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83 articles for “self-adaptive”
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A Critical Study of Research Challenges for Self-adaptive Software
Abstract: Software systems dealing with distributed applications in changing environments normally require human supervision to proceed with activity in all conditions. These rearranging, investigating, and all in all upkeep errands prompt exorbitant and tedious strategies amid the working stage. These issues are principally because of the open-circle structure regularly followed in programming advancement. Hence, there is popularity for administration many-sided quality decrease, administration mechanization, vigor, and accomplishing the majority of the …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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Development of Bio-Based Smart Textiles with Temperature Adaptive and Self-Cleaning Properties
Abstract: This research explores the development of bio-based smart textiles that integrate both temperature-adaptive and self-cleaning properties, responding to the growing need for sustainable and functional innovations in the textile industry. Unlike conventional fabrics, smart textiles provide multifunctional responses to environmental stimuli such as heat, light, and moisture. The focus of this work is on combining renewable natural fibers, biodegradable polymers, and environmentally friendly additives to design textiles that are not …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 · pp. 1–7 Read article
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The Relationship between Presentation of Online Self and Conscientiousness in Emerging Adults in India
Abstract: With the rise of social media use, understanding how individuals curate their online presence and experiment with different aspects of their digital identity is crucial in determining whether their online self is an extension of their offline identity or a distinct construct. This necessitates an examination of personality traits, particularly conscientiousness, to explore its role in online self-expression. Existing research suggests that individuals with high conscientiousness tend to maintain consistency …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 38–45 Read article
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Neuromorphic Self-Learning Polymer–MXene Photovoltaic Composites with Embedded Memristive Energy Routing for Adaptive Solar Energy Harvesting
Abstract: This dynamic and fast-growing intelligent renewable energy system requires photovoltaic materials that can autonomously adapt to fast-changing environmental conditions. In this study, a novel system is proposed for adaptive harvesting of solar energy based on Neuromorphic Self-Learning Polymer–MXene Photovoltaic Composites (NSPMPCs) with embedded memristive energy routing networks. To boost the charge generation and charge transport in the polymer–MXene heterostructure, the flexibility and processability of conductive polymers are integrated with the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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ML-Enhanced Self-Healing Fiber-Reinforced Polymer Composites with Embedded IoT Sensors for Damage Prediction
Abstract: Fiber-reinforced polymer (FRP) composites are widely used in aerospace and structural systems; nevertheless, the potential for microcracking and fatigue-induced performance degradation remains an obstacle with respect to improved service life. Traditional self-healing methods, while performing well on a chemical level, often lack real-time diagnostic awareness and adaptive control. To circumvent this, we developed a machine-learning augmented self-healing FRP composite, in which a DCPD–Grubbs catalytic matrix was combined with IoT sensor …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 188–208 Read article
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Evaluation of Medication Adherence in Patients with Type 2 Diabetes Mellitus: A Mixed- Methods Approach
Abstract: Background: Medication adherence refers to how closely an individual follows the prescribed medication regimen. It is essential for achieving desired therapeutic outcomes and improving patient health. Inadequate adherence can result in the deterioration of health conditions, higher mortality rates, and increased healthcare expenses. Diabetes mellitus, being a chronic condition, demands ongoing medical care not only to prevent the onset of serious complications but also to manage them effectively once they …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 28–35 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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Graphene–Perovskite Hybrid Opto-Electronic Modulators for Ultra-Low Power Optical Communication
Abstract: This paper proposes a novel self-adaptive neuromorphic opto-electronic transceiver architecture designed to enhance the intelligence, adaptability, and efficiency of next-generation optical communication networks. The proposed system integrates neuromorphic computing principles with photonic signal processing to enable real-time learning, dynamic resource allocation, and autonomous compensation of channel impairments such as dispersion, nonlinearities, and noise. Unlike conventional transceivers, the developed model employs spiking neural networks embedded within opto-electronic circuits to mimic biological …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 1, 2026 · pp. 41–52 Read article
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A Study to Assess the Knowledge and Practice of Self-Care Management Among Post-Operative Orthopaedic Patients in Selected Hospitals at K.G.F
Abstract: This study aimed to assess the level of knowledge and practice regarding self-care management among post-operative orthopedic patients using a non-experimental descriptive research design. A total of 60 post-operative orthopedic patients were selected through purposive sampling from a hospital in Kolar Gold Fields. Data were collected using a standardized checklist developed by Printz, Foster Kent, O’Leary, Robin, and Foster (1989), followed by an assessment of patients’ knowledge and practice related …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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High Expectations, Low Outcomes: Exploring Coping Mechanisms and Psychological Adaptation
Abstract: This review paper explores the psychological impact of high expectations and low outcomes, focusing on coping mechanisms to manage the resulting emotional and mental challenges. The anticipation of a guaranteed future often elevates self-esteem and brings a state of emotional ecstasy. When individuals perceive the future in alignment with their personal terms and conditions, they experience heightened happiness and acceptance of life. This sense of assurance often influences risk-taking capacity, …
Published in International Journal of Trends in Humanities · Vol. 2, Issue 2, 2025 · pp. 31–38 Read article
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Reinforcement Learning for Adaptive Sensing with Shape Memory Polymer-Based IoT Nodes
