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270 articles for “Adaptive Frameworks”
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AI-Powered Emotion Recognition in Dog
Abstract: Understanding animal emotions is important for improving veterinary care, human animal interaction, and overall pet well-being. Inspired by previous research that utilized a modified EfficientNetB5 model for emotion classification in cats and dogs, our study builds upon this foundation with a focus on real-time emotion recognition in dogs. While earlier approaches achieved high accuracy using Dense Residual and Squeeze-and-Excitation blocks, they often lacked real-time applicability and were not optimized for …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 20–32 Read article
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Integrating Digital Twins, Smart Materials, and Human Machine Collaboration for Sustainable Smart Manufacturing: Smart CNC & Industry 4.0 Applications
Abstract: The rapid evolution of Industry 4.0 and the emerging transition toward Industry 5.0 have been catalyzed by the convergence of intelligent digital technologies such as digital twins, cyber–physical systems (CPS), artificial intelligence (AI), the Internet of Things (IoT), and human-in-the-loop (HITL) frameworks. These technologies have transformed traditional manufacturing into adaptive, data-centric ecosystems capable of real-time optimization and predictive decision-making. In recent years, the fusion of computer numerical control (CNC) machines, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 1–8 Read article
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Impact of Partially Observable Markov Decision Process in Next Generation Satellite for Remote Sensing
Abstract: The integration of Partially Observable Markov Decision Processes (POMDPs) in next- generation satellite systems represents a transformative advancement in remote sensing technology. This article explores how POMDP frameworks address the inherent uncertainties and incomplete observability challenges in satellite operations, including dynamic task scheduling, resource allocation, and adaptive sensing strategies. By modeling satellite decision-making under uncertainty, POMDPs enable autonomous systems to optimize mission objectives while managing constraints such as limited power, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 20–28 Read article
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Parallel Privacy-Preserving Adaptive Federated Learning on GPU-Enabled Multi-Core Architectures
Abstract: The increasing deployment of parallel and distributed intelligent systems has intensified the need for privacy-preserving learning frameworks that can exploit multi-core and GPU-based architectures without centralizing sensitive data. This work proposes a parallel Adaptive Federated Learning (AFL) framework that integrates Differential Privacy and Secure Aggregation over heterogeneous multi-core and GPU platforms to enhance both data confidentiality and convergence efficiency. The framework dynamically adjusts client participation, learning rates, and aggregation weights …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 Read article
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Integrating RF Technologies for Robust Disaster Response and Recovery Systems
Abstract: In the aftermath of disasters, one of the greatest challenges is the failure of communication networks, which delays rescue operations and worsens human suffering. Radio Frequency (RF) technologies offer promising solutions as they enable wireless communication, sensing, and tracking without depending on fragile infrastructure. This paper presents a study of RF applications in disaster management and proposes a unique hybrid multi-layer framework that integrates environmental RF sensors, RFID-based tracking, drone-mounted …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 2, 2025 · pp. 24–27 Read article
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Biophilic Design as a Bridge Between Applied Vastu and Contemporary Interior Design Practice in Urban Indian Residences
Abstract: The growing disconnect between urban Indian residents and the natural environment has prompted renewed interest in design strategies that restore human–nature connections within indoor spaces. This paper investigates the conceptual and practical convergence between biophilic design—a framework grounded in the innate human affinity for nature—and Vastu, the ancient Indian architectural science that prescribes spatial harmony through alignment with natural forces. Drawing on a qualitative review of existing literature, established biophilic …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 52–61 Read article
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Revitalizing São Cristóvão: Integrating Industry, Commerce, and Community for a Sustainable Urban Future
Abstract: This paper introduces a comprehensive framework for the sustainable regeneration of São Cristóvão, a historically industrial district in Rio de Janeiro, South America, which presently demonstrates significant urban deterioration, socio-economic instability, and increasing environmental hazards. Through an interdisciplinary methodology integrating spatial analysis, ethnographic profiling, environmental assessment, and stakeholder engagement, the study develops a phased master plan aimed at transforming the neighborhood into a resilient, inclusive, and economically diverse urban environment. …
Published in International Journal of Urban Design and Development · Vol. 4, Issue 1, 2026 · pp. 58–68 Read article
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Nanotechnology in BattleField: A Study
Abstract: Nanotechnology, a rapidly evolving frontier of science and engineering, has revolutionized multiple sectors, including medicine, electronics, and materials science. Its application in military domains presents both intriguing opportunities and complex challenges. The abstract titled "Nanotechnology in Battlefield: A Study" offers a comprehensive overview of how nanotechnology is transforming warfare and military strategy. The abstract emphasizes the ethical and moral implications of deploying nanotechnology in warfare. The potential for creating weapons …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 2, 2024 · pp. 18–29 Read article
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Exploring Robotic Arm Fabrication: An In-depth Review of Current Trends
Abstract: Robotic arms have emerged as indispensable tools across a myriad of industries, revolutionizing manufacturing processes, medical procedures, and even everyday tasks. This comprehensive review explores the recent advancements in robotic arm technology, focusing on key developments in design, control, sensing, and applications. The review begins by examining the evolution of robotic arm design, highlighting innovations in materials, actuators, and kinematic configurations that have enhanced the performance, versatility, and dexterity of …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 3, 2024 · pp. 28–41 Read article
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Fuzzy Probability Distributions and Their Applications in Uncertain Data Analysis
