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110 articles for “natural evolution”
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An Overview, Changes, and Uses of the Novel Social Spider Optimization Algorithm
Abstract: The rising complexity of real-world problems has prompted researchers and computer scientists to look for more effective ways to solve difficulties. Generally inspired by nature, bioinspired metaheuristics based on swarm intelligence algorithms and evolutionary computation have been widely employed to solve complicated, real-world optimization problems because of their adaptability to a broad variety of factors. The social spider optimization (SSO) approach is introduced in this article as a swarm-based algorithm, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 3, 2023 · pp. 61–71 Read article
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A Review on Properties of Natural Fiber Reinforced Composite Materials for Automotive Application
Abstract: The use of composite polymer matrix materials is growing rapidly in automotive, marine and aerospace applications due to their light weight and recyclable properties. In the automotive industry, the use of polymer matrix for interior panels, trims, exterior panels and fender assemblies is rapidly increasing in the 21st century. It also stimulates the use of polymer compounds reinforced by natural fibers. Natural fiber polymer composites are a growing industry due …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 915–922 Read article
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AI-Driven Exam Evaluation Systems: Challenges, Innovations, and Future Directions
Abstract: A proposed AI system is used to grade exams automatically. It addresses inefficiencies in human assessment. A GPT model trained on graded replies is used for evaluation, and TrOCR is used for precise handwritten text recognition. Efficiency and less bias are provided by this method, although there are still issues. More work is needed to assess open-ended questions and make sure they are understandable. To automate many aspects of exam …
Published in International Journal of Electronics Automation · Vol. 2, Issue 2, 2024 · pp. 7–13 Read article
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Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques
Abstract: The integration of continual learning with Large Language Models (LLMs) and Natural Language Processing (NLP) represents a transformative step toward creating adaptive, intelligent systems capable of functioning effectively in ever-changing environments. Traditional LLMs are typically trained on large, pre-collected datasets, which limits their ability to evolve as new information emerges. Continual learning, in contrast, enables models to acquire new knowledge incrementally without the need for complete retraining, thereby supporting long-term …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
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Screen Acting, Performance and Actor Training in Contemporary Indian Cinema and OTT Culture
Abstract: With the advent of digital streaming sites, screen acting and its performance aesthetics along with methods of actor training in contemporary Indian cinema have undergone tremendous changes. The evolution of OTT sites like Netflix, Amazon Prime Video, JioHotstar, SonyLIV, and Zee5 has created an environment where realistic, psychological, and character-centric performances are encouraged among other things. Therefore, contemporary acting in Indian cinema has evolved from the melodramatic theatrical tradition towards …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 1–9 Read article
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Genetic Algorithm: an Optimization Tool for Real World Problems
Abstract: AbstractThe main goal of this research work is to give the lesson on genetic algorithm with the help of evaluation concept of our environment. Genetic algorithm is a type of optimization algorithm, means it is used to find the optimal solution to a given computational problem that maximizes or minimizes a function. Genetic algorithms represent a branch of the field of study called evolutionary computation, in which they imitate the …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 9, Issue 3, 2019 · pp. 17–21 Read article
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Micro-Stream Jetting Effect of Acoustic Cavitation during Sono-Electroplating of Thin Films: A Morphological Note
Abstract: In this study, copper thin films were electroplated onto laboratory grade aluminum substrate in presence of ultrasound and were then subsequently characterized by scanning electron microscopy. The macroscopic appearance reveals that the surface of the films had micron sized crater like holes. An initial analysis may direct to conclude that the hydrogen evolution might have caused so. However, microscopic examination on hole morphology, the nature of the flow of materials …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 2, Issue 1, 2015 · pp. 15–17 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
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Text-to-SQL Systems: A Comprehensive Study of Evolution, Architectural Advancements, Challenges, and the Role of Large Language Models in Intelligent Query Generation
Abstract: Interacting with relational databases traditionally requires knowledge of Structured Query Language (SQL), which creates a significant barrier for users who do not have technical expertise. To address this challenge, Text-to-SQL systems have emerged as an important area of research, enabling users to express their information needs in natural language while automatically generating executable SQL queries. These systems aim to make database access more intuitive, efficient, and accessible across a wide …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 · pp. 10–19 Read article
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Revolution of Artificial Intelligence and Machine Learning
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are profoundly transforming various industries by introducing groundbreaking technologies such as deep learning, federated learning, reinforcement learning, and natural language processing. These innovations are not only reshaping the way organizations operate but are also opening new avenues for solving complex problems across diverse sectors, including healthcare, finance, transportation, and more. This study provides a comprehensive exploration of these emerging technologies, emphasizing their practical …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 38–44 Read article
