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1781 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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Test methodology for validating drop arm of a tractor mechanical steering system under bi-axial loading
Abstract: The drop arm is a part of tractor mechanical steering system which connects the steering gearbox to drag link. The function of the drop arm is to convert the rotary motion of the steering gear shaft into linear motion of the drag link. During vehicle testing in the field drop arm failure was observed, which was not captured in the component level testing. Typically drop arm durability test is carried …
Published in Trends in Mechanical Engineering & Technology · Vol. 13, Issue 2, 2023 · pp. 74–81 Read article
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Ground Water Contamination in Shallow Aquifer of Punjab State With Special Reference to Uranium
Abstract: In Punjab State ground water is in general suitable for drinking uses except at few places in the southern and south western parts where it is not suitable due to high EC or high fluoride or nitrate or combination of all. Almost all ground waters are suitable for irrigation for growing crops like wheat, mustard, rice, barley and maize etc. However, at few places where EC of ground water goes …
Published in Research & Reviews : Journal of Ecology · Vol. 10, Issue 4, 2021 · pp. 13–24 Read article
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Kumkuma Nasya for Migraine: Randomized Double-blind Study with an Insight into Vatavriddhi and Caloric Values
Abstract: Introduction: Ardhavbhedaka Roga of Ayurveda can be correlated with migraine. Exaggeration of Vata plays the most important role in the pathogenesis of pain. We used a model of low caloric values, as it is suitable and conclusive for the assessment of Vatavriddhi. As per Sharangadhar Samhita, Kumkuma (saffron) Nasya (nasal administration) is said to be effective in Ardhavabhedaka (migraine), owing to the exaggerated of Vata and Rakta. Aim: Therefore, this …
Published in Research & Reviews : Journal of Herbal Science · Vol. 11, Issue 1, 2022 · pp. 36–44 Read article
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Review Paper on Platform for Big Data Analytics as a Service with Stock Market Prediction and Analysis
Abstract: Petabyte-scale data is referred to as big data. The sum of the data in this quantity, which includes audio files, image files, and many more. Due to the unstructured nature of the data, it is challenging to evaluate the information that is gathered from it. As a result of social networking and cloud computing, data has significantly increased. It is therefore difficult to assess, process, and store. Big data processing …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 1, 2023 · pp. 1–5 Read article
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Nutritional Assessment of Rural Farmers in Ahmadabad District of Gujarat State—Implication for Health and Well-being
Abstract: Nutrition is an important factorcontributing to health and functional ability. Malnutrition is more common in geriatric population but it is underestimated.Nutritional status is an important component of nutritional care and state of health of any individual. This study examined the nutritional status of rural farmers of Ahmadabad district in Gujarat State using dietary assessment method and body mass index (BMI). The major objectives of the study were to determine the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 3, 2018 · pp. 57s–63s Read article
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A Bibliometric Analysis of Research Publications of Indian Institute of Science Education and Research, Thiruvananthapuram
Abstract: AbstractBibliometric analysis is presently used for evaluating the qualitative and quantitative interest in a very specific field through the analysis of publications. This paper brings-out the bibliometric analysis result of research publications of Indian Institute of Science Education and Research (IISER), Thiruvananthapuram, for the period 2008-2013. During the period of study, it analyzed 157 research publications from the 76 journals. Further, it examines year-wise publications, journal wise distributions, document wise …
Published in Journal of Advancements in Library Sciences · Vol. 2, Issue 1, 2015 · pp. 28–35 Read article
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IoT-Based Adaptive Irrigation Solution for Smart Farming
Abstract: Facing escalating global challenges such as water scarcity and unpredictable weather conditions, precision farming emerges as a crucial solution for enhancing agricultural productivity and sustainability. This paper introduces a smart irrigation system which employs IoT-based technology, integrating sensors and a designed to enhance water efficiency and boost agricultural productivity. The system leverages live data related to soil moisture and temperature, cloud cover, and precipitation, coupled with a cloud-based infrastructure using …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 17–24 Read article
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Strategies for Flood Mitigation
Abstract: The world has always experienced change. Water-too much or too little is the most common cause of migration and a city's downfall. The notable and significant distinction right now is that we are seeing it in real-time for the first time in human history. We contributed to the dangers that were produced, and we contributed to the remedies that will influence the pace and scope of change and disruption. We …
Published in International Journal of Rural and Regional Development · Vol. 1, Issue 1, 2023 · pp. 1–9 Read article
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Effect of Repetitive Transcranial Magnetic Stimulation (rTMS) on Depression and Perception of Burden of a Couple with a Cerebral Palsy Child
Abstract: Aim: To determine effect of rTMS on depression on a couple with Cerebral Palsy Child. Purpose: Parenting children with neurodevelopmental disorder is related to a higher rate of depression and anxiety, increased stress, and reduced quality of life for parents and adversely affects functioning of the parents and also hampers the quality of care being provided to the CP child. Studies have shown positive effect of rTMS on depression but …
Published in Research and Reviews : Journal of Surgery · Vol. 11, Issue 3, 2022 · pp. 28–35 Read article
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Big Data Dimensionality Reduction Technique with Deep Autoencoder
Abstract: Dimensionality reduction refers to the act of narrowing the focus from an abundance of potential variables to a more manageable set. Google created the open-source Flutter framework for creating mobile apps. The issue of high-dimensional data hindered the system's effectiveness in terms of providing correct findings (the quantity of false-positive, negative, true-positive, and negative outcomes). The process of solving a classification problem, carrying out a precise visualization, and transmitting vast …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 1–13 Read article
