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795 articles for “Data Types”
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Association between Diabetes Type and Family History of Diabetes: A Cross-Sectional Analysis of Gender Differences and Genetic Influences
Abstract: Introduction: Diabetes mellitus DM is one of the fast-growing chronic metabolic disorder in the world, with high impact and burden in low- and middle-income country. Although genetic predisposition is a central determinant of diabetes risk, particularly for Type 2 diabetes (T2D), the contribution of familial aggregation varies across populations. In many parts of the world where diabetes is rising very fast understanding the relationship between diabetes type and family history …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 43–50 Read article
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A Review of Locking Protocols for Concurrency Control in Parallel Databases
Abstract: In modern database systems, many transactions may run at the same time. When several users try to access the same data or update the data simultaneously, then it creates a problem such as inconsistency data, lost updates or misinformation and may lead to conflicts between the transactions and deadlocks. To avoid these types of issues and maintain the correctness of the database, concurrency control protocols are mainly used. This paper …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 Read article
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ECO Report Analys Achieving SDG 15
Abstract: This project creates automated data processing tool Eco Data Analyser for ecological data analysis for SDG 15: Life on Land conservation and biodiversity. File_picker, Excel, and CSV are used in the Flutter and Dart based cross-platform solution to assist environmental organizations in handling ecological data. Uploading ecological datasets, verifying data, classifying biodiversity indicators, and producing summary reports helps Eco Data Analyser to make conservation data accessible and valuable. User-defined parameters …
Published in International Journal of Land · Vol. 2, Issue 2, 2025 · pp. 1–10 Read article
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Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security Read article
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Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security · Vol. 10, Issue 1, 2022 · pp. 46–53 Read article
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Development of an Intelligent and Statistical Model for Prediction of Rock Mass Deformation Modulus
Abstract: The rock mass deformation modulus (Em) takes into account the plastic and the elastic deformation of the rock mass. It has been widely used for designing structures such as dams, tunnels, caverns, and mines, etc. Since the tests available for ascertaining Em are expensive and time consuming, several equations were suggested in the past. However, it has been found that the existing models are limited to specific type of rock …
Published in Journal of Geotechnical Engineering · Vol. 6, Issue 2, 2019 · pp. 39–50 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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Arduino-Based Embedded-Software for Offline and Web-Based Attendance System
Abstract: Embedded software originally controlled hardware but algorithm and software developed determine mode of control and action expected of the hardware. Arduino hardware microcontroller board called Arduino UNO is one of the best electronics boards with coding these days while many attendance systems developed today are mostly one-way. Many developing and underdeveloped countries cannot guaranty 24/7 electricity and strong network connection or data for fully online attendance system. Based on this …
Published in Research & Reviews: A Journal of Embedded System & Applications · pp. 12–22 Read article
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Arduino-Based Embedded-Software for Offline and Web-Based Attendance System
Abstract: Embedded software originally controlled hardware but algorithm and software developed determine mode of control and action expected of the hardware. Arduino hardware microcontroller board called Arduino UNO is one of the best electronics boards with coding these days while many attendance systems developed today are mostly one-way. Many developing and underdeveloped countries cannot guaranty 24/7 electricity and strong network connection or data for fully online attendance system. Based on this …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 3, 2021 · pp. 12–22 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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Enhancing Smart Grid Resilience Through AI-Based Fault Classification
Abstract: Traditional power grids can be developed into smart grids, and they are comprised of the latest information and communication technologies (ICTs), which are based on establishing the relationship between the conventional electricity systems along with the usage of smart meters and distributed generation. This dynamic improves energy efficiency and the integration of renewables. Well, the dynamic and reversible power injection from Distributed Energy Resources (DERs) creates substantial operational problems. These …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article
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Covariance based Clustering for Digital Image Compression
Abstract: Traditionally clustering is done based on distance between the data points and the cluster centroids. A new type of clustering based on distance between the covariance matrices of the clustered data points was recently introduced. This allows clustering data points according to their spatial distribution model. This paper presents an improved algorithm for the computation of covariance based clustering with application to digital image compression. Karhunen-Loeve Transform is an optimal …
