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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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Effects of Cluster Computing on Big Data Analysis and Network Topology
Abstract: The rapid expansion of big data has posed substantial difficulties for conventional computing systems. As a result, cluster computing has grown to be a potent method for effective large data processing. Cluster computing involves multiple interconnected nodes functioning as a unified system, pooling together their processing, storage, and memory resources. These nodes are typically connected through high-speed networks such as ethernet or InfiniBand, facilitating efficient data sharing and communication among …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 31–39 Read article
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CIPHER Intelligence: AI-Powered Global Military Expenditure Analysis and Predictive Modeling
Abstract: Military expenditure analysis has emerged as a critical component of economic and geopolitical intelligence in the modern era. This paper presents CIPHER Intelligence, a comprehensive AI-powered platform for analyzing and predicting global military spending patterns across 211 countries spanning54 years (1970-2024). We employ advanced machine learning techniques, particularly Random Forest regression models, to achieve 99.5% prediction accuracy for military expenditure forecasting based on economic indicators. The platform integrates data from …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 1–8 Read article
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IoT-enhanced Real-time Monitoring and Hazard Detection
Abstract: This research explores the innovative application of internet of things (IoT) technology within occupational health and safety management systems (OHSMS) to substantially improve real-time monitoring and hazard detection in industrial settings. IoT sensors and wearable devices are deployed to enable continuous and thorough collection of data on environmental conditions, equipment status, and worker health. Real-time data analysis facilitated by IoT technology allows for the rapid identification and mitigation of potential …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 2, 2024 · pp. 20–24 Read article
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NoSQL Databases- Analysis, Techniques, and Classification
Abstract: In recent years in big data and real-time web applications, NoSQL database solutions are gaining popularity in handling massive increase in size of data storage. The design of traditional relational database management systems makes it difficult for them to take advantage of virtually unlimited processing power and economical storage available via cloud computing. In contrast to this NoSQL databases support dynamic schemas, auto-sharding, automatic replication and integrated caching capabilities prominently …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 2, 2014 · pp. 13–24 Read article
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A Latest Approach for Crime Rate Prediction and Analysis by Using the Clustering and Machine Learning Algorithm
Abstract: In our daily life, the collection and analysis of crime-related data is uncertain from a security perspective. Crime rate forecasting and analysis is a way of identifying and analyzing crime patterns in crime data contained in a crime database. Our system predicts what criminal activity occurs in everyday life in various parts of the world. Through the utilization of machine learning and data mining algorithms, it is possible to forecast …
Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 32–42 Read article
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KSK Approach: An AI-Driven IoT Based Decision Making System’s Study
Abstract: Internet of Things (IoT) has promised a world of interrelated devices, generating vast amounts of data. Traditionally, IoT systems trusted on preprogrammed procedures and human intervention to process data and make decisions. This approach often struggled to hold the sheer size and density of IoT data, leading to inefficiencies and missed opportunities. However, the true budding of that data lies not simply in its collection, but in its interpretation and …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 14–25 Read article
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Analyzing Potential Leads Data to Improve Marketing Strategies
Abstract: To develop a lead scoring model using multiple machine learning models and create a user-friendly web application, the first step is to clearly define the problem and collect relevant data from various sources such as CRM, website, social media, email campaigns, etc. After cleaning and pre-processing the data, identify the essential features that can affect the lead score and split the data into training and testing sets. Next, select a …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 18–25 Read article
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House Price Prediction: A Review
Abstract: In today’s scenario, real estate industry is growing rapidly. Everyone wants to purchase land and a home, either for personal use or as an investment. House prices keep changing day by day and it is hard for a person to choose the best from all of them. There are many technologies that help to analyse the various aspects of buying property. These digital platforms are created using various algorithms like …
Published in Journal of Open Source Developments · Vol. 9, Issue 3, 2022 · pp. 25–29 Read article
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A Review Paper Based on Methodologies and Applications of Data Mining
Abstract: Data mining is like extracting record from a heap of data. Understanding database concepts is vital for data mining. Knowledge Discovery in Databases (KDD) is used to discover crucial data-related information. Our motive is being inundated with exceptional types of information science statistics, environmental records, financial records, and mathematical records. Summarizing the information manually is not possible because of the notable data boom inside the age of community and records …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 8–15 Read article
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Revamping of Pharmaceutical Manufacturing Processes
Abstract: The pharmaceutical sector is entering a new era marked by technological advancements and an emphasis on sustainability and efficiency. A commitment to compliance can help boost consumer confidence and regulatory approval. This abstract explores the multifaceted approach to revamping pharmaceutical manufacturing processes, encompassing technological integration, regulatory compliance, and sustainability initiatives. Technological advancements, including automation, data analytics, and artificial intelligence, are playing a pivotal role in streamlining manufacturing operations. These innovations …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 1, 2024 · pp. 38–44 Read article
