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366 articles for “Statistics System”
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Indicators of Hospital Service Quality Using Mortality Statistics
Abstract: Death rates have long been used by hospitals as a reliable benchmark for assessing the quality of their medical services. The goal of this study was to determine the gross death rate (GDR) and net death rate (NDR) in King Fahad hospital in Jeddah, Kingdom of Saudi Arabia (KSA), as well as the demographic features of deaths in 2000 according to ICD-10 as indices of hospital treatment quality, from 1994 …
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 3, 2021 · pp. 44–47 Read article
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Distancing From Statistical Hazards: A Pursuit Drivers Herald
Abstract: When the passive drivers meet with accidents, it seems painful. When miscreant drivers cause accidents one feels annoyed, and curses the nasty driver and also the system. Statistics promises help in at least one way- i.e. keeping the safe distance between the two vehicles. Statistically speaking, frequency/ probability of happening of accidents is inversely proportional to the distance. The distance forms a bell shape in normal stopping situations on the …
Published in Journal of Production Research & Management · Vol. 2, Issue 1-2-3, 2012 · pp. 37–49 Read article
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Estimation of Damping Loss Factor for Composite plates by using Half Power Bandwidth Method
Abstract: For the prediction of transmission of sound and vibration through complex structural systems, Statistical Energy Analysis method is widely used. These complex subsystems are generally divided in to simple subsystems. The prediction of transmission of sound and vibration through complex structures or systems depends on three parameters viz. damping loss factors, coupling loss factors and the, modal densities between subsystems. The damping loss factor relates to the power dissipated in …
Published in Trends in Machine design · Vol. 2, Issue 2, 2015 · pp. 26–30 Read article
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IoT-Enhanced Integrated LPG Level and Leakage Detection System
Abstract: Increased statistics of fire outbreak occurrences and gas leakage incidents in both industrial and domestic applications has called for better safety measures in Liquefied Petroleum Gas (LPG) management. Research efforts are therefore geared towards developing solutions which could greatly curb the menace of fire outbreaks and leakages of highly flammable gases. The presented work focuses on the design and fabrication of an IoT-enhanced system dedicated to the monitoring and detection …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 2, 2023 · pp. 9–16 Read article
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Fault Diagnosis of Air Compressor (AC) System using Local Mean Decomposition (LMD) and Logistic Regression (LR) Machine Learning Classifier
Abstract: This article presents a detailed and systematic procedure for performing fault diagnosis in an air compressor (AC) system by analyzing the audio signals generated during its operation. The analysis covers both normal (healthy) conditions and seven distinct types of faults, including bearing failure, flywheel malfunction, inlet valve leakage, outlet valve leakage, non-return valve failure, piston ring defect, and rider belt issues. To acquire the acoustic signals, the researchers utilized a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 416–427 Read article
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A Review Paper on The Mathematical Foundations of Artificial Intelligence
Abstract: Artificial Intelligence (AI) is deeply rooted in various branches of mathematics, which provide the theoretical foundation and practical tools for developing intelligent systems. This paper explores the crucial role of mathematics in AI, focusing on key areas such as Linear Algebra, Probability and Statistics, Optimization Techniques, Calculus, Graph Theory, and Fourier and Wavelet Transforms. Linear Algebra is fundamental for representing and manipulating data, with applications in dimensionality reduction and neural …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 7–14 Read article
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Advanced Anomaly Detection in Cloud Infrastructures Using Deep Learning Algorithms
Abstract: It is critical to guarantee the stability and security of cloud environments as cloud computing is becoming the backbone of contemporary IT infrastructures. Neglecting to quickly identify and resolve anomalies, which might point to security breaches, performance problems, or system breakdowns, can lead to disastrous outcomes. The increasing size and complexity of cloud infrastructures are challenging the effectiveness of traditional anomaly detection methods. These approaches often depend on rule-based systems …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 1–11 Read article
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Characterization and Performance of a Multiphase Lignocellulosic-Polymeric Composite Growth Media in an IoT-Automated NFT Hydroponic System
Abstract: Hydroponics utilizing the Nutrient Film Technique (NFT) entails a type of soilless agriculture involving the delivery of a continuously flowing and thin film of nutrient-filled solution onto the roots of plants. With the move toward sustainable and efficient urban agriculture in the contemporary world and need to produce more effective and resource-efficient solutions, there have been significant efforts aimed at improving these techniques through advanced materials and automation. A consistent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 542–555 Read article
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Nitrogen Fertilizer Rates and Spacing on Yield Components of Pepper Capsicum annum L. at Bure District, North Western Ethiopia
Abstract: Hot pepper is an important spice and vegetable crop in Ethiopia, but its productivity is low due to poor agronomic practices including inappropriate nutrient supply and poor inter-row spacing management. The experiment was carried out in the field in the year 2019/20 to know the effect of the rates of N fertilizer and spacing on the yield-attributed factors of pepper. The experiment consisted of factorial combinations on four levels of …
Published in Journal of Catalyst & Catalysis · Vol. 9, Issue 3, 2022 · pp. 44–54 Read article
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Emerging Technologies Big Data and Cloud
Abstract: Cloud computing is a effective and rising generation to carry out large and complicated computing. It affords a such an surroundings that's reliable & fault tolerant to haven massive information disbursed control systems. Big statistics refers back to the incapacity of vintage statistics architectures to address new statistics units efficiently. In the current times, exceptional boom has been determined in massive statistics domain, generated thru cloud computing. Big statistics remedy …
Published in Current Trends in Information Technology · Vol. 11, Issue 2, 2021 · pp. 16–22 Read article
