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550 articles for “data analysis”
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Impact Analysis of Big Data Prediction and Big Data Analysis in Distributed Environment
Abstract: This paper primarily focuses on “Data Prediction and Data Analysis in Distributed Environment”. Initially introduction regarding Data Prediction, Data Analysis and Distributed Environment has been discussed. Afterwards, we have accumulated case studies which prove the necessity of the concerned topic. Later, in this paper various parameters are marked down which prove to be great assets. The concern of growing data and the importance of its prediction and analysis motivated this …
Published in International Journal of Digital Communication and Analog Signals · Vol. 2, Issue 1, 2016 · pp. 40–45 Read article
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An Application of Genetic Algorithm in Data Analysis
Abstract: ABSTRACT Genetic Algorithm (GA) is applied to analyze the data. This paper presents the significance of GA in data analysis. The prediction, optimization, generalisation, connectedness, compactness and boundedness are the key advantages of this application. GA based data analysis considers the generation of the homomorphic data. This data is the filtered data but useful for the further analysis contained minimum errors. Keywords: Data analysis, GA Cite this Article: Swati Jain, …
Published in International Journal of Digital Communication and Analog Signals · Vol. 5, Issue 1, 2019 · pp. 1–7 Read article
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New Data Analysis Method based on L2-Metric over Fuzzy Logic and Genetic Algorithm
Abstract: ABSTRACT L2-Metric is studied over Fuzzy Logic and Genetic Algorithm for analyzing the data. The characterization of L2-metric is generalised over the fuzzy logic and genetic algorithm by isomorphism. This paper presents a new technique of data analysis by Genetic Algorithm (GA), L2 metric and Fuzzy Logic. GA is the process for generating the best variable for the next operation. The data of student’s academic performance is studied as the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 5, Issue 1, 2019 · pp. 13–18 Read article
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Fuzzy Logic, Artificial Neural Network and Genetic Algorithm over Sylvester Law of Inertia based Data Analysis Technique
Abstract: ABSTRACT Compactness of the Fuzzy Logic (FL), Artificial Neural Network (ANN) and Genetic Algorithm (GA) is applied to analyze the data. This paper presents a foundation for the same in compact form over the Sylvester’s Law of Inertia (SLI). The sequence of FL, ANN and GA is studied for deciding the source of output data. The data interacts with the academic institutes. The academic planning is based on the existed …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 1, 2019 · pp. 22–29 Read article
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Solution of Data Envelopment Analysis Model by Fuzzy Mathematical Programming Approach
Abstract: In many real applications, the data of production processes cannot be precisely measure. This Is Particularly worrying when assessing efficiency with frontier-type models, such as data Envelopment analysis (DEA) models, they are very sensitive to possible data errors. For this reason, the possibility of having available a methodology that allows the analyst to deal with imprecise data becomes an issue of great interest in these contexts. Data envelopment analysis (DEA) …
Published in International Journal of Computer Aided Manufacturing · Vol. 6, Issue 2, 2020 · pp. 23–33 Read article
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Unveiling Employee Attrition: Harnessing Predictive Modeling for Proactive Workforce Management
Abstract: This study aims to predict employee turnover and identify organizational factors contributing to attrition by employing predictive analytics techniques. Employee attrition, which refers to the loss of employees without immediate replacements, leads to reduced overall workforce productivity. The study evaluates different machine learning techniques, such as gradient boosting, random forest, and logistic regression, to identify employees who are most likely to leave, and uses SPSS software to ensure the reliability …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 1–10 Read article
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Software Contributions to Analytical Instruments
Abstract: Laboratory instruments used in the analysis of the sample or preparation of raw materials are crucial in research and business. Such features as accurately measured values and data coverage. The coordination between software and these instruments has changed their roles, gaining flexibility, accuracy and efficiency of work. This paper aims to outline the various roles of software in the analytical process. Instruments, describing the progress in data obtaining, analysis, and …
Published in International Journal of Analytical and Applied Chemistry · Vol. 11, Issue 1, 2025 · pp. 1–15 Read article
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AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Mathematical and statistical analysis of operational data from transportation systems that impact the final result of greenhouse gas emissions and other atmospheric pollutants
Abstract: Abstract The main objective of this study is to identify which mathematical and statistical models are used to forecast greenhouse gas emissions and other atmospheric pollutants from transportation systems. The research demonstrates how mathematical and statistical tools are used to identify and anticipate future scenarios from an environmental perspective, thus contributing to better solutions for mitigating increased emissions. The research concludes that mathematical and statistical models can more accurately anticipate …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 14–18 Read article
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Health Care System Analysis Using Different Datasets
Abstract: In this research work, we have discussed data science and various machine learning algorithms like KNN, Support Vector Machine, Artificial neural network, Random forest etc. and the results obtained from these algorithms which can be used for the prediction of heart disease, cancer and in many other fields of medical science. Requirement of data cleaning along with various methods of data cleaning are mentioned here, along with these various issues …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 29–37 Read article
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Evaluating the Efficacy of a Planned Teaching Program on Enhancing Knowledge about the Adverse Effects of Alcoholism among Adolescents (13–19 years) in a Senior Secondary School in Bhiwani: A Quasi-Experimental Research Study
Abstract: Background: Health is a precious gift bestowed upon us by God, and it is our responsibility to safeguard it for a wholesome life. Personal choices and behaviors play a pivotal role in determining one’s health, emphasizing that well-being is often a result of controllable individual actions rather than mere chance. The term ‘alcohol’ carries varied meanings within our society and has been in common use since ancient times. The European …
