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259 articles for “I-convergence”
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A Comprehensive Review on Impact of Natural Selection Leading to Convergence
Abstract: This tale explores the complex relationship between genetic creativity, adaptation and common ecological problems that is arranged by the master sculptor, natural selection. Convergence reveals the adaptive genius that runs throughout the structure of evolution and is an acknowledgment to the continued power of natural selection. This journey aims to solve the enigma of convergent evolution. Natural selection has been influencing every link in the complex web of life on …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 1–7 Read article
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Improvement of Convergence Speed of Q-learning based Path Planning Algorithm
Abstract: Path planning is fundamental and important task of mobile robot. There are many attempts to adopt reinforcement learning (RL) in mobile robot path planning. RL based path planning is effective in path planning of intelligent mobile robot, especially in unknown environment because it doesn’t require environmental information and finds optimal path through trial-and-error process. Q-learning is one of RL algorithm widely used in path planning of mobile robots. The main …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 19–28 Read article
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Thermal Management of Different Composites Materials Using a Convergent and Straight Vortex Tube
Abstract: The present study focuses on an in-depth and meticulous exploration into the intricate realm of thermal management in three distinct yet widely utilized composite materials—namely, Liquid Crystal Polymer (LCP) Composites, Glass Fiber Reinforced Polymers (GFRPs), and Aramid Fiber Composites (Kevlar). This investigation employs an innovative counter-flow vortex tube system, meticulously analyzing and comparing the thermal efficiency of these materials under different intake configurations. Specifically, two distinct geometrical intake designs—a straight …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 252–266 Read article
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E-Commerce Study Using AR/VR and Ethical Convergence of Commerce
Abstract: The landscape of E-commerce is undergoing a fundamental transformation, shifting from a platform-centric model of transactional exchange to an immersive, ecosystem-driven experience. This analysis examines the critical trends and disruptive forces that define the immediate and long-term trajectory of digital commerce. The study identifies three foundational pillars driving future growth: Hyper-Personalization via Generative AI, Spatial Commerce (AR/VR Integration), and Sustainable Supply Chain Resilience. Future E-commerce will be characterized by the …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 20–26 Read article
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Some I-Convergent Difference Sequence Spaces Defined by a Sequence of Orlicz Functions
Abstract: In this paper, we introduce the di¤erence sequence spaces using a sequence of Orlicz functions. We study some properties of these sequence spaces like completeness, solidness, symmetricity, convergence free and some inclusion relations.
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 1, Issue 3, 2014 · pp. 32–38 Read article
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Optimal Homotopy Analysis Method (OHAM) For the Approximate Series Solution of Non-linear Partial Differential Equation
Abstract: In this article, we have used the Optimal Homotopy Analysis Method (OHAM), which is a basically semi-analytic method to solve differential equations. The ability for the user to choose the convergence control parameter, auxiliary linear operator, auxiliary function, and starting approximation is what sets apart the OHAM technique. We guaranteed the efficacy and efficiency of the procedure by fine-tuning the convergence control parameter. We solved a non-linear partial differential equation …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 1, 2024 Read article
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Cost Efficient Low Convergence ONU Placement Algorithm for Deployment of Fiber-Wireless (FiWi) Access Networks
Abstract: AbstractFiber-Wireless (FiWi) access networks provide an impressive platform for the emerging future applications by integrating the merits of optical networks and wireless networks. It offers reliability, robustness, long distance communication, high bandwidth of optical network and mobility, flexibility at a lower cost of wireless network. One of the major issues of FiWi network is its installation cost, which depends on the number of ONUs present in the network. In order …
Published in Trends in Opto-electro & Optical Communication · Vol. 6, Issue 1, 2016 · pp. 25–41 Read article
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Cloud Convergence under IOT: Hurdles and Positives
Abstract: The success of the IoT world needs service provision attributed with omnipresence, dependableness, superior, efficiency, and measurability. So as to accomplish this attribution, future business and analysis vision is to merge the cloud computing and IoT ideas, i.e., alter an ‘Everything as a Service’ model: specifically, a cloud scheme, encompassing novel practicality and cognitive-IoT capabilities, can be provided. Thence the paper can describe an innovative IoT central cloud sensible infrastructure …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 1, 2020 · pp. 9–12 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
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The Convergence of IoT with Virtual Reality and Telepresence
Abstract: Telepresence is the fastest growing technology combining the Internet of Things (IoT) and Virtual Reality (VR). It is a robotic remote control that allows humans to sense their current location, VR provides vision, and IoT provides touch and control. Before telepresence, we could only imagine virtual worlds, not feel them. Ultrasonic sensors used in telepresence allow for this. This study is primarily about how VR is used in various fields. …