Abstract: This study explores the use of fuzzy probability distributions in data analysis under uncertain conditions, with a specific focus on their implementation in evaluating call center customer satisfaction. Traditional probability models rely on precise parameters, often failing to account for the inherent variability and subjectivity present in real-world data. In contrast, fuzzy probability distributions, which integrate fuzzy logic principles, offer a more adaptable and realistic framework for addressing such complexities. …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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Predictive Learning Powered by AI and Sophisticated Student Engagement Techniques
Abstract: The contemporary landscape of education has witnessed a paradigm shift in integrating advanced technologies that have revolutionized the learning experience. Innovative methodologies have emerged to address longstanding challenges, such as enhancing student engagement, accurately predicting academic performance, and personalizing the learning journey. However, despite the numerous benefits that technology brings to education, there remains a crucial hurdle - sustaining student motivation and engagement. Traditional teaching methodologies often struggle to generate …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 127–140 Read article
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Impact of Adaptive Learning, LMS, and Personalized Skill Development on Industry Recruitment Alignment
Abstract: This paper discusses the impact of adaptive learning on the development of skill and self-learning, and it portrays a methodology framework to design an adaptive learning system that works with industry recruitment objectives. The paper distinguishes different approaches to learning, namely teacher-centric and student-centric, rigid and adaptive, competitive and collaborative, and explains that each learner has their own learning style, preference, and level of knowledge and skill acquisition. The paper …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 1, 2025 Read article
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Climate Change and Economic Vulnerability in Pakistan: An Analysis of Future Risks
Abstract: This paper discussed effects of climate change on economic vulnerability in Pakistan. The findings show that the nation's economy is negatively impacted by climate change. Poverty, unemployment, crime, forest fire, diseases, migration, internal displacement, urban slum, flood etc. will be increase in future due to climate change. Biodiversity and economic balance will be disturbed. Food production, electricity supply, basic infrastructure will be badly affected. Development activities in water resources, as …
Published in International Journal of Climate Conditions · Vol. 1, Issue 2, 2024 · pp. 39–46 Read article
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Integrating Value Education into Curriculum Development: A Comprehensive Approach
Abstract: In today's educational landscape, the necessity of incorporating value education into curriculum development has garnered heightened attention. This abstract delineates a holistic approach towards achieving this integration, acknowledging the fundamental role of values in shaping both individuals and societies. Through the integration of values within the curriculum, educational institutions strive to nurture students not merely academically, but also ethically and emotionally. The proposed approach commences with a meticulous examination of …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 2, 2024 · pp. 13–19 Read article
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Dynamic Modeling and Simulation of Multi-Body Mechanical Systems: A Comprehensive Review of Methods, Tools, and Applications
Abstract: The dynamic modeling and simulation of multi-body mechanical systems (MBS) form a cornerstone in modern mechanical engineering, enabling in-depth analysis of the kinematic and kinetic behaviors of interconnected rigid and flexible components. MBS are foundational to a range of critical applications, from automotive suspensions and aerospace mechanisms to robotics and biomechanical structures. As system complexity and performance requirements increase, accurate and scalable modeling techniques are essential for both design validation …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 35–42 Read article
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Assessing Air Quality, Climate Change, and Migration Dynamics in Delhi NCR: A System Dynamics Approach
Abstract: As climate change accelerates and environmental degradation worsens, urban centers like Delhi NCR are under increasing pressure from internal migration. Poor air quality—especially in rural and peri-urban regions—emerges both as a driver of out-migration and a deterrent for in-migration to already burdened cities. This study develops a system dynamics (SD) model that integrates climate variables, air pollution metrics, economic indicators, governance quality, and migration behavior to simulate population flows into …
Published in Recent Trends in Mathematics · Vol. 2, Issue 1, 2025 · pp. 7–11 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment and Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI-powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, the …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 24–31 Read article
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Predictive Analytics for Student Well-Being and Occupational Success
Abstract: The integration of predictive analytics into higher education has significantly transformed institutional decision-making processes. However, prevailing implementations remain predominantly performance-centered, focusing on dropout prediction and grade forecasting rather than holistic developmental outcomes. Concurrently, higher education systems worldwide are confronting escalating concerns regarding student mental health, disengagement, career uncertainty, and labor market volatility. These intersecting challenges necessitate a broader theoretical reconceptualization of predictive analytics—one that integrates psychological well-being and long-term occupational …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 155–163 Read article
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Smart Air Filtration Systems for Cities: A Technological Approach to Reducing Urban Pollution
Abstract: Urban air pollution is considered one of the main ecologically critical issues of the 21st century since it threatens citizens' health through respiratory diseases, pathologies of the cardiovascular system, and even premature death. Regarding an extremely high level of pollution in large cities, it becomes necessary to realize technological solutions which could avoid the negative impact of this phenomenon. Smart air filtration systems have emerged as promising solutions for urban …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 2, Issue 2, 2024 · pp. 27–42 Read article
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Signal Drift Compensation in Polymer-Based Wearable Biosensors Using Data Processing Techniques
Abstract: Polymer-based wearable biosensors have emerged as promising platforms for continuous physiological monitoring due to their mechanical flexibility, low operating voltage, and compatibility with soft biological interfaces. However, their long-term deployment remains challenging because of signal drift caused by polymer ageing, hydration–dehydration cycles, ionic trapping, and environmental variations. These effects introduce baseline fluctuations and sensitivity degradation, which compromise the reliability and interpretability of physiological measurements. This study proposes a data-processing–driven framework …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 197–207 Read article