Published in International Journal of Pediatric Nursing · Vol. 10, Issue 1, 2024 · pp. 13–19 Read article
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Analysis of Trend in Rainfall Data using Mann-Kendall Test and Linear Regression Method
Abstract: Rainfall is a vital part of the hydrologic cycle and changes in its pattern directly influence the water resources of concerned regions. Changes in rainfall response as a result of climate change that gives alarming to hydrologists and water resource managers as these changes in rainfall quantity and frequency are altering the pattern of stream flows and demands, spatial and temporal distribution of runoff, soil moisture, etc. The drastic changes …
Published in International Journal of Water Resources Engineering · Vol. 8, Issue 2, 2022 · pp. 39–44 Read article
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Retrospective Quantitative Assessment on Difference in Hearing Impairment of Users and Non-Users of Headphones
Abstract: Introduction: Hearing is one of the central functions of the body, with sight and taction. Hearing facilitate individual to collaborate with his surroundings at all zone. Human hearing elongate in oscillations ranges from 20-20,000 Hertz (Hz) whereas in magnitude from 0 to140 decibels (dB) or more. Technology is affective along day by day, leaving us all ambushed in gratification and cheerfulness with atrocious effects on health. Headphones and earphones are …
Published in International Journal of Nursing Critical Care · Vol. 5, Issue 1, 2019 · pp. 57–66 Read article
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Revolutionizing E-Voting with Blockchain: A Secure and Transparent Framework
Abstract: One of the biggest challenges facing contemporary democracies is guaranteeing the safety and openness of electoral procedures. Issues like voter fraud, tampering, and lack of transparency are common in traditional voting systems, whether they are electronic or paper-based, and they can erode public confidence. Blockchain technology, which provides a decentralized, transparent, and unchangeable electronic voting mechanism, has emerged as a viable remedy for these issues. This paper explores the implementation …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 23–36 Read article
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Confronting the Barriers: A Holistic Analysis of Challenges in Postmortem Brain Data Decoding
Abstract: The human brain, a complex organ, has the potential to store vast amounts of information, including knowledge, experiences, and memories. However, retrieving this data after death has been a subject of scientific investigation due to its intricate neuronal pathways and connections. This study examines the current methods used for recovering postmortem brain data, highlighting their advantages, disadvantages, and potential future advancements. It also discusses the ethical issues surrounding the extraction …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 1, 2024 · pp. 24–32 Read article
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Classification of Brain Tumor with Statistical Analysis of Texture Parameter Using a Data Mining Technique
Abstract: The objective of this research is to investigate the abnormal images of brain having diseases of brain tumors using machine learning tool and to measure their texture which involves shape, intensity and texture parameter of brain. All of these images were run by the machine learning tool and compared these results with the normal image of brain. If there was abnormality located in the data, it was noted and further …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 4, Issue 2, 2018 · pp. 22–36 Read article
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A Comparative Study to Assess Nutritional Status of Preschool Children in Selected Rural and Urban Areas, with a View to Develop Pamphlet Regarding Recommended Daily Allowance
Abstract: Purpose of the Study: Malnutrition is like an iceberg, most people in the developing countries live under the burden of malnutrition. Pregnant women, nursing mother and children are particularly vulnerable to the effects of malnutrition. Malnutrition is widely prevalent among weaned infants and preschool children. The aim of the present study is to assess the nutritional status of urban and rural preschool children. Objectives: (1) Assess the nutritional status of …
Published in International Journal of Nursing Critical Care · Vol. 5, Issue 1, 2019 · pp. 12–49 Read article
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IoT-Driven Crane Management: Enhancing Efficiency Through Broadband Connectivity
Abstract: To address the challenges of scrap management and detect discrepancies in scrap loading and unloading, the system should include the following features: Operator Login: Implement a secure login system for operators to monitor individual performance and activity. Dashboard: Provide a dashboard for real-time monitoring of both operator performance and overall process efficiency. Data Collection: Gather data using existing weight sensors and the installed module. Separate Console and Server: Set up …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–7 Read article
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A Study to Evaluate the Effectiveness of Structured Teaching Program on Knowledge Regarding Influence of Medias Among Secondary School Going Children in Selected School at Bengaluru
Abstract: Background and purpose of the study: In general Media refers to various means of communication. For example, newspaper, radio, television, radio, computer, video games, etc. The goal of the Media, Information and Technology (MIT) program is to offers critical, interdisciplinary analysis of the institutions, practices and cultural meaning associated with technologies of communication, information, knowledge, learning and entertainment. The aim of the present study is, to evaluate the effectiveness of …
Published in International journal of Nursing Science Practice and Research · Vol. 3, Issue 1, 2017 · pp. 42–51 Read article
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Evaluation of the Effectiveness of a Structured Teaching Program on Mothers’ Knowledge Regarding the Prevention of Dengue Fever in Children: A Study in Pediatric Medical Wards at Shridevi Institute of Medical Sciences and Research Hospital
Abstract: Background and objectives: Dengue, commonly referred to as break-bone fever, is a viral infection spread to humans by mosquitoes, especially in tropical and subtropical areas. Although many people infected with dengue may show no symptoms, those who do typically exhibit symptoms such as high fever, headaches, body aches, nausea, and a rash. In most cases, individuals recover within 1–2 weeks. However, severe cases may necessitate hospital care. Home treatment is …
Published in International Journal of Pediatric Nursing · Vol. 10, Issue 1, 2024 · pp. 54–63 Read article