Published in Current Trends in Information Technology · Vol. 8, Issue 1, 2018 · pp. 16–21 Read article
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Perceptions and Attitude of Registered Nurses Towards Professionalism in Nursing from Selected Hospitals of Guntur District, Andhra Pradesh: A Comparative Study
Abstract: Background: Nursing professionalism refers to a collection of principles that are essential to raising the standard of patient care while enhancing the methodology, norms, and judgement that direct nursing activities on a daily basis. The main objective of the study is to assess the perceptions and attitude of registered nurses towards professionalism in nursing. Materials and Methods: A comparative descriptive research design adopted for this study. The study conducted at …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 1–7 Read article
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To Study The Drug Utilization Pattern of Drugs Used in Treatment of Thyroid Patients in Tertiary Care Hospital, Bathinda
Abstract: Aim: This study aimed to assess the drug prescription trends for thyroid disorders in a tertiary care setting, with a focus on medication choice, dosage patterns, and patient self-medication behaviour. Methods: A prospective observational study was conducted on 84 patients diagnosed with thyroid disorders. Data were collected regarding the type of disorder, prescribed drugs (dose and frequency), comorbidities, and self-medication practices. Descriptive statistics were applied to identify prescription trends. Results: …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 59–66 Read article
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Monitoring of Disable Patients with their Medical conditions using K-NN Classifier Algorithm
Abstract: In this paper a general procedure for the infirmity assessment of patients with ineptitudes is presented. It relies upon consistently activity examination using ordinary accelerometer sensors conveyed by the noticed person while at home without clinical staff present. The k-NN classifier is being used to study six different types of activities after preliminary data pre-planning, followed by further decreases in estimation and confirmation time. Promising results are gotten which could …
Published in Current Trends in Signal Processing · Vol. 12, Issue 2, 2022 · pp. 1–7 Read article
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Application of GIS Web Based in Construction Management
Abstract: Project management is the process and task of planning, organizing, motivating, and controlling resources, procedures, and protocols to achieve specific goals in scientific or daily problems. In the construction world, it is crucial to monitor project management because each project has its duration and every contractor needs to complete the project within the given time. Moreover, exceeding the duration given will cause the penalty to the contractor which in turn …
Published in Journal of Geotechnical Engineering · Vol. 4, Issue 2, 2017 · pp. 17–25 Read article
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Breakout Problems Study of Continuous Casting Steel
Abstract: The breakout is one of greatest problems in the continuous casting processes. We can return most of their reasons on the bad control of casting process circumstances, including the chemical composition of the metal, pouring speed and temperature, as well as operation processes control. In this research, the breakout heats had been constrained for the period of ten months, for (ST 52) type steel .From the operating data, remarked that …
Published in Journal of Materials & Metallurgical Engineering · Vol. 2, Issue 1-3, 2012 · pp. 11–21 Read article
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A Comparative Study About Cyberattacks and Cybersecurity in Real World
Abstract: In the current scenario, many private companies and government organizations are facing cyberattacks and dangerous wireless communication technologies. Currently, all things depend on electric technology and needs to get protected against cyberattacks issue. The cyberattacks are harming all types of company and government data. Few attacks affected the military and politics like PC viruses, DDOS, malware, etc. Cybersecurity researchers follow various methods to protect data in real-time. This researcher wishes …
Published in Journal Of Network security · Vol. 10, Issue 3, 2022 · pp. 15–23 Read article
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Cadmium Toxicity: Oxidative Stress and Organ Dysfunction
Abstract: Due to continued anthropogenic mobilization, cadmium accumulation in the environment causes various health problems because of its diverse toxic effects, extremely lingering biological half life (20–30 years), low rate of excretion from the body and storage predominantly in soft tissue primarily liver and kidney. Cadmium is known to have numerous noxious effects, including nephrotoxicity, hepatoxicity, osteoporosis, cardiovascular toxicity, lung toxicity, and reproductive toxicity. The biologically significant ionic form of cadmium, …
Published in Research and Reviews: A Journal of Toxicology · Vol. 4, Issue 2, 2014 · pp. 14–31 Read article
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A Comprehensive Review on Comparative Study of Different Techniques of Dispersion Compensation
Abstract: AbstractOptical fiber communication (OFC) provides high bit rate data communication. There are various types of impairments and signal degradation mechanisms which are involved with this highspeed communication system. In case of long distance communication, the most prominent impairment is dispersion. Dispersion affects the information signal very badly when it travels along a long distance. There are different techniques available to compensate dispersion. In this paper, the various methods of dispersion …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 3, 2017 · pp. 1–8 Read article