysis by Gender
Abstract: This study examined adolescents' adjustment to their family environments, drawing on a sample of 200 participants (100 boys and 100 girls), aged 16 to 18 years, selected through convenience sampling from the Delhi region. Data was collected using the "Family Environment Inventory" and the "Adjustment Inventory for School Students" (1993). Statistical analysis was performed using SPSS 26, applying tools such as mean, standard deviation (SD), t-tests, and Pearson’s Product Moment …
Published in International Journal of Children · Vol. 2, Issue 1, 2025 · pp. 20–26 Read article
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Immunological Mechanisms Underlying Autoimmune Disorders: Recent Advances and Therapeutic Implications
Abstract: A diverse range of illnesses known as autoimmune disorders are typified by dysregulated immune responses against self-antigens, which result in tissue damage and persistent inflammation. Understanding the genetic, epigenetic, and environmental variables that contribute to autoimmune pathogenesis has advanced significantly during the last ten years. Current disease models have been transformed by new understandings of immunological tolerance mechanisms such as the functions of regulatory T cells, cytokine networks, and the …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 1, 2026 · pp. 21–25 Read article
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Modeling the Novel Coronavirus Disease (COVID-19) as Hidden Markov Chains
Abstract: The Hidden Markov Model has over the years been an appropriate method for modeling diseases such as HIV AIDS, heart failure, and so on. With the ongoing pandemic affecting Nigeria by being responsible for 2,745 death cases out of 207,616 confirmed cases as of October 10, 2021, the need to study an important parameter of COVID-19, the case fatality rate by building a model and estimating the case fatality rate …
Published in Research & Reviews : Journal of Statistics Read article
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Comparative Assessment of Polymers and Composites for Solar Panels: Fundamentals, Performance Metrics, Manufacturing, and Sustainability
Abstract: This paper presents a comprehensive review of the main types of Photo Voltaic polymers and composites such as crystalline silicon (both mono- and poly-Si), thin-film tech (CdTe, CIGS, a-Si), perovskites, and organic/dye-sensitized cells and analyses the parameters such as efficiency, fill factor, open-circuit voltage, temperature response, and degradation. The analysis focusses on polymers and composites and manufacturing techniques like vapor deposition, roll-to-roll printing, and both solution and vapor techniques for …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 120–130 Read article
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Emerging Role of Drone Technologies in Environmental Research: Trends, Applications, and Future Directions
Abstract: Unmanned aerial vehicles (UAVs), commonly called drones, have rapidly transformed environmental research and management over the past decade. Their flexibility, improving sensor payloads, and ability to collect high-resolution spatial and temporal data make them powerful tools across disciplines — from biodiversity monitoring and precision agriculture to water quality assessment and disaster response. UAVs bridge the gap between ground-based surveys and satellite remote sensing by offering near-real-time, fine-scale data acquisition that …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 34–42 Read article
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Analyzing Flood Return Levels Using the Gumbel Distribution in Niamey, Niger
Abstract: Floods are among the most severe natural disasters, capable of causing significant damage to both the environment and society. This research utilizes the Gumbel distribution to analyze flood return levels by examining historical data from Niamey, Niger. The study focuses on river heights, flow rates, and precipitation patterns to understand the dynamics of flooding in the region. By analyzing these parameters, the research aims to identify severe weather trends and …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 1–12 Read article
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Study of the Rheological, Physical-Mechanical Properties of Disposed Polypropylene and Polyvinyl Chloride Binary Mixtures
Abstract: In this study, various compositions were prepared by modifying the decommissioned polypropylene (PP)-based polymer waste with polyvinyl chloride (PVC) in different proportions for the purpose of modification, and the flow index and physical and mechanical properties of their alloys were studied. As a result of the research, the following results were obtained. PP/PVC binary compositions were prepared and samples were obtained based on 6 different proportions by changing the amount …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 Read article
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House Price Estimation Using Linear Regression: A Machine Learning Perspective
Abstract: House price prediction plays a crucial role in the real estate industry, helping buyers, sellers, and investors make well-informed decisions. Accurate estimation of property values enables stakeholders to assess market trends, plan investments, and minimize financial risks. This study focuses on the application of linear regression, a fundamental and widely used machine learning algorithm, to predict house prices based on multiple influencing factors. These factors include location, property size, number …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 Read article
