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948 articles for “adaptability”
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A Overview of Free Space Optical Communication (FSO)
Abstract: Free Space Optical communication (FSO) is a wireless communication system that employs light propagation across free space to transport data between two sites without the usage of fibre optic cables. It uses either lasers or light emitting diodes (LEDs) for high speed data transmission with enormous bandwidth, which makes it a desirable solution for modern communication systems. The FSO provides many advantages such as minimal installation cost, excellent security, licence …
Published in International Journal of Optical Innovations & Research · Vol. 4, Issue 1, 2026 · pp. 31–35 Read article
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AI and ML-Driven Immersive Technologies: A New Era in Education
Abstract: The very fast adoption of Artificial Intelligence (AI) and Machine Learning (ML) in education has transformed contemporary teaching and learning ecosystems driven by advances in immersive technologies and the growing engagement of global technology leaders with virtual environments. AI-powered educational platforms enable adaptive and personalized learning pathways by dynamically adjusting content, pace and instructional strategies to learners’ preferences, abilities and learning styles by improving engagement, retention and academic outcomes. Deep …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 116–123 Read article
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Smart Education through Machine Learning: A Review of Trends, Benefits, and Risks
Abstract: Machine learning (ML) is transforming the contemporary education by transforming it into smarter, data-driven and personalised learning. This review examines the key tendencies, advantages, and possible threats of applying ML in intelligent education. ML promotes adaptive learning, automatization of assessments, and student engagement, which is highly beneficial both to learners and educators. Nonetheless, issues like data privacy, algorithmic bias or unequal access are also a significant concern. The article emphasises …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 24–28 Read article
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A Smart Framework that Combines Data Mining and Optimization for Different Applications
Abstract: Blending predictive data mining with metaheuristic optimization has become essential for tackling tough, real-world problems across all kinds of fields. Most existing methods stick to fixed algorithms, each focused on a tiny slice of the puzzle, barely budging when new variables or unpredictability show up—especially with messy, human-generated data. So, here’s the idea: a Unified Metaheuristic and Predictive Data Mining (UMPDM) framework that finally connects adaptive search methods with powerful …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Recyclable Vitrimer-Matrix Carbon Fibre Composites for Aerostructures: Reprocessing Efficiency and Retention of Mechanical Performance
Abstract: To begin, carbon fiber reinforced polymers (CFRP) have become an important part of the structural loading in many modern aircraft; however, due to their permanent cross-linking in thermosets, they cannot easily be restored after being retired. Vitrimers have been proposed as a solution since their Covalent Adaptable Networks (CANs), rearranged by associative exchange, may be reshaped, welded, repaired or dissolved without damaging the CFRP fibers. This paper reviews whether the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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The Cybernetics Perspective of AI
Abstract: The complicated connection between cybernetics and AI is investigated in detail in this study. The focus was on the cybernetic basis of AI, specifically the part that control systems and feedback loops play. Norbert Wiener was one of the founders of cybernetics, which is important for understanding how machines and animals direct and talk to each other. It explains the basic ideas that have led to the progress in AI, …
Published in Journal Of Network security · Vol. 12, Issue 1, 2024 · pp. 26–30 Read article
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ConnectED-AI: Connecting Education with Artificial Intelligence
Abstract: In a rapidly evolving educational landscape, the role of technology and artificial intelligence (AI) in enhancing learning experiences has gained immense importance. The “ConnectED-AI” project represents a pioneering effort to leverage AI to empower students with personalized and effective educational resources. This report provides an overview of the “ConnectED-AI” project, which is designed to address the diverse and dynamic learning needs of students. Our project aims to connect students with …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 36–50 Read article
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Multi-phase Flow Simulation Using Computational Fluid Dynamics
Abstract: Computational fluid dynamics (CFD)-based multi-phase flow simulation is a fast developing topic with broad applications in many scientific fields and industry. An extensive account of current developments, difficulties, and uses in multi-phase flow simulations is given in this review paper. Important modeling strategies, numerical methods, validation procedures, and new developments in CFD-based multi-phase flow analysis are covered. This paper is to contribute to the ongoing development and use of CFD …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 2, 2023 · pp. 28–34 Read article
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A Machine Learning-based Analysis of Climate Change
Abstract: Climatic variations are a pressing global challenge that demands immediate and comprehensive attention. A wealth of articles has been published on climate change mitigation and adaptation, yet there remains a need for innovative methods to explore the complexities of climatic variations and to devise more efficient and effective strategies for adjustment and alleviation. With technological advancements, machine learning (ML) and deep learning (DL) approaches have derived significant popularity across various …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 1–10 Read article
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Myrmecophytes – A Wonder in Mutualistic World
Abstract: In nature, organisms have an inherent ability to interact with each other constructing the ultimate basis of simple to diversified relationships among themselves. Myrmecophytes emerge because of the complex association between plants and ants which coevolve over time. They develop specialized structures and mechanisms to interact with ants in a mutualistic manner. Ant’s dispersal of seeds via myrmecochory, extrafloral nectaries, food bodies, and domatia are among several tools that make …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 18–23 Read article
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Impact of Urbanization and Policy Interventions on Carbon Emissions Towards Achieving SDG 13
