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34 articles for “n-dimensional space”
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The Anhadnaad Universe
Abstract: Current Science considers that 95% universe is made of Dark energy and Dark Matter which are completely unknown entities and can’t be detected directly. Current Science also does not believe in independent existence of Consciousness on its own. It rather consider it as an outcome of electrical interaction in brain cells which means there are as many consciousnesses as the number of brains in the entire universe. But my theory …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 2, 2025 · pp. 19–29 Read article
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Perturbative BIS Strings and Superstrings Hindering to the Space Dynamics
Abstract: String theory helps us to describe theoretically the ultramicroscopic properties of the space. It makes the GTR given by Einstein fully compatible with the laws of quantum mechanics. String theory states that the elementary components of the universe are not point particles. Rather they are tiny, one-dimensional slender thread-like object or fibre like rubber bands. Despite being composed of molecules and atoms, these strings are inextricably bound up with the …
Published in Journal of Aerospace Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 20–23 Read article
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Precise Numerical Calculation of the Bond Number of a Fluid Drop and of the Surface Tension Coefficient at the Fluid-Gas Interface
Abstract: Precise calculation of the Bond number of a fluid drop and the surface tension coefficient at the fluid-gas interface plays an important role in modeling of the behavior of fluids in aircraft fuel tanks during overloads resulting from flight and the behavior of fluids in power supply and life support systems of spacecraft and space stations. The existing methods of calculation of the Bond number of a fluid drop and …
Published in Journal of Aerospace Engineering & Technology · Vol. 10, Issue 2, 2020 · pp. 15–22 Read article
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Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
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Numerical Analysis of Cyclone Separator
Abstract: The fluid dynamics of a three-dimensional cyclone separator were studied computationally. Commercial CFD software package, Fluent was used for the simulation. A multiphase Eulerian-Eulerian model incorporating the kinetic theory of granular flow (KTGF) was applied for simulating the air-solid movement. Momentum exchange coefficients were calculated using the Gidaspow drag functions. The kinetic energy fluctuation of mixture was characterized by varying the pressure values from 98Pa to 180Pa. Further computational and …
Published in Emerging Trends in Chemical Engineering · Vol. 5, Issue 1, 2018 · pp. 10–19 Read article
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Geophysical Determination of Construction Clay Deposit Using 2-Dimensional Resistivity Imaging In Ologbo Area of Edo State
Abstract: AbstractGeophysical exploration based on a two-dimensional electrical resistivity survey was carried out to determine the presence of construction clay deposits in Ologbo Area of Edo State, Nigeria. Begin and end co-ordinates for line 1 were N6°05.585′, E005°39.686′ and N6°05.541′, E005°39.652′ and N6°03.754′, E005°39.029′ and N6°03.700′, E005°39.054′ for line 2. The survey technique utilized was Wenner-Schlumberger array in the two explored areas to justify the operation of assembling apparent resistivity data. …
Published in Research & Reviews : Journal of Physics · Vol. 5, Issue 2, 2016 · pp. 1–12 Read article
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A Review on Nanosponges Drug Delivery System
Abstract: The main issue that the researchers are dealing with is targeted medication delivery to locations. Crosslinking polymers produce nanosponges, which are three-dimensional drug delivery systems at the nanoscale. They have the benefit of having a large capacity to carry different-sized medications. There are numerous sizes and shapes for nanosponges. Compared to alternative delivery methods, nanosponges are preferable because they may offer a regulated medication release pattern with targeted Medication administration. …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 68–76 Read article
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Performance Evaluation of PCA Based Back Propagation over PCA Based Euclidian Distance for Video Images
Abstract: Key frame selection aims at reducing amount of data and retrieve information desired from a video. Video summarization aims at reducing the amount of data in order to retrieve information from a video. In this paper, we present an innovative approach for key frame selection; and a face detection and recognition from video sequence. For face detection from video, first we select the key frames and then detect multiple faces …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 24–31 Read article
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Challenges and Opportunities in Spatio Temporal Data Analysis
Abstract: Spatiotemporal data analytics is a dynamic field that seeks to extract valuable information from data that integrates both spatial and temporal dimensions. This article explores the importance of this emerging field and its applications in a variety of fields, including environmental science, public health, and urban planning. Spatiotemporal data analysis addresses important research questions, such as determining event probabilities, understanding change patterns, identifying associations between events, and predicting events Future. …
Published in Journal of Remote Sensing & GIS · Vol. 14, Issue 2, 2023 · pp. 1–11 Read article
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Role of Reinforcement Learning in Improvement of Semiconductor Doping
Abstract: The semiconductor industry faces increasing challenges in achieving optimal doping profiles as device dimensions shrink and performance requirements intensify. Traditional doping optimization methods, while effective, often struggle with the complex, multi-dimensional parameter spaces characteristic of modern semiconductor manufacturing. This study explores the transformative role of reinforcement learning (RL) in improving semiconductor doping processes, examining how RL algorithms can autonomously optimize doping parameters to enhance device performance, reduce manufacturing costs, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 23–34 Read article
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The 0^0 Thing Behind Everything
Abstract: Physics is the science of the physique of the universe. The physique of the universe is space. Space is the bottom-most of the universe which cannot be further undermined. Space cannot be seen. Not heard. Not smelt. Not tasted. Not touched or felt. Not known. The moment it is seen, heard, smelt, tasted, felt, known, the question pops up: who is the seeing, hearing, smelling, tasting, feeling, knowing? Consciousness/cognizance is …
Published in Research & Reviews : Journal of Physics · Vol. 12, Issue 3, 2023 Read article
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Simulation of Image Processing and Restoration Through A Base Image Using Matlab
Abstract: Basically, in image processing the main work is done on pixels and its value. Basically, an image is a two-dimensional function f(x, y), where x and y are spatial coordinates. Here, in the present study geometrical transformation is being used for image restoration and processing. Steps are carried some for the result outcome. First the image is read in the algorithm, further the coordinates and pixels are being specified, and …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 1, 2021 · pp. 31–40 Read article
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Kinematic Relations of Particle Motion using Polar Cylindrical Coordinates System: Applications in Robotics and AI
Abstract: This paper explores the motion of a particle in space using the cylindrical polar coordinate system. It presents the physics of particle motion by defining spatial positions in three-dimensional polar coordinates and examining the particle’s kinematics—namely its position, velocity, and acceleration—in vector form. These quantities are mathematically expressed as functions of time, accounting for the changing coordinates in radial, angular, and vertical directions. This coordinate system proves especially useful for …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 12–16 Read article
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Quantum-Fuzzy Tensor Operators for Multi-Qubit Conjunction, Disjunction, and Symmetry-Preserving State Discrimination
Abstract: The integration of fuzzy logic and quantum information theory raises a fundamental mathematical question: how can degrees of truth be encoded in multi-qubit amplitudes while preserving the unitary dynamics and symmetry structure of quantum state spaces? This paper develops a tensor-operator framework for implementing quantum-fuzzy logical operations on finite qubit registers. Fuzzy truth values are represented by normalized quantum amplitude pairs, enabling logical information to be embedded directly into quantum …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 16–21 Read article