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136 articles for “cluster analysis”
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Palm Recognition Using Hybrid Algorithm
Abstract: Biometric system is becoming more popular and increasingly important, since they provide more reliable and accurate means of identification. Now a days biometrics system is used almost everywhere for identification. In Japan, banks have used the palm vein authentication technology for customer identification since July 2004. In addition, Fujitsu has integrated the technology into the access control of electronic door lock systems. Their system has a false acceptance rate of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 3, 2015 · pp. 12–19 Read article
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Improving Node Efficiency in Wireless Sensor Networks Using Advanced Clustering and Routing Techniques
Abstract: Many Internet of Things (IoT) applications, such as disaster relief, smart buildings, smart farming, and healthcare monitoring, have made use of wireless sensor networks (WSN). It is one of the alternatives to address different IoT difficulties in different contexts. One of the main problems with sensor networks is power efficiency. WSN operated on the Client-Server (CS) architecture in the past, however researchers suggested Mobile Agent (MA) based WSN to increase …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 · pp. 35–64 Read article
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Evaluation of Different Movement Models and Routing Protocols in VANET
Abstract: Understanding the mobility characteristics is important for designing and analyzing of routing schemes for VANET (Vehicular ad hoc Network). It’s also important for the VANET, where node movement is used for message transmission. Movement is an important task in VANET due to the uncertain mobility and intermittent behavior of the nodes. Most of the research work in VANETs has been done in the area of routing and forwarding. In this …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 3, Issue 1, 2016 · pp. 37–40 Read article
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A Review on Heart Disease Monitoring System by Using Machine Learning
Abstract: Heart disease is one of the most popular diseases which can lead to reduce the lifespan of human beings now a day. Every year 17.5 million people are get dying due to heart disease. Researchers have been using various types of data mining techniques and machine learning algorithms to help in the diagnosis of heart disease and various other type of diseases. Health care Centre collects large amount of data. …
Published in Recent Trends in Programming languages · Vol. 7, Issue 1, 2020 · pp. 1–6 Read article
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Hadoop and Map Reduce for Simplified Processing of Big Data
Abstract: Big data refers to large and complex data sets made up of a variety of structured and unstructured data, which are too big, too fast, or too hard to be managed by traditional techniques. Hadoop is an open source software platform for structuring big data on computer clusters built from commodity hardware and enabling it for data analysis. It is designed to scale up from a single server to thousands …
Published in Current Trends in Information Technology · Vol. 6, Issue 3, 2016 · pp. 1–6 Read article
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Effect of Seaweed Extracts Mediated Changes on the Germination and Pigment Concentration of Cluster Bean (var. Pusa naubahar)
Abstract: ABSTRACTThe effect of crude extract from the brown seaweed Sargassum wightii and Ulva lactuca on the seed germination, growth and pigments feature of the legume plant cluster bean was studied. The findings of the present study reveal the seed germination, morphological parameter and pigment analysis. These results suggest that seaweed extracts induce stronger seed germination and growth parameters.Keywords: Seaweed extracts, cluster bean, seed germination
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 1, Issue 2, 2012 · pp. 9–12 Read article
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Prevalence and Risk Factors of Neglected Tropical Diseases Among Women and Children in Rural Liberia: A Regional Perspective
Abstract: Neglected Tropical Diseases (NTDs) remain a critical public health challenge in Liberia, disproportionately affecting women and children in rural regions due to systemic inequities in water, sanitation, and healthcare access. This cross-sectional study assessed the prevalence and risk factors of NTDs among 1,000 participants (600 children above 15 years and 400 women aged 15–49) in rural Liberia using stratified and cluster sampling. Laboratory diagnostics, including Kato-Katz stool analysis, urine filtration, …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 2, 2025 · pp. 1–7 Read article
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Routing Protocols in FANETs with Future Enhancements
Abstract: Flying Ad Hoc Networks (FANETs), which are swarms of Unmanned Aerial Vehicles (UAVs), are an emerging solution which revolutionized the area of mission-critical and infrastructure-less communication systems. These networks provide real-time data transfer for use cases such as disaster relief, battlefield observation, environmental monitoring, and 6G-based smart cities. However, the dynamic profile of FANETs, which is defined by high 3D mobility, limited energy resources, unstable wireless links, and constant topology …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 8–13 Read article
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Deep Learning for Grape Cluster Segmentation
Abstract: Grape cluster identification and its segmentation for the purpose of vineyard total weight prediction tasks indicate the need for more accurate segmentation atomization. The Grape Cluster Segmentation challenge is supplied as an answer the usage of deep neural community fashions including YOLO v3, Mask RCNN, and U-net. In the sense of a modified U-net model for segmenting grapes using training and testing strategies, this contribution contributes to the validation of …
Published in Recent Trends in Programming languages · Vol. 8, Issue 2, 2021 · pp. 23–32 Read article
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Practicing Economy of Nature through Traditional Rice Variety Conservation: A Case Study from West Bengal, India