Published in Journal of Advancements in Robotics · Vol. 9, Issue 3, 2022 · pp. 19–29 Read article
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Securing the Internet of Things: Challenges and Solutions in the Era of IIoT
Abstract: The manufacturing, healthcare, and transportation sectors have undergone revolutionary changes due to the swift growth of the Internet of Things (IoT) and its industrial cousin, the Industrial Internet of Things (IoT). However, this technological advancement comes with significant security challenges. The heterogeneity of devices, ranging from simple sensors to complex machinery, creates a diverse attack surface. Additionally, many IoT devices lack robust security features, often due to cost constraints or …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 34–44 Read article
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Exploration of Partial Order Structures in Menger Spaces Properties Characterizations and Applications
Abstract: Partial order structures play a crucial role in understanding the intricate relationships within mathematical spaces. In this paper, we delve into the realm of Menger spaces and investigate their properties through the lens of partial orders. Menger spaces, a generalization of metric spaces, possess unique characteristics that can be further elucidated by considering partial order structures. Through rigorous analysis, we explore various properties of partial order Menger spaces, including topological …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 3, 2024 · pp. 17–22 Read article
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Quantum-Inspired Neural Networks: Accelerating AI for Large-Scale Data Processing
Abstract: Recently, the world of artificial intelligence has been buzzing with exciting ideas inspired by quantum computing, especially when it comes to processing large amounts of data. Introducing the Quantum-Inspired Neural Network (QINN), a novel approach to conventional neural networks that blends concepts from quantum mechanics with machine learning techniques. Unlike typical networks that rely on neurons, QINNs utilize qubit-based representations, enabling them to perform computations in a more flexible and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 12–17 Read article
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Cloud Storage Deduplication Based on Cryptography Techniques
Abstract: In the present circumstances, numerous approaches are utilized for the removal of duplicating a copy for repeating data. One among the beneficial data compression approach is data de-duplication. It could minimize the significant amount ofspace for storageand also save the band widthwhen making use of cloud storage space. The security can be provided by confidentiality of the raw data files, although facilitating de-duplicated data files are encrypted by the proposed …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 2, 2016 · pp. 1–8 Read article
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Fuzzifying Topology Generated by Fuzzy Metric
Abstract: The purpose of this study is to present a new method to generate a fuzzifying topology with fuzzy metrics in Kramosil and Michalek sense. For this, with the help of fuzzy metric, we obtained parameter-dependent crisp topology bases and thus a family of topologies. This family consists of the level topologies of the fuzzifying topology to be generated. Then, we studied the continuity of transformations between generated fuzzifying topologies and …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 9, Issue 3, 2022 · pp. 30–38 Read article
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A Density Version of A Local Limit Theorem for Properly Normalised Weighted Sums
Abstract: Let n X ,n 1 be a sequence of i.i.d. random variables with a common distribution function F with1 EX 0 . Let nn kk 1S X , n 1 andnn kk 1kT f Xn , where f is positive, non -decreasing and continuous on [0,1] with f(1) 1. Let k n be an integer sequence suchthat,1n n n …
Published in Research & Reviews : Journal of Statistics · Vol. 4, Issue 3, 2015 · pp. 29–37 Read article
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Energy harnessing solution using a vertical axis wind turbine installed on the automotive rooftop.
Abstract: The transportation sector plays a major role in greenhouse gas emissions, prompting worldwide initiatives to mitigate its environmental effects. While the shift from internal combustion engines to electric vehicles is growing, it often merely shifts emissions rather than eliminating them, as fossil fuels continue to dominate energy production. A comprehensive solution requires universal access to renewable energy sources like wind, solar, and hydro power, which is currently impractical due to …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 1–21 Read article
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Enhancing security and Efficiency in cloud Data De-duplication through re encryption
Abstract: Data de-duplication technologies have been widely used by commercial cloud storage providers since they are helpful and essential in addressing the growing data expansion. To enhance and guarantee the security of sensitive information provided by users in the outsourced storage mode, numerous secure data de-duplication techniques have been developed and employed in diverse settings. Several scholars have been drawn to secure and efficient re-encryption for encrypted data de-duplication systems, and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 1, 2023 · pp. 1–8 Read article
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Nonlinear Channel Equaliser using Discrete Gabor Transform
Abstract: ABSTRACTThe adaptive equaliser makes use of adaptive digital filters whose filter coefficients are modified depending on the channel characteristics at the front end of the receiver. The noise introduced in the channel gets nullified and hence the signal-to-noise ratio of the receiver improves. Discrete Gabor Transform (DGT) helps decorrelate input data because of which the convergence speed of the Mean Square Error (MSE) improves considerably. It is found that the …
Published in Journal of Computer Technology & Applications · Vol. 1, Issue 1-3, 2011 · pp. 63–74 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