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808 articles for “adaptive systems”
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Photosynthetic Living Plant–Integrated Cybernetic Sensors for Autonomous Environmental Intelligence
Abstract: The increasing demand for sustainable and autonomous environmental monitoring systems has motivated the development of biologically integrated sensing technologies that combine living organisms with advanced cybernetic intelligence. This study proposes a novel framework of Photosynthetic Living Plant–Integrated Cybernetic Sensors for Autonomous Environmental Intelligence, where living plants act as self-sustaining sensing platforms capable of continuously monitoring environmental conditions without external energy sources. By integrating bioelectrical signal acquisition modules, flexible nanomaterial electrodes, …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Application of B-trees for Design of Optimal Page Replacement Technique in Modern Operating Systems
Abstract: Algorithms related to replacing the memory pages in operating systems are critical components of modern operating systems that manage virtual memory efficiently. Current algorithms such as LRU (Least Recently Used), Clock algorithms as well as FIFO (First-In-First-Out), often struggle with the increasing demands of contemporary applications and larger memory hierarchies. This research work proposes a novel approach utilizing B-tree data structures to design an optimal page replacement technique. The proposed …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 23–30 Read article
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Optimization Strategies for Finned-Tube Gas Coolers in CO2 Heat Pump Systems: A Review
Abstract: In order to reduce CO2 emissions through increased energy use flexibility, this article examines existing energy solutions. It focuses on demand-side management tools such as electric vehicles and heat pumps, as well as storage possibilities. The aim is to shift to sustainable energy sources by striking a balance between non-renewables (coal, gas) and renewables (solar, wind). This is demonstrated by the notable decrease in the usage of oil-fired boilers and …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 3, 2024 · pp. 11–20 Read article
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Climate Change & Its Impacts: Understanding the Global Climatic Trends
Abstract: One of the most pressing environmental issues of our time is climate change, which is caused by human activity such as the burning of fossil fuels, deforestation, and industrial operations. This paper examines the underlying mechanisms of climate change, focusing on the role of greenhouse gases in the Earth's atmosphere and their impact on global temperature rise. Through a comprehensive analysis of historical climate data and current trends, we highlight …
Published in International Journal of Climate Conditions · Vol. 1, Issue 1, 2024 · pp. 38–43 Read article
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Academia to Industry: The Impact of AI on Information Retrieval Technologies
Abstract: Artificial intelligence (AI) has significantly reshaped the field of information retrieval (IR), bridging theoretical advancements from academia with practical applications across various industries. This article explores the transformative impact of AI on IR technologies, highlighting key contributions from academic research and how they have been adapted for industry-scale implementations. Academic innovations, such as neural ranking models and semantic search techniques, have improved the accuracy and relevance of search results by …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
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Integrating AI and ML in Tribology: A Review of Current Trends and Future Prospects
Abstract: This review paper explores the growing integration of artificial intelligence (AI) and machine learning (ML) within the field of tribology. Tribology, the study of friction, wear, and lubrication, is crucial for Improving the performance and longevity of mechanical systems. This review explores the role of AI and machine learning techniques, including artificial neural networks (ANNs), support vector machines (SVMs), and physics-informed machine learning (PIML)can be used to solve difficult tribological …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 56–60 Read article
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A Comprehensive Study of various Multi-Area Hybrid Power Systems for Generation Control
Abstract: This paper is a detailed examination of multi-area hybrid power systems in the control of the generation taking into consideration the two area up to five area connected networks. As renewable energy sources are more and more integrated, and modern grids become more and more complex, the stability of the system itself and the frequency regulation have risen to a major issue. The study highlights the significance of Automatic Generation …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 2, 2025 · pp. 28–42 Read article
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Brain And Gesture Controlled Assistive System For Physically Challenged Individuals
Abstract: Assistive communication technologies are essential for improving the independence of individuals with physical and sensory disabilities. This paper presents the design and implementation of a multimodal assistive system that integrates brain signal acquisition and gesture recognition for real- time communication. The system utilizes an Electroencephalography (EEG) sensor to capture neural activity and a PAJ7620 gesture sensor along with an ADXL335 accelerometer to detect hand movements. The acquired signals are processed …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 1, 2026 · pp. 36–43 Read article
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An Efficient Secure and Security Authentication Scheme for Vehicular Ad-hoc Networks
Abstract: AbstractVehicular ad hoc networks (VANETs) are planned to be deployed within the next decennary to repair driver protection, stop clash, and provide traffic interpreter. Present years have supported an increasing interest in the security schemes for VANETs, as this territory was generally less investigated contrasted with different regions medium access and routing. In particular, efficient authentication of the messages in a VANET with other desirable security features has been heavily …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 5, Issue 1, 2018 · pp. 29–35 Read article
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Regenerative Agriculture: Enhancing Soil Health, Biodiversity, and Ecosystem Resilience for Sustainable Dairy Development in the Tropics
