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1956 articles for “Mean” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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A Gamified Digital Platform for Sustainable Farming Practices: Simulation, Statistical Analysis, and Water Resource Management Implications
Abstract: Sustainable farming practices play a critical role in enhancing agricultural water use efficiency, conserving limited water resources, and ensuring long-term food security under increasing environmental and climatic pressures. Despite their importance, farmer participation in conventional agricultural extension and training programs remains limited due to low engagement and a lack of sustained motivation. To address this challenge, this study proposes a gamified digital decision-support platform aimed at promoting sustainable agricultural and …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 13–24 Read article
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Thornthwaite’s Potential Evapotranspiration Rate Assessment and Implication on Rainfall Induced Floods in a Coastal Expanse of Nigeria
Abstract: This study examined the potential evapotranspiration (PET) rate effects on rainfall-induced floods within Port Harcourt, a coastal city in Nigeria. Mean monthly rainfall and air temperature data for 39 years (1979–2018) was sourced from the Nigerian Meteorological Agency and used to evaluate the potential evapotranspiration (PET) of the area using the Thornthwaite’s method. Results revealed that the mean rainfall and PET values for Port Harcourt during the periods under review …
Published in Journal of Water Resource Engineering and Management · Vol. 10, Issue 1, 2023 · pp. 15–24 Read article
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Compact Method for Analyzing Big Data
Abstract: Big Data Analysis (BDA) method is proposed in this paper. A compact method (K-Means Cluster, Generalised K-Means Cluster, C-Means, Fuzzy Means, Fuzzy Numbers, Fuzzy Set, Fuzzy Logic, Neural Network, Genetic Algorithm) based big data analysis is presented in this paper. There are four models are presented as, probabilistic model, possibility model, fuzzy model and variance model. A compact algorithm is illustrated also in this paper.Keywords: Big Data, K-Means Cluster, Generalised …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 2, 2020 · pp. 5–14 Read article
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Image Super Resolution Using Back-Projection based on Canny Edge Detection and Gabor Filter Prior
Abstract: In recent years, due to the advancement of mixed media instrumentation and machine gadgets, single-image super resolution has currently been converted into a thought subject. Super-resolution is the procedure of improving a high-resolution image from varied low-resolution pictures of a similar scene. The key goal of super-resolution imaging is to reproduce a higher-resolution image focused around a group of pictures, procured from a similar scene and indicated as “low-resolution” pictures, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 3, 2015 · pp. 48–56 Read article
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Big Data Management: Theory & Practice
Abstract: In this paper, Big Data Management is studied. There is finite number of information in Big Data and correspondingly its method of analysis exists. Big Data Analysis (BDA) method is proposed in this paper. A compact method (K-Means Cluster, Generalised K-Means Cluster, C-Means, Fuzzy Means, Fuzzy Numbers, Fuzzy Set, Fuzzy Logic, Neural Network, Genetic Algorithm) based big data analysis is presented in this paper. There are four models are presented …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 2, 2020 · pp. 13–22 Read article
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In vitro Propagation of Geranium (Pelargonium Graveolens L.) from Nodal Culture
Abstract: AbstractThe present study was initiated to optimize in vitro propagation protocol from nodal culture of geranium. Three surface sterilization treatments were tested, and treatment three-surface sterilization (treatment of explants with 1.5%(w/v) fungicide (Kocide 101) mixed with one drop of soup solution for 1 min, 70% ethanol for 1 min and with 1% NaClO for 3 min and again with 70% ethanol for 1 min was used throughout the experiment with …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 4, Issue 2, 2015 · pp. 23–34 Read article
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Theoretical Study of Z = 122 Nuclei
Abstract: We used atomic nuclei with proton number Z = 122 to calculate bulk properties within the relativistic mean field (RMF) theory. We utilized the force parameters recognized as NL3 in our calculations. We extend our calculation to isotopic series of Z = 122 and analyses the theoretical outcomes. A whole isotopic chain of nuclei with atomic number 𝑍 = 122 Z=122 is included in our inquiry, enabling a methodical examination …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–9 Read article
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A study to Assess the Effectiveness of Structured Teaching Program on Knowledge Regarding Homecare and Management of Asthma among Asthmatic Clients in a Selected Hospital at Amritsar
Abstract: Asthma is a common disease worldwide with significant ethnic and regional variation and increasing morbidity and mortality as well as health care burden from asthma has been recognized lately. Asthma is one of the major causes for discomfort and death. Due to its chronic characteristics, it is one of the major concerns nowadays. The present study’s objective was “to assess the effectiveness of structured teaching program on knowledge regarding home …
Published in Journal of Nursing Science & Practice · Vol. 5, Issue 2, 2015 · pp. 22–27 Read article
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Customer Segmentation for Enhancing Customer Centric Business
Abstract: Customer segmentation is grouping customers based on similarities so companies can approach each group for marketing effectively and appropriately. Customer segmentation is important for enhancing customer centric business for gaining retention among customers by campaigning them using better marketing strategies, causing more institutional benefit. This paper segments customers by analyzing their characteristics based on both demographic and behavioral attributes using K-Means clustering algorithm and Self-Organizing Maps (SOM). K-Means is a …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 1, 2021 · pp. 17–31 Read article
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A Cross Sectional Study on Workplace Stress among Nursing Staff at a Tertiary Care Teaching Hospital in Haryana
