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238 articles for “real data sets”
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An Alternative Robust Measure of Outlier Detection in Univariate Data Sets
Abstract: A univariate outlier is a data point that consists of an extreme value on one variable. Here we applied two types of outlier detection methods: one is graphical and another is analytical. This paper presents graphical methods for different statistical outlier detection such as scatter diagram, box plot and normal probability plot. Furthermore, the quantitative methods for outlier detection in this paper are the IQR method, SD method, Z-score method, …
Published in Research & Reviews : Journal of Statistics · Vol. 8, Issue 1, 2019 · pp. 1–11 Read article
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Estimation of Population Mean Under SRSWOR Using Imputation Technique
Abstract: This research work suggests four log-type imputation methods using auxiliary information for missing observations in a data set. These methods consist of corresponding point estimator for estimating population mean under simple random sampling without replacement. Bias and mean square error expressions are derived up-to first order of approximation. Percent relative efficiency of suggested estimators is compared with the existing estimators using four population real data sets. And it is empirically …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 2, 2018 · pp. 12–20 Read article
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Applications of Marshall-Olkin Generalized Family of Distributions
Abstract: In this paper, we discuss the applications of Marshall-Olkin extended distributions introduced by Marshall and Olkin A new method for adding a parameter to a family of distributions with Application to the Exponential and Weibull Families, Biometrica, 84, 641-652. We provide several applications of the Marshall-Olkin extended family of distributions in reliability theory, entropy analysis, stress-strength reliability modelling, exponentiated generalized distributions, acceptance sampling inspection plans, record values and autoregressive minification …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 22–37 Read article
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On a Generalization of Gumbel-Uniform Distribution
Abstract: In this paper, we introduce a generalization of Gumbel-Uniform distribution namely Marshall-Olkin Gumbel Uniform distribution and its properties are studied in detail. The expressions for survival function, quantile function, hazard function, etc. are derived and the shape properties are explored. The parameters are estimated using maximum likelihood estimation method. The new model is applied to a real data set on breaking stress of carbon fibres and it is established that …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 2, 2018 · pp. 21–26 Read article
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Dimensionality Reduction: A Brief Survey on Its Myriad Techniques
Abstract: This paper is a short survey and analysis on different techniques and methods using which efficiency of existing techniques can be improved which are used for data exploration, or search for those features which has deeper relationship amongst the variable, which relies on greater extent on visual methods. However, for multidimensional data set with real time data collected captured using sensors or real time applications, redundant and unused or wanted …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 6, Issue 2, 2017 · pp. 46–51 Read article
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A Data-driven Approach to Sales Analysis
Abstract: Decisions made using data from digital sources are said to be data-driven when they are analysed and interpreted. Across many sectors, a data-driven approach is an effective technique for gaining insights, making wise choices, and guiding corporate strategy. This study covers the concept of data analytics in sales analysis of bakery and mess. It involves evaluating diverse types of information, including sales data, customer preferences, production costs, and supplier details. …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 1, 2024 · pp. 29–41 Read article
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IoT-Enabled Self-Monitoring Polymer Composites for Solar Facade Systems with Cloud-Based Thermal Analytics
Abstract: The increasing demand for intelligent and energy-efficient building systems has hastened the production of smart solar facade systems. This paper presents an IoT-based self-monitoring polymer composite system, which includes thermal analytics running on the cloud to provide real-time assessments of the performance of the facade. The artificial composite panel has sensing capability built in which the material is able to measure both surface and internal thermal behavior simultaneously in dynamic …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 657–681 Read article
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Handwritten English Alphabet Recognition Using Convolutional Neural Network
Abstract: This research paper presents an approach for English alphabet recognition using machine learning. The proposed system utilizes a convolutional neural network (CNN) to identify individual characters within an input image. The dataset used in this research consists of a large collection of handwritten alphabet images, sourced from Kaggle's A-Z Handwritten Alphabets dataset in CSV (comma-separated values) format, which were preprocessed and augmented to improve the model's accuracy. We trained and …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 17–25 Read article
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Improved Software Cost Estimation using General Search based Analogous Project Feature Weight Assignment
Abstract: Software cost estimation is the estimation of development effort and time required to develop any software project. Analogy based estimation is considered as one of the most popular techniques used in software cost estimation. Analogy based estimation is mostly appraised for its expensive computation cost , low prediction accuracy and large memory requirements despite many research works focusing on optimizing the weights of the project features being carried out in …
Published in Journal of Advances in Shell Programming · Vol. 6, Issue 1, 2019 · pp. 20–26 Read article
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Wrapped Fernandez and Steel's Skewed Laplace Distribution and its Applications in Ornithology
Abstract: In this paper, we introduce a new circular distribution called Wrapped Fernandez and Steel's Skewed Laplace distribution. We obtain explicit form for the density and derive expressions for distribution function, characteristic function and trigonometric moments. Method of maximum likelihood estimation is used for estimation of parameters. The proposed model is also applied to two real life data sets in ornithology and its performance is compared with that of wrapped Laplace …