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Assess the Prevalence of Depression among Nursing Students in a Selected College
Abstract: Nursing students, in particular, pass through many stressful situations during various stages of their academic course. In view to this, a descriptive study was undertaken to assess the prevalence of depression among nursing students. The objective of the study was to assess the prevalence of depression among nursing students and to find out the association between the prevalence of depression among college students with their selected demographic variables. Descriptive design …
Published in Journal of Nursing Science & Practice · Vol. 8, Issue 1, 2018 · pp. 26–29 Read article
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Data Science: Domains, Process, Roles and Responsibilities
Abstract: The study of information retrieval and analysis, or data science, tries to identify information and correspondence hidden in raw, defined information. To extract useful information from data, data science therefore combines programming expertise with understanding of mathematics and statistics. In the field of data science, machine learning algorithms are employed to handle various types of input, including numerical, textual, visual, and auditory data. Therefore, algorithms perform certain tasks related to …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 2, 2023 · pp. 29–35 Read article
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Robust Regression Models for Identifying Outliers in Medical Data
Abstract: Before applying any multivariate statistical analysis, it is important to determine whether outliers are present in the dataset. In regression analysis, the presence of outliers in the dataset can strongly mislead the classical least squares estimator and lead to unreliable results. In this paper, we prove the minimum covariance determinant estimator, which is commonly applied in a robust statistic to estimate location parameters and multivariate scales. These ideas can be …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 69s–76s Read article
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Analysis of Color and Particulate Depolarization Ratio Profiles for Aerosols using CALIPSO Level 2 Data
Abstract: Aerosols have an important impact on Earth’s climate system by absorbing, scattering and modifying cloud properties. There are many sources of aerosols; both natural and resulting from human activities with widely varying distribution both in space and time. In addition to aerosol columnar spatio-temporal variation, the vertical profile temporal studies provide valuable inputs to various climatic models and radiative transfer studies. This study focuses on the analysis of color ratio …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 2, 2015 · pp. 1–5 Read article
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Technicalities and Tools for Big Data Analysis
Abstract: Before becoming relevant knowledge and information that can assist management in making decisions, data has no purpose. Numerous top-notch big data applications are available to help with this. In this study we discuss about the mostly used open source tools and techniques used for analysing big data. People started to understand how much data users were producing through Facebook, YouTube, and other online services around 2005. Hadoop, an open-source platform …
Published in Current Trends in Information Technology · Vol. 12, Issue 2, 2022 · pp. 12–20 Read article
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Analysis of Rainfall Variability in Sylhet Region of Bangladesh
Abstract: The variability and distributions of rainfall of a region is important and useful especially for agricultural activities. The study was conducted to establish the rainfall trends in Sylhet by analyzing available rainfall record for 35 years period of 1981 to 2015. Records of daily rainfall data for Sylhet region were obtained from the Bangladesh Meterological Department (BMD) for analysis. Rainfall data were categorized into monthly, annual, and seasonal basis. The …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 2, 2019 · pp. 1–10 Read article
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Fuzzy Probability Distributions and Their Applications in Uncertain Data Analysis
Abstract: This study explores the use of fuzzy probability distributions in data analysis under uncertain conditions, with a specific focus on their implementation in evaluating call center customer satisfaction. Traditional probability models rely on precise parameters, often failing to account for the inherent variability and subjectivity present in real-world data. In contrast, fuzzy probability distributions, which integrate fuzzy logic principles, offer a more adaptable and realistic framework for addressing such complexities. …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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Semantics Analysis of Expected Goals in Soccer Data Using Machine Learning
Abstract: In recent years, the increasing availability of soccer data has greatly enhanced the accuracy and depth of player performance evaluation. Soccer, being one of the most popular sports worldwide, attracts millions of fans due to its simple rules, minimal equipment requirements, and high entertainment value. However, analyzing an entire match manually can be time-consuming, leading to a growing demand for automated methods that can summarize and interpret game data efficiently. …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 31–47 Read article
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Water Quality Management using IoT and Data Analysis
Abstract: The drinking water crisis is one of the biggest crises in the world. Contaminated water causes deadly diseases creating a health issue. As the world is equipped with new smart technology and data analysis methods, it is important to implement smart water quality management system using internet of things cloud computing and data analysis which will replace the traditional method of water quality management and ensure safe pure drinking water …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 1, 2020 · pp. 6–11 Read article
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Smart Soil Health Monitoring: Leveraging Sensors and Big Data to Optimize Crop Growth
Abstract: The increasing demand for sustainable farming practices has necessitated the development of innovative technologies that improve crop productivity while reducing environmental harm. This study investigates the combination of internet of things (IoT) sensors and big data analytics for real-time soil health monitoring, with the aim of maximizing crop yield and efficient resource management. This allows for informed decision-making in key agricultural practices, such as fertilization, irrigation, and crop rotation, based …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 36–43 Read article