Abstract: Regenerative agriculture offers a holistic approach to improving soil health, enhancing biodiversity, and building ecosystem resilience, particularly within tropical dairy systems. This study explores the potential of regenerative agricultural practices in fostering sustainable dairy development in the tropics, a region often challenged by soil degradation, water scarcity, and climate variability. Key practices, such as multi-species pastures, crop-livestock integration, agroforestry systems, and water management techniques, are highlighted for their role in …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 1, 2025 · pp. 28–41 Read article
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A study on CMOS Operational Amplifier in Sensor Development
Abstract: CMOS operational amplifiers (op-amps) have emerged as pivotal components in modern sensor development, enabling the amplification and conditioning of weak signals with high precision and efficiency. Their inherent advantages low power consumption, compact size, and seamless integration with digital circuits make them ideal for advancing miniaturized, battery-powered sensor systems in fields ranging from biomedical devices to IoT networks. By delivering precision, power efficiency, and integration, CMOS op-amps are not just …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 1, 2026 · pp. 01–07 Read article
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Re-imaging Education Policy of a Framework Based on Indian Knowledge Systems
Abstract: Digital transformation revolutionized education; it enhances teaching and learning, improves administrative tasks, and empowers students and educators. Digital transformation in education and its importance in shaping the future. Integration of technology in classrooms enables interactive and immersive learning. Digital tools offer dynamic learning experiences, enhancing student engagement. This leads to improved comprehension and knowledge retention. Personalized learning experiences are facilitated by digital transformation. Digital transformation creates vast resources and online …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 42–63 Read article
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AI-integrated Responsive Polymer Composites for Controlled Drug Delivery
Abstract: In the current biomedical engineering, it has been established that the development of smart drug delivery systems has become a paramount of relevance especially in ensuring precise, controlled and targeted therapeutic effects. This paper proposes a responsive polymer composite architecture with built-in AI, which is used to deliver drugs in a controlled manner and involves the development of advanced material design and predictive modeling based on data. Biocompatible materials and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Direction of Arrival Estimation in Mobile Communication Systems using MUSIC Algorithm
Abstract: AbstractAdaptive antenna arrays use multiple antenna elements to form directional patterns in order to improve the performance of wireless communication systems. The antenna arrays also have the ability to estimate the Direction-of-Arrival (DoA) of the signals received from the desired transmitters as well as the directions of interference signals. The results of DoA estimation are then used to adjust the weights of the adaptive Multi-Input Multi-Output (MIMO) antenna so that …
Published in Journal of Communication Engineering & Systems · Vol. 3, Issue 2, 2013 · pp. 20–27 Read article
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Unravelling the Environment, Aroma, and Molecular Effects on Mood Fluctuations: A Review
Abstract: The ebb and flow of human emotions encompass a complex interplay of molecular processes governing mood fluctuations. This comprehensive review navigates the intricate realm of neurotransmitters, neuroplasticity, hormonal influences, genetics, and inflammation to unravel the molecular tapestry that shapes our emotional states. Foundational to mood regulation are neurotransmitters – serotonin, dopamine, and norepinephrine – orchestrating delicate balances within neural circuits. Recent molecular neuroscience elucidates their receptor pathways and signaling cascades, …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 14–20 Read article
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Polymer Chemistry in Shoulder Orthotics
Abstract: The design of effective shoulder orthotic devices has increasingly made use of polymeric materials because of their versatility, durability, and biocompatibility. This review illustrates polymer chemistry role in constructing an orthotic device for shoulder subluxation, which is a commonly occurring post stroke or injury condition. Proprietary design elements such as polypropylene are rigid yet moldable which help in anatomical formulating for joint stabilization. On the other hand, rubber elastomers, medicinal …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 21–28 Read article
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The Role of BIM and Parametric Intelligence in Architectural Practice: A Study of Architects in Uttarakhand
Abstract: Dehradun, the capital city of Uttarakhand, represents one of India’s youngest and most dynamic urban centers in Uttarakhand. Since its designation as the state’s capital, the city has experienced a rapid evolution in architectural development and construction technology. As urbanization and design demands increase, architectural practices in Dehradun and across Uttarakhand are progressively shifting from conventional methods toward advanced digital tools that promote precision, efficiency, and sustainable outcomes. Among these, …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 19–38 Read article
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From Differential Equations to Data Science: A Survey on Analytical Methods in Contemporary Problems
Abstract: The integration of differential equations and data science methods represents a dynamic and evolving approach to solving contemporary challenges across a wide range of disciplines, including engineering, physics, biology, economics, and finance. Differential equations have long served as fundamental tools for modeling continuous systems and processes, offering powerful insights into the behavior of natural and man-made phenomena. For example, they describe how heat diffuses through materials, how populations grow in …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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The Daily Architect: A Personal Guide to Mastering Time and Building Productive Routines
Abstract: In today's fast-paced world, individuals face increasing challenges in managing their time, tasks, and personal responsibilities effectively. The concept of "My Daily Helper" is introduced as an intelligent, user-friendly system designed to streamline daily activities and enhance personal productivity. This research explores the design, functionality, and potential impact of such a digital assistant, emphasizing its role in task organization, time management, and decision support. The study investigates how a daily …
Published in Journal of Production Research & Management · Vol. 16, Issue 1, 2026 · pp. 37–50 Read article