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Optimizing Heart Disease Prediction: Comparative Analysis of Machine Learning Algorithm for Early Detection
Abstract: The expanding realm of data analysis holds considerable importance in healthcare, particularly in the medical sector where forecasting heart disease is considered a complex endeavor. Early prediction of serious health conditions can be the determining factor between survival and fatality, with heart disease being one such critical health issue. Over the past decade, the main reason for death has been heart disease. Heart disorders come in many different forms, and …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
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Satark India Application
Abstract: AbstractWe face many problems and see a lot of issues happening in our surroundings but we ignore those because of the tedious path of government to follow up and investigate the issue. Mobiles play a major role in delivering solutions to our everyday problems. We have designed the android phone application “Satark India Application” that focuses on delivering a clean society. This app gives people the platform where the issue …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 8, Issue 1, 2021 · pp. 23–32 Read article
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An Analysis into the Issues of Multi-Agent Data Mining
Abstract: Presently instructional establishments compile and store vast volumes of information like student enrollment and attending records, moreover as their examination results. Mining such knowledge yields stimulating info that serves its handlers well. Ascension in instructional knowledge points to the very fact that distilling huge amounts of information needs an additional subtle set of algorithms. This issue led to the emergence of the sphere of Educational Data Mining (EDM). Ancient data …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 3, 2018 · pp. 1–4 Read article
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Dominant Factor of Obesity in Indonesia Population Aged 36–65 Years (Data Analysis IFLS 2014)
Abstract: Obesity has been defined as a global epidemic and triples the risk of death. The prevalence of obesity throughout the world continues to increase almost threefold. Something similar happened in Indonesia, based on Riskesdas data, the prevalence of obesity had reached 21.8% (2018). This prevalence tends to increase after the age of 36 years and above and then decreases after the age of 60 years and over. The main objective …
Published in Research and Reviews: A Journal of Health Professions · Vol. 10, Issue 1, 2020 · pp. 23–28 Read article
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Disease Prediction for Heart using Data Mining Techniques and Decision Tree Classification
Abstract: Heart disease is a prominent cause of death worldwide, and many people are concerned about it. Early detection of heart disease becomes very crucial and has the potential to save many lives. However, detecting cardiovascular diseases such as heart attacks, coronary artery disease, and others of similar types is a critical challenge presented by routine clinical data analysis, even by using well known algorithms. We can’t risk lives of people …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 16–22 Read article
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Advancement and Limitations of Raman Spectroscopy: A Review
Abstract: The present review provided an overview of advances and limitations in Raman spectroscopy— a powerful analytical tool widely used across scientific disciplines. Instrumental advances, including the development of lasers, detectors, and optics, have increased the scope of Raman spectroscopy. These advances have expanded its applications in fields such as information science and biology. The integration of Raman spectroscopy with additional technologies such as microscopy and artificial intelligence further expands analytical …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 85–97 Read article
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Graphical Representation and Interpretation of Data of Height/Weight of a Sample of 100 Humans in Relation to their Age and Sex
Abstract: AbstractThis paper presents recommendations for the analysis and presentation of height and weight data from surveillance or surveys involving age and sex in 100 human samples of variable ages. These recommendations are only for the analysis of data collected on a cross-sectional basis. The basic indices recommended are height for age and weight for height, each considered either in terms of centiles or in a cross-classification scheme using standard deviation …
Published in Research and Reviews : Journal of Computational Biology · Vol. 9, Issue 1, 2020 · pp. 40–51 Read article
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Wearable Devices Incorporating Nanostructured Biosensors: Enabling Real-Time Monitoring and User-Friendly Interfaces
Abstract: Wearable devices incorporating nanostructured biosensors have emerged as a revolutionary technology, enabling real-time monitoring of various physiological parameters and biomarkers. These devices leverage the unique properties of nanostructured materials, such as high surface-to-volume ratio, enhanced sensitivity, and improved electrical and optical characteristics, to achieve exceptional performance in terms of sensitivity, selectivity, and response time. This chapter explores the recent advancements in wearable devices with nanostructured biosensors, highlighting their applications in …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 1, 2024 · pp. 13–21 Read article
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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 · pp. 22–36 Read article
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Advancements in AI-Driven Diagnostics for Dental Health: A Comprehensive Review
Abstract: Dental diseases, also known as oral diseases or dental conditions, encompass a range of health problems affecting the teeth, gums, mouth, and associated structures. These conditions can lead to pain, discomfort, and severe complications if left untreated. Early detection and accurate diagnosis are crucial for effective treatment and prevention of further complications. This comprehensive literature review aims to identify common dental problems such as Tooth Decay (Cavities), Gingivitis, Periodontitis, and …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 1–7 Read article