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175 articles for “Scalability”
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Review of Anomaly Detection Techniques in MANETs: AMachine Learning Approach to Intrusion Detection, Attack Prediction, and Routing Security
Abstract: Mobile Ad hoc Networks (MANETs) are decentralized, self-organizing networks that offer flexibility and scalability for a variety of applications. However, their dynamic topology and limited resources make them highly susceptible to security threats. Traditional security measures often struggle to address the complexities of evolving and sophisticated attacks within such networks. This paper reviews the role of machine learning (ML) techniques in enhancing anomaly detection capabilities in MANETs, focusing on their …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 1–5 Read article
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Cloud Security Using Machine Learning: A Study
Abstract: The rapid adoption of cloud computing has revolutionized IT infrastructure, offering unprecedented scalability, flexibility, and cost efficiency. However, this paradigm shift introduces a new spectrum of sophisticated security challenges that traditional, signature-based security mechanisms often struggle to address effectively given the dynamic, multi-tenant, and distributed nature of cloud environments. This paper explores the critical role of Machine Learning (ML) as a potent paradigm for strengthening cloud infrastructure. ML emerges as …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 21–30 Read article
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A Critical Study of Virtualization Technologies for Design of Web 3.0 Applications
Abstract: Web 3.0 represents a paradigm shift toward decentralized, user-centric internet applications built on blockchain technology, semantic web principles, and distributed systems. Virtualization technologies play a crucial role in enabling the infrastructure, scalability, and resource management required for Web 3.0 applications. This review article critically examines the intersection of virtualization technologies and Web 3.0 application design, exploring how containerization, virtual machines, serverless computing, and network virtualization facilitate decentralized architectures. We analyze …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 6–12 Read article
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Greener ways of synthesizing Styrene oxide
Abstract: Styrene oxide is a key intermediate used in the fragrance, flavour, polymer and pharmaceutical industries, basically synthesized through processes such as epoxidation followed by distillation. These methods generate effluents that give rise to significant environmental challenges and rendering large-scale commercial production non-viable. The urgency for a greener and more economically viable synthesis routes has given rise to the exploration of alternative methods that produces lesser effluent generation. Enzymatic synthesis offers …
Published in International Journal of Green Chemistry · Vol. 11, Issue 2, 2025 · pp. 14–20 Read article
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Development of Nanocomposites for Sensor Applications
Abstract: The development of nanocomposites for sensor applications represents a significant breakthrough in materials science and engineering, driven by the unique properties of nanomaterials. Nanocomposites, which combine nanoparticles with polymers or other matrices, exhibit enhanced mechanical, electrical, and thermal properties, making them highly suitable for various sensing applications. The integration of nanoparticles, such as metal oxide, carbon nanotubes, and graphene, into a composite framework can dramatically increase sensitivity and selectivity, enabling …
Published in International Journal of Applied Nanotechnology · Vol. 11, Issue 1, 2025 · pp. 18–37 Read article
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Cell Culture Technologies in Animal Biotechnology: Innovations and Applications
Abstract: Cell culture technologies have become integral to animal biotechnology, enabling the in vitro study of cellular behaviors, disease mechanisms, and the development of therapeutic solutions. These technologies are foundational for advancements in drug discovery, gene therapy, regenerative medicine, and vaccine production. Over recent decades, innovations in culture media, bioreactor systems, and three-dimensional (3D) cell culture models have significantly enhanced the efficiency and reproducibility of cell-based research. Serum-free and chemically defined …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 2, 2024 · pp. 25–29 Read article
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Hybrid Cryptographic Framework for Cloud Data Security: Integration of AES-OTP, RSA, and Temporal Access Control Mechanisms
Abstract: This generation of cloud computing has characterized the Internet of Things with exponentially increasing data generation, processing, and storage. Regrettably, however, accompanying this trend of growth is the increased concern for cloud-based systems about security, privacy, and control of access to data. The proposed work introduces a hybrid cryptographic framework that combines AES, OTP, and RSA encryption methods with temporal mechanisms to enhance the security of data in the cloud. …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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A Hybrid Approach to Secure Cloud Storage: Machine Learning and Blockchain Integration
Abstract: With the rapid adoption of cloud computing across industries, securing cloud storage has become a paramount concern for organizations that rely on cloud-based systems to manage sensitive data. Traditional security approaches often struggle with the complex and evolving nature of cyber threats, leading to vulnerabilities that malicious actors can exploit. In response to these challenges, this paper proposes a hybrid approach that integrates machine learning and blockchain technologies to create …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 35–47 Read article
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Microservices vs. Monoliths: Choosing the Right Architecture for Your Project
Abstract: This comprehensive paper examines the critical differences between microservices and monolithic architectures, providing an in-depth comparison to guide software architects and developers in selecting the most appropriate approach for their projects. We conduct a thorough analysis of the strengths and weaknesses inherent in each architectural style, taking into account crucial factors such as scalability, maintainability, deployment complexity, and the structure of development teams. Through detailed case studies, performance metrics, and …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 31–38 Read article
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Exploring Conductive Polymers for Flexible Electronics:Fabrication Techniques and Performance Analysis
