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365 articles for “Statistics System”
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Web Development Using Software Development Life Cycle (SDLC)
Abstract: One of the most powerful, essential, and significant issues in the computer industry is software project development. It is a stage in the software development life cycle (SDLC). The SDLC focuses on minimizing risk and failure while maximizing software product quality. Without a good step-by-step producing technique, the software development process is extremely difficult, hence the software development life cycle was created to make the process easy and systematic. This …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 9, Issue 3, 2022 · pp. 31–35 Read article
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Clinical study on dual plating for delayed unions and nonunions of distal 1/3 and diaphyseal-metaphyseal transition of humerus
Abstract: Background: The best treatment for delayed union and non-union at distal 1/3 and metaphyseal-diaphyseal transition of humerus is not well established. We collected retrospective and prospective outcomes data for patients undergoing open reduction and internal fixation for delayed union and non-union of distal 1/3 and metaphyseal-diaphyseal transition of humerus with use of conventional mono-lateral or dual plating. Methods and Material: Over a 2-year period, 35 patients underwent open reduction and …
Published in Research and Reviews : Journal of Surgery · Vol. 9, Issue 2, 2020 · pp. 10–15 Read article
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Zigzag Systematic Sampling Scheme For Finite Population
Abstract: In the present study, a new sampling scheme is proposed in the systematic setup for estimation of the population mean. The explicit expressions for variance of the sample mean are obtained and compared with the variance of the sample mean of Simple Random Sampling (without replacement) and Linear Systematic Sampling in the presence of a linear trend, two way linear trend and trend of the form . Keywords: Zigzag systematic …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 3, 2018 · pp. 91–107 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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Salient Region Guided Deep Network for Violence Detection in Surveillance Systems
Abstract: Abstract: It is significant to detect violent actions in video surveillance systems automatically, for example, bus stands, malls and railway stations. Though, the earlier detection techniques generally extract statistic features around the spatiotemporal interest points or extract descriptor in the regions where movement takes place, leading to limited abilities to successfully detect violence activities in video surveillance systems. To solve this problem, a new approach for the automatic detection of …
Published in Journal of Computer Technology & Applications · Vol. 10, Issue 3, 2019 · pp. 19–28 Read article
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Rapid Forecasting of Short-run Electric Power Demand Profiles of India Using the Statistical Method of Z Scores
Abstract: Power demand profile prediction for a region or nation is a critical part of the energy system design and operational planning process. A simplified method based on non-dimensionalizing power demand data from previous years using Z scores calculated from the mean and standard deviation of the profiles is developed in this study to forecast monthly demand profiles at time resolution of 1 hour for future years. The Z score range …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 1, 2025 · pp. 38–48 Read article
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Statistical and AI Approaches to Measure Sustainability Performance of Enterprises
Abstract: Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges. Traditional assessment methods, largely based on static indicators and manual reporting, often struggle to capture the multidimensional, dynamic, and data-intensive nature of sustainability. This study explores the integration of statistical and artificial intelligence (AI) approaches to evaluate and enhance the sustainability performance of enterprises in a more robust, accurate, and …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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AI-Enhanced EHR System with Intelligent Prescription Processing and Automated Patient Engagement
Abstract: AI-Enhanced EHR System with Intelligent Prescription Processing and Automated Patient Engagement: A Comprehensive Electronic Health Record and Hospital Management System Healthcare institutions increasingly require digital solutions to manage the growing complexity of patient data, staff coordination, and multi-branch operations. This paper presents an AI-Enhanced EHR System with Intelligent Prescription Processing and Automated Patient Engagement, a full-stack Hospital Management System (HMS) designed to streamline clinical and administrative workflows within modern healthcare …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 2, 2026 · pp. 28–34 Read article
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Internet of Things in Smart Grid: Applications, challenges, Conditions, Architecture- A Review
Abstract: Future-generation intelligent optimisation in electrical system design is essential for managing electrical networks and distribution systems. It also requires interoperability variations in the implementation of physical or graphical models. The Internet of Things (IoT) plays a significant role in smart grids and distributed electricity systems. IoT enables the monitoring of the smart grid's electrical energy and facilitates the integration of real-time data into electrical grid architecture at various levels. Industrial …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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A Critique of Advanced Instrumentation for Supervising and Regulating Renewable Energy Systems
Abstract: The integration of renewable strength property into the power grid necessitates modern-day tracking and manipulate systems to ensure highest best average overall performance, reliability, and performance. This paper offers a comprehensive analysis of advanced instrumentation applied for monitoring and controlling renewable strength systems. Beginning with an outline of renewable energy assets and their importance in addressing environmental worries and electricity sustainability, the compare delves into the challenges inherent in monitoring …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 1–12 Read article
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Assessing Supportive Care Needs Among Breast Cancer Survivors: A Cross-Sectional Study