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Dr. Somenath Dutta, Discoverer of Micro-RNA (MiRNA) Therapeutic to Prevent Harmful Zika Virus for Liver Cancer: A Scientometric Portrait
Abstract: Dr. Somenath Dutta allies Rahul is a global recognized scientist for his outstanding recent discovery of “miRNA therapeutics for the Zika virus” at the age of 26 years, which can be cured Liver Cancer and allied health problems due to Zika virus disease. This study covers his 12 publications in variety of forms including 07 journal articles (59%), 03 conference papers (25%), 01 dissertation, and 01-chapter paper during 2019-2024. All …
Published in International Journal of Virus Studies · Vol. 2, Issue 2, 2025 · pp. 22–36 Read article
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Comparing Results of a Study on Mathematics Instruction in English at Diploma College in Solapur District
Abstract: Study programmes at the Diploma College in Solapur include mathematics courses, which are instructed in English. Comparing the educational outcomes in the Mathematics study course with the English language of instruction is the primary objective of the paper. We concentrated on the students' proficiency in solving specific linear algebra and mathematical analysis problems. The first-year students in the Diploma study programme in Diploma College, Solapur made up the research sample. …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 12–18 Read article
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Adaptive Hospitality: Designing Modular Hotel Rooms for Multi-Functional Use in Urban Micro Hotels
Abstract: This research investigates the concept of adaptive hospitality through the lens of modular design, focusing on the creation of multi-functional hotel rooms in urban micro-hotel settings. With the rise in urban populations and increasing scarcity of land, hospitality design must adopt innovative spatial strategies that prioritize flexibility, efficiency, and user experience The research explores how modular and transformable design solutions can respond to the spatial constraints of dense urban environments. …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 39–51 Read article
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A Review on AI and Machine Learning for Predictive Maintenance and FDD in RAC Systems
Abstract: The paper reviews the existing AI/ML methods first in the general context of predictive maintenance and FDD of RAC systems, then specifically focusing on granular cooling appliances. Perspectives and insights are provided on the reasons why potentially valuable models do not make it into practice more often, and where future research and development should be headed. New emerging topics for decision support systems to include domain knowledge and physics-based modeling …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 15–25 Read article
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Effectiveness of Online Advertising in Reaching Target Audiences
Abstract: This study examines the effectiveness of online advertising in reaching target audiences. With the rapid growth of digital platforms, understanding the efficacy of online advertising has become paramount for marketers. Utilizing a combination of quantitative analysis and case studies, this research investigates the various strategies and channels employed in online advertising to reach specific demographic segments. By analyzing metrics such as click-through rates, conversion rates, and audience engagement, this study …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 2, 2024 · pp. 8–12 Read article
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A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article
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Correlation Analysis of Gastrocnemius Tightness and Heel Pain Severity: A Study on Plantar Fasciitis
Abstract: Background: Plantar fasciitis, a common source of heel pain, is frequently linked to tightness in the gastrocnemius (GCN) muscle. This study seeks to examine the relationship between GCN tightness and the severity of heel pain in plantar fasciitis patients over time, investigating the potential role of muscle flexibility in alleviating pain. Methods: A prospective cohort study was conducted with 74 patients aged 25–65 diagnosed with P. fasciitis at Santosh Hospital, …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 1, 2024 · pp. 57–64 Read article
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The Role of DevOps in Financial Network Security
Abstract: This study provides a comprehensive analysis of the significance of Development and Operations (DevOps) in ensuring the security of financial networks. With an ever-increasing need for speed, efficiency, and quality in the Fintech sector, integrating DevOps methodologies into operational workflow has become critical. Adopting DevOps practices not only expedites the software delivery cycle, but also ensures comprehensive security. The study explores the adoption of Secure DevOps strategies, the importance of …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 21–28 Read article