Abstract: The advent of conductive polymers has heralded a new era in the development of flexible electronics, offering a unique blend of mechanical flexibility and electronic functionality. This paper explores the various fabrication techniques employed in the production of conductive polymers, with a particular focus on their application in flexible electronic devices. Key methods such as chemical vapor deposition, solution processing, and electrochemical polymerization are reviewed in detail, highlighting their advantages …
Published in International Journal of Polymer Science and Engineering · Vol. 10, Issue 1, 2024 · pp. 22–28 Read article
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Bioalcohol Production: A Detailed Review
Abstract: Bioethanol stands as a pivotal player in the realm of renewable energy, deriving from organic materials abundant in sugars or their precursors. Its economic viability hinges largely on the affordability of substrates, which directly influences the overall cost of production. Microbial fermentation of carbohydrates, encompassing both pentose and hexose sugars, yields alcohols alongside valuable by-products, rendering bioethanol a versatile resource, particularly in the context of fuel production. The optimization of …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 10, Issue 1, 2024 · pp. 52–59 Read article
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Transforming Healthcare Through Cloud Computing
Abstract: The dynamic evolution and progression of cloud computing technology have ushered in a paradigm shift within the healthcare sector, ushering in a multitude of advantages and reshaping the landscape of healthcare service delivery. Cloud computing stands out as a pivotal facilitator for healthcare entities, furnishing them with the flexibility, scalability, and cost-effectiveness required to navigate the ever-expanding demands of contemporary healthcare. Cloud computing in healthcare reduces the necessity for substantial …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 34–43 Read article
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Development of a Blockchain Technology Framework for Agri-food Supply Chain Management
Abstract: Supply chain management involves effectively managing the movement of goods and services all the way from their origin as raw materials to their delivery to the final consumer. It involves all the steps involved in transforming, transporting, and delivering products to meet customer demand. In agri-food supply chain management, producers, distributors, and consumers are demanding greater transparency in the food sector due to a rise in agricultural mislabeling and negligent …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 22–28 Read article
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A Survey on Secure Authentication Scheme for VANETs
Abstract: In wireless networks, Vehicular Adhoc Net- work (VANET), is one of most recent research area, which is growing day by day. It is utilized to give an efficient Traffic Information System (TIS), Intelligent Transportation System (ITS), and Life Safety. Authentication is an developing issue for VANET security. There are many authentication schemes which have been given for stabilized communication among autonomous entities for efficient, fast, scalable and reliable data transmission. …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 2, Issue 2, 2016 · pp. 28–38 Read article
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From Waste to Walls: A Comparative Study of Recycled Buildings in India
Abstract: As the construction sector across the world is compelled to rein in its environmental impact – currently, estimated at nearly 40% of global carbon emissions – the use of recycled materials is no longer a secondary aesthetic option but a structural imperative. This paper presents a comparative study of pioneering Indian architectural projects that assess the effectiveness of diverted waste streams in contemporary construction. Three iconic projects to be discussed …
Published in International Journal of Sustainable Building Technology · Vol. 9, Issue 2, 2026 Read article
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Advances in the Synthesis and Functional Applications of Crystalline Materials
Abstract: Crystalline materials represent one of the most important classes of advanced materials in modern science and engineering due to their highly ordered atomic arrangements and outstanding physical, chemical, electrical, optical, thermal, and mechanical properties. The periodic organization of atoms within crystal lattices provides exceptional opportunities for controlling and optimizing material performance through advanced synthesis strategies, crystal growth techniques, compositional modification, and defect engineering. Recent progress in materials science has enabled …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 12, Issue 2, 2026 Read article
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Brain-Inspired Computing: The Rise of Neuromorphic AI
Abstract: Neuromorphic computing is an emerging computing paradigm that draws inspiration from the structure and operational principles of the human brain. By integrating ideas from neuroscience, computer design, and materials science, neuromorphic systems aim to deliver high-performance, low-power computation that is suitable for smart data processing. Unlike traditional von Neumann architectures, neuromorphic hardware uses massively parallel processing, event driven computation, and adaptive learning. This paper provides an overview of neuromorphic principles, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 2, 2026 Read article
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Exploration of Explainable Artificial Intelligence (XAI) Techniques to Enhance Model Interpretability
Abstract: Explainable Artificial Intelligence (XAI) has become a major research field because of the rising application of complex machine learning and deep learning models in actual decision-making systems. Although such models are accurate, they are in many cases black boxes and therefore the users do not have much understanding of the way the decisions are generated. This absence of transparency brings up some serious concerns connected with trust, accountability, fairness, and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Classification of power quality disturbances using advanced deep learning algorithms for Accurate and efficient electrical signal analysis
Abstract: Power systems today have to deal with more and more power quality issues (PQDs) like voltage drops, rises, harmonics, and transients because more people are using renewable energy sources and electronic devices. These problems can hurt equipment, stop services, and lower the overall reliability of power. In real-time settings, traditional detection methods often don't work as quickly or accurately as they should. This paper looks at how deep learning models, …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article