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143 articles for “cluster analyses”
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Preliminary In Silico Analysis of Choline Monooxygenase and Betaine Aldehyde Dehydrogenase from Suaeda monoica Forssk. and its Expression in E. coli.
Abstract: AbstractIn a tropical country like India, the yield of crop plants is majorly affected by soil salinity and drought. One of the strategies to address this problem is by introducing genes responsible for salinity/drought tolerance in crop plants. Such genes could be identified and isolated from mangrove plants, as they are known to have evolved certain physiological mechanisms to augment saline environments. One such mechanism is the accumulation of Glycine …
Published in Research and Reviews : Journal of Computational Biology · Vol. 9, Issue 1, 2020 · pp. 10–39 Read article
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Performance Analysis of BEEM using Fuzzy Logic in Wireless Sensor Network
Abstract: Advances in wireless sensor network technology provides the availability of small and low-cost sensor nodes which has capability of sensing various types of physical and environmental conditions, data processing, and wireless communication. This sensing capability results in extremely large amount of application areas. However, the characteristics of wireless sensor networks require more effective method for data forwarding and processing. To upgrade the energy utilization, clustering is one of the prototypical …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 1, 2020 · pp. 31–38 Read article
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Study on Genetic Diversity in Relation to Number of Clusters in Wheat (Triticum aestivum L.)
Abstract: The present investigation was conducted to examine the genetic diversity for several morphological traits in bread wheat (Triticum aestivum L.). The experiment was conducted at the Department of Genetics and Plant Breeding, Janta Vedic College, Baraut, Baghpat (UP), India. The experimental materials consisted of 50 cultivars of bread wheat grown in the randomized block design (RBD) with three replications. Multivariate analysis using D2 statistics [1] was used for assessing the …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 6, Issue 3, 2017 · pp. 18–23 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
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Analysis of Genetic Basis for Morphological Variations in Normal and Tissue Cultured Plants of Andrographis paniculata in Association with or Without Arbuscular Mycorrhizal Fungi using AFLP Markers
Abstract: Andrographis paniculata Nees, a member of Acanthaceae, is one of the important medicinal herbs. The active principle, Andrographolide esters has a paramount importance in pharmaceutics. Morphological variants have been reported both in natural populations collected from various geographical areas and micropropagated plants raised through tissue culture that need to be analyzed with proper molecular tools. In order to facilitate reasoned scientific decisions on its management, conservation and prepare for a …
Published in Research & Reviews : Journal of Botany · Vol. 8, Issue 1, 2019 · pp. 1–11 Read article
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Performance Analysis of AODV, DSR and CGSR Routing Protocol in MANET based on Energy Consumption
Abstract: Mobile Ad-hoc networks (MANET) have gained lots of attention in researches in recentyears, especially in routing protocols due to their dynamic nature. There are number ofrouting protocols in MANET networks and performance of these routing protocolshave been evaluated focusing on metrics such as delay, packet delivery, routingoverhead, throughput. However, not much work has been done to evaluate energyaspect of these routing protocols. Design new energy efficient routing algorithms arebased on …
Published in Journal Of Network security · Vol. 2, Issue 1, 2014 · pp. 21–27 Read article
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Colour Based Segmentation of a Landsat Image Using K-Means Clustering Algorithm
Abstract: AbstractImage segmentation is one of the typical vintage subjects in image processing and it acts as a bulls-eye of the image processing technique. By definition, image segmentation means identifying the similar regions in the image; or in other words, identifying the homogenous pixels in the image and grouping all these pixels based on the homogeneity condition considered. This homogeneity condition can be like, colour, texture, size, compactness etc. It is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 3, 2017 · pp. 31–38 Read article
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A Study on Energy Efficient Coverage Aware Clustering Protocols in Wireless Sensor Networks
Abstract: In this study, energy efficient coverage aware clustering protocols for wireless sensor networks (WSNs) have been investigated by describing various clustering and coverage related issues. The coverage is more closely related to Quality of Service (QoS) coverage problem in WSNs. The term energy efficient coverage aware can be defined as the network lifetime including features like coverage lifetime and energy consumed by sensor nodes. Also, this study analyses the energy …
Published in Journal Of Network security · Vol. 6, Issue 3, 2018 · pp. 9–17 Read article
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Visual Features based Paddy Leaf Disease Recognition, its Severity Detection and Remedy Prediction using K-means Clustering and AdaBoost
Abstract: AbstractAgriculture is a vital part of an economy. Paddy is one of the main food crops which play a major role in agricultural field. The gross national income of a country depends on paddy cultivation. But the production of paddy is damaged due to different types of paddy leaf diseases. Generally, farmers and agricultural experts identify diseases manually which is very ineffective and time consuming. So effective recognition, severity detection, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 3, 2020 · pp. 41–52 Read article
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An Analysis into the Issues of Multi-Agent Data Mining
Abstract: Presently instructional establishments compile and store vast volumes of information like student enrollment and attending records, moreover as their examination results. Mining such knowledge yields stimulating info that serves its handlers well. Ascension in instructional knowledge points to the very fact that distilling huge amounts of information needs an additional subtle set of algorithms. This issue led to the emergence of the sphere of Educational Data Mining (EDM). Ancient data …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 3, 2018 · pp. 1–4 Read article
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Mechanical & Tribological Characterization of Al2024-Alumina-Graphite Reinforced Monolithic and Hybrid Composites
