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19 articles for “Kernel k-means”
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Performance Analysis of Hierarchical and Non Hierarchical Clustering Techniques
Abstract: Clustering is a procedure to organizing the objects in to groups or clustered together, based on the principle of minimizing the intra-class similarity. The various clustering algorithms are analyzed and compare the performance of clustering algorithms on aspect for validity indices to build the model. The aim is to judge the efficiency of different clustering techniques on wine dataset and determine the optimum algorithm. The results show that complete linkage …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 2, 2020 · pp. 54–71 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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Intelligent Document Scanner
Abstract: AbstractThere is an irresistible trend in the present world for scanning the paper documents and convert it into a digitalized format. Most of these scanning treat the whole document as an entire image. In this scenario, we propose a novel “Intelligent Document Scanner” which automatically segment and classify the contents of the image document including texts, tables and images and store it as a PDF document with three sections that …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 2, 2016 · pp. 47–57 Read article
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Effect of Insect Infestation on the Physical Properties of Black Gram (Vigna Mungo)
Abstract: AbstractThough sample research has been conducted to study the effects of insect infestation on the quantitative and qualitative changes in food grains, no elaborate work has been reported on the effects of infestation on the physical properties of grains. In this research, physical properties of black gram including size, geometric mean diameter, sphericity, surface area, aspect ratio, 1000 kernel mass, bulk density, true density, porosity, specific gravity, angle of repose …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 5, Issue 1, 2016 · pp. 17–24 Read article
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HANKEL TRANSFORMATION FOR THE CHAOTIC BIONANOSTRUCTURES DUE TO Z+ BIS INTAKE: SYMMETRIC FOURIER KERNEL OF THE PERTURBED ORGANIC BIOMECHANICAL SYSTEMS
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 In this universe, we observe several BIS processes, which generate intense and far-reaching BIS fields in the human body. BIS means breakdown of integrated systems. BIS load successfully explains several observed phenomena in human traumatology and critically examines the probability of traumatic consequences of individuals having high BIS load. In this paper, the authors have given a generalization of the Hankel …
Published in Journal of Experimental & Applied Mechanics · Vol. 5, Issue 2, 2014 · pp. 19–26 Read article
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Comparative Evaluation of Pedigree-Based and Genomic BLUP Models for Wheat Grain Yield Prediction
Abstract: Before genome-wide molecular markers became affordable, plant and animal breeding relied on pedigree-based prediction (P-BLUP), using the expected additive relationship matrix (A) derived from recorded ancestry. Genomic selection replaced or augmented this with a marker-derived genomic relationship matrix (G; GBLUP), and single-step methods combining A and G are now standard when only a subset of a breeding population is genotyped. It is less clear whether pedigree information retains any predictive …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 1–9 Read article
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Particle Swarm Optimization Framework for Accurate Battery State-of-Charge and Remaining Useful Life Estimation
Abstract: Accurate estimation of the State of Charge (SOC) and State of Health (SOH) of a battery is key to safe and efficient management of batteries in electric vehicles and energy-storage systems. However, it is challenging due to high nonlinearity, varying operating conditions, measurement noise, and limited access to comprehensive electrochemical parameters. Traditional data-driven models often generalize poorly and require heavy tuning, which can produce unstable predictions. To address these problems, …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 53–64 Read article
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Study on the Degradation of Total Petroleum Hydrocarbon (TPH) by Water Hyacinth Co-composts
Abstract: AbstractThis study was carried out to investigate the rate of total petroleum hydrocarbon (TPH) by water hyacinth co-compost at the Teaching and Research Farm, Faculty of Agriculture, Delta State University (DELSU), Asaba Campus. Five (5) kg of soils was collected from the school farm and measured into eighty-four (84) experimental pots and the treatments were arranged in 4×7 factorial experiment in a completely randomized design replicated three (03) times. The …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 8, Issue 3, 2019 · pp. 20–26 Read article
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Geospatial Depiction of Groundwater Level Disparities on a Temporal Component over Portions of Cuddapah District, India Using Contemporary Geo Tools and Interrelated Statistics
Abstract: This paper mainly focuses on comparing methods such as Deterministic methods, Geostatistical methods and Interpolation methods in order to obtain a good fit to represent groundwater level disparities existed in the study area from 1996 to 2015. Inverse Distance Weighting, Global Polynomial Interpolation, Radial Basis Functions, Local Polynomial Interpolation, Kriging, Empirical Bayesian Kriging, Kernel smoothing and Diffusion Kernel were the methods tested for the present study. The data set procured …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 6, Issue 2, 2017 · pp. 13–29 Read article
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Machine Learning Assisted Design and Analysis of Polymer Composite Materials for Sustainable Renewable Energy Systems
