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1785 articles for “R S Data analysis” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Assessment of Reservoir Storage Capacity and Silt Deposition Using Advanced Instruments: A Case Study
Abstract: Reservoirs on the upstream side of sediment-laden river dams fill with sediment over time, lowering their storage capacity. This research focuses on advanced instrumentation techniques used to analyse storage capacity and estimate the quantity of sedimentation deposited in the reservoir at Kadana Dam, Kadana Village, Mahisagar District, Gujarat, India. During the research investigations, a multi-frequency acoustic system with frequencies of around 33 KHz and 210 KHz was employed to assess …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 3, 2021 · pp. 27–37 Read article
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Examining the Effectiveness of Ventilator Bundles in Preventing Ventilator-Associated Pneumonia in Mechanical Ventilation Patients at Selected Hospitals in Nashik
Abstract: The objective of this study was to assess how the application of a ventilator bundle can effectively prevent cases of ventilator-associated pneumonia (VAP) in patients undergoing mechanical ventilation in designated hospitals in Nashik. The study adopted a quantitative evaluative approach, implementing a genuine experimental control group design. A total of 40 patients on mechanical ventilators were chosen, with 20 patients each assigned to the experimental and control groups through non-probability …
Published in Research and Reviews : Journal of Surgery · Vol. 12, Issue 2, 2023 Read article
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Life Cycle Assessment (LCA): A Tool for Sustainable Development and Environmental Management of Products
Abstract: Life cycle assessment (LCA) is a crucial technique for clearly understanding how much room there is for product improvement in a given good or service. Because of its high cost and application in eco-design, supply chain management, green buying, sustainable investing, and other relevant activities, manual data engineering and analysis processes. Traditional LCA methodologies and technology may need more scalability regarding substantial product portfolios and expanding reporting requirements. The Sustainability …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 2, 2023 · pp. 16–25 Read article
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Methods of Theoretical Statistics Analyses of Parametric and Non-Parametric Tests
Abstract: The statistical analysis will give significance to irrelevant data, breathing life into earlier lifeless data. The evaluation of sample, statistical inference, and numerical errors are all discussed. Only when appropriate statistical tests are used will the results and inferences be precise. Finally, a list of parametric and non-parametric data analysis tests is provided. The article gives a brief overview of the variables, as well as an understanding of quantitative and …
Published in Research & Reviews : Journal of Statistics · Vol. 11, Issue 1, 2022 · pp. 13–15 Read article
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A Critical Review of the Limitations of the Arithmetic Mean and the Robustness of the Median in Statistical Analysis
Abstract: Arithmetic mean is an extremely popular measure of central tendency used in statistical analyses, primarily because it is so easy to calculate and has many positive mathematical characteristics. However, when there are outliers, skewed distributions or heterogeneous spread of data, the reliability of the arithmetic mean diminishes greatly. This paper includes a critical review of the limitations of the arithmetic mean and an assessment of the robustness of the median …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 · pp. 21–29 Read article
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Integrating Network Pharmacology And Molecular Docking To Investigate The Possibility Of Rutin Against Gout
Abstract: Objective: Gout is an arthritic condition resulting from the deposition of monosodium urate crystals in and around the joints. Rutin, a bioflavanoid or a plant pigment that is mainly found in vegetables and fruits.It is widely known for its anti-inflammatory and antioxidant activity.Hence this research paper proposes the use of an integrated approach of network pharmacology and molecular docking to investigate the potential of Rutin as a treatment option for …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 03, 2022 · pp. 14–27 Read article
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Temperature Characteristics of Semi-Transparent Photovoltaic Module in a ventilated double pane window system
Abstract: This work presents the analysis of surface temperature characteristics of Semi-Transparent Solar Photovoltaic (STSPV) module integrated double pane window systems. The four systems are investigated with three types of air ventilation arrangements and a non-ventilation provision. The whole building simulation software EnrgyPlus and WINDOW 7.3 have been used to generate and analyze the required data. The focal points of the analysis include reduction in SPV module temperature and maintenance of …
Published in Recent Trends in Civil Engineering & Technology · Vol. 12, Issue 1, 2022 · pp. 1–10 Read article
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Reliability Analysis of a Dragline for Productivity Improvement – A Case Study
Abstract: Productivity of dragline is affected by its availability, reliability, and maintainability. The failure of components of dragline leads to the failure of dragline system. Effective maintenance planning can prevent these unwanted failures in the capital-intensive draglines and can improve its productivity. This paper discusses the possible causes for failure of various components of dragline and possible ways for improvement of performance of dragline so as to reduce its downtime. In …
Published in Journal of Materials & Metallurgical Engineering · Vol. 8, Issue 1, 2018 · pp. 62–69 Read article
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Experimental Analysis and Validation of Cellulose Fibre Insulation Structures Considering Thermal Properties
Abstract: Cellulose fibre insulation structures made from used newspaper can be installed in attics, filling gaps between doors and windows. Many researchers focused on loose-filled cellulose fibre insulation. This study investigates the thermal conductivity, R- Value and thermal transmittance of cellulose fibre insulation manufactured from recycled cellulose materials with densities ranging from 280 to 360 kg / m³ and specimen thicknesses of 10 – 30 mm. A total of 25 structures …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Real-time DDoS Attack Prediction in SDN Environments Using Machine Learning
Abstract: The ever-growing reliance on sdn-based services necessitates robust security measures against Distributed Denial-of-Service (DDoS) attacks that threaten service availability. This project investigates the development of a real-time prediction system for DDoS attacks in sdn environments, leveraging the power of machine learning. The proposed system employs a Decision Tree classification algorithm implemented in Python. To ensure accurate attack identification, the system meticulously addresses data preprocessing challenges inherent in network traffic datasets. …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 16–27 Read article