Abstract: The rapid expansion of intelligent sensing in the Internet of Things (IoT) has revealed the pressing need for materials and algorithms capable of self-adaptation in volatile environments. Conventional polymer-based sensors and static control strategies often fail to capture nonlinear thermo-mechanical dynamics, leaving them unsuitable for unpredictable operating conditions. Although prior studies have improved polymer composites or introduced algorithmic optimization independently, few attempts have coupled the adaptability of smart materials with …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 370–391 Read article
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Multi-Layered AI-Driven Security in Wireless Ecosystems
Abstract: The proliferation of next-generation wireless technologies, from 5G/6G networks to the pervasive Internet of Things (IoT), has birthed a hyperconnected digital ecosystem of unprecedented scale and dynamism. This interconnectedness, however, introduces a vast and volatile attack surface, rendering conventional, signature-based security paradigms fundamentally obsolete. This paper posits that the only viable defense is an offensive, self-adaptive one, predicated on the integration of artificial intelligence (AI) directly into the wireless security …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 21–28 Read article
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An Optimised CPU Scheduling Algorithm with Adaptive Time Quantum Approach
Abstract: CPU scheduling is an essential mechanism implemented by the operating system to determine the execution of multiple processes by the CPU. The primary objective of the scheduling algorithms is to optimize the systems’ performance efficiently. The performance of a CPU scheduling algorithm depends on various factors and can be evaluated on various criteria like average turnaround time, average waiting time, throughput, fairness etc. This paper aims to present an optimal …
Published in Journal of Operating Systems Development & Trends Read article
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A Systematic Study of AI-Powered Robotics for Ocean Cleanup of Plastics
Abstract: The escalating crisis of plastic pollution in marine ecosystems demands innovative solutions beyond conventional cleanup methods. This paper presents a systematic study of artificial intelligence (AI)-powered robotics for ocean plastic cleanup, evaluating their efficiency, technological advancements, and challenges. Autonomous systems, such as AI-driven surface drones (ASVs), underwater robots (autonomous underwater vehicles/remotely operated vehicles [AUVs/ROVs]), and swarm robotics, leverage machine learning (ML) and computer vision to detect, classify, and collect plastic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
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Smart Material–Based Energy Conversion and Storage Solutions in Industrial Engineering Systems
Abstract: A revolutionary step for attaining energy-efficient, sustainable, and intelligent industrial processes is the use of smart materials with industrial engineering systems. Advanced approaches to energy harvesting, conversion, and storage in industrial settings are made possible via smart materials, which are distinguished by their capacity to sense and react dynamically to mechanical, thermal, electrical, and external cues. These materials enable accurate energy recovery from vibrations in machinery, operational loads, waste heat, …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 33–38 Read article
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IoT-Enabled Polymer–Gel PCM Composites for Intelligent Thermal Management in Solar Facade Applications
Abstract: The present study investigates the development of a multifunctional polymer–gel phase change composite designed for solar façade applications with integrated real-time thermal monitoring capability. A crosslinked polyvinyl alcohol–borax matrix was employed as a three-dimensional polymer scaffold to encapsulate paraffin-based phase change material, ensuring leakage-free operation and structural integrity under repeated thermal cycling. Graphite nanoplatelets were incorporated as thermally conductive nano-fillers to enhance heat transfer through the polymer composite via percolation-driven …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 99–111 Read article
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Innovative Applications of Smart Materials in Aviation: A Comprehensive Review
Abstract: Smart materials are transforming the aviation industry by offering innovative solutions that enhance performance, safety, and sustainability. The use of smart materials can enhance the efficiency, safety, and longevity of aerospace structures by sensing, responding, and adjusting to environmental changes in real time. The objective of this review is to examine how smart materials can be used in aviation, especially in the field of sensor networks, control systems, and structural …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 114–132 Read article
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Innovations in Polymer Chemistry for Smart Composite Materials in Building Applications
Abstract: Driven by the need to reduce maintenance costs and environmental impacts, researchers have developed smart polymers that not only sense damage but also autonomously respond to external stimuli such as temperature, mechanical stress, and light. In the built environment, these advanced polymers—particularly shape memory polymers (SMPs)—offer unique self-healing, self-sensing, and adaptive properties that enhance the durability, safety, and energy efficiency of structures. The emergence of smart polymers marks a significant …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 699–707 Read article
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Adaptive E-Learning Algorithms and Heutagogy: A Systematic Analysis
Abstract: The proliferation of artificial intelligence (AI) and machine learning (ML) technologies has transformed the digital education landscape by enabling adaptive e-learning systems capable of personalizing content and optimizing learning paths. This study provides a systematic analysis of adaptive e-learning algorithms within the framework of heutagogy, an educational paradigm that emphasizes learner autonomy, self-direction, and capability development. The convergence of adaptive technologies with heutagogical principles offers new avenues for creating more …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 33–38 Read article
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Biohybrid Machines: Integrating Organic Systems with Robotics for Enhanced Mobility and Function
Abstract: Biohybrid machines are an innovative frontier at the intersection of biological systems and robotics. This research field explores the integration of living organisms with machines, combining the advantageous characteristics of both synthetic materials and biological components. Through the integration of organic cells, tissues, and even entire organisms with robotics, biohybrid machines possess unique capabilities such as self-healing, adaptability, and energy efficiency, making them more suitable for tasks that require flexibility …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 30–37 Read article