Abstract: Stress among healthcare staff especially the nursing profession is becoming a common occurrence in most public health services. The present survey was therefore conducted to find out the level and different sources of workplace stress among nursing staff. The cross sectional study was carried out among 70 female staff nurses working in different departments during 2012. Stratified random sampling technique was adopted to include nurses working in various departments of …
Published in Research and Reviews: A Journal of Medicine · Vol. 1, Issue 1, 2011 · pp. 19–22 Read article
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Singing and Speaking Voice Characteristics of Trans MtF
Abstract: Compared to other developed countries, in India, the transgender community are often overlooked as a non-existent community. These individuals are considered cursed, punished and therefore are forced to remain completely uninvolved in important matters of the society. Among all of the existing problems already faced by this community, misidentification of their gender based on the voice is a matter of concern. Among this group, most of them are engaged in …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 6, Issue 3, 2019 · pp. 1–4 Read article
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A Novel Clustering Techniques Evaluation using Monte Carlo Simulation
Abstract: In Machine Learning clustering is one the most significant method. Today, we have data in rich from many sources but in order to get meaningful information from it is very boring task. Machine learning clustering algorithms to create cluster to decode the meaningful information from the data, this analysis approach has gained much popularity in recent years. This paper explores evaluation performance of frequently used existing clustering techniques such as …
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 3, 2021 · pp. 1–23 Read article
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Graph Sampling by Spanning Tree under Stratified Setup
Abstract: The sampling theory and its methodologies are based on assumption that the population under survey is of individuals and respondents have provided the answer of questions asked. When population is of graphical structure like containing nodes and edge links then it is complicated to apply the usual sampling procedures. Spanning tree is specified type of a graph, which is always connected with all nodes and becomes a sub-graph. Assume that …
Published in Research & Reviews : Journal of Statistics · Vol. 5, Issue 2, 2016 · pp. 11–31 Read article
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To Assess the Effectiveness of Structured Teaching Program on Nosocomial Infection and Its Prevention Among Staff Nurses Working in Shri J.G. Co-Operative Hospital Society, Ghataprabha, Karnataka
Abstract: Aims: To evaluate staff nurses’ knowledge of nosocomial infections. To examine the impact of a systematic teaching curriculum on staff nurses’ ability to avoid nosocomial infections. Furthermore, to ascertain the relationship between staff nurse pre-test knowledge and specific demographic factors. Methods: In order to investigate and evaluate the staff nurses’ level of knowledge regarding nosocomial infection prevention, an evaluatory research approach was used for this study. Pre-experimental design was determined …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 8–11 Read article
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Country Cluster Visualization Based on Agricultural Imports: Unsupervised Learning Approach
Abstract: The clustering algorithm used in this analysis makes it easier for policymakers to understand performance metrics. K-means clustering has been demonstrated to be a tool for analyzing countries' agricultural imports and a visualization tool for interpreting the results in this study. Authors have used agricultural imports from 190 nations from Knoema, a web-based open data platform. Cereals, meat, and coffee imports from 190 nations in 2016 are included in the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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“Evaluation of superoxide Dismutase (SOD) enzyme level and some indicators in people exposed to smoke”
Abstract: The aim of this study is to assess the level of SOD enzyme and its impact in people who are exposed to smoking, in addition to measuring C-interactive protein, and finally measure a complete picture of blood samples taken from patients. The results of the current study showed there is a significant differences (p<0.05) in the activity of the SOD. The mean of SOD activity in patient was 127.9 U/ml …
Published in International Journal of Toxins and Toxics · Vol. 1, Issue 2, 2024 · pp. 52–55 Read article
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Impact of Total Quality Maintenance Parts on The Operation of Electric Motor in Thermal Desorption Unit
Abstract: Thermal desorption Unit been a vital equipment with complex applications in the sections of waste and minerals treatments, suffers intensively in the managerial section as a whole. This paves a way towards the aim of this research work which covers the type of the impact of Total Quality maintenance electric motor parts on the Operation of the Thermal Desorption Unit [TDUs] using that of the Halden Nigeria Limited, located within …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 14–25 Read article
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The Role of Adaptive Filters in Enhancing Acoustic Echo Cancellation Efficiency in Noisy Environments
Abstract: The novel approach that this work discusses is a DCD-based iterative learning filter approach improved with deep learning methodologies, designed to improve the efficiency of acoustic echo cancellation. The proposed system can really manage both linear and nonlinear echo scenarios, dynamically adapting to fluctuating acoustic environments. The above comparative evaluations with standard filter, the standard RLS filter, indicate that the mean square error, and the standard deviation of the correlation …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 2, 2024 · pp. 9–24 Read article
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Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article
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Optical Image Sensing and Analysis of Iron Ore Pellets: A Machine Learning Approach
Abstract: The present work is aimed to improve quality control in steel production using SEM imaging and machine learning. High-resolution SEM images of iron ore pellets, primarily composed of hematite and magnetite, are analyzed to understand their microstructural features, which significantly impact pellet performance during reduction processes. Traditional microstructure analysis is manual, time- consuming, and prone to inconsistencies. This study proposes an automated approach using K-Means Clustering, Canny Edge Detection, DBSCAN, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 7–18 Read article