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Utilization of Coal, Natural Gas and Water for Sustainable Power Generation in Nigeria: Challenges, Prospects and Way Forward
Abstract: Energy mix development is critical for national economic growth, optimal performance of industries and sustainable development in most nations of the world. This study examines the extent of the utilization of coal, natural gas and water for sustainable power generation and provision of competitive energy in Nigeria. Secondary data analysis was used in this research to analyze the data collected from the various literatures and documentary archives. Challenges facing this …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 12, Issue 1, 2022 · pp. 7–13 Read article
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Feature Selection Using Nature-Inspired Metaheuristics: A Brief Study
Abstract: In recent decades, feature selection (FS) has attracted a lot of attention. The rapid advancement of data and computer science has led to an increase in the number of studies being conducted. The preprocessing method of feature selection plays a significant role in increasing the effectiveness of data mining and analysis across significant real-world applications. To summarize the most recent studies, this research work offers a quick assessment on feature …
Published in Current Trends in Information Technology · Vol. 13, Issue 1, 2023 · pp. 12–21 Read article
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Monitoring and Modeling of Atmospheric Change Indices In Parts of Imo State Using GIS, MATLAB and ANN
Abstract: Geographic Information System (GIS) and Matrix Laboratory (MATLAB) Models were used to study air quality in parts of Imo State. Primary data were obtained by conducting relevant analysis using standard instrumental methods on open-air rainwater samples collected in the dry and the rainy seasons for two consecutive years. GIS showed that the pollutants were present throughout the year. Artificial Neural Network (ANN) of MATLAB 2015 was used to represent data …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 1, 2024 · pp. 25–74 Read article
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Supply Chain Optimization Using Big Data
Abstract: In the references to add productivity and short the appendences, and increase customer value, supply chain optimization is a very crucial part of contemporary business operations. Supply chain management has been transformed by the emergence of big data, which can provide analysis and insight from many different sources of information. This content explores the importance of using big data analytics to improve the delivery process. Thanks to the evolution of …
Published in Journal of Production Research & Management · Vol. 14, Issue 2, 2024 · pp. 19–25 Read article
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Flood Resilient Land Use Planning for Gurugram
Abstract: Floods have become a common phenomenon in the fast urbanizing world as a consequence of accumulation of large amount of water in a particular area, either as a result of direct rainfall exceeding the capacity of drainage systems or a spill of enormous amounts of water from water bodies. Urbanization develops densely populous urban areas where the inhabitants suffer as a result of floods due to the reasons mentioned above, …
Published in Journal of Water Resource Engineering and Management · Vol. 9, Issue 3, 2022 · pp. 1–9 Read article
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Preliminary Analytical Study of Parangipattai Rasayanam (PRM) – A Siddha Polyherbal Formulation
Abstract: Parangipattai Rasayanam is a purely herbal product used commonly for the management of Vaatha diseases (anti-inflammatory and analgesic activity), skin diseases, etc. The Parangipattai Rasayanam is an orally administrable pharmaceutical drug which is a combination of 28 ingredients namely Parangipattai (Smilax china, Linn), Kodiveli (Plumbago zeylanica), Amukaraa (Withania somnifera, Linn), Milagu (Piper nigrum, Linn), Thipili (Piper longum, Linn), Omam (Carum capticum benth and Hook), Kurosaaniomam (Hyoscyamus niger, Linn), etc. Lack …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 1, Issue 1, 2014 · pp. 38–40 Read article
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A Comparative Study of SentiWordNet and Other Lexicons for Social Media Sentiment Analysis
Abstract: Another name for opinion mining is "Sentiment Analysis" (SA). Sentiment Analysis is a text classification algorithm that consistently advances the topic of study. Sentiment Analysis, or categorizing opinions into positive or negative categories, is indeed the primary goal of information extraction. Both information producers and consumers face significant challenges because of the explosion of information available online. For a business to be successful, it is crucial to comprehend the thoughts, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 10, Issue 2, 2023 · pp. 24–29 Read article
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Botnet Beacon: Unveiling Covert Networks with Advanced AI Detection Strategies
Abstract: Securing information technology systems is paramount in today's interconnected world, where the reliability and security of networks and applications are of utmost importance. In this context, the development of a Botnet Detection System (BDS) that harnesses the power of AI classification algorithms becomes a critical endeavor. The primary objective of this work is to construct a comprehensive framework for a BDS that can efficiently gather network data and subject it …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 2, 2024 · pp. 26–32 Read article
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Indirect Treatment Comparison in Meta-Analysis Using Three Methods for Rheumatoid Arthritis
Abstract: Background: The data were extracted from the comparative effectiveness review (CER) on pharmacological treatments for rheumatoid arthritis (RA) developed by the International University of North Carolina Evidence Based Practice Center (UNC EPC). The included studies enrolled patients with active RA despite oral disease-modifying antirheumatic drugs (DMARD) therapy. The outcome measures of choice were American College of Rheumatology (ACR) 20/50/70 response rates.Objective: To compare and find the best treatment for RA …
Published in Research and Reviews : Journal of Computational Biology · Vol. 7, Issue 1, 2018 · pp. 22–27 Read article
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Artificial Intelligence for Better Climate Governance
Abstract: AbstractThe world’s attention today is on climate change that is no more just a perceived risk. Climate change is already impacting livelihoods; and by impacting the vulnerable regions and the communities more than others, may also be aggravating economic and social inequalities. Effective climate governance, therefore, requires better data collation and analysis thereof. Early warning signals of the impending change must not only be received but also distributed through strong …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 37–43 Read article