Abstract: Accurate prediction and optimization of polymer composite properties is of paramount importance in the design of these lightweight, durable, and sustainable materials within renewable energy technologies. This work will provide a holistic machine learning-assisted framework that unites materials informatics with domain-specific features and state-of-the-art ML methodologies in the prediction of the mechanical properties of polymer composites, such as tensile strength. This includes embedding several ensemble models, including Random Forest and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 391–402 Read article
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Classification and Detection of Brain Tumor using Convolutional Neural Network
Abstract: Tumors are masses created when brain cells multiply uncontrollably. A brain tumor is the medical term for this condition. Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Developing a treatment plan is essential to raising a patient's standard of living. Tumors in different regions of the body are evaluated using a variety of imaging techniques, with MRI pictures being utilized mostly for …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article
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Effects of Blended Fertilizer Rates on Growth, Yield and Quality of Malt Barley (Hordeum distichum L.) Varieties at Mekdela District, South Wollo, Ethiopia
Abstract: Malt Barley is main cash-crop in Ethiopia, whose yield was constrained by lack of improved varieties, and declining soil fertility due to nutrient depletion. A field experiment was conducted to study the effects of Blended fertilizer rates on growth, yield and quality of malt barley varieties at Mekdela District, South Wollo, Ethiopia. The experiment was laid out in Randomized Complete Block Design with factorial arrangement with three replication and consisted …
Published in Research & Reviews : Journal of Botany · Vol. 10, Issue 1, 2021 · pp. 23–35 Read article
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Design of a Raspberry-pi based Wireless Adapter for Projector
Abstract: Wired world is transforming to wireless and this transformation generates necessity to innovate and create the wireless means. This paper proposes a wireless adapter to convert the existing wired projector into a wireless projector without major changes to projector hardware. Based on a development of the wireless adapter, a new feature of wireless projection is possible by transferring the information without any physical medium by establishing a wireless network between …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 2, Issue 1, 2015 · pp. 9–15 Read article
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Machine Learning-Based Structure–Property Quantification of Advanced Polymer Composites
Abstract: Advanced polymer composites are widely used in high-performance engineering due to their superior mechanical and multifunctional properties. Accurate structure–property quantification is essential for efficient material design and reducing experimental costs. Existing Machine Learning (ML) approaches often exhibit limited predictive generalization due to inadequate feature discrimination and suboptimal hyperparameter tuning. To address these limitations, the proposed method enhances the ability to capture the complex nonlinear interactions among composite structural descriptors. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Empirical Analysis of Cache-Efficient In-place Matrix Transposition on Multicore Processors
Abstract: Performance and scalability of cache-efficient in-place matrix transposition algorithms has been experimentally evaluated in this paper. Cache-efficient in-place matrix transposition algorithms namely cache-aware and cache-oblivious are analyzed on multicore machines for performance and scalability. We propose low-level optimization for cache-efficient in-place matrix transposition and find the best configuration for them. The optimization of algorithms has been made by using efficient iterative kernel. The best tile size for cache-aware and best …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 2, 2019 · pp. 1–15 Read article
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Nano-enhanced Bio-based Phase Change Materials: A Brief Revie
Abstract: The high latent temperatures and variable melting points of bio-based phase change materials make them ideal for thermal control. This covers heat regulation for medical and pharmaceutical items, building comfort, and high-end electronics and automobiles. In recent years, research and application of energy-saving materials and technologies in buildings has increased strength. Modern construction technology aims to keep old and new structures energy efficient. TES employing PCMs is an energy-efficient approach. …
Published in Journal of Polymer & Composites · Vol. 11, Issue 4, 2023 · pp. 15–27 Read article
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Digital Twin Assisted Intelligent Prediction of Polymer Composite Degradation Under Environmental Exposure
Abstract: Polymer matrix composites (PMCs) deployed in aerospace, marine, automotive, and renewable-energy structures are continuously subjected to coupled environmental stressors — ultraviolet (UV) radiation, moisture ingress, thermal cycling, and mechanical loading — that progressively degrade their mechanical performance. Conventional accelerated ageing tests and empirical lifetime models are time-consuming, destructive, and poorly suited to in-service, asset-specific degradation forecasting. This paper proposes a Digital Twin (DT) assisted intelligent prediction framework that fuses a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Assessing Soil Nutrients Through IoT for Enhanced Farming and Agricultural Intelligence
Abstract: Soil fertility is of paramount importance in agriculture, as it directly impacts the capacity of plants to flourish and develop. Recent advancements in technology, such as soil sensors and Arduino, offer effective means to assess soil nutrients. Key nutrients for agriculture, including nitrogen, phosphorus, and potassium (NPK), are vital for plant development and are considered primary contributors to soil fertility. Monitoring these nutrients enables farmers to gauge the specific needs …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 1, 2024 · pp. 1–9 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