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1850 articles for “Data Base” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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A Python-Based Investigation of Clinical Data and Ultrasound Images for PCOS Diagnosis
Abstract: PCOS is a common endocrine disorder that impacts women in their reproductive years characterized by irregular menstrual cycles, hyperandrogenism, and polycystic ovaries. The full diagnostic plan is mainly a combination of a pelvic ultrasound besides blood tests of specific parameters that indicate the presence of PCOS. Since PCOS is a hard-to-diagnose widespread hormonal disorder, blood tests, symptoms, and other parameters with the help of a computer can form a new …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
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Impact of Work Function Variations on Data Stability of FinFET based 6T SRAM Cell
Abstract: The performance of FinFET SRAM cell is severely affected due to metal gate work function variations (WFV) in FinFET device. In order to provide guidelines for SRAM cell optimization, it is essential to examine the data stability due to the contribution of each cell transistor from WFV point of view. In this work, we investigate the effect of VTH variations of each transistor of tri-gated FinFET 6T SRAM cell on …
Published in Journal of VLSI Design Tools and Technology · Vol. 11, Issue 2, 2021 · pp. 1–13 Read article
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An Empirical Study on Evaluating Graph Based Clustering for HD Data Using Attribute Selection
Abstract: An attribute subset selection can be showed as a process of identifying and eliminating or removing a number of irrelevant and surplus attributes (features) because irrelevant attributes do not give predictive accuracy and the surplus attributes provide the information that is already present in the other attributes. Attribute selection involves identifying a subset of the most useful attributes that produces the similar results as the final set of results. An …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 2, 2014 · pp. 33–40 Read article
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Fitting Relative Permeability’s Curves Based on Laboratory Production Data for A Thermal Composite Core Flooding Experiment
Abstract: Numerical simulators are effective tools for an adequate understanding of models geological and dynamic properties under which enhanced oil recovery techniques are investigated. Core flooding experiments are usually conducted for calibrating simulated rock and fluid properties against actual test results at micro-scales, and for further scaling up processes to the reservoir scale. In this paper, laboratory experiments data were used as input for a numerical simulator to study the effect …
Published in Journal of Petroleum Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 41–56 Read article
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Identifying Weightages Based on World Bank Data
Abstract: This paper states Conceptual hierarchy of World Bank data which represents the relationship between objects or concepts in a hierarchical form. The work presented here focuses on creating hierarchies which have relationship between parent and child nodes but not between siblings. A multi-level hierarchy (conceptual relationship knowledge) can be generated from a set of questionnaire survey of World Bank data by applying factor analysis and decision tree induction techniques. The …
Published in Journal of Production Research & Management · Vol. 5, Issue 2, 2015 · pp. 1–10 Read article
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Spatio-temporal Distribution of Wildfire Occurrences on the Lake Floor of Lake Chad Based on Remotely Sensed Data
Abstract: Normal 0 false false false EN-US X-NONE X-NONE This paper analyzes the spatio-temporal distribution of wildfire occurrences on the lake floor of the Lake Chad using satellite remote sensing data. A combination of field survey and computation of fire pixel counts from MODIS images for the period 2001–2009 form the basis for this analysis. The result revealed that the highest number of fires occurred in 2001, with varying figures in …
Published in Journal of Remote Sensing & GIS · Vol. 2, Issue 2, 2011 · pp. 5–12 Read article
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Improved Vision Based Algorithm for Deep Web Data Extraction
Abstract: Several systems and languages have been proposed for solving web-data management problems, but none of existing system addresses all the problems from a unified perspective. Most of the existing link analysis algorithms treat a web page as a single node in the web graph. However, in most cases, a web page contains multiple semantics and hence the web page might not be considered as the atomic node. New web content, …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 2, 2015 · pp. 28–37 Read article
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Neuro-Rehabilitation Reimagined: A Cross-Cultural Paradigm Integrating Immunotherapeutics and Multidimensional Analytics in Pediatric Cerebral Palsy
Abstract: Researchers performed multidimensional data analysis on the clinical records of 1,586 cerebral palsy pediatric patients to investigate the rehabilitative benefits of immunotherapy and the advantages of blending Traditional Chinese Medicine with Western treatments. A multi-center, prospective cohort study established a standardized system for data gathering that included clinical baseline databases along with treatment protocols and follow-up information. Baseline data analysis showed substantial patient diversity across clinical types and TCM syndromes …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 2, 2025 · pp. 67–84 Read article
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OBD-II Big Data–Driven ML and AI-Based Virtual Sensing for Fuel Economy, Component Health, and Carbon Intelligence
Abstract: The rapid growth of connected vehicles has led to the large-scale availability of high-frequency On-Board Diagnostics II (OBD-II) data; however, much of this data remains underutilised, as existing studies and commercial systems typically address fuel economy, maintenance, or emissions in isolation or rely on additional physical sensors. Such fragmented and sensor-dependent approaches limit scalability and increase system cost, particularly in high-volume and resource-constrained vehicle markets. To address this gap, this …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 41–52 Read article
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Emerging Trends in Data Structures for Modern Machine Learning Applications
Abstract: In the realm of machine learning, data structures play a pivotal role in facilitating efficient data manipulation, storage, and retrieval, thereby significantly impacting the performance and scalability of machine learning algorithms. In recent years, the field of machine learning has witnessed the emergence of novel data structures tailored to address scalability and efficiency challenges inherent in handling large-scale and high-dimensional data. This study provides a look at the data preprocessing, …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article