Abstract: Breast cancer poses a significant global health challenge and ranks among the primary causes of cancer-related morbidity and mortality worldwide. The objective of this study was to evaluate the supportive care needs of survivors of breast cancer and examine how these needs are related to various background factors. To accomplish this, a cross-sectional study was carried out with 116 breast cancer survivors, selected using a convenient sampling method. Data were …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 39–42 Read article
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Data Integration and Visualization in Bioinformatics: Techniques and Challenges
Abstract: Data integration and visualization play essential roles in bioinformatics, facilitating the thorough analysis, and interpretation of intricate biological datasets. In the field of bioinformatics, vast amounts of data are generated from various experimental platforms, such as genomic sequencing, proteomics, transcriptomics, and metabolomics. However, the heterogeneity of these datasets, coupled with their large scale and complexity, presents significant challenges in terms of integration, analysis, and visualization. Data integration techniques aim to …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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The Intersection of Bioinformatics and Cellular Function in Disease Modeling
Abstract: The integration of bioinformatics and cellular biology has revolutionized our understanding of disease mechanisms, offering unprecedented opportunities to model complex biological systems. Bioinformatics is an interdisciplinary field that merges biology, computer science, and statistics, offering advanced tools to analyze vast biological datasets. Cellular functions, including gene expression, protein interactions, and metabolic pathways, form the foundation of physiological and pathological states. Disruptions in these processes can result in diseases like cancer, …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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Anti-hyperglycaemic Effect of Psidium guajava Extracts in Diabetes Mellitus: Systematic Review and Meta-analysis
Abstract: Introduction: Psidium guajava belonging to family Myrtaceae is traditionally used plant for the treatment of diabetes in many countries of the world. This systematic review was designed to determine level of evidence of on the anti-hyperglycaemic effect of Psidium guajava extracts from experimental trials. Methods: An electronic literature search from the database inception was performed since December 2014 with specified terms and defined outcome. We included only experimental study designs …
Published in Research and Reviews : Journal of Computational Biology · Vol. 8, Issue 1, 2019 · pp. 26–33 Read article
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Annotated Bibliography on Biomass Energy
Abstract: It is always of due concern regarding the consistent developing energy systems which involves that the final product requirements should be noted duly, hence this article focuses on the storehouse in a renewable energy system which does not have any usage of fuels such as fossils. It has been statistically estimated that the storage capacity increases efficiently when the factor of conversion losses is included. In the operation of power …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 8, Issue 3, 2018 · pp. 91–96 Read article
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3D Evaluation of Various Rotary Instruments for the Removal of Gutta-Percha and Resilon from Root Canals
Abstract: Aims: To assess the effectiveness of Protaper and Mtwo retreatment files in the elimination of gutta-percha and Resilon from uncomplicated root canalsMethods and Material: Thirty six freshly extracted single rooted teeth with Weine’s class I canal configuration were taken. The crowns were de-crowned to a depth of 16mm, and the working length was determined to be 15mm. Root canal preparation was done using rotary Protaper universal files and irrigated with …
Published in Research and Reviews: A Journal of Dentistry · Vol. 14, Issue 2, 2023 · pp. 7–11 Read article
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Mechanical Characterization of Glass Fiber Reinforced Polyester Composites Modified with Silane Treated Alumina Nanofibers
Abstract: Alumina nanofibers pristine and vinyl silane treated are used as nanofillers in polyester matrix reinforced with woven glass fibers at loading levels of 0.25 w%, 0.5 wt%, 0.75 wt%, and 1.00 wt% and the static mechanical properties are evaluated. The effect of silane treatment on the mechanical behavior, interface damage behavior for these composites is compared. The tensile strength of composites increased with addition of alumina nanofibers and a consistent …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 25, Issue 1, 2023 · pp. 1–19 Read article
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An Analytical Review of Machine Learning Methodologies
Abstract: Machine Learning (ML) is a dynamic and rapidly developing area of computer science that enables the system to learn from data and improve its performance without clear programs. Rooted in statistical theory and computer algorithms, ML has become a major technology that progresses in artificial intelligence. It strengthens the detection of the recommendations and speech for extensive applications from autonomous vehicles and medical diagnoses. This paper has reviewed the basics …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 13–21 Read article
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A Hybrid Mathematical Model for Epidemic Outbreak Forecasting Using Machine Learning and Cloud Computing
Abstract: The increasing frequency of infectious disease outbreaks has emphasized the necessity for intelligent epidemic surveillance systems capable of predicting disease spread at an early stage. Conventional outbreak detection approaches rely heavily on delayed statistical reporting and manual monitoring techniques, resulting in reduced responsiveness during critical periods. This paper presents a mathematical predictive framework for epidemic outbreak detection using machine learning and cloud computing technologies. The proposed framework integrates the Susceptible–Infected–Recovered …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 01–06 Read article
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Hidden Markov Model (HMM) Statistical Model and Learning from Data Concepts Context-Aware Framework: A Basic Design in Accelerometer Based Smartphones
Abstract: This paper proposes a novel system focused on the Secret Markov Model (HMM) mathematical model and the analysis of data concepts. The architecture either considers or predicts device specific inferences named 'device states' for potential context-conscious implementations. Context-aware systems involve continuous data collection and analysis from one or more sensor readings. The battery life of the unit must also be increased due to the reality that the continually operating built-in …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 3, 2020 · pp. 34–41 Read article