Abstract: Climate change remains a major threat to ecosystems and human society. This undermines efforts to achieve Sustainable Development Goal 13 (SDG 13), which aims to take immediate action to address climate change and its impacts. This study provides an overview of the wide-ranging impacts of climate change. It focuses on the increasing frequency, intensity and uncertainty of extreme weather events such as droughts, famines, landslides and heat waves, and impacts …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 1, 2025 · pp. 18–29 Read article
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Investigating the Dietary Flexibility and Feeding Behavior of Clarias anguillaris and Auchenoglanis biscutatus in a Tropical River Ecosystem
Abstract: Studies on food and feeding habits of fishes are required to guide the selection of fish species for culture. The current study determined the food and feeding habits of Clarias anguillaris and Auchenoglanis biscutatus in the Lower River Benue at Makurdi, Nigeria. Fish samples were collected biweekly from local fishermen at the Wadata landing site who fished with different gears like gillnets, cast nets, hook and line, traps and lift …
Published in International Journal of Marine Life · Vol. 2, Issue 1, 2025 · pp. 1–9 Read article
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A Hybrid Algorithm for Processor Scheduling Using Game Theory Variants
Abstract: This study proposes a novel hybrid algorithm for processor scheduling in modern operating systems, integrating the strengths of traditional scheduling methods with game theory variants. Traditional schedulers often struggle to adapt to dynamic workload changes, leading to suboptimal performance. Our hybrid approach addresses this by treating processes as "players" in a game, where the "payoff" is CPU time. A base scheduler (e.g., Weighted Fair Queuing, Earliest Deadline First) provides a …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 48–56 Read article
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Website Usability Using AI
Abstract: This article introduces a comprehensive framework that leverages artificial intelligence (AI), automated tools, and APIs to enhance the evaluation of website usability. The proposed framework integrates AI-driven models with traditional usability assessment techniques to create a more dynamic and effective evaluation process. Specifically, it utilizes Google Lighthouse to conduct in-depth audits on website performance, search engine optimization (SEO), and accessibility. Additionally, chatbot APIs are incorporated to gather real-time user feedback, …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 · pp. 19–27 Read article
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Human-robot Collaboration in Manufacturing: Safety, Efficiency, and Technological Developments
Abstract: Human-robot collaboration (HRC) has emerged as a transformative force in modern manufacturing, significantly enhancing productivity, operational flexibility, and overall efficiency. This review article explores the fundamental aspects of HRC, with a particular focus on safety protocols, efficiency optimization, and technological advancements that are shaping the future of collaborative robotics. Ensuring safety in HRC environments is a primary concern, necessitating the implementation of advanced safety measures, risk assessment methodologies, and compliance …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 18–23 Read article
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Pharmacy Teachers' Contribution to Preserving Education's Integrity and Quality in the AI Era
Abstract: Artificial Intelligence through its modern approach supports the development of pharmacy education through customized methods and automatic evaluation systems and computerized training exercises. Students benefit from AI tools which include intelligent tutoring systems together with virtual assistants and simulation platforms because these tools improve their knowledge of pharmacology and drug formulation as well as clinical practice. The transition to AI-controlled education creates new academic integrity issues and ethical problems and …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 20–42 Read article
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Deep Learning Architectures for Predictive Modeling in Financial Time Series
Abstract: This study investigates the application of deep learning architectures, particularly convolutional neural networks (CNNs), to the challenging task of financial time series forecasting. Financial markets are inherently complex and influenced by a range of factors, making accurate prediction of price movements a difficult problem. In this research, historical financial data including stock prices, volumes, and other relevant indicators are used to train CNN models aimed at capturing the underlying patterns …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 45–55 Read article
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The Future of Mathematics Education in the Era of Artificial Intelligence
Abstract: The rapid integration of Artificial Intelligence (AI) into education is fundamentally reshaping the landscape of mathematics teaching and learning. This study examines how AI-powered tools are converting conventional math training into inclusive, individualized, and data-driven learning environments. Through an in-depth examination of global case studies—including Squirrel AI, Carnegie Learning’s MATHia, Khan Academy, Microsoft Math Solver, DIKSHA, Photomath, ALEKS, and BYJU’S—the study highlights AI’s ability to tailor content, deliver real-time feedback, …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 2, 2025 · pp. 37–44 Read article
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Leveraging Generative AI for Test Case Creation in Complex Systems
Abstract: Modern software systems exhibit increasing complexity, demanding sophisticated testing methodologies to ensure reliability and functionality. Traditional manual testing approaches often struggle to keep pace with this complexity, leading to inadequate test coverage and increased risk of unforeseen issues. This study explores the potential of Generative AI (GAI) in revolutionizing test case creation for complex systems. We delve into the practical application of GAI techniques, such as Variational Autoencoders (VAEs) and …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 16–22 Read article
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Improved Power Transfer Capability and Optimization of Photovoltaic Power Plants
Abstract: Grid integration is the process of linking distributed energy resources, such as small-scale photovoltaic systems, to the electrical grid. Improving the power quality in the integrated grid of small-scale solar plants requires addressing many technological issues in order to create a secondary distribution network. Thus, this review provides a thorough synopsis of the current state of the art in power quality improvement methods for grid integration, with a focus on …
Published in Trends in Electrical Engineering · Vol. 15, Issue 3, 2025 · pp. 12–20 Read article