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907 articles for “Strategic Approach”
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Securing the Internet of Things: A Survey on Lightweight Blockchain Framework for Enhancing Security and Privacy
Abstract: Modern technologies, supported by the Internet of Things (IoT), have imparted great speed in data sharing between connected devices across several domains of the economy. The Internet of things transformed data collection activities with its creation of smart homes and cities, healthcare, transportation environments, and industrial automation. The fact that there are multiple resource-limited devices, and continuous data transfer of sensitive information has turned the IoT devices less secure and …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 6–14 Read article
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Personalized Nutrition and Exercise: Pioneering the Path to Precision Medicine
Abstract: Preventive healthcare is about to undergo a major shift thanks to the personalised exercise and nutrition paradigm, which is based on precision medicine concepts. In order to create tailored recommendations for improving health outcomes and preventing chronic diseases, this article explores the integration of genetic profiling, metabolic evaluation, and lifestyle factors. A person's response to food and exercise depends heavily on genetic and metabolic variances, which emphasises the need of …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 2, 2024 · pp. 42–46 Read article
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Analysis of Security in Cloud Computing
Abstract: These days, cloud computing is expanding quickly in the IT sector, offering a fresh approach to managing various information systems. The rapid pace of technological advancement highlights the importance of embracing and leveraging its advantages. Organizations transitioning to cloud-based information archiving demonstrate several key characteristics. These include enhanced IT infrastructure, the ability to manage remote access from any location in the world with a stable Internet connection, and the cost …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 35–40 Read article
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Multi-factor Fused Lightpath QoT Prediction for Optical Networks: A Multiple Reservoir Analysis Strategy
Abstract: Investigating the channel quality of transmission (QoT) in-depth is crucial for responsive and instant transparent optical network management. However, current lightpath QoT predictions are devoted to univariate modeling. Due to the QoT metrics complicated time-varying process and the existing effects of inter-channel factors, despite the use of an advanced and efficient echo state network (ESN), it is difficult to obtain ideal results in univariate prediction mode. Thus, this paper considers …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 28–34 Read article
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Proof-of-Minimum Privacy Leak Consensus Strategy in Blockchain
Abstract: In this study, we propose a novel consensus algorithm to preserve the security and privacy of a transaction. We propose a Proof-of-Minimum Privacy Leak consensus strategy. This means that the competing nodes which participate in the competition to mine the next block should give a proof of minimum privacy leak during its transaction. Only this proof will give highest votes to that node, and it will be elected as the …
Published in E-Commerce for Future & Trends Read article
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Plant Growth Promotion: Role of Nanoparticles and Soil Microorganisms
Abstract: Crops intended to support rapidly expanding populations often face numerous harsh environmental conditions. Despite the natural evolution of plants in response to changing environments and ongoing efforts to engineer resistant varieties using the latest research advancements, food scarcity remains a challenge. Cultivating rhizosphere microorganisms presents an alternative strategy for enhancing plant growth and development. Moreover, engagements between flora and microbes influence both flora’s well-being and soil productivity. Autonomous soil bacteria, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 188–193 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
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Measuring Social Media’s Impact on Impulse Buying Behavior
Abstract: This study investigates the influence of social media on impulse buying behavior, focusing on how various platforms drive spontaneous purchases and the psychological and demographic factors that contribute to this behavior. Using a mixed-method approach, the research combines quantitative surveys with qualitative insights to offer a comprehensive analysis. We explore how different types of content, such as targeted advertisements, influencer endorsements, and user-generated media, impact consumer impulses. The study examines …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 1, 2025 · pp. 14–22 Read article
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Impact of Red Stone Dust and Polymer Fabric in Enhancing the Properties of Black Cotton Soil
Abstract: To enhance the mechanical properties of problematic black cotton soil, engineers are focusing on reinforcing the soil with geosynthetic materials. This attention is particularly directed towards improving the strength characteristics of black cotton soil, given its inherent challenges associated with volume changes and plasticity. In this comprehensive study, red stone dust waste is introduced in varying percentages ranging from 5% to 35% to stabilize the black cotton soil. The goal …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 35–43 Read article
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Enhancement of the Life of Helical Spring Systems
Abstract: Helical springs are essential mechanical factors considerably employed in automotive, aerospace, and artificial systems because of their capability to store and release energy, absorb shock, and sustain repeated weight cycles. The performance, responsibility, and durability of these springs play a vital part in ensuring the effectiveness and safety of the entire system in which they are integrated. Over time, numerous researchers have focused on strategies to enhance the service life …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 12–24 Read article
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Design and Development of Pedalled Powered Electricity Generation
Abstract: Pedal power energy harvesting transforms the mechanical energy produced by pedalling into electrical energy, which can be used to operate devices or saved for future use. The strategy utilizes the physical exertion of pedalling to generate a reliable and eco-friendly energy source. This project aims to develop, construct, and demonstrate a functional mechanism. The generator utilizes the motion of pedalling a regular bicycle to generate electricity. The main goal of …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 1, 2025 · pp. 30–36 Read article