Published in Research & Reviews : Journal of Statistics · Vol. 6, Issue 3, 2017 · pp. 73–83 Read article
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Federated Learning for Privacy-Preserving AI Model Training Across Distributed Healthcare Systems
Abstract: Building effective AI diagnostic tools in clinical environments presents a fundamental contradiction — the patient data most critical to model performance is precisely the data subject to the strictest legal and institutional restrictions. Regulations such as HIPAA and GDPR, while essential for protecting patient rights, render conventional centralized training pipelines largely impractical in real hospital settings where data cannot be transferred, pooled, or shared across institutional boundaries. This paper presents …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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LTE & 5G NR Carrier Aggregation Network Optimization through Advanced Measurement Configuration
Abstract: The ability to merge numerous frequency carriers—component carriers—to increase transmission bandwidth and throughput speeds over what can be achieved with a single carrier is known as carrier aggregation, and it is a crucial technology in 4G LTE and 5G networks. Cellular devices may attain gigabit data speeds by combining carriers from several frequency bands, such as 600 MHz to mm Wave frequencies, to increase downlink and uplink capacity. This study …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 2, 2023 · pp. 35–45 Read article
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Enhanced Sunlight Intensity Measurement with Solar Tracking System
Abstract: Sunlight intensity measurement plays a crucial role in various applications, particularly in the context of solar energy utilization. However, traditional static acquisition devices often fail to provide precise measurements throughout the entire daylight period. This limitation necessitates the development of more advanced methodologies for accurate sunlight intensity assessment. In this studynn, we propose a novel approach utilizing a solar tracking system integrated with a measurement device to achieve precise sunlight …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 1, 2024 · pp. 8–15 Read article
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Text Recognition System: A Review
Abstract: Text recognition is a crucial problem in the meticulousness of digital image processing since so many historical documents now in existence are in the form of paper records. Similar textbook recognition systems are primarily concerned with transubstantiating textual records from physical copies to records that are familiar to the system, making it simpler to retain them in databases or other real-world settings. This work illustrates how image-processing technologies may be …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 1, 2023 · pp. 1–6 Read article
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IoT Based Fire & Gas Detection Using Blynk
Abstract: This article provides a Blynk platform-based Internet of Things (IoT) solution for gas and fire detection. The suggested system has sensors that are linked to a microcontroller and can detect gas leaks as well as fires. These sensors provide wireless data transmission to a central processing unit. Safety and monitoring systems are only two of the many facets of daily life that the Internet of Things (IoT) has transformed in …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 30–36 Read article
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An Analysis of Machine Learning Models for Early Cardiac Risk Stratification
Abstract: The paper shows an in-depth study of machine learning and artificial intelligence solutions to early cardiac risk stratification which has a crucial necessity because cardiovascular disease (CVD) prediction remains a significant issue that needs to be improved beyond the conventional risk score. Since CVD is the most serious disease killer in the world, claiming 17.9 million deaths every year, there is a strong need to get the most sophisticated predictive …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Implementation of FSO Link for Full Duplex Short Range Communication
Abstract: Extensive data transfer is a need of all modern communicating devices. Wired communication requires lots of bulky wires to be laid everywhere. To setup a small ad hoc network, it is not advisable to lay down long wires. Other than requirement of wires, one also needs very good communication speed to withstand the need of very high bandwidth for multimedia data transfer. A communication link that satisfies both the requirements …
Published in Journal of Electronic Design Technology · Vol. 7, Issue 2, 2016 · pp. 8–15 Read article
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Evaluating the Performance of a Smart VCR System Using Python for Data Analysis Based on IoT
Abstract: Commercial buildings use a significant amount of electricity, with around 60% to 80% being attributed to the HVAC system. Implementing IoT and smart sensors can help reduce this consumption by 10% to 30%. To lower the electricity usage of air conditioners, a study has proposed an IoT-based smart VCR system with sensors, meters, gateway, and cloud computing modules. This system is designed to collect data and regulate the VCR system …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 7–23 Read article
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A novel similarity measure for interval value picture fuzzy Environment and extended TOPSIS
Abstract: Correct decision-making is the most arduous task in our daily life. The decisions are hard to make in the multi-criteria decision-making (MCDM) problems due to ambiguous and unexpected information. In order to cope with such uncertainties in the data, a new decision-making approach has been developed using a newly defined similarity measure under the framework of interval-valued picture fuzzy set (IVPFS), as an extension of picture fuzzy sets (PFS). In …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 1, 2024 · pp. 1–10 Read article
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IoT-Enabled Flexible Polymer Sensors for On-Body Health Monitoring and Real-Time Data Transmission
Abstract: Wearable health monitoring systems have grown increasingly vital in shifting care beyond clinical settings, yet many existing technologies remain hamstrung by rigid substrates and unreliable data streaming, impeding continuous and comfortable physiological assessment. Despite advances in flexible materials, most current sensor platforms suffer from limited mechanical endurance, signal instability under dynamic conditions, or an inability to sustain real-time wireless transmission. This work addresses those deficiencies by introducing a fully integrated, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 188–200 Read article