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175 articles for “Scalability”
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Advances in Machine Learning and Data Analytics: A Multidisciplinary Synthesis
Abstract: Machine learning has emerged as a key driver of innovation across a wide range of fields. Its transformative potential is evident in natural language processing, computer vision, and real-time automation, where it addresses intricate challenges with remarkable efficiency. This paper delves into recent developments in machine learning, spotlighting techniques, such as semi-supervised learning frameworks, stable diffusion models for generative tasks, and advanced lightweight architecture for real-time defection detection. By integrating …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 12–17 Read article
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Advanced Encryption Framework for Secure Cloud Storage
Abstract: It is crucial to protect data in the current setting where the cloud has become a common home for storing information. This project provides a novel solution for generic file sharing and protection where data is stored in the AWS S3 system with the aid of cryptographic algorithms. In the development of the proposed system, AES and RSA modes of security are used to enhance security in the file uploading, …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 1–11 Read article
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Luo Converter with Optimized PI Controller Design for Grid-Tied PV-Based Electric Vehicle
Abstract: There is a huge requirement for installing EV chargers all over the globe since the depletion of fossil fuels which are edging. There is a need to find alternative advanced converter to boost the output from PV. The solar energy is the recomended alternative energy to generate electrical enegy without any pollution. Also, In the present scenario, we need to go for Scalable & Sustainable Electric Vehicle (EV) charging infrastructure …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 23–27 Read article
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A Comprehensive Study on Evolvable Hardware
Abstract: AbstractEvolvable Hardware (EHW) is an innovative approach to hardware design that utilizes evolutionary algorithms, such as Genetic Algorithms (GAs) and Genetic Programming (GP), to enable electronic systems to autonomously adapt, optimize, and reconfigure themselves in response to changing environments or requirements. Inspired by natural evolution, EHW dynamically evolves hardware configurations through selection, mutation, and crossover, allowing systems to improve performance, enhance fault tolerance, and achieve greater energy efficiency. Central to …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 16–22 Read article
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Review and Analysis of Fault Detection in Self-Healing Hardware System
Abstract: Self-healing hardware systems represent a transformative advancement in fault tolerance, enabling devices to autonomously detect, diagnose, and recover from malfunctions to ensure continuous and reliable operation. This paper explores the critical role of fault detection techniques in self-healing systems, focusing on methods such as built-in self-test (BIST), redundancy, and machine learning-based approaches. These techniques facilitate proactive and real-time fault resolution, addressing the limitations of traditional reactive strategies. The study highlights …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 11–15 Read article
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Virtual Reality in Nursing Education: Enhancing Clinical Training and Competency
Abstract: Background: The integration of virtual reality (VR) in nursing education has emerged as a transformative approach to bridge gaps in clinical training, particularly where traditional hands-on opportunities are limited. This study investigates the effectiveness of VR-based simulation on improving clinical competency and self-efficacy among undergraduate nursing students. Methods: A quasi-experimental, pre-test/post-test design was employed with 60 final-year nursing students divided into control (traditional training) and experimental (VR training) groups. Participants …
Published in International journal of Nursing Science Practice and Research Read article
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Evaluation of Machine Learning and Deep Learning Models for Classification Tasks on Crime Data: A Comparative Study
Abstract: The classification of crime data has grown more and more important for public safety and law enforcement due to the increasing demand for precise and effective predictive models. To classify crime data, this study assesses and contrasts the effectiveness of several machine learning (ML) and deep learning (DL) models, such as decision trees, support vector machines, neural networks, and convolutional neural networks. The study evaluates the models' accuracy, efficiency, and …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 1–15 Read article
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Design and Development of an Interactive Robotic Companion with Expressive Personality Traits
Abstract: Abstract This study introduces the development of an interactive robotic companion designed to enhance human-robot interaction (HRI) through mobility, animatronic eye movements, and natural language processing (NLP). Targeting broader accessibility, the prototype aims to provide companionship, especially for elderly individuals and those with physical limitations. The system integrates an Arduino MEGA 2560 microcontroller with key components, including an Echo Dot for NLP and voice recognition, servo-controlled animatronic eyes for lifelike …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 1, 2025 · pp. 1–14 Read article
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Wireless Sensor Networks and Its Clustering Algorithm
Abstract: Distributed sensor nodes that gather and send data wirelessly make up Wireless Sensor Networks (WSNs), which are crucial for several applications, including industrial automation, smart cities, healthcare, and environmental monitoring. However, effective data transfer and network management are crucial issues because of their constrained battery life and processing power. By grouping sensor nodes, lowering energy usage, and extending network lifespan, clustering algorithms are essential for improving network efficiency. To reduce …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
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A Review on Bio-Oil Production from Agricultural Waste Based on Various Processes, Bio-Oil Yield and Energy Recovery
Abstract: Agricultural waste generated through cultivation of crops, vegetables, fruits, and poultry can pollute the environment and affect the health of both humans and animals. Traditionally, most agricultural wastes are either burned or disposed of in landfills which cause acute environmental pollution. These easily accessible and underutilized agro-wastes remain a potential resource for biofuel production. This review analyses several thermochemical and biochemical methods encompassing pyrolysis, gasification, and hydrothermal carbonization (HTC) and …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 11, Issue 1, 2025 · pp. 9–19 Read article
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A Comprehensive Review of Smart Parking Systems: Technologies, Challenges, and Future Directions