Abstract: This work investigates the mechanical characteristics of Al2024-Al2O3-Graphite reinforced monolithic and hybrid composites fabricated by the stir casting method. Exploratory work involved the fabrication of monolithic composites with varying Al2O3 contents (5-8 wt%) and hybrid composites with the ratios of Al2O3 (2-6 wt%) and Graphite (1-3 wt%) in matrix Al2024. For improving their dispersion, preheated reinforcement particles were introduced in matrix alloy at controlled stirring rates. A homogeneous particle distribution …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 823–836 Read article
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Study Analysis of Geolocational Data with Statistics: A Review
Abstract: The biggest challenge while traveling is looking for a place to stay, and considering doing a complete, thorough analysis of real-world data. The objective of the present study is to refer, clean, fetch, analyze and run K Means clustering on geolocational data to suggest lodgings to the travelers and immigrants of a city; maximizing the likelihood of the distances between the target and the landmarks, given the observed delays, yields …
Published in Journal of Advanced Database Management & Systems · Vol. 9, Issue 3, 2022 · pp. 25–30 Read article
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Comparative Analysis of algorithms for Credit Card Fraud Detection using Data Mining: A Review
Abstract: AbstractData mining is a technique to extract new useful information from existing dataset. It is used to predict various patterns from present dataset. It has a great application in the field of bank and finance. In today’s world, everything is being online, means online shopping, online banking and online payment. The problem faced by them is credit card fraud. In this, we use the data mining techniques such as classification, …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 2, 2019 · pp. 12–17 Read article
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Evaluation and Scientific Investigation: Stock Market Forecasting Techniques
Abstract: Analysts and scholars have consistently shown interest in predicting stock market trends, a complex task given the multitude of variables influencing stock values. This article includes a thorough analysis of 50 research papers that propose methodology for stock market prediction, including Bayesian models, fuzzy classifiers, artificial neural networks (ANNs), support vector machines (SVMs) classifiers, neural networks (NNs), and machine learning techniques. The collected papers are categorized using various prediction, clustering …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 26–40 Read article
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Comparative Analysis of MCNN and RCNN for Speech Emotion Recognition Using Gender Information
Abstract: Speech emotion recognition is a speech processing task and a computer-based approach designed to identify and classify the emotions conveyed in audio signals. The aim of this system is to evaluate a speaker's emotional state, such as happiness, anger, sadness, or frustration, by analyzing their speech patterns, which include prosodic features like pitch, frequency, and rhythm. Speech emotion recognition is used in various real-life scenarios that include Customer Service, Healthcare, …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 1, 2025 · pp. 1–10 Read article
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Fibre Orientation and Void Distribution Analysis in Polymer Composite Structures Using Image Processing
Abstract: Fibre orientation and void distribution are critical microstructural features that govern the mechanical performance and reliability of polymer composite materials. Accurate and simultaneous characterisation of these features remains challenging due to their complex spatial interactions and dependence on processing conditions. In this work, an integrated image-processing framework is proposed for the quantitative analysis of fiber orientation and void distribution in polymer composite structures. High-resolution composite microstructure images are processed through …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 925–933 Read article
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A Detailed Survey on Crime Detecting and Clustering Technique in Data Mining
Abstract: AbstractData mining is the extraction of useful information or the knowledge from the set of data or it’s the process analyzing the data from the various perspectives and summarizing into information which is useful. Detection of crime begins with discovery of crime scene, and proceeds from side to side the process of evidence collected works, identification and the analysis. It is called as an act that is being committed or …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 2, 2017 · pp. 19–26 Read article
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Investigation of Locational and Non-locational Factors Influencing Crash Severity: A Developing World Perspective
Abstract: Traffic crash is one of the major causes of mortality and injuries in Bangladesh. This study provides multiple crash data reviews over four consecutive years, starting from 2016 to 2019 of Chittagong City Corporation. This analysis is intended to assess the impacts of various parameters on the severity of traffic crashes. The study technique consists of several phases. This research provides a broad description of the variables in the first …
Published in Trends in Transport Engineering and Applications · Vol. 8, Issue 2, 2021 · pp. 30–46 Read article
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Parallel Greedy Approach for Phylogenetic Tree Construction in the Context of Marine Species
Abstract: The rebuilding of phylogenetic trees for marine species shows major computing problems because of the massive genomic data and the huge biodiversity inherent in ocean ecosystems. Traditional phylogenetic methods are accurate but become more expensive when they are processing with thousands of marine taxa parallelly. This article shows a critical analysis of parallel greedy algorithms as an adaptable solution for large-scale marine phylogenetics. It examines the main principles of greedy …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 33–45 Read article
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Design and Implementation of an Energy-Efficient Wireless Sensor Network for Remote Monitoring
Abstract: Applications such as industrial automation, environmental monitoring, and agriculture make extensive use of wireless sensor networks, or WSNs. Since sensor nodes frequently operate in remote locations and have limited battery power, energy efficiency is the largest problem in WSN design. This paper presents an energy-efficient WSN architecture that combines optimized clustering and duty-cycling mechanisms to reduce energy consumption and increase network lifetime. The system uses low-power ESP32 nodes with Zigbee …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 1, 2026 · pp. 22–27 Read article