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An Approach to Translate English Voice to Bangla Text for Android EnvironmentAn Approach to Translate English Voice to Bangla Text for Android Environment
Abstract: Voice recognition and machine translation (MT) has become the open research field in the recent years. Voice or speech recognition technique has improved vastly and MT is getting more popular to the modern generation day by day. In this work, we describe the construction method of MT sentence with the help of Google voice recognizer. An adapting rule based statistical MT system has been used to translate the English sentence …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 2, 2015 · pp. 23–28 Read article
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Machine Translation (MT) Technique: A Review
Abstract: Machine translation (MT) is the process of automatically translating the content from one language (the Source or the input) into another (The Target or the Output) by the use of Artificial Intelligence. The advantage of machine translation is that it can translate large amounts of text in a very short period of time. Translation was one of the first implementations of computing power, beginning in the 1950s. This Project focuses …
Published in Recent Trends in Programming languages · Vol. 8, Issue 3, 2021 · pp. 7–10 Read article
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Statistical Methods in Law: Analysing Trends and Patterns in Judicial Outcomes
Abstract: The research paper explores the integration of statistical techniques within the domain of legal science, emphasizing their role in assessing and interpreting ongoing trends. By employing methods such as descriptive statistics, inferential statistics, and multivariate analysis, the study highlights how empirical data can effectively uncover disparities in areas like sentencing practices, risk assessments, and the evaluation of policy outcomes. These statistical tools enable researchers and legal professionals to identify patterns, …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 32–36 Read article
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Supply Chain Management and Energy Credits in an Assembly Line Automobile Industry for System Optimization
Abstract: AbstractSupply chain management (SCM) is a vital factor to sustain organization in competitive world. In this respect, many organizations and scholars have performed to opt out factors that affect either positively or negatively on SCM. In today’s era, supply chain management has been mandatory in any automobile lines. Supply chain management concerns about the automobile lines in India. Supply chain management emerged in the Indian industries established new methodologies and …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 10, Issue 1, 2020 · pp. 30–54 Read article
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Building a Resilient Climate Regulatory Ecosystem for Nigeria
Abstract: Terrestrial ecosystems, which store more carbon than the atmosphere, are vital to influencing carbon dioxide-driven climate change. Climate and land-use change are critical and interlinked components of the Carbon budget in human-dominated landscape, using the InVEST model maps of land use and stocks in four Carbon pools (aboveground biomass, belowground biomass, soil, dead organic matter) are used to estimate the amount of Carbon currently stored in the landscape and the …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 11, Issue 2, 2020 · pp. 46–62 Read article
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Comparative Analysis of Processing-Property Relationships in Metal and Polymer Matrix Composites: A Unified Statistical Framework for Hardness Characterization
Abstract: Composite materials, encompassing both metal matrix composites (MMCs) and polymer matrix composites (PMCs), exhibit complex processing-property relationships that fundamentally govern their mechanical performance across diverse applications. This study presents a unified statistical framework for analyzing hardness characteristics in composite systems, using aluminum-tungsten carbide (Al-WC) metal matrix composites as a representative model system while establishing connections to polymer matrix composite behavior. The investigation employed comprehensive processing parameter optimization, microstructural characterization, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 419–430 Read article
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A Contribution to the Study of Geographical Displacement of Crime using GIS–Kings Cross, London
Abstract: Displacement of crime is the specter that haunts crime prevention studies, in that, the crime problem does not go away but shifts from one location to another. The fact that crime is not reduced in an area but rather moves around means that trying to change the situation and circumstances surrounding the targeted area may not fully reduce crime. Research that has been previously carried out into the study of …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 3, 2013 · pp. 12–25 Read article
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IoT Based Electricity Theft Detection System
Abstract: The proliferation of smart grids and advanced metering infrastructure has paved the way for innovative solutions to tackle the longstanding issue of electricity theft. This study presents an IoT-based electricity theft detection system that leverages real-time data analytics and machine learning algorithms to identify potential theft cases. The proposed system utilizes smart meters to collect electricity consumption data, which is then transmitted to a central server for analysis. The system …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 18–22 Read article
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AI-Powered Traffic Management System
Abstract: An artificial intelligence (AI)-based traffic management system is an innovative and intelligent project for improving urban traffic control and emergency response using AI and artificial vision. With the rapid increase in vehicle numbers and urban populations, traditional traffic management systems are unable to effectively address all real-time traffic situations due to congestion, fuel consumption, and emergency deceleration. To address these limitations, this project utilizes the YOLOv8 (You Only Look Once, …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 14–19 Read article
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Reducing the Uncertainty of Marine Accidents Failure Rate in Harsh Environment; Using Bayesian Theory
Abstract: The interest in arctic activities is strong, but has not led to significant quantifying analysis over the fact of finding rescannable failure rate. To attract investors and promote the development of a marine industry, a clear concept of project risk is paramount; in particular, issues relating to human role in operation are critical. In the public domain, reliability of information is often scarce or inappropriate for such environment. Also, an …
Published in Journal of Industrial Safety Engineering · Vol. 3, Issue 2, 2016 · pp. 30–39 Read article