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34 articles for “n-dimensional space”
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Information Classification Using Fuzzy Technique
Abstract: Abstract: In this paper, we propose a new method for fuzzy information classification. This method introduces the measurement of similarity between the information and the point in the n-dimensional space which is to be classified. The methodology for the development facility section routine for their placement in an open field is discussed.Keywords: Euclidean, fuzzy decision, information matching, n-dimensional space, pattern similarityCite this Article: Sarat K. Parhi, G. Das. Information Classification …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 6, Issue 3, 2019 · pp. 28–29 Read article
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Breakdown of Physicothermodynamic System of The Human Neural Network in The Fractional Dimensional Space Due To Z+ Bis Intake: Introduction to Photonic & Phononic Nociceptions
Abstract: Nociceptionics deals with the properties, dynamism of nonciceptons, emitted from thequasi-particles of pain perception due to killing or annihilation of living organism in anypart of the globe. The new subject of Nonciceptonics is analogous to the conventionaldiscipline of Digital & Pulse Electronics and Abstract Algebra. In our present work wewill study the characteristics of fractional dimensional space in the human brain as asevere consequence of the nociceptons emitted from the …
Published in Research & Reviews : Journal of Physics · Vol. 2, Issue 1, 2013 · pp. 1–9 Read article
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AI-Driven Multi-Objective Optimization of Conductive Polymer Composites for High-Performance Flexible Electronics
Abstract: The development of conductive polymer composites (CPCs) is critical for advancing flexible and wearable electronic technologies. However, the conventional trial-and-error approach to material formulation is time-consuming and often inefficient due to the high-dimensional nature of the design space. This study introduces a novel AI-driven framework that integrates machine learning (ML) with multi-objective optimization to accelerate the discovery of high-performance CPCs. A dataset of 1,000 experimentally reported formulations was compiled, capturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 734–745 Read article
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Dimensionality Reduction using Eigenfaces and Fisherfaces for Face Recognition Applications using Kernel LMS Algorithm
Abstract: AbstractFace recognition is an intricate numerical technology in computer systems that can support recognition of human faces using methods such as principal component analysis (PCA), linear discriminant analysis (LDA), etc. by comparing the given facial uniqueness with the already available face database. PCA and LDA are classical feature extraction and data representation techniques used in face recognition algorithm involving unsupervised statistical methods. The 2-D facial image can be transformed into …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 29–55 Read article
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Schrödinger Cat's Experiment's Interpretation and Parallel Universe or Multiple Universes
Abstract: Quantum mechanics provides us most fundamental descriptions of our most early universe, but there is a long-standing debate amongst theoretical physicists about what all these mathematics really mean in real world? The present three-dimensional (3D) universe, we humans experience daily since our birth, is probably just one of an enormous numbers of essentially classical worlds, and all quantum phenomena arise from a universal force of repulsions that prevented many universes …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 5, Issue 1, 2016 · pp. 35–52 Read article
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A Study of Carbon Nanotubes in Photovoltaic Devices
Abstract: AbstractArrays of periodic one-dimensional nano materials provide light–matter interaction in terms of tunable optical properties which are attractive for planning efficient optoelectronic devices. This paper is based on n-i-p thin-film amorphous silicon utilizes scaffolds of vertically aligned carbon nanotube (CNT) array for a fabrication of bottom-up grown Nano pillar (NP) array solar cells. The varying effect of the CNT extent over a wide range from 800 to 2000 nm on …
Published in Trends in Opto-electro & Optical Communication · Vol. 10, Issue 1, 2020 · pp. 1–13 Read article
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Strange Quark Matter Coupled to String Cloud in Five Dimensional Bianchi Type-III Space Time in General Relativity
Abstract: In this paper the author has studied higher dimensional Bianchi type-III cosmological models with strange quark matter coupled to the string cloud in general relativity. I have also attained different classes of solutions by taking different functional forms of metric potentials. Here I investigated that models are expanding, shearing and non-rotating. Also, some physical and kinematic nature of the model was analyzed. Keywords: Five dimensional Bianchi type-III space time, quark …
Published in Research & Reviews : Journal of Physics · Vol. 7, Issue 2, 2018 · pp. 54–61 Read article
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On Triply-Diffusive Convection in Completely Confined Fluids
Abstract: The present paper derives some energy relationships and limitations for the growth rate of a disturbance in the problems of triply-diffusive convection of Veronis type configurations for fluids completely confined in an arbitrary region in the three dimensional Euclidean space 3 R .Keywords: Triply-diffusive convection, Rayleigh numbers, Prandtl numbers, Lewis numbers
Published in Journal of Experimental & Applied Mechanics · Vol. 5, Issue 3, 2014 · pp. 1–7 Read article
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Representative Feature Selection for Efficient Clustering
Abstract: AbstractClustering is one of the widely used data mining techniques. In machine learning, it is an unsupervised learning method that needs training data to be used. The problem with clustering is that it is computationally expensive and takes more time for grouping high-dimensional data. Therefore it is necessary to reduce number of features in the high-dimensional data in order to make the search space reduced. Many techniques came into existance …
Published in Journal Of Network security · Vol. 5, Issue 2, 2017 · pp. 19–27 Read article
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Behaviour of an End Flatted Space Frame Connector: A Parametric Study
Abstract: Space structures contributed many structural applications within the last decades insteel industry with a remarkable acceptance. The popularity of three-dimensional structures has been growing steadily, but their present acceptance all over the world is truly phenomenal. Nowadays, space structures are willing used by architects and engineers for industrial buildings, sport halls, gymnasia, hangars etc. The large number of space frames built shows clearly that, through prefabrication and industrialization, these systems …