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Investigating the Impact of Robotics and Automation on Manufacturing Technology
Abstract: Automation and automated machines have dramatically enhanced quality, productivity, and efficiency in industries such as manufacturing at the past few decades. The current research looks at the ways robotics and automation are impacting industrial technologies. The investigation offers an in-depth analysis of the advantages and difficulties connected with the incorporation of robots and automation in industrial processes by evaluating pertinent literature, case studies, and statistics. Conclusions of this research effort …
Published in International Journal of Manufacturing and Production Engineering · Vol. 1, Issue 1, 2023 · pp. 33–38 Read article
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An Overview of Composite Materials: Historical Development, Classification, and Advancements in Natural Fiber-Reinforced Polymer Composites
Abstract: Composite materials have brought about a paradigm shift in numerous industries by integrating distinct components to improve material performance. Consisting of a matrix and reinforcement, composites synergistically combine the unique properties of each constituent to deliver superior strength, enhanced durability, and remarkable flexibility. These attributes have made composite materials indispensable in diverse fields such as automotive, aerospace, construction, and marine engineering. This article provides a comprehensive exploration of the historical …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 158–175 Read article
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String Theory: Simplified Insights into Reality
Abstract: "String Theory: Simplified Insights into Reality" explores the fascinating realm of theoretical physics, delving into the profound principles of string theory and its implications for our understanding of the fundamental nature of the universe. The paper begins with an overview of the historical context, tracing the evolution of string theory from its inception as a theoretical framework to its current status as a leading candidate for a unified theory of …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 1, 2024 · pp. 1–11 Read article
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The Emergence of Personal Desktop Voice Assistants for Effortless Task Management
Abstract: In an era defined by rapid technological advancement, desktop voice assistants have emerged as crucial tools, not only for enhancing productivity but also for fundamentally reshaping digital interactions. This study delves into the transformative potential of voice-enabled artificial intelligence in task automation, emphasizing its profound impact on efficiency, accessibility, and overall user experience. By harnessing the power of natural language processing and machine learning, these desktop assistants facilitate hands-free operation, …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 11–16 Read article
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Exact Solutions of Kuramoto–Sivashinsky Equation Using Modified Sub-equation Method
Abstract: Equations for non-linear evolution are mathematical representations of physical phenomena. The physical interpretation of the solution functions of these equations enhances the viewpoint of many natural processes. Numerous scientists who acknowledge this truth have focused on this area. These mathematical models are even more important since they provide light on a multitude of events when their solutions take on a physical significance. Through their research, numerous scientists create methods and …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 25–33 Read article
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Blockchain, Evolution, and Future Scope: An Overview
Abstract: A blockchain serves as a transparent and immutable record of transactions, offering unparalleled security and trust in a digital environment. Its decentralized nature ensures that no single authority has control over the network, fostering a level playing field for all participants. While cryptocurrencies such as Bitcoin have popularized blockchain technology, its potential extends far beyond digital currencies. In addition to financial transactions, blockchain can revolutionize various industries, including supply chain …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 2, 2024 · pp. 14–24 Read article
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Energy Time Scale Theory
Abstract: Time is the scale for the measurement of the various activities happening in the whole universe. Therefore, it also can be commented that, "Time is the scale for the measurement of the rate of the change of the energy from one form to another into its various states. That means the range of the various states of the energy starts from string and waves and reaches up to quantum particles, …
Published in International Journal of Universe · Vol. 1, Issue 2, 2025 · pp. 01–07 Read article
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Effect of Isothermal Ageing on Microstructure and Mechanical Behavior of 0.5Cr-0.5Mo-0.2V Low Alloy Steel
Abstract: Cr-Mo-V based low alloy steels are widely used in thermal power plants because of their ability to withstand elevated temperature and high pressure under continuous operation. With ferrite-pearlite and/or ferrite-bainite microstructures, these steels find their applications in boiler tubes, pressure vessels and steam turbines. Being cost effective is one of the important factors, which draws attention of many industrialists towards low alloyed steels over highly alloyed steels with austenitic matrix. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 3, 2015 · pp. 7–14 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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Genesis of English Language with its Cybernetics Origin
Abstract: AbstractThis paper is looking into the genesis of the English language with its Cybernetics origins and hence looking into the possibilities of developing new techniques to be used in speech processing applications. As we all know, English is the third-most-spoken language in the world by a number of native speakers, which is used to create the present world, which is also a West Germanic language that was first spoken early …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 19–28 Read article