Abstract: Abstract Smart Parking Systems (SPS) are gaining significant attention as a critical solution to address the growing concerns of urban congestion, inefficient use of parking spaces, and environmental sustainability. This paper presents a comprehensive review of SPS, focusing on the key technologies, challenges, and future directions. We explore the integration of advanced technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and sensor networks in …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 1–13 Read article
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Future-Ready Living: Energy Self-Sufficient Housing for Bharat’s Sustainability Goals
Abstract: Abstract The rapid urbanization of Bharat presents a critical need for sustainable, self-sufficient housing models that tackle the challenges of resource consumption, energy dependency, and environmental impact. This research explores unique design interventions aimed at creating energy-efficient, self-sustaining housing societies tailored to the goals of Bharat 2047. By integrating principles of passive design, renewable energy technologies, and water conservation systems, the study proposes a holistic architectural approach to promote ecological …
Published in International Journal of Sustainable Building Technology · Vol. 8, Issue 1, 2025 · pp. 55–78 Read article
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Biotechnology for Biofuels: Current Progress and the Future of Renewable Energy from Biomass
Abstract: The world is facing significant environmental challenges due to the over-reliance on fossil fuels, resulting in climate change, air pollution, and energy insecurity. The pursuit of sustainable and renewable energy solutions has driven the advancement of biofuels, which can be produced from diverse biomass sources, including agricultural waste, wood, and algae. Biotechnology has played a critical role in improving biofuel production by enhancing the conversion of biomass into bioethanol, biodiesel, …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 11, Issue 1, 2025 · pp. 29–34 Read article
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Industrial Biotechnology and Circular Economy: A Pathway to Sustainable Bio-Manufacturing
Abstract: Industrial biotechnology, also known as white biotechnology, represents the application of biological systems and organisms in industrial processes, focusing on the production of bio-based products, including biofuels, chemicals, and materials. With the pressing need for sustainable manufacturing practices to address environmental degradation, resource depletion, and climate change, integrating industrial biotechnology with the principles of the circular economy offers an innovative pathway to ensure sustainability. The circular economy, which focuses on …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 11, Issue 1, 2025 · pp. 17–21 Read article
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Recent Advances in Solar Photovoltaic Technologies: Efficiency, Sustainability, and Market Trends
Abstract: A way to meet the growing demand for electricity worldwide while tackling environmental issues is through solar photovoltaic (PV) technology. Solar PV is a renewable energy source that provides a sustainable substitute for fossil fuels, aiding in the global endeavor to reduce carbon emissions. Recent developments in technology have greatly increased photovoltaic systems' scalability, cost, and efficiency, increasing their viability for broad use. The most recent advancements in photovoltaic materials, …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 11, Issue 1, 2025 Read article
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Decentralized Renewable Energy Systems: A Pathway for Rural Electrification and Energy Equity
Abstract: With a growing trend toward decentralized renewable energy (DRE) systems, the global energy landscape is changing dramatically. These systems have emerged as a viable solution to address two critical global challenges: rural electrification and energy equity. Reliable power is unavailable to millions of people, especially in rural and underdeveloped areas, which impairs economic development, healthcare, education, and general quality of life. Decentralized renewable energy systems offer a sustainable, cost-effective, and …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 11, Issue 1, 2025 Read article
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Supercritical Fluid Extraction: Mechanisms, Applications, and Recent Developments
Abstract: Supercritical Fluid Extraction (SFE) is an advanced and versatile separation technique that harnesses the unique properties of supercritical fluids (SCFs) to extract a wide variety of compounds from both solid and liquid matrices. Supercritical fluids, which are substances at a temperature and pressure above their critical points, possess both liquid-like density and gas-like viscosity, making them highly effective solvents for extraction processes. This review delves into the underlying mechanisms of …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 1, 2025 Read article
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Construction Project Monitoring Using Computer Vision Technology – A Literature Review
Abstract: The construction industry is witnessing a transformative shift with the adoption of computer vision (CV) technologies for productivity monitoring and performance evaluation. This review consolidates the advancements in CV applications, focusing on areas, such as real-time progress tracking, resource management, and safety monitoring. The analysis highlights how automated systems, powered by deep learning models and object detection algorithms, are replacing traditional manual methods, offering enhanced accuracy, efficiency, and decision-making capabilities. …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 · pp. 1–9 Read article
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The Intersection of Nanotechnology and IoT: New Era of Connectivity
Abstract: The rapid evolution of IoT (IoT) has transformed various sectors, fostering unprecedented connectivity and data exchange between devices. The incorporation of nanotechnology into IoT systems presents unique opportunities to enhance performance, reduce energy consumption, and miniaturize components, thereby paving the way for next-generation smart devices. This study explores the synergies between nanotechnology and IoT, evaluating key advancements in nano-enabled devices, sensors, and communication technologies. A comprehensive analysis of existing literature …
Published in International Journal of Applied Nanotechnology · Vol. 11, Issue 1, 2025 · pp. 9–17 Read article
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Mechanisms and Applications of Self-Healing Materials: Towards Sustainable Structural Solutions
Abstract: Self-healing material is an innovative invention within material science, which possesses the ability for self-repair of damages with a view to prolong the life of various structure types. Bioinspired self-healing materials and their applications is reviewed in this study by underlining their examples and significance for infrastructure, aerospace, automotive, marine, and energy sectors. The main mechanisms are intrinsic and extrinsic self-healing processes, along with advanced fabrication techniques such as microencapsulation, …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 11, Issue 1, 2026 · pp. 1–26 Read article