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Identification of Elastic Constants of Polymer based Composites through Vibration Test Data
Abstract: This paper presents sex per mental and analytical methods of determining elastic constants of two different kinds of materials. Elastic constants of unidirectional glass/epoxy laminates and Aluminium from the measured eigenfrequencies has been performed. Traditional ‘strike method’ is adopted for the exciting the structure and response is obtained through accelerometer. Vibration analysis is carried out using frequency response function (FRF) measurement technique to determine natural frequencies and mode shapes. Elastic …
Published in Journal of Polymer & Composites · Vol. 5, Issue 3, 2017 · pp. 16–21 Read article
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Extracting High Dimensional Data by Using Fast Clustering Based Feature Subset Selection System
Abstract: AbstractThis paper presents the feature assortment involve identifying a subset of the majority valuable features with the intention of produce companionable results the same as the inventive complete set of features. A feature assortment system could exist evaluate commencing both the effectiveness and efficiency points of analysis. Although the effectiveness concerns the point in time necessary in the direction of locate a subset of features, the efficiency is linked toward …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 3, Issue 3, 2016 · pp. 1–13 Read article
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Effect of Patient Counseling in Improving Physical and Mental Health of Type-2 Diabetes Mellitus Patients
Abstract: Diabetes mellitus is a heterogeneous metabolic disorder characterized by chronic hyperglycemia with insulin hypo-secretion or insulin insensitivity. Despite the availability of treatment, diabetes has remained a major cause of death. The main goal of any medical care is the improvement of the patients’ overall quality of life. The aim of this paper was to assess the impact of pharmacist provided patient counseling on physical and mental health outcomes in type-2 …
Published in Research and Reviews: A Journal of Medicine · Vol. 4, Issue 2, 2014 · pp. 16–19 Read article
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Reliable Data Transport in Platform-Based WSN
Abstract: Wireless Sensor networks (WSNs) are being used widely in the data to day life of human. Sensor network is a collection of tiny sensors connected through different Wireless medium. The main aim of sensor networks is to monitor and control of physical environments from remote locations with better accuracy. WSNs are having a wide range of applications areas such as military battle fields, environmental monitoring, health monitoring sensors in network …
Published in Recent Trends in Sensor Research & Technology · Vol. 1, Issue 1, 2014 · pp. 16–21 Read article
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Breast Cancer at Community Level in Bangladesh
Abstract: Background: Breast cancer is an issue of gaining concern in Bangladesh that causes high mortality and morbidity. Lack of screening and surveillance programme contributes to this. Almost no baseline data were found in this issue, though Government of Bangladesh launched a breast cancer surveillance programme based on clinical breast examination (CBE). This research was an effort to produce some baseline data to strengthen the programme of Government of Bangladesh. Methods: …
Published in Research and Reviews : Journal of Surgery · Vol. 8, Issue 2, 2019 · pp. 4–7 Read article
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Research on Adversarial Disturbance Based on Meteorological Time Series Data
Abstract: When the deep learning model is used to predict time series data, it is easy to be adversarially attacked. The time series data is sensitive to the abnormal disturbance and has strict requirements on the disturbance amount. To solve these problems, we propose to generate adversarial time series by adding disturbance terms to the original time series, and design an adversarial attack algorithm based on the importance measure (AAIM in …
Published in Journal of Industrial Safety Engineering · Vol. 9, Issue 3, 2022 · pp. 1–19 Read article
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Genetic Algorithm Based Tree Formation in Wireless Sensor Networks
Abstract: A typical task in wireless sensor networks is to collect data through nodes of sensor network towards sink. wireless sensor network has various data gathering techniques based on tree, data gathering based on chain and data gathering based on hierarchy etc. This paper shows a tree formation technique used in the data gathering. The data is collected from different sensors forward and towards the sink node for this purpose. The …
Published in Journal Of Network security · Vol. 3, Issue 3, 2015 · pp. 22–32 Read article
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An Exploration on Data Mining for Face Detection based on Real time Face Tracking
Abstract: AbstractData mining has been extensively used to gather meaningful information and to improve the significant relationship for the variables warehoused in large data stores. Machine learning provides the technical basis of data mining. Automatic face recognition research which try to give the computer ability to recognize face to distinguish characters. As a key technology of biometrics face recognition technologies, in public security, information security, financial, and other fields has potential …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 3, 2014 · pp. 46–51 Read article
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IoT-based Black Box Monitoring for Vehicle Crash Data Analysis and Improving Safety
Abstract: Road accidents are a significant global concern. This project proposes an Internet of Things (IoT)-based black box monitoring system for vehicles to enhance road safety through comprehensive crash data analysis. The system expands on traditional black boxes by incorporating various sensors (accelerometers, gyroscopes, GPS) and potentially in-cabin cameras (with privacy safeguards). This data offers a deeper understanding of crash dynamics, including impact severity, vehicle motion, and safety system deployment timing. …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 3, 2024 · pp. 7–13 Read article
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Unveiling Library Usage Patterns: A Python-based Descriptive Analysis of Big Data in Librarianship
Abstract: This study analyses circulation data from Vivekananda Library, Maharshi Dayanand University, Rohtak, Haryana, India, for the academic year 2022-23. The analysis is conducted using descriptive statistics and Python programming to understand library resource utilisation patterns, temporal trends, and user behaviour. The findings reveal distinct usage patterns across the four quarters, with variations in the number and types of transactions. Temporal trends show fluctuations in library usage based on academic calendars …
Published in Journal of Advancements in Library Sciences · Vol. 11, Issue 1, 2024 Read article