Published in Journal of Structural Engineering and Management · Vol. 3, Issue 2, 2016 · pp. 29–36 Read article
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A Survey on Genetic Programming in Data Mining Tasks
Abstract: ABSTRACTGenetic programming (GP) is a machine learning technique used to give the optimized solution for the user specified tasks from a population of computer programs based on a fitness function. Genetic programming provides automated and optimized solutions for searching of large, poorly defined search spaces and even with the complexities of high dimensionality, multi-modality and discontinuity with noise. Knowledge discovery is an extremely complex process in the real world databases. …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 9–15 Read article
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Alzheimer Detection Using MRI Imaging Modality
Abstract: Alzheimer’s disease (AD) is a neurological disease that affects memory and livelihood of the people that are diagnosed with it. Many different imaging modalities have been used to help diagnose the disease. Each of these modalities offers something different towards the detection and possible treatments for AD. In this project, we developed a new approach based on mathematical and image processing techniques for better classification of AD. We proposed to …
Published in Current Trends in Signal Processing · Vol. 6, Issue 1, 2016 · pp. 11–17 Read article
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Analysis of Natural Frequency for Three-Dimensional Model of Transformer Winding Using FEA
Abstract: AbstractPower transfer winding is prone to a number of events of a short circuit. However, over a period of time, capabilities of winding to withstand forces generated during such events decrease. In order to understand the behavior of winding at excitation, study of natural frequency is an important parameter. In this paper, winding’s radial and axial modes are studied with the help of finite element approach. Three-dimensional (3D) and two-dimensional …
Published in Journal of Instrumentation Technology & Innovations · Vol. 8, Issue 1, 2018 · pp. 8–12 Read article
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Reducing the Dimensional Dependence for Rank-Based Similarity Search
Abstract: In this paper a data structure for k-NN search, the rank cover tree (RCT) is implemented. The pruning tests for RCT rely on the comparison of similarity values and not on the other properties of the underlying space, such as the triangle inequality. Objects are selected according to their ranks with respect to the query object, allowing much tighter control on the overall execution costs. Theoretical analysis shows that with …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 1, 2016 · pp. 9–17 Read article
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Reducing the Dimensional Dependence for Rank-based Similarity Search
Abstract: In this paper, we try to introduce a data structure for k-NN search, the Rank Cover Tree (RCT). The pruning tests for RCT rely on the comparison of similarity values not on the other properties of the underlying space, such as the triangle inequality. Objects are selected according to their ranks with respect to the query object, allowing much tighter control on the overall execution costs. Theoretical analysis shows that …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 3, 2015 · pp. 20–25 Read article
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Urban Flood Hazard Modeling for Noida City
Abstract: This contemporary work unveils the usage of a new methodology to carry out an accurate hazard mapping of urban flood footprints. It is based on wetness transformation. It is a procedure of conversion of multi-spectral-bands into three dimensional feature space. The present study embraces conversion of thematic mapper (TM) imagery of Landsat to a three dimensional array; brightness, wetness and greenness, followed by the technique of change detection to locate …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 1, 2016 · pp. 10–26 Read article
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A Novel Mathematical Exploration of Fractal Dynamics in Hyperbolic Spaces
Abstract: This research paper presents an original study on the behavior, generation, and properties of fractal structures within hyperbolic geometry. Unlike classical Euclidean fractals, hyperbolic fractals demonstrate accelerated boundary complexity and distinct scaling symmetries due to the curvature of the underlying space. The paper proposes new iterative models, analyzes geometric invariants, and explores potential applications in data visualization, network science, and theoretical physics. This research paper conducts an in-depth investigation into …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 1–7 Read article
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Dimensionality Reduction: A Brief Survey on Its Myriad Techniques
Abstract: This paper is a short survey and analysis on different techniques and methods using which efficiency of existing techniques can be improved which are used for data exploration, or search for those features which has deeper relationship amongst the variable, which relies on greater extent on visual methods. However, for multidimensional data set with real time data collected captured using sensors or real time applications, redundant and unused or wanted …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 6, Issue 2, 2017 · pp. 46–51 Read article
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The Role of Optimization and Probability in Shaping Artificial Intelligence
Abstract: This study discusses the basic roles of optimization algorithms and the theory of probability in the process of evolution and development of Artificial intelligence (AI). First, we introduce the role played by the next generation of leading-edge optimization algorithms developed since gradient descent to evolutionary strategies with respect to the learning of high-level AI models and how to enable them to learn to effectively explore high-dimensional parameter spaces. At the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 123–128 Read article
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Concrete Compressive Stress-Induced Crack Analysis and the Main Causes of Concrete Cracks in Construction
Abstract: The findings of experimental investigations into the micromechanical behaviour of concrete under various loading scenarios are presented in this work. Concrete specimens with normal and high strengths were examined under uniaxial compression in constrained spaces. Injection of a low melting point alloy was done into the concrete specimens' pores and fissures. To preserve the load-induced stress microcracks and the pictures from the cross sections of the concrete specimens photographed by …
Published in Journal of Experimental & Applied Mechanics · Vol. 13, Issue 2, 2022 · pp. 11–15 Read article