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Implement Explainable Machine Learning to Improve Conductivity in Polymer-CNT Nanocomposites: Supporting Adaptive, Flexible, and Long-Lasting IoT Wrap-Around Electronics Applications
Abstract: The rapid growth of Internet of Things (IoT) technologies requires electronic components that are adaptable, lightweight, and durable, and that can continue to function well in diverse contexts and circumstances. Polymer–carbon nanotube (CNT) nanocomposites have become interesting choices for these kinds of uses because they are more flexible, conduct electricity better, and can be made to fit specific needs. However, improving conductivity in these heterogeneous systems remains a major challenge …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 238–254 Read article
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Evolution of Lean Manufacturing in Mechanical Industries: From Traditional Tools to Digital Transformation
Abstract: Lean manufacturing has long been a foundational strategy for enhancing productivity, reducing operational waste, and improving overall efficiency in mechanical industries. Initially developed as part of the Toyota Production System, lean principles focused on eliminating non-value-adding activities and streamlining processes using a set of well-established tools such as 5S, Kaizen, Kanban, and value-stream mapping. Over the decades, these principles have been adopted and refined globally, particularly within the mechanical sector, …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 13–18 Read article
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Deadlock Controlling Algorithms for Distributed Database Systems
Abstract: When the demand for a system resource exceeds the system's capacity, deadlock – an operating system problem – results. The problem of deadlock frequently causes a distributed database's performance to lag. This research critically examined two types of deadlock problems that have an impact on a distributed database's performance. Transaction control and transaction location deadlock difficulties were the specific challenges that the article specifically addressed. In this paper, deadlock prevention …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 2, 2023 · pp. 10–17 Read article
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A novel similarity measure for interval value picture fuzzy Environment and extended TOPSIS
Abstract: Correct decision-making is the most arduous task in our daily life. The decisions are hard to make in the multi-criteria decision-making (MCDM) problems due to ambiguous and unexpected information. In order to cope with such uncertainties in the data, a new decision-making approach has been developed using a newly defined similarity measure under the framework of interval-valued picture fuzzy set (IVPFS), as an extension of picture fuzzy sets (PFS). In …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 1, 2024 · pp. 1–10 Read article
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Direct Synthetic Routes of MXenes and Their Application in Carbon Fiber Reinforced Plastics (CFRPs) As Supplementary Sizing Layer†
Abstract: Sized carbon fibers with a supplementary sizing layer of MXenes (synthesized via traditional MAX phases), bonded to carbon fibers (CFs) as well as the resin matrix via different kinds of physicochemical (van der Waals force, hydrogen bonding, covalent bonding) interactions enhanced the performance of the resulting carbon fiber reinforced plastic (CFRP) materials. This is because of the strong interface generated due to the appearance of MXene at the interface of …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 1, 2024 · pp. 07–13 Read article
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Detection of Phished URLs Using Machine Learning
Abstract: Phishing attacks remain a significant cybersecurity challenge, requiring innovative detection strategies. This study investigates the use of machine learning to detect phishing URLs, to improve the accuracy and reliability of detection systems. Utilizing a diverse dataset of legitimate and phishing URLs we extracted the features such as lexical properties, domain-specific details, and HTML content to train various machine learning models. Algorithms including Random Forest, support vector machine (SVM), and gradient …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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Land surface dynamics: A Multiphysics Approach to Modeling Mass Transport
Abstract: Land surface dynamics are governed by complex interactions among hydrological, atmospheric, and geomorphological processes that collectively drive the transport of mass across terrestrial environments. Traditional modeling approaches often isolate individual mechanisms, limiting their ability to capture the coupled feedbacks that shape landscape evolution. This study presents a multiphysics framework for modeling mass transport on land surfaces, integrating fluid flow, sediment transport, heat exchange, and chemical reactions within a unified computational …
Published in International Journal of Land · Vol. 2, Issue 2, 2025 · pp. 31–36 Read article
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Image-Based Crack Morphology Characterisation for Electrical Failure Analysis in Conductive Polymer Composites
Abstract: Electrical performance in conductive polymer composites is strongly governed by crack-network evolution, yet failure analysis typically relies on qualitative image inspection or electrical anomaly detection in isolation. This work proposes an end-to-end framework that converts optical/SEM crack imagery into a standardised crack morphology signature and quantitatively links it to electrical degradation indicators. A two-stage learning strategy is adopted: crack-representation pretraining using the public Concrete Crack Images for Classification dataset, followed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1375-1386 Read article
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Enhancing the Bioavailability of Polyphenols: A Comprehensive Review
Abstract: The polyphenolic compounds are abundantly found in different plant parts including fruits, leaves, stem and seeds, and are known for possessing a wide range of biological activities. These include antioxidant, antimicrobial, anti-inflammatory, anticancer, antidiabetic, cardioprotective, and neuroprotective effects. Their functional relation with their structure highlights the significant therapeutic potential. As a result, the polyphenols are being further being exploited for applications in functional foods, pharmaceuticals, and targeted drug delivery. Despite …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 37–51 Read article