Abstract: AbstractTraditional rice varieties (TRVs), continue to be cultivated defying the allurement of high-profits from cultivating high yielding varieties. The reasons why TRVs are still cultivated, withstanding extreme pressures leading to disappearance of many TRVs are interesting, especially for their associated non-market values. This study documents 50 TRVs being cultivated by farmers (n= 488) in three districts of West-Bengal, followed by a criterion-based analysis using UPGMA algorithm applied with Bray-Curtis similarity-index …
Published in Research & Reviews : Journal of Botany · Vol. 6, Issue 3, 2017 · pp. 20–35 Read article
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Spatiotemporal Analysis of Mean-Field Coupled Lorenz Oscillators for Applications in Electronic Network Design and Chaotic Synchronization
Abstract: This study investigates the spatiotemporal behavior of a network of 100 coupled Lorenz oscillators interacting through mean-field coupling with coupling strength κ = 0.1 and explores its relevance to electronic system design and nonlinear network architectures. While each oscillator follows classical Lorenz dynamics, the coupling mechanism enables collective behavior that resembles synchronization phenomena observed in distributed electronic and communication systems. Numerical simulations reveal rich dynamical characteristics including partial synchronization, emergent …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 · pp. 1–9 Read article
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Introduction to Biological Networks and their Contributions to Systems Biology
Abstract: Biological networks provide a conceptual framework to represent and analyze the intricate interconnections among the numerous components that make up living systems. This review paper elucidates the foundational principles of networks and their diverse applications in systems biology, highlighting their crucial role in understanding the inherent complexity of biological processes. Utilizing graph theory, these networks represent entities like genes, proteins, and metabolites as nodes, with their interactions depicted as edges. …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 1, 2024 · pp. 53–70 Read article
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An Overview on Time Series Data Clustering
Abstract: This paper gives an overview on time series clustering, which is an important topic now days. Time series data is has importance because of its applications, such as financial data processing like Stock Exchange, network monitoring, web click-stream analysis, sensor data mining, marketing research, and anomaly detection. Therefore in the data mining clustering such data is an important issue. Time series data are a special type of data set and …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 3, 2014 · pp. 6–9 Read article
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Advancements in K-Means Clustering: Boosting Algorithm Performance through Innovations
Abstract: K-Means clustering is a widely used unsupervised learning algorithm for partitioning a dataset into distinct clusters. Despite its popularity and simplicity, K-Means has several limitations, such as sensitivity to initial centroids, convergence to local minima, and inefficiency with large datasets. This paper reviews recent advancements aimed at addressing these challenges and enhancing the performance of the K-Means algorithm. Innovations include improved initialization methods, such as K-Means++, which significantly reduce the …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 30–37 Read article
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Plant Physiology Research in India, Japan, and Germany during 2001 – 2020: A Scientometrics Study
Abstract: This study designed to explore the research collaboration activity of India, Japan, and Germany in plant physiology. Scientometrics and data visualization techniques have been used for analysis. Plant Physiology is divided into related subject subfield for downloading data from the Scopus database. The study used 25766 data of article publications, in this 11132 for Germany, 8108 for Japan, and 6526 for India have been selected for final analysis. Total four …
Published in Journal of Advancements in Library Sciences · Vol. 9, Issue 3, 2022 · pp. 28–38 Read article
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Evaluation of Machine Learning Classifiers for Sentiment Analysis
Abstract: Sentiment in social media refers to users’ emotions and opinions through their posts and interactions. Sentiment analysis (SA) refers to relating and classifying the sentiments expressed as engagement and interactions between users. When analyzed, tweets frequently produce a large source of clustered data. These data help determine people’s opinions about a variety of motifs. Thus, this study presents an Automated Machine Learning (ML) Sentiment Analysis Model to detect media sentiment. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 141–154 Read article
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Synthesis and Application of Zeolite A from Kaolin Obtained from Dei Dei, Bwari Area Council, Abuja
Abstract: In this study, the synthesis of Zeolites from Kaolin obtained from Dei Dei, Bwari Area Council, Abuja was successfully carried out using standard methods (novel process of dealumination). Meta kaolinization was achieved by thermal activation of kaolin at the temperature range of between 600–900°C for 2 hours in a furnace and followed by dealumination with NaOH in an oven at 120°C for 6 hrs in order to achieve a desire …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 24, Issue 3, 2022 · pp. 34–42 Read article
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Dual Principal Component Analysis in Software Reliability Studies
Abstract: Software usage has been occupying major parts in all the activities of individuals as well as organizations. Expectation of the end users about failure free operations of software is also increasing rapidly. Zhang and Pham defined 32 environmental factors for studying reliability of software and categorized them into five groups. Later Zhu et al. proposed to use information about three principal components extracted from 10 environmental factors only to